kdd_2018_conference_experiments.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load Required Python packages and setup working directory alongwith required data and pre-trained models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "========================================\n",
      "Current Working Directory: /Users/raghav/Documents/Uni/oc-nn-bak\n",
      "========================================\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "# import the required packages.\n",
    "\n",
    "import numpy  as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import seaborn as srn\n",
    "import sys  \n",
    "import os\n",
    "cwd = os.getcwd() \n",
    "sys.path.append(cwd+\"/data_load/\")\n",
    "sys.path.append(cwd+\"/models/\")\n",
    "sys.path.append(cwd+\"/metrics/\")\n",
    "\n",
    "print\"=\"*40\n",
    "print \"Current Working Directory:\",cwd\n",
    "print\"=\"*40\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Experiments : Synthetic Data : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(200, 512) (200,)\n",
      "('[INFO] SYNTHETIC DATA : (Normal, Anomalies) dimensions: ', (190, 512), (10, 512))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/raghav/Documents/Uni/oc-nn-bak/models/tf_OneClass_NN_model.py:13: UserWarning: \n",
      "This call to matplotlib.use() has no effect because the backend has already\n",
      "been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n",
      "or matplotlib.backends is imported for the first time.\n",
      "\n",
      "The backend was *originally* set to 'module://ipykernel.pylab.backend_inline' by the following code:\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/runpy.py\", line 174, in _run_module_as_main\n",
      "    \"__main__\", fname, loader, pkg_name)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/runpy.py\", line 72, in _run_code\n",
      "    exec code in run_globals\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel_launcher.py\", line 16, in <module>\n",
      "    app.launch_new_instance()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/traitlets/config/application.py\", line 596, in launch_instance\n",
      "    app.start()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/kernelapp.py\", line 477, in start\n",
      "    ioloop.IOLoop.instance().start()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/zmq/eventloop/ioloop.py\", line 162, in start\n",
      "    super(ZMQIOLoop, self).start()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/tornado/ioloop.py\", line 888, in start\n",
      "    handler_func(fd_obj, events)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/tornado/stack_context.py\", line 277, in null_wrapper\n",
      "    return fn(*args, **kwargs)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py\", line 440, in _handle_events\n",
      "    self._handle_recv()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py\", line 472, in _handle_recv\n",
      "    self._run_callback(callback, msg)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py\", line 414, in _run_callback\n",
      "    callback(*args, **kwargs)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/tornado/stack_context.py\", line 277, in null_wrapper\n",
      "    return fn(*args, **kwargs)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/kernelbase.py\", line 283, in dispatcher\n",
      "    return self.dispatch_shell(stream, msg)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/kernelbase.py\", line 235, in dispatch_shell\n",
      "    handler(stream, idents, msg)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/kernelbase.py\", line 399, in execute_request\n",
      "    user_expressions, allow_stdin)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/ipkernel.py\", line 196, in do_execute\n",
      "    res = shell.run_cell(code, store_history=store_history, silent=silent)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/zmqshell.py\", line 533, in run_cell\n",
      "    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2718, in run_cell\n",
      "    interactivity=interactivity, compiler=compiler, result=result)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2822, in run_ast_nodes\n",
      "    if self.run_code(code, result):\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2882, in run_code\n",
      "    exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "  File \"<ipython-input-4-dd96d49a00ef>\", line 1, in <module>\n",
      "    get_ipython().magic(u'matplotlib inline')\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2160, in magic\n",
      "    return self.run_line_magic(magic_name, magic_arg_s)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2081, in run_line_magic\n",
      "    result = fn(*args,**kwargs)\n",
      "  File \"<decorator-gen-105>\", line 2, in matplotlib\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/magic.py\", line 188, in <lambda>\n",
      "    call = lambda f, *a, **k: f(*a, **k)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/magics/pylab.py\", line 100, in matplotlib\n",
      "    gui, backend = self.shell.enable_matplotlib(args.gui)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2950, in enable_matplotlib\n",
      "    pt.activate_matplotlib(backend)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/pylabtools.py\", line 308, in activate_matplotlib\n",
      "    matplotlib.pyplot.switch_backend(backend)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/matplotlib/pyplot.py\", line 229, in switch_backend\n",
      "    matplotlib.use(newbackend, warn=False, force=True)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/matplotlib/__init__.py\", line 1305, in use\n",
      "    reload(sys.modules['matplotlib.backends'])\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/matplotlib/backends/__init__.py\", line 14, in <module>\n",
      "    line for line in traceback.format_stack()\n",
      "\n",
      "\n",
      "  matplotlib.use(\"Agg\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      " [  7.48606887e+02]\n",
      " [  2.68831486e+03]\n",
      " [  1.17185274e+03]\n",
      " [ -9.33106816e+02]\n",
      " [ -5.44858600e+02]\n",
      " [  2.04280178e+03]\n",
      " [  8.49647443e+02]\n",
      " [  1.51431565e+03]]\n",
      "[[-165978.47043319]\n",
      " [-169462.26068472]\n",
      " [-170043.57926523]\n",
      " [-163808.19437854]\n",
      " [-167927.1155115 ]\n",
      " [-171297.77796887]\n",
      " [-172178.78422793]\n",
      " [-162882.43820225]\n",
      " [-170990.79762526]\n",
      " [-167496.99973796]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/ocsvm_linear.csv\n",
      "Finished sklearn_OCSVM_linear\n",
      "pos_decisionScore [[ -3.85563390e-04]\n",
      " [  3.24948895e-05]\n",
      " [  5.39291547e-03]\n",
      " [  5.79229048e-02]\n",
      " [ -2.08161975e-04]\n",
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      " [ -1.41886402e-05]\n",
      " [  4.42389613e-02]\n",
      " [  3.86102544e-05]\n",
      " [  4.53539604e-02]\n",
      " [  8.76938437e-05]\n",
      " [  4.62671255e-02]\n",
      " [  1.43804833e-01]\n",
      " [ -3.62234333e-04]\n",
      " [  3.01062902e-04]\n",
      " [  8.39338306e-05]\n",
      " [  9.39266872e-03]\n",
      " [ -1.22932468e-05]\n",
      " [ -1.41611923e-04]\n",
      " [  1.44552681e-04]\n",
      " [  1.21961821e-04]\n",
      " [ -7.65862331e-05]\n",
      " [ -1.79262514e-04]\n",
      " [  2.06710015e-02]\n",
      " [  4.66321554e-05]\n",
      " [ -2.57939783e-05]\n",
      " [  1.60091842e-04]\n",
      " [ -8.07063112e-05]\n",
      " [  9.13297554e-06]\n",
      " [  5.48370343e-02]\n",
      " [  3.24619910e-02]\n",
      " [  1.60847325e-04]\n",
      " [  1.13383261e-05]\n",
      " [ -3.95672513e-04]\n",
      " [  3.29464286e-04]\n",
      " [ -3.77798080e-05]\n",
      " [  3.93392032e-02]\n",
      " [  5.20148100e-02]\n",
      " [  3.16889047e-05]\n",
      " [  4.54072452e-03]\n",
      " [ -3.04536462e-05]\n",
      " [  1.39318626e-01]\n",
      " [  7.60329224e-02]\n",
      " [  7.22182697e-02]\n",
      " [  9.43535519e-02]\n",
      " [ -2.30679690e-04]\n",
      " [ -1.85457661e-04]\n",
      " [  1.18719713e-04]\n",
      " [  3.08319060e-02]\n",
      " [  1.43520593e-04]\n",
      " [ -9.97844305e-05]\n",
      " [  1.66653905e-05]\n",
      " [ -2.09864738e-04]\n",
      " [ -3.82696731e-04]\n",
      " [  4.03270014e-03]\n",
      " [  8.28805605e-05]\n",
      " [  6.41359269e-02]\n",
      " [  1.74458906e-05]\n",
      " [  9.46741959e-06]\n",
      " [ -1.89997373e-05]\n",
      " [  9.79575469e-05]\n",
      " [  6.58988556e-05]\n",
      " [  3.52054586e-05]\n",
      " [  2.05125907e-04]\n",
      " [ -2.39729763e-04]\n",
      " [  5.55231233e-05]\n",
      " [  2.03797270e-05]\n",
      " [  6.20184723e-02]\n",
      " [  7.91422935e-05]\n",
      " [  3.44136439e-05]\n",
      " [  2.54897588e-05]\n",
      " [  1.11570195e-01]\n",
      " [  1.08909070e-04]\n",
      " [ -9.49058159e-06]\n",
      " [ -2.15025073e-04]\n",
      " [ -5.07589837e-06]\n",
      " [  4.70289510e-03]\n",
      " [  4.70871126e-02]\n",
      " [  4.59199938e-02]\n",
      " [ -2.57590361e-04]\n",
      " [ -3.35318101e-06]\n",
      " [  9.91894829e-02]\n",
      " [  2.88409878e-04]\n",
      " [ -6.09233640e-05]\n",
      " [  2.53006084e-02]\n",
      " [  4.25089284e-05]\n",
      " [  1.83025323e-04]\n",
      " [  7.88539157e-02]\n",
      " [  7.71716597e-05]\n",
      " [  3.61932700e-02]\n",
      " [  1.63637699e-02]\n",
      " [  8.80137897e-05]\n",
      " [  1.12609468e-04]\n",
      " [  3.79540743e-05]\n",
      " [ -4.31177273e-04]\n",
      " [  4.03439246e-02]\n",
      " [ -1.32141322e-04]\n",
      " [  1.00450383e-04]\n",
      " [  1.16686527e-05]\n",
      " [  2.28541079e-04]\n",
      " [  6.85682773e-02]]\n",
      "neg_decisionScore [[-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/ocsvm_rbf.csv\n",
      "Finished sklearn_OCSVM_RBF\n",
      "Gradient error: 1.5985874849e-05\n",
      "Inside sklearn_OCSVM_explicit_sigmoid.....\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gradient error: 1.5985874849e-05\n",
      "Finished sklearn _OCSVM_explicit\n",
      "Gradient error: 0.0110220280039\n",
      "pos_decisionScore [ 0.03539363  0.05847492  0.06309595  0.07007601  0.07088476  0.0741485\n",
      "  0.07501264  0.0767361   0.0790702   0.07990209  0.07997712  0.08010522\n",
      "  0.08355512  0.08611933  0.0886148   0.09116796  0.09160691  0.09208664\n",
      "  0.09255522  0.09382479  0.09500583  0.09590591  0.09630584  0.09672674\n",
      "  0.09763799  0.0979971   0.09896071  0.09958601  0.10265068  0.10284655\n",
      "  0.10291695  0.10476028  0.10478715  0.10494049  0.10568057  0.10690399\n",
      "  0.108758    0.10879699  0.10910509  0.1093033   0.10931203  0.11103294\n",
      "  0.11116     0.11122364  0.11138882  0.11159305  0.11192332  0.11199174\n",
      "  0.11246761  0.11283838  0.11312938  0.11394594  0.11417646  0.11506952\n",
      "  0.11524127  0.11574252  0.11596706  0.11651744  0.11661752  0.11707809\n",
      "  0.11745721  0.11754872  0.11758166  0.11785988  0.11853826  0.11882315\n",
      "  0.11898642  0.11956142  0.11980986  0.119927    0.12014607  0.12067129\n",
      "  0.1208807   0.12171867  0.1218602   0.12205924  0.12282885  0.12326435\n",
      "  0.12346744  0.12374895  0.12384469  0.12433132  0.12465515  0.12467625\n",
      "  0.12483742  0.12534399  0.12546701  0.12549843  0.12594501  0.12619281\n",
      "  0.12660714  0.12664602  0.12692864  0.12697446  0.12719581  0.12790751\n",
      "  0.12824079  0.1283692   0.12863759  0.12875988  0.12982113  0.12986047\n",
      "  0.13120965  0.13169888  0.1319817   0.1329111   0.13329217  0.1335891\n",
      "  0.13411841  0.13473723  0.13552108  0.13575256  0.13635436  0.13692282\n",
      "  0.1371495   0.13722999  0.13726079  0.13742222  0.13773489  0.13853623\n",
      "  0.13859548  0.1386313   0.13872375  0.1388231   0.13908092  0.13933526\n",
      "  0.13957099  0.14132747  0.14183801  0.14250424  0.14320252  0.14340058\n",
      "  0.14351119  0.14371675  0.14410971  0.1446965   0.14513032  0.1452276\n",
      "  0.14536401  0.14563888  0.14591051  0.1461505   0.14806339  0.14999268\n",
      "  0.15049519  0.15052004  0.15092845  0.15112971  0.15152469  0.15168405\n",
      "  0.15291542  0.15323616  0.15325527  0.15388801  0.15511415  0.15539415\n",
      "  0.15632863  0.15742191  0.15749518  0.15802066  0.15814485  0.16017631\n",
      "  0.16079152  0.16225078  0.16285895  0.16323832  0.16362642  0.16470543\n",
      "  0.1654217   0.16594576  0.16692686  0.16733827  0.16787591  0.1678885\n",
      "  0.16830868  0.16870006  0.16894846  0.17071846  0.17521609  0.17621495\n",
      "  0.17739658  0.17818382  0.17851915  0.18302629  0.18606222  0.18628229\n",
      "  0.18944381  0.19747608  0.19846963  0.2130547 ]\n",
      "neg_decisionScore [-2.36253389 -2.31638034 -2.28500762 -2.24585674 -2.23324005 -2.22832763\n",
      " -2.22307031 -2.19228891 -2.17584661 -2.1684279 ]\n",
      "Gradient error: 0.000103458890478\n",
      "pos_decisionScore [ 0.01913     0.02045857  0.02112315  0.02131551  0.02212498  0.02260342\n",
      "  0.02303463  0.02308471  0.02312885  0.02317851  0.02321534  0.02371483\n",
      "  0.02388499  0.02405565  0.02470036  0.02492632  0.02500835  0.02518229\n",
      "  0.02532861  0.02545469  0.0255718   0.02568382  0.02569763  0.02582369\n",
      "  0.02584552  0.02585033  0.02585169  0.02593492  0.0259424   0.02599864\n",
      "  0.02600374  0.02606775  0.02607369  0.02617585  0.02618081  0.02638781\n",
      "  0.02641925  0.02643043  0.02649481  0.02658997  0.02661878  0.02681462\n",
      "  0.02682488  0.02685913  0.0268647   0.0268742   0.02688254  0.02693038\n",
      "  0.02699425  0.02708467  0.02709177  0.02714403  0.02720316  0.02720978\n",
      "  0.02722085  0.02736773  0.02752856  0.02758931  0.02759689  0.02765515\n",
      "  0.02769552  0.02779985  0.02781645  0.02791276  0.02795788  0.02795973\n",
      "  0.02803188  0.02809183  0.02810277  0.02810474  0.02812316  0.02815197\n",
      "  0.02819183  0.02820731  0.02822556  0.02827237  0.02827993  0.02835764\n",
      "  0.02836565  0.0284328   0.02851613  0.02854414  0.028571    0.02867526\n",
      "  0.02869791  0.02875821  0.02875988  0.02877784  0.02882745  0.0288812\n",
      "  0.0288896   0.02890103  0.0289191   0.02893391  0.02895045  0.02901952\n",
      "  0.02902449  0.02905629  0.02910615  0.02914256  0.02916181  0.0291769\n",
      "  0.02920227  0.02921043  0.02922604  0.02928209  0.02930982  0.02936148\n",
      "  0.02946845  0.02953839  0.02957022  0.02957154  0.02960005  0.02964036\n",
      "  0.0297057   0.02972877  0.02975075  0.02975869  0.02980266  0.02982089\n",
      "  0.02988826  0.02990201  0.03003948  0.03006311  0.03013393  0.0302219\n",
      "  0.0302535   0.03026304  0.03048592  0.03052831  0.03053745  0.03055483\n",
      "  0.03072203  0.0307499   0.03076271  0.03077586  0.03082623  0.0308301\n",
      "  0.03088108  0.03099763  0.03102918  0.03104097  0.03109013  0.03110021\n",
      "  0.03117222  0.03121265  0.03121566  0.03122258  0.0312968   0.03153878\n",
      "  0.03162678  0.03169618  0.03190245  0.03197674  0.03205344  0.03205995\n",
      "  0.03221857  0.03241893  0.03246619  0.03246786  0.03256693  0.03289637\n",
      "  0.03293088  0.03302443  0.03303134  0.03318909  0.03321229  0.03339076\n",
      "  0.03350689  0.03354561  0.03380937  0.03398842  0.03409537  0.03443924\n",
      "  0.03444985  0.0344596   0.03453519  0.03454907  0.03466122  0.0346698\n",
      "  0.03468369  0.03502367  0.03517929  0.0356412   0.03653815  0.03663482\n",
      "  0.03670793  0.03822001  0.03853188  0.03876958]\n",
      "neg_decisionScore [-0.02158724 -0.00746278 -0.00739457 -0.00286949 -0.00065344  0.00025026\n",
      "  0.00225473  0.00248895  0.00424218  0.00456727]\n",
      "Finished One Class NN Explicit\n",
      "Epoch = 1, r = 0.000000\n",
      "Epoch = 2, r = 0.000000\n",
      "Epoch = 3, r = 0.000001\n",
      "Epoch = 4, r = 0.000002\n",
      "Epoch = 5, r = 0.000003\n",
      "Epoch = 6, r = 0.000005\n",
      "Epoch = 7, r = 0.000009\n",
      "Epoch = 8, r = 0.000016\n",
      "Epoch = 9, r = 0.000029\n",
      "Epoch = 10, r = 0.000053\n",
      "Epoch = 11, r = 0.000094\n",
      "Epoch = 12, r = 0.000168\n",
      "Epoch = 13, r = 0.000300\n",
      "Epoch = 14, r = 0.000536\n",
      "Epoch = 15, r = 0.000958\n",
      "Epoch = 16, r = 0.001711\n",
      "Epoch = 17, r = 0.003058\n",
      "Epoch = 18, r = 0.005466\n",
      "Epoch = 19, r = 0.009768\n",
      "Epoch = 20, r = 0.017456\n",
      "Epoch = 21, r = 0.031196\n",
      "Epoch = 22, r = 0.055752\n",
      "Epoch = 23, r = 0.099636\n",
      "Epoch = 24, r = 0.178062\n",
      "Epoch = 25, r = 0.318219\n",
      "Epoch = 26, r = 0.568698\n",
      "Epoch = 27, r = 1.016337\n",
      "Epoch = 28, r = 1.816325\n",
      "Epoch = 29, r = 3.246008\n",
      "Epoch = 30, r = 5.801037\n",
      "Epoch = 31, r = 10.367205\n",
      "Epoch = 32, r = 18.527538\n",
      "Epoch = 33, r = 33.111112\n",
      "Epoch = 34, r = 59.173853\n",
      "Epoch = 35, r = 105.751352\n",
      "Epoch = 36, r = 188.991406\n",
      "Epoch = 37, r = 337.752155\n",
      "Epoch = 38, r = 603.606926\n",
      "Epoch = 39, r = 1078.723994\n",
      "Epoch = 40, r = 1927.819863\n",
      "Epoch = 41, r = 3445.264551\n",
      "Epoch = 42, r = 6157.135078\n",
      "Epoch = 43, r = 11003.600547\n",
      "Epoch = 44, r = 19664.861719\n",
      "Epoch = 45, r = 35143.662031\n",
      "Epoch = 46, r = 62806.284687\n",
      "Epoch = 47, r = 112242.976562\n",
      "Epoch = 48, r = 200592.790000\n",
      "Epoch = 49, r = 358485.391250\n",
      "Epoch = 50, r = 640659.872500\n",
      "Epoch = 51, r = 1144942.415000\n",
      "Epoch = 52, r = 2046160.900000\n",
      "Epoch = 53, r = 3656755.210000\n",
      "Epoch = 54, r = 6535096.740000\n",
      "Epoch = 55, r = 11679066.080000\n",
      "Epoch = 56, r = 20872007.680000\n",
      "Epoch = 57, r = 37300987.360000\n",
      "Epoch = 58, r = 66661706.080000\n",
      "Epoch = 59, r = 119133130.880000\n",
      "Epoch = 60, r = 212906376.320000\n",
      "Epoch = 61, r = 380491366.400000\n",
      "Epoch = 62, r = 679987415.040000\n",
      "Epoch = 63, r = 1215225815.040000\n",
      "Epoch = 64, r = 2171766251.520000\n",
      "Epoch = 65, r = 3881228369.920000\n",
      "Epoch = 66, r = 6936260034.559999\n",
      "Epoch = 67, r = 12395996487.680000\n",
      "Epoch = 68, r = 22153255649.279999\n",
      "Epoch = 69, r = 39590745866.240005\n",
      "Epoch = 70, r = 70753802321.919998\n",
      "Epoch = 71, r = 126446230241.279999\n",
      "Epoch = 72, r = 225975823892.480011\n",
      "Epoch = 73, r = 403848185774.080017\n",
      "Epoch = 74, r = 721729035960.320068\n",
      "Epoch = 75, r = 1289823694356.479980\n",
      "Epoch = 76, r = 2305082387333.120117\n",
      "Epoch = 77, r = 4119481381027.839844\n",
      "Epoch = 78, r = 7362047545180.160156\n",
      "Epoch = 79, r = 13156936308490.240234\n",
      "Epoch = 80, r = 23513153132298.242188\n",
      "Epoch = 81, r = 42021054222172.156250\n",
      "Epoch = 82, r = 75097081726894.078125\n",
      "Epoch = 83, r = 134208248872960.000000\n",
      "Epoch = 84, r = 239847561777643.500000\n",
      "Epoch = 85, r = 428638748142469.125000\n",
      "Epoch = 86, r = 766033098461675.500000\n",
      "Epoch = 87, r = 1369000725153054.500000\n",
      "Epoch = 88, r = 2446582024429896.000000\n",
      "Epoch = 89, r = 4372359621671649.000000\n",
      "Epoch = 90, r = 7813974060496322.000000\n",
      "Epoch = 91, r = 13964586830046168.000000\n",
      "Epoch = 92, r = 24956529556471152.000000\n",
      "Epoch = 93, r = 44600559088938512.000000\n",
      "Epoch = 94, r = 79706991952438224.000000\n",
      "Epoch = 95, r = 142446750648961600.000000\n",
      "Epoch = 96, r = 254570815721811488.000000\n",
      "Epoch = 97, r = 454951130219235264.000000\n",
      "Epoch = 98, r = 813056743000820992.000000\n",
      "Epoch = 99, r = 1453037843347375616.000000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch = 100, r = 2596767760599503360.000000\n",
      "Session Closed!!!\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/OC-NN_Linear.csv\n",
      "Finished tf_OneClass_NN_linear\n",
      "Epoch = 1, r = 0.019993\n",
      "Epoch = 2, r = 0.040268\n",
      "Epoch = 3, r = 0.061386\n",
      "Epoch = 4, r = 0.083925\n",
      "Epoch = 5, r = 0.108487\n",
      "Epoch = 6, r = 0.135699\n",
      "Epoch = 7, r = 0.166201\n",
      "Epoch = 8, r = 0.200620\n",
      "Epoch = 9, r = 0.239521\n",
      "Epoch = 10, r = 0.283342\n",
      "Epoch = 11, r = 0.332331\n",
      "Epoch = 12, r = 0.386487\n",
      "Epoch = 13, r = 0.445551\n",
      "Epoch = 14, r = 0.509038\n",
      "Epoch = 15, r = 0.576314\n",
      "Epoch = 16, r = 0.646692\n",
      "Epoch = 17, r = 0.719511\n",
      "Epoch = 18, r = 0.794192\n",
      "Epoch = 19, r = 0.870262\n",
      "Epoch = 20, r = 0.947352\n",
      "Epoch = 21, r = 1.025181\n",
      "Epoch = 22, r = 1.103547\n",
      "Epoch = 23, r = 1.182300\n",
      "Epoch = 24, r = 1.261333\n",
      "Epoch = 25, r = 1.340569\n",
      "Epoch = 26, r = 1.419952\n",
      "Epoch = 27, r = 1.499442\n",
      "Epoch = 28, r = 1.579011\n",
      "Epoch = 29, r = 1.658636\n",
      "Epoch = 30, r = 1.738303\n",
      "Epoch = 31, r = 1.817999\n",
      "Epoch = 32, r = 1.897717\n",
      "Epoch = 33, r = 1.977448\n",
      "Epoch = 34, r = 2.057190\n",
      "Epoch = 35, r = 2.136936\n",
      "Epoch = 36, r = 2.216686\n",
      "Epoch = 37, r = 2.296436\n",
      "Epoch = 38, r = 2.376185\n",
      "Epoch = 39, r = 2.455932\n",
      "Epoch = 40, r = 2.535675\n",
      "Epoch = 41, r = 2.615413\n",
      "Epoch = 42, r = 2.695146\n",
      "Epoch = 43, r = 2.774873\n",
      "Epoch = 44, r = 2.854594\n",
      "Epoch = 45, r = 2.934309\n",
      "Epoch = 46, r = 3.014016\n",
      "Epoch = 47, r = 3.093717\n",
      "Epoch = 48, r = 3.173411\n",
      "Epoch = 49, r = 3.253096\n",
      "Epoch = 50, r = 3.332775\n",
      "Epoch = 51, r = 3.412446\n",
      "Epoch = 52, r = 3.492109\n",
      "Epoch = 53, r = 3.571764\n",
      "Epoch = 54, r = 3.651412\n",
      "Epoch = 55, r = 3.731051\n",
      "Epoch = 56, r = 3.810683\n",
      "Epoch = 57, r = 3.890307\n",
      "Epoch = 58, r = 3.969923\n",
      "Epoch = 59, r = 4.049530\n",
      "Epoch = 60, r = 4.129130\n",
      "Epoch = 61, r = 4.208722\n",
      "Epoch = 62, r = 4.288306\n",
      "Epoch = 63, r = 4.367882\n",
      "Epoch = 64, r = 4.447449\n",
      "Epoch = 65, r = 4.527009\n",
      "Epoch = 66, r = 4.606561\n",
      "Epoch = 67, r = 4.686104\n",
      "Epoch = 68, r = 4.765639\n",
      "Epoch = 69, r = 4.845167\n",
      "Epoch = 70, r = 4.924686\n",
      "Epoch = 71, r = 5.004197\n",
      "Epoch = 72, r = 5.083701\n",
      "Epoch = 73, r = 5.163196\n",
      "Epoch = 74, r = 5.242682\n",
      "Epoch = 75, r = 5.322162\n",
      "Epoch = 76, r = 5.401633\n",
      "Epoch = 77, r = 5.481096\n",
      "Epoch = 78, r = 5.560550\n",
      "Epoch = 79, r = 5.639998\n",
      "Epoch = 80, r = 5.719436\n",
      "Epoch = 81, r = 5.798867\n",
      "Epoch = 82, r = 5.878290\n",
      "Epoch = 83, r = 5.957705\n",
      "Epoch = 84, r = 6.037111\n",
      "Epoch = 85, r = 6.116510\n",
      "Epoch = 86, r = 6.195900\n",
      "Epoch = 87, r = 6.275283\n",
      "Epoch = 88, r = 6.354658\n",
      "Epoch = 89, r = 6.434024\n",
      "Epoch = 90, r = 6.513383\n",
      "Epoch = 91, r = 6.592734\n",
      "Epoch = 92, r = 6.672076\n",
      "Epoch = 93, r = 6.751411\n",
      "Epoch = 94, r = 6.830737\n",
      "Epoch = 95, r = 6.910055\n",
      "Epoch = 96, r = 6.989366\n",
      "Epoch = 97, r = 7.068669\n",
      "Epoch = 98, r = 7.147963\n",
      "Epoch = 99, r = 7.227250\n",
      "Epoch = 100, r = 7.306529\n",
      "Session Closed!!!\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/OC-NN_Sigmoid.csv\n",
      "Finished tf_OneClass_NN_sigmoid\n",
      "Epoch = 1, r = 0.000000\n",
      "Epoch = 2, r = 0.000000\n",
      "Epoch = 3, r = 0.000001\n",
      "Epoch = 4, r = 0.000002\n",
      "Epoch = 5, r = 0.000003\n",
      "Epoch = 6, r = 0.000005\n",
      "Epoch = 7, r = 0.000009\n",
      "Epoch = 8, r = 0.000016\n",
      "Epoch = 9, r = 0.000029\n",
      "Epoch = 10, r = 0.000053\n",
      "Epoch = 11, r = 0.000094\n",
      "Epoch = 12, r = 0.000168\n",
      "Epoch = 13, r = 0.000300\n",
      "Epoch = 14, r = 0.000536\n",
      "Epoch = 15, r = 0.000958\n",
      "Epoch = 16, r = 0.001711\n",
      "Epoch = 17, r = 0.003058\n",
      "Epoch = 18, r = 0.005466\n",
      "Epoch = 19, r = 0.009768\n",
      "Epoch = 20, r = 0.017456\n",
      "Epoch = 21, r = 0.031196\n",
      "Epoch = 22, r = 0.055752\n",
      "Epoch = 23, r = 0.099636\n",
      "Epoch = 24, r = 0.178062\n",
      "Epoch = 25, r = 0.318219\n",
      "Epoch = 26, r = 0.568698\n",
      "Epoch = 27, r = 1.016337\n",
      "Epoch = 28, r = 1.816325\n",
      "Epoch = 29, r = 3.246008\n",
      "Epoch = 30, r = 5.801037\n",
      "Epoch = 31, r = 10.367205\n",
      "Epoch = 32, r = 18.527538\n",
      "Epoch = 33, r = 33.111112\n",
      "Epoch = 34, r = 59.173853\n",
      "Epoch = 35, r = 105.751352\n",
      "Epoch = 36, r = 188.991406\n",
      "Epoch = 37, r = 337.752155\n",
      "Epoch = 38, r = 603.606926\n",
      "Epoch = 39, r = 1078.723994\n",
      "Epoch = 40, r = 1927.819863\n",
      "Epoch = 41, r = 3445.264551\n",
      "Epoch = 42, r = 6157.135078\n",
      "Epoch = 43, r = 11003.600547\n",
      "Epoch = 44, r = 19664.861719\n",
      "Epoch = 45, r = 35143.662031\n",
      "Epoch = 46, r = 62806.284687\n",
      "Epoch = 47, r = 112242.976562\n",
      "Epoch = 48, r = 200592.790000\n",
      "Epoch = 49, r = 358485.391250\n",
      "Epoch = 50, r = 640659.872500\n",
      "Epoch = 51, r = 1144942.415000\n",
      "Epoch = 52, r = 2046160.900000\n",
      "Epoch = 53, r = 3656755.210000\n",
      "Epoch = 54, r = 6535096.740000\n",
      "Epoch = 55, r = 11679066.080000\n",
      "Epoch = 56, r = 20872007.680000\n",
      "Epoch = 57, r = 37300987.360000\n",
      "Epoch = 58, r = 66661706.080000\n",
      "Epoch = 59, r = 119133130.880000\n",
      "Epoch = 60, r = 212906376.320000\n",
      "Epoch = 61, r = 380491366.400000\n",
      "Epoch = 62, r = 679987415.040000\n",
      "Epoch = 63, r = 1215225815.040000\n",
      "Epoch = 64, r = 2171766251.520000\n",
      "Epoch = 65, r = 3881228369.920000\n",
      "Epoch = 66, r = 6936260034.559999\n",
      "Epoch = 67, r = 12395996487.680000\n",
      "Epoch = 68, r = 22153255649.279999\n",
      "Epoch = 69, r = 39590745866.240005\n",
      "Epoch = 70, r = 70753802321.919998\n",
      "Epoch = 71, r = 126446230241.279999\n",
      "Epoch = 72, r = 225975823892.480011\n",
      "Epoch = 73, r = 403848185774.080017\n",
      "Epoch = 74, r = 721729035960.320068\n",
      "Epoch = 75, r = 1289823694356.479980\n",
      "Epoch = 76, r = 2305082387333.120117\n",
      "Epoch = 77, r = 4119481381027.839844\n",
      "Epoch = 78, r = 7362047545180.160156\n",
      "Epoch = 79, r = 13156936308490.240234\n",
      "Epoch = 80, r = 23513153132298.242188\n",
      "Epoch = 81, r = 42021054222172.156250\n",
      "Epoch = 82, r = 75097081726894.078125\n",
      "Epoch = 83, r = 134208248872960.000000\n",
      "Epoch = 84, r = 239847561777643.500000\n",
      "Epoch = 85, r = 428638748142469.125000\n",
      "Epoch = 86, r = 766033098461675.500000\n",
      "Epoch = 87, r = 1369000725153054.500000\n",
      "Epoch = 88, r = 2446582024429896.000000\n",
      "Epoch = 89, r = 4372359621671649.000000\n",
      "Epoch = 90, r = 7813974060496322.000000\n",
      "Epoch = 91, r = 13964586830046168.000000\n",
      "Epoch = 92, r = 24956529556471152.000000\n",
      "Epoch = 93, r = 44600559088938512.000000\n",
      "Epoch = 94, r = 79706991952438224.000000\n",
      "Epoch = 95, r = 142446750648961600.000000\n",
      "Epoch = 96, r = 254570815721811488.000000\n",
      "Epoch = 97, r = 454951130219235264.000000\n",
      "Epoch = 98, r = 813056743000820992.000000\n",
      "Epoch = 99, r = 1453037843347375616.000000\n",
      "Epoch = 100, r = 2596767760599503360.000000\n",
      "Session Closed!!!\n",
      "Finished tf_OneClass_NN_sigmoid\n",
      "sklearn__RPCA_OCSVM======== (190, 512)\n",
      "iteration: 1, error: 118101.253233\n",
      "iteration: 1, error: 1290.74800624\n",
      "(190, 512)\n",
      "(10, 512)\n",
      "Finished rpca_ocsvm\n",
      "sklearn_IsolationForest==== (190, 512)\n",
      "Finished isolation-forest\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "CAE_OCSVM_Linear+ [[  1.76256079e+03]\n",
      " [  2.83467748e+03]\n",
      " [  1.64937911e+02]\n",
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      " [  1.48907874e+03]\n",
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      " [  1.91454585e+03]\n",
      " [  3.00328418e+03]\n",
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      " [  2.83047715e+03]\n",
      " [  1.90839497e+02]\n",
      " [  3.16319898e+03]\n",
      " [  3.73388957e+03]\n",
      " [ -9.53968003e+02]\n",
      " [  8.86082332e+02]\n",
      " [  3.10208634e+03]\n",
      " [  3.77292640e+03]\n",
      " [  9.20947143e+02]\n",
      " [ -1.51226175e+03]\n",
      " [  3.25356506e+03]\n",
      " [  3.91149205e+03]\n",
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      " [  1.86331407e-03]\n",
      " [  2.97178531e+03]\n",
      " [  3.43633779e+03]\n",
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      " [  1.12394864e+03]\n",
      " [  3.22837536e+03]\n",
      " [  1.60229341e+03]\n",
      " [  3.32541981e+03]\n",
      " [  2.34527608e+03]\n",
      " [  1.52016891e+03]\n",
      " [  7.48606887e+02]\n",
      " [  2.68831486e+03]\n",
      " [  1.17185274e+03]\n",
      " [ -9.33106816e+02]\n",
      " [ -5.44858600e+02]\n",
      " [  2.04280178e+03]\n",
      " [  8.49647443e+02]\n",
      " [  1.51431565e+03]]\n",
      "CAE_OCSVM_Linear- [[-165978.47043319]\n",
      " [-169462.26068472]\n",
      " [-170043.57926523]\n",
      " [-163808.19437854]\n",
      " [-167927.1155115 ]\n",
      " [-171297.77796887]\n",
      " [-172178.78422793]\n",
      " [-162882.43820225]\n",
      " [-170990.79762526]\n",
      " [-167496.99973796]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/CAE_OCSVM_Linear.csv\n",
      "Finished cae_ocsvm-linear\n",
      "Saving Hidden layer weights w1 for cifar.. data\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "CAE_OCSVM_RBF+ [[ -3.85563390e-04]\n",
      " [  3.24948895e-05]\n",
      " [  5.39291547e-03]\n",
      " [  5.79229048e-02]\n",
      " [ -2.08161975e-04]\n",
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      " [ -4.63346390e-04]\n",
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      " [ -3.95672513e-04]\n",
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      " [  2.05125907e-04]\n",
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      " [  2.03797270e-05]\n",
      " [  6.20184723e-02]\n",
      " [  7.91422935e-05]\n",
      " [  3.44136439e-05]\n",
      " [  2.54897588e-05]\n",
      " [  1.11570195e-01]\n",
      " [  1.08909070e-04]\n",
      " [ -9.49058159e-06]\n",
      " [ -2.15025073e-04]\n",
      " [ -5.07589837e-06]\n",
      " [  4.70289510e-03]\n",
      " [  4.70871126e-02]\n",
      " [  4.59199938e-02]\n",
      " [ -2.57590361e-04]\n",
      " [ -3.35318101e-06]\n",
      " [  9.91894829e-02]\n",
      " [  2.88409878e-04]\n",
      " [ -6.09233640e-05]\n",
      " [  2.53006084e-02]\n",
      " [  4.25089284e-05]\n",
      " [  1.83025323e-04]\n",
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      " [  7.71716597e-05]\n",
      " [  3.61932700e-02]\n",
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      " [  8.80137897e-05]\n",
      " [  1.12609468e-04]\n",
      " [  3.79540743e-05]\n",
      " [ -4.31177273e-04]\n",
      " [  4.03439246e-02]\n",
      " [ -1.32141322e-04]\n",
      " [  1.00450383e-04]\n",
      " [  1.16686527e-05]\n",
      " [  2.28541079e-04]\n",
      " [  6.85682773e-02]]\n",
      "CAE_OCSVM_RBF- [[-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/CAE_OCSVM_RBF.csv\n",
      "Finished cae_ocsvm-sigmoid\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "CAE_OCSVM_Linear+ [[  1.76256079e+03]\n",
      " [  2.83467748e+03]\n",
      " [  1.64937911e+02]\n",
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      " [  7.48606887e+02]\n",
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      " [ -9.33106816e+02]\n",
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      " [  2.04280178e+03]\n",
      " [  8.49647443e+02]\n",
      " [  1.51431565e+03]]\n",
      "CAE_OCSVM_Linear- [[-165978.47043319]\n",
      " [-169462.26068472]\n",
      " [-170043.57926523]\n",
      " [-163808.19437854]\n",
      " [-167927.1155115 ]\n",
      " [-171297.77796887]\n",
      " [-172178.78422793]\n",
      " [-162882.43820225]\n",
      " [-170990.79762526]\n",
      " [-167496.99973796]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/CAE_OCSVM_Linear.csv\n",
      "Finished ae_ocsvm-linear\n",
      "Saving Hidden layer weights w1 for cifar.. data\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "CAE_OCSVM_RBF+ [[ -3.85563390e-04]\n",
      " [  3.24948895e-05]\n",
      " [  5.39291547e-03]\n",
      " [  5.79229048e-02]\n",
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      " [ -1.85457661e-04]\n",
      " [  1.18719713e-04]\n",
      " [  3.08319060e-02]\n",
      " [  1.43520593e-04]\n",
      " [ -9.97844305e-05]\n",
      " [  1.66653905e-05]\n",
      " [ -2.09864738e-04]\n",
      " [ -3.82696731e-04]\n",
      " [  4.03270014e-03]\n",
      " [  8.28805605e-05]\n",
      " [  6.41359269e-02]\n",
      " [  1.74458906e-05]\n",
      " [  9.46741959e-06]\n",
      " [ -1.89997373e-05]\n",
      " [  9.79575469e-05]\n",
      " [  6.58988556e-05]\n",
      " [  3.52054586e-05]\n",
      " [  2.05125907e-04]\n",
      " [ -2.39729763e-04]\n",
      " [  5.55231233e-05]\n",
      " [  2.03797270e-05]\n",
      " [  6.20184723e-02]\n",
      " [  7.91422935e-05]\n",
      " [  3.44136439e-05]\n",
      " [  2.54897588e-05]\n",
      " [  1.11570195e-01]\n",
      " [  1.08909070e-04]\n",
      " [ -9.49058159e-06]\n",
      " [ -2.15025073e-04]\n",
      " [ -5.07589837e-06]\n",
      " [  4.70289510e-03]\n",
      " [  4.70871126e-02]\n",
      " [  4.59199938e-02]\n",
      " [ -2.57590361e-04]\n",
      " [ -3.35318101e-06]\n",
      " [  9.91894829e-02]\n",
      " [  2.88409878e-04]\n",
      " [ -6.09233640e-05]\n",
      " [  2.53006084e-02]\n",
      " [  4.25089284e-05]\n",
      " [  1.83025323e-04]\n",
      " [  7.88539157e-02]\n",
      " [  7.71716597e-05]\n",
      " [  3.61932700e-02]\n",
      " [  1.63637699e-02]\n",
      " [  8.80137897e-05]\n",
      " [  1.12609468e-04]\n",
      " [  3.79540743e-05]\n",
      " [ -4.31177273e-04]\n",
      " [  4.03439246e-02]\n",
      " [ -1.32141322e-04]\n",
      " [  1.00450383e-04]\n",
      " [  1.16686527e-05]\n",
      " [  2.28541079e-04]\n",
      " [  6.85682773e-02]]\n",
      "CAE_OCSVM_RBF- [[-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]\n",
      " [-1.2319297]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/CAE_OCSVM_RBF.csv\n",
      "Finished ae_ocsvm-sigmoid\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 0.9608\n",
      "Average precision-recall score: 0.9950\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 0.6079\n",
      "ROC  score: 0.9500\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 1.0000\n",
      "AUPRC: Scores: Synthetic\n",
      "(ocsvm_lin,ocsvm_rbf,ocnn_lin,ocnn_sig,rpca_ocsvm,isolation_forest): 1.0 1.0 1.0 1.0 1.0 1.0\n",
      "AUROC: Scores: Synthetic\n",
      "(ocsvm_lin,ocsvm_rbf,ocnn_lin,ocnn_sig,rpca_ocsvm,isolation_forest): 1.0 1.0 1.0 1.0 1.0 1.0\n",
      "P_10_score: Synthetic\n",
      "(ocsvm_lin,ocsvm_rbf,ocnn_lin,ocnn_sig,rpca_ocsvm,isolation_forest): 1.0 1.0 1.0 1.0 1.0 1.0\n"
     ]
    },
    {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c2b75d890>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 874,
       "width": 882
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from load_datasets import prepare_synthetic_data,prepare_cifar_data_for_cae_ocsvm\n",
    "\n",
    "## Synthetic Data \n",
    "\n",
    "from load_datasets import prepare_synthetic_data,prepare_usps_mlfetch,prepare_fake_news_data,prepare_cifar_10_data,prepare_spam_vs_ham_data,prepare_cifar_10_data_for_conv_net\n",
    "[syn_train,syn_train_label,syn_test,syn_test_label]= prepare_synthetic_data()\n",
    "\n",
    "\n",
    "##Dimensions \n",
    "print (\"[INFO] SYNTHETIC DATA : (Normal, Anomalies) dimensions: \",syn_train.shape,syn_test.shape)\n",
    "\n",
    "# ##  Models implemented \n",
    "from synthetic_models import func_getDecision_Scores_synthetic\n",
    "from metrics import au_prc,compute_au_prc,compute_au_roc,compute_prec_at_10\n",
    "# ### PLotting functions for the methods implemented\n",
    "from plot_syn_scores import plot_decision_scores_Synthetic\n",
    "\n",
    "# ## Loop over the datasets , method , activations and collect the results in respective dataframes\n",
    "dataset = \"SYNTHETIC\"\n",
    "\n",
    "# # Call the function to compute the decision scores\n",
    "df_syn_scores = func_getDecision_Scores_synthetic(syn_train,syn_train,syn_test,syn_train_label,autoencoder=\"no\")\n",
    "            \n",
    "# # Plotting decision\n",
    "plot_decision_scores_Synthetic(dataset,df_syn_scores)\n",
    "\n",
    "## Obtain the Metrics AUPRC, AUROC, P@10\n",
    "y_true_pos = np.ones(190)\n",
    "y_true_neg = np.zeros(10)\n",
    "y_true = np.concatenate((y_true_pos,y_true_neg))\n",
    "\n",
    "au_prc_scores = compute_au_prc(y_true,df_syn_scores)\n",
    "au_roc_scores = compute_au_roc(y_true,df_syn_scores)\n",
    "P_10_score =    compute_prec_at_10(y_true,df_syn_scores)\n",
    "\n",
    "\n",
    "print \"AUPRC: Scores: Synthetic\"\n",
    "print \"(ocsvm_lin,ocsvm_rbf,ocnn_lin,ocnn_sig,rpca_ocsvm,isolation_forest):\",au_prc_scores[0],au_prc_scores[1],au_prc_scores[2],au_prc_scores[3],au_prc_scores[4],au_prc_scores[5]\n",
    "print \"AUROC: Scores: Synthetic\"\n",
    "print \"(ocsvm_lin,ocsvm_rbf,ocnn_lin,ocnn_sig,rpca_ocsvm,isolation_forest):\",au_roc_scores[0],au_roc_scores[1],au_roc_scores[2],au_roc_scores[3],au_roc_scores[4],au_roc_scores[5]\n",
    "print \"P_10_score: Synthetic\"\n",
    "print \"(ocsvm_lin,ocsvm_rbf,ocnn_lin,ocnn_sig,rpca_ocsvm,isolation_forest):\",P_10_score[0],P_10_score[1],P_10_score[2],P_10_score[3],P_10_score[4],P_10_score[5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Experiments : USPS Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Couldn't import dot_parser, loading of dot files will not be possible.\n",
      "[INFO] loading network...\n",
      "base_model.output (?, 32)\n",
      "base_model.input (?, 16, 16, 1)\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_1 (InputLayer)         (None, 16, 16, 1)         0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 256)               0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 128)               32896     \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 32)                4128      \n",
      "_________________________________________________________________\n",
      "dense_output1 (Dense)        (None, 128)               4224      \n",
      "_________________________________________________________________\n",
      "output_activation1 (Activati (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_output2 (Dense)        (None, 1)                 129       \n",
      "_________________________________________________________________\n",
      "output_activation2 (Activati (None, 1)                 0         \n",
      "=================================================================\n",
      "Total params: 41,377\n",
      "Trainable params: 41,377\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n",
      "Length of model layers... 8\n",
      "X_train.shape (220, 256)\n",
      "X_test.shape (11, 256)\n",
      "Image Shape (16, 16, 1)\n",
      "(220, 32)\n",
      "(11, 32)\n",
      "[INFO] loading network...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/raghav/anaconda/lib/python2.7/site-packages/keras/models.py:252: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.\n",
      "  warnings.warn('No training configuration found in save file: '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "base_model.output (?, 32)\n",
      "base_model.input (?, 16, 16, 1)\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_1 (InputLayer)         (None, 16, 16, 1)         0         \n",
      "_________________________________________________________________\n",
      "conv2d_1 (Conv2D)            (None, 16, 16, 32)        320       \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 8, 8, 32)          0         \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 8, 8, 64)          18496     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2 (None, 4, 4, 64)          0         \n",
      "_________________________________________________________________\n",
      "conv2d_3 (Conv2D)            (None, 4, 4, 128)         73856     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2 (None, 2, 2, 128)         0         \n",
      "_________________________________________________________________\n",
      "conv2d_4 (Conv2D)            (None, 2, 2, 256)         295168    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_4 (MaxPooling2 (None, 1, 1, 256)         0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 256)               0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 32)                8224      \n",
      "_________________________________________________________________\n",
      "dense_output1 (Dense)        (None, 128)               4224      \n",
      "_________________________________________________________________\n",
      "output_activation1 (Activati (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_output2 (Dense)        (None, 1)                 129       \n",
      "_________________________________________________________________\n",
      "output_activation2 (Activati (None, 1)                 0         \n",
      "=================================================================\n",
      "Total params: 400,417\n",
      "Trainable params: 400,417\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n",
      "Length of model layers... 15\n",
      "X_train.shape (220, 256)\n",
      "X_test.shape (11, 256)\n",
      "Image Shape (16, 16, 1)\n",
      "('USPS      : (Normal, Anomalies) dimensions: ', (220, 256), (11, 256))\n",
      "/Users/raghav/Documents/Uni/oc-nn-bak"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/raghav/Documents/Uni/oc-nn-bak/models/tf_OneClass_NN_model.py:13: UserWarning: \n",
      "This call to matplotlib.use() has no effect because the backend has already\n",
      "been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n",
      "or matplotlib.backends is imported for the first time.\n",
      "\n",
      "The backend was *originally* set to 'module://ipykernel.pylab.backend_inline' by the following code:\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/runpy.py\", line 174, in _run_module_as_main\n",
      "    \"__main__\", fname, loader, pkg_name)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/runpy.py\", line 72, in _run_code\n",
      "    exec code in run_globals\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel_launcher.py\", line 16, in <module>\n",
      "    app.launch_new_instance()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/traitlets/config/application.py\", line 596, in launch_instance\n",
      "    app.start()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/kernelapp.py\", line 477, in start\n",
      "    ioloop.IOLoop.instance().start()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/zmq/eventloop/ioloop.py\", line 162, in start\n",
      "    super(ZMQIOLoop, self).start()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/tornado/ioloop.py\", line 888, in start\n",
      "    handler_func(fd_obj, events)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/tornado/stack_context.py\", line 277, in null_wrapper\n",
      "    return fn(*args, **kwargs)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py\", line 440, in _handle_events\n",
      "    self._handle_recv()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py\", line 472, in _handle_recv\n",
      "    self._run_callback(callback, msg)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py\", line 414, in _run_callback\n",
      "    callback(*args, **kwargs)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/tornado/stack_context.py\", line 277, in null_wrapper\n",
      "    return fn(*args, **kwargs)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/kernelbase.py\", line 283, in dispatcher\n",
      "    return self.dispatch_shell(stream, msg)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/kernelbase.py\", line 235, in dispatch_shell\n",
      "    handler(stream, idents, msg)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/kernelbase.py\", line 399, in execute_request\n",
      "    user_expressions, allow_stdin)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/ipkernel.py\", line 196, in do_execute\n",
      "    res = shell.run_cell(code, store_history=store_history, silent=silent)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/zmqshell.py\", line 533, in run_cell\n",
      "    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2718, in run_cell\n",
      "    interactivity=interactivity, compiler=compiler, result=result)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2822, in run_ast_nodes\n",
      "    if self.run_code(code, result):\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2882, in run_code\n",
      "    exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "  File \"<ipython-input-1-dd96d49a00ef>\", line 1, in <module>\n",
      "    get_ipython().magic(u'matplotlib inline')\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2160, in magic\n",
      "    return self.run_line_magic(magic_name, magic_arg_s)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2081, in run_line_magic\n",
      "    result = fn(*args,**kwargs)\n",
      "  File \"<decorator-gen-105>\", line 2, in matplotlib\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/magic.py\", line 188, in <lambda>\n",
      "    call = lambda f, *a, **k: f(*a, **k)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/magics/pylab.py\", line 100, in matplotlib\n",
      "    gui, backend = self.shell.enable_matplotlib(args.gui)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2950, in enable_matplotlib\n",
      "    pt.activate_matplotlib(backend)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/pylabtools.py\", line 308, in activate_matplotlib\n",
      "    matplotlib.pyplot.switch_backend(backend)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/matplotlib/pyplot.py\", line 229, in switch_backend\n",
      "    matplotlib.use(newbackend, warn=False, force=True)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/matplotlib/__init__.py\", line 1305, in use\n",
      "    reload(sys.modules['matplotlib.backends'])\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/matplotlib/backends/__init__.py\", line 14, in <module>\n",
      "    line for line in traceback.format_stack()\n",
      "\n",
      "\n",
      "  matplotlib.use(\"Agg\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "[[  3.88116341e+01]\n",
      " [  1.91717770e+01]\n",
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      " [  3.93162884e+01]\n",
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      " [ -3.99911310e-04]\n",
      " [  5.43199336e+01]\n",
      " [  3.94720759e+01]\n",
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      " [ -1.17246871e+01]\n",
      " [  4.45799268e+01]\n",
      " [  5.40488927e+01]\n",
      " [  2.87288501e+01]\n",
      " [  4.02283297e+01]]\n",
      "[[-451.67084361]\n",
      " [-702.08052308]\n",
      " [-257.36748672]\n",
      " [-322.62195751]\n",
      " [-526.73545044]\n",
      " [-343.48341378]\n",
      " [-371.65464042]\n",
      " [-373.51113315]\n",
      " [-464.90065639]\n",
      " [-447.74631895]\n",
      " [-554.87798529]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/ocsvm_linear.csv\n",
      "pos_decisionScore [[  2.64696085e-01]\n",
      " [  1.50963658e-01]\n",
      " [  2.52965916e-01]\n",
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      " [  2.94588191e-01]\n",
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      " [  3.44125680e-01]\n",
      " [  1.82846518e-01]\n",
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      " [  3.50068340e-01]\n",
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      " [  3.36489095e-01]\n",
      " [  6.53852343e-02]\n",
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      " [  3.30261117e-01]\n",
      " [  2.71081861e-01]\n",
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      " [  1.66397059e-01]\n",
      " [  3.46591504e-01]\n",
      " [  3.10376050e-01]\n",
      " [  1.60186176e-01]\n",
      " [  3.53231457e-04]\n",
      " [  3.50827840e-01]\n",
      " [  2.15065152e-01]\n",
      " [  3.65604835e-01]\n",
      " [  1.05194340e-01]\n",
      " [  2.72340021e-01]\n",
      " [  3.46751230e-01]\n",
      " [  3.22905705e-01]\n",
      " [  1.39993149e-02]\n",
      " [  1.80948172e-01]\n",
      " [  3.65283889e-01]\n",
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      " [  3.33715846e-01]\n",
      " [  1.91018359e-01]\n",
      " [  2.14823251e-01]\n",
      " [  3.52075620e-01]\n",
      " [  3.51146959e-01]\n",
      " [  2.95982904e-01]\n",
      " [  1.65932630e-01]\n",
      " [  3.38853573e-01]\n",
      " [  3.79246168e-01]\n",
      " [  8.26185808e-03]\n",
      " [  3.97354702e-01]\n",
      " [  3.55808906e-01]\n",
      " [  4.83597529e-02]\n",
      " [  3.53087159e-01]\n",
      " [  3.23171525e-01]\n",
      " [  3.16552410e-01]\n",
      " [  3.44508807e-01]\n",
      " [  3.14935456e-01]\n",
      " [  2.44810284e-01]\n",
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      " [  2.52770246e-01]\n",
      " [  2.04440140e-01]\n",
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      " [  3.34379755e-01]\n",
      " [  3.30809506e-01]\n",
      " [  3.23961897e-01]\n",
      " [  1.40328603e-01]\n",
      " [  2.65643772e-01]\n",
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      " [  2.82287456e-01]\n",
      " [ -2.17578504e-02]\n",
      " [  2.58332073e-01]\n",
      " [  3.56948576e-01]\n",
      " [  1.82183163e-01]\n",
      " [  2.81474539e-01]\n",
      " [  1.86997405e-01]\n",
      " [  1.49911103e-01]\n",
      " [  3.62039392e-01]\n",
      " [  3.13772171e-01]\n",
      " [  3.65324182e-01]\n",
      " [  6.40532066e-02]\n",
      " [  6.47753373e-02]\n",
      " [  2.81076818e-01]\n",
      " [ -4.57485691e-01]\n",
      " [  3.16427198e-01]\n",
      " [ -2.36186236e-01]\n",
      " [  4.05775911e-01]\n",
      " [  4.10974052e-01]\n",
      " [  3.84039895e-01]\n",
      " [  6.83089113e-02]\n",
      " [  3.32113597e-01]\n",
      " [  3.53267664e-04]\n",
      " [  3.34305709e-01]\n",
      " [  1.45154856e-01]\n",
      " [  2.51522847e-01]\n",
      " [  9.55973971e-02]\n",
      " [ -3.20583246e-01]\n",
      " [  3.44104026e-01]\n",
      " [  2.27640000e-01]\n",
      " [  3.49671416e-01]\n",
      " [  2.83026081e-01]\n",
      " [  2.11419037e-01]\n",
      " [  3.70663566e-01]\n",
      " [  3.50162824e-01]\n",
      " [  3.39141544e-01]\n",
      " [  3.84306191e-01]\n",
      " [ -4.14370946e-04]\n",
      " [  2.75929128e-01]\n",
      " [  1.69428437e-01]\n",
      " [  3.73705358e-01]\n",
      " [  2.76429593e-01]\n",
      " [  4.13677662e-01]\n",
      " [ -1.89808542e-02]\n",
      " [  3.60297967e-01]\n",
      " [  1.19747726e-02]\n",
      " [  3.93833082e-01]\n",
      " [  1.63134994e-01]\n",
      " [  1.40323495e-01]\n",
      " [  1.55423596e-01]\n",
      " [  2.66363373e-01]\n",
      " [  3.67199350e-01]\n",
      " [  2.41487213e-01]\n",
      " [  2.11282764e-01]\n",
      " [  3.85540284e-01]\n",
      " [  3.38312810e-01]\n",
      " [  1.78206646e-01]\n",
      " [  3.59503143e-01]\n",
      " [  3.46110779e-01]\n",
      " [  9.05210531e-02]\n",
      " [  2.66200041e-01]\n",
      " [  3.63567973e-01]\n",
      " [  3.51863254e-01]\n",
      " [  2.52994230e-01]\n",
      " [  3.39965720e-01]\n",
      " [  3.36509884e-01]\n",
      " [  1.15646600e-01]\n",
      " [  3.50821615e-01]\n",
      " [  3.24084823e-01]\n",
      " [  1.88538949e-01]\n",
      " [  1.08648816e-01]\n",
      " [  3.72977626e-01]\n",
      " [  4.11205787e-02]\n",
      " [  2.92772339e-01]\n",
      " [  2.86228014e-01]\n",
      " [  3.68584350e-01]\n",
      " [ -1.57712701e-01]\n",
      " [  2.08664183e-01]\n",
      " [  3.80381705e-01]\n",
      " [  6.75273957e-02]\n",
      " [  2.49832484e-01]\n",
      " [  2.87641827e-01]\n",
      " [  2.90206288e-01]\n",
      " [  3.96714281e-01]\n",
      " [  3.00183966e-01]\n",
      " [  3.79846535e-01]\n",
      " [  1.30607385e-01]\n",
      " [  1.90030971e-01]\n",
      " [  1.43134420e-01]\n",
      " [  4.03144096e-01]\n",
      " [  3.67807872e-01]\n",
      " [  4.04786104e-01]\n",
      " [  1.79362635e-01]\n",
      " [  3.20395090e-01]\n",
      " [  2.80303571e-01]\n",
      " [  3.13068809e-01]\n",
      " [  2.61461182e-01]\n",
      " [  3.63279992e-01]\n",
      " [  3.51363280e-01]\n",
      " [  2.03549062e-01]\n",
      " [  3.52533641e-01]\n",
      " [  2.24140086e-01]\n",
      " [  1.27838611e-01]\n",
      " [  3.45983200e-01]\n",
      " [  1.74691956e-01]\n",
      " [  1.94403412e-02]\n",
      " [  1.00934375e-01]\n",
      " [  6.88758168e-02]\n",
      " [  3.75540072e-01]\n",
      " [  2.30600559e-01]\n",
      " [  3.06617830e-01]\n",
      " [  8.79857694e-02]\n",
      " [  3.10042016e-01]\n",
      " [  4.25730771e-01]\n",
      " [  1.79466249e-02]\n",
      " [  3.01090617e-01]\n",
      " [  2.09335150e-01]\n",
      " [ -2.92375230e-04]\n",
      " [ -1.43153977e-02]\n",
      " [  2.73126727e-01]\n",
      " [  3.76975909e-01]\n",
      " [  8.40884106e-02]\n",
      " [  2.66019533e-01]]\n",
      "neg_decisionScore [[-1.71786587]\n",
      " [-2.6733017 ]\n",
      " [-1.00113335]\n",
      " [-1.26022721]\n",
      " [-1.97808852]\n",
      " [-1.33158597]\n",
      " [-1.49531989]\n",
      " [-1.45047057]\n",
      " [-1.77369584]\n",
      " [-1.72573859]\n",
      " [-2.27540198]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/ocsvm_rbf.csv\n",
      "Finished sklearn_OCSVM_linear\n",
      "Epoch = 1, r = -0.000000\n",
      "Epoch = 2, r = -0.000000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch = 3, r = -0.000000\n",
      "Epoch = 4, r = -0.000000\n",
      "Epoch = 5, r = 0.000000\n",
      "Epoch = 6, r = 0.000000\n",
      "Epoch = 7, r = 0.000000\n",
      "Epoch = 8, r = 0.000000\n",
      "Epoch = 9, r = 0.000000\n",
      "Epoch = 10, r = 0.000000\n",
      "Epoch = 11, r = 0.000000\n",
      "Epoch = 12, r = 0.000000\n",
      "Epoch = 13, r = 0.000000\n",
      "Epoch = 14, r = 0.000000\n",
      "Epoch = 15, r = 0.000000\n",
      "Epoch = 16, r = 0.000000\n",
      "Epoch = 17, r = 0.000000\n",
      "Epoch = 18, r = 0.000000\n",
      "Epoch = 19, r = 0.000000\n",
      "Epoch = 20, r = 0.000000\n",
      "Epoch = 21, r = 0.000000\n",
      "Epoch = 22, r = 0.000000\n",
      "Epoch = 23, r = 0.000000\n",
      "Epoch = 24, r = 0.000000\n",
      "Epoch = 25, r = 0.000000\n",
      "Epoch = 26, r = 0.000000\n",
      "Epoch = 27, r = 0.000000\n",
      "Epoch = 28, r = 0.000000\n",
      "Epoch = 29, r = 0.000000\n",
      "Epoch = 30, r = 0.000000\n",
      "Epoch = 31, r = 0.000000\n",
      "Epoch = 32, r = 0.000000\n",
      "Epoch = 33, r = 0.000000\n",
      "Epoch = 34, r = 0.000000\n",
      "Epoch = 35, r = 0.000000\n",
      "Epoch = 36, r = 0.000000\n",
      "Epoch = 37, r = 0.000000\n",
      "Epoch = 38, r = 0.000000\n",
      "Epoch = 39, r = 0.000000\n",
      "Epoch = 40, r = 0.000000\n",
      "Epoch = 41, r = 0.000000\n",
      "Epoch = 42, r = 0.000000\n",
      "Epoch = 43, r = 0.000000\n",
      "Epoch = 44, r = 0.000000\n",
      "Epoch = 45, r = 0.000000\n",
      "Epoch = 46, r = 0.000000\n",
      "Epoch = 47, r = 0.000000\n",
      "Epoch = 48, r = 0.000000\n",
      "Epoch = 49, r = 0.000000\n",
      "Epoch = 50, r = 0.000000\n",
      "Epoch = 51, r = 0.000000\n",
      "Epoch = 52, r = 0.000001\n",
      "Epoch = 53, r = 0.000001\n",
      "Epoch = 54, r = 0.000001\n",
      "Epoch = 55, r = 0.000001\n",
      "Epoch = 56, r = 0.000001\n",
      "Epoch = 57, r = 0.000001\n",
      "Epoch = 58, r = 0.000001\n",
      "Epoch = 59, r = 0.000001\n",
      "Epoch = 60, r = 0.000001\n",
      "Epoch = 61, r = 0.000001\n",
      "Epoch = 62, r = 0.000001\n",
      "Epoch = 63, r = 0.000001\n",
      "Epoch = 64, r = 0.000001\n",
      "Epoch = 65, r = 0.000001\n",
      "Epoch = 66, r = 0.000001\n",
      "Epoch = 67, r = 0.000001\n",
      "Epoch = 68, r = 0.000002\n",
      "Epoch = 69, r = 0.000002\n",
      "Epoch = 70, r = 0.000002\n",
      "Epoch = 71, r = 0.000002\n",
      "Epoch = 72, r = 0.000002\n",
      "Epoch = 73, r = 0.000002\n",
      "Epoch = 74, r = 0.000002\n",
      "Epoch = 75, r = 0.000003\n",
      "Epoch = 76, r = 0.000003\n",
      "Epoch = 77, r = 0.000003\n",
      "Epoch = 78, r = 0.000003\n",
      "Epoch = 79, r = 0.000003\n",
      "Epoch = 80, r = 0.000004\n",
      "Epoch = 81, r = 0.000004\n",
      "Epoch = 82, r = 0.000004\n",
      "Epoch = 83, r = 0.000004\n",
      "Epoch = 84, r = 0.000005\n",
      "Epoch = 85, r = 0.000005\n",
      "Epoch = 86, r = 0.000005\n",
      "Epoch = 87, r = 0.000006\n",
      "Epoch = 88, r = 0.000006\n",
      "Epoch = 89, r = 0.000007\n",
      "Epoch = 90, r = 0.000007\n",
      "Epoch = 91, r = 0.000008\n",
      "Epoch = 92, r = 0.000008\n",
      "Epoch = 93, r = 0.000009\n",
      "Epoch = 94, r = 0.000009\n",
      "Epoch = 95, r = 0.000010\n",
      "Epoch = 96, r = 0.000011\n",
      "Epoch = 97, r = 0.000011\n",
      "Epoch = 98, r = 0.000012\n",
      "Epoch = 99, r = 0.000013\n",
      "Epoch = 100, r = 0.000014\n",
      "Session Closed!!!\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/OC-NN_Linear.csv\n",
      "Finished tf_OneClass_NN_linear\n",
      "Epoch = 1, r = 0.019997\n",
      "Epoch = 2, r = 0.039998\n",
      "Epoch = 3, r = 0.060006\n",
      "Epoch = 4, r = 0.080026\n",
      "Epoch = 5, r = 0.100064\n",
      "Epoch = 6, r = 0.120127\n",
      "Epoch = 7, r = 0.140218\n",
      "Epoch = 8, r = 0.160346\n",
      "Epoch = 9, r = 0.180514\n",
      "Epoch = 10, r = 0.200729\n",
      "Epoch = 11, r = 0.220997\n",
      "Epoch = 12, r = 0.241324\n",
      "Epoch = 13, r = 0.261715\n",
      "Epoch = 14, r = 0.282176\n",
      "Epoch = 15, r = 0.302713\n",
      "Epoch = 16, r = 0.323332\n",
      "Epoch = 17, r = 0.344039\n",
      "Epoch = 18, r = 0.364840\n",
      "Epoch = 19, r = 0.385740\n",
      "Epoch = 20, r = 0.406746\n",
      "Epoch = 21, r = 0.427864\n",
      "Epoch = 22, r = 0.449099\n",
      "Epoch = 23, r = 0.470458\n",
      "Epoch = 24, r = 0.491947\n",
      "Epoch = 25, r = 0.513572\n",
      "Epoch = 26, r = 0.535338\n",
      "Epoch = 27, r = 0.557253\n",
      "Epoch = 28, r = 0.579321\n",
      "Epoch = 29, r = 0.601551\n",
      "Epoch = 30, r = 0.623947\n",
      "Epoch = 31, r = 0.646516\n",
      "Epoch = 32, r = 0.669264\n",
      "Epoch = 33, r = 0.692198\n",
      "Epoch = 34, r = 0.715324\n",
      "Epoch = 35, r = 0.738648\n",
      "Epoch = 36, r = 0.762178\n",
      "Epoch = 37, r = 0.785918\n",
      "Epoch = 38, r = 0.809877\n",
      "Epoch = 39, r = 0.834059\n",
      "Epoch = 40, r = 0.858473\n",
      "Epoch = 41, r = 0.883124\n",
      "Epoch = 42, r = 0.908019\n",
      "Epoch = 43, r = 0.933165\n",
      "Epoch = 44, r = 0.958568\n",
      "Epoch = 45, r = 0.984235\n",
      "Epoch = 46, r = 1.010173\n",
      "Epoch = 47, r = 1.036388\n",
      "Epoch = 48, r = 1.062887\n",
      "Epoch = 49, r = 1.089677\n",
      "Epoch = 50, r = 1.116765\n",
      "Epoch = 51, r = 1.144157\n",
      "Epoch = 52, r = 1.171860\n",
      "Epoch = 53, r = 1.199881\n",
      "Epoch = 54, r = 1.228226\n",
      "Epoch = 55, r = 1.256902\n",
      "Epoch = 56, r = 1.285917\n",
      "Epoch = 57, r = 1.315276\n",
      "Epoch = 58, r = 1.344986\n",
      "Epoch = 59, r = 1.375054\n",
      "Epoch = 60, r = 1.405487\n",
      "Epoch = 61, r = 1.436290\n",
      "Epoch = 62, r = 1.467472\n",
      "Epoch = 63, r = 1.499037\n",
      "Epoch = 64, r = 1.530993\n",
      "Epoch = 65, r = 1.563345\n",
      "Epoch = 66, r = 1.596101\n",
      "Epoch = 67, r = 1.629265\n",
      "Epoch = 68, r = 1.662845\n",
      "Epoch = 69, r = 1.696847\n",
      "Epoch = 70, r = 1.731275\n",
      "Epoch = 71, r = 1.766137\n",
      "Epoch = 72, r = 1.801437\n",
      "Epoch = 73, r = 1.837182\n",
      "Epoch = 74, r = 1.873376\n",
      "Epoch = 75, r = 1.910026\n",
      "Epoch = 76, r = 1.947135\n",
      "Epoch = 77, r = 1.984710\n",
      "Epoch = 78, r = 2.022755\n",
      "Epoch = 79, r = 2.061275\n",
      "Epoch = 80, r = 2.100274\n",
      "Epoch = 81, r = 2.139756\n",
      "Epoch = 82, r = 2.179726\n",
      "Epoch = 83, r = 2.220188\n",
      "Epoch = 84, r = 2.261145\n",
      "Epoch = 85, r = 2.302601\n",
      "Epoch = 86, r = 2.344559\n",
      "Epoch = 87, r = 2.387022\n",
      "Epoch = 88, r = 2.429994\n",
      "Epoch = 89, r = 2.473476\n",
      "Epoch = 90, r = 2.517470\n",
      "Epoch = 91, r = 2.561980\n",
      "Epoch = 92, r = 2.607007\n",
      "Epoch = 93, r = 2.652552\n",
      "Epoch = 94, r = 2.698617\n",
      "Epoch = 95, r = 2.745203\n",
      "Epoch = 96, r = 2.792311\n",
      "Epoch = 97, r = 2.839940\n",
      "Epoch = 98, r = 2.888092\n",
      "Epoch = 99, r = 2.936766\n",
      "Epoch = 100, r = 2.985962\n",
      "Session Closed!!!\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/OC-NN_Sigmoid.csv\n",
      "Finished tf_OneClass_NN_sigmoid\n",
      "Epoch = 1, r = -0.000000\n",
      "Epoch = 2, r = -0.000000\n",
      "Epoch = 3, r = -0.000000\n",
      "Epoch = 4, r = -0.000000\n",
      "Epoch = 5, r = 0.000000\n",
      "Epoch = 6, r = 0.000000\n",
      "Epoch = 7, r = 0.000000\n",
      "Epoch = 8, r = 0.000000\n",
      "Epoch = 9, r = 0.000000\n",
      "Epoch = 10, r = 0.000000\n",
      "Epoch = 11, r = 0.000000\n",
      "Epoch = 12, r = 0.000000\n",
      "Epoch = 13, r = 0.000000\n",
      "Epoch = 14, r = 0.000000\n",
      "Epoch = 15, r = 0.000000\n",
      "Epoch = 16, r = 0.000000\n",
      "Epoch = 17, r = 0.000000\n",
      "Epoch = 18, r = 0.000000\n",
      "Epoch = 19, r = 0.000000\n",
      "Epoch = 20, r = 0.000000\n",
      "Epoch = 21, r = 0.000000\n",
      "Epoch = 22, r = 0.000000\n",
      "Epoch = 23, r = 0.000000\n",
      "Epoch = 24, r = 0.000000\n",
      "Epoch = 25, r = 0.000000\n",
      "Epoch = 26, r = 0.000000\n",
      "Epoch = 27, r = 0.000000\n",
      "Epoch = 28, r = 0.000000\n",
      "Epoch = 29, r = 0.000000\n",
      "Epoch = 30, r = 0.000000\n",
      "Epoch = 31, r = 0.000000\n",
      "Epoch = 32, r = 0.000000\n",
      "Epoch = 33, r = 0.000000\n",
      "Epoch = 34, r = 0.000000\n",
      "Epoch = 35, r = 0.000000\n",
      "Epoch = 36, r = 0.000000\n",
      "Epoch = 37, r = 0.000000\n",
      "Epoch = 38, r = 0.000000\n",
      "Epoch = 39, r = 0.000000\n",
      "Epoch = 40, r = 0.000000\n",
      "Epoch = 41, r = 0.000000\n",
      "Epoch = 42, r = 0.000000\n",
      "Epoch = 43, r = 0.000000\n",
      "Epoch = 44, r = 0.000000\n",
      "Epoch = 45, r = 0.000000\n",
      "Epoch = 46, r = 0.000000\n",
      "Epoch = 47, r = 0.000000\n",
      "Epoch = 48, r = 0.000000\n",
      "Epoch = 49, r = 0.000000\n",
      "Epoch = 50, r = 0.000000\n",
      "Epoch = 51, r = 0.000000\n",
      "Epoch = 52, r = 0.000001\n",
      "Epoch = 53, r = 0.000001\n",
      "Epoch = 54, r = 0.000001\n",
      "Epoch = 55, r = 0.000001\n",
      "Epoch = 56, r = 0.000001\n",
      "Epoch = 57, r = 0.000001\n",
      "Epoch = 58, r = 0.000001\n",
      "Epoch = 59, r = 0.000001\n",
      "Epoch = 60, r = 0.000001\n",
      "Epoch = 61, r = 0.000001\n",
      "Epoch = 62, r = 0.000001\n",
      "Epoch = 63, r = 0.000001\n",
      "Epoch = 64, r = 0.000001\n",
      "Epoch = 65, r = 0.000001\n",
      "Epoch = 66, r = 0.000001\n",
      "Epoch = 67, r = 0.000001\n",
      "Epoch = 68, r = 0.000002\n",
      "Epoch = 69, r = 0.000002\n",
      "Epoch = 70, r = 0.000002\n",
      "Epoch = 71, r = 0.000002\n",
      "Epoch = 72, r = 0.000002\n",
      "Epoch = 73, r = 0.000002\n",
      "Epoch = 74, r = 0.000002\n",
      "Epoch = 75, r = 0.000003\n",
      "Epoch = 76, r = 0.000003\n",
      "Epoch = 77, r = 0.000003\n",
      "Epoch = 78, r = 0.000003\n",
      "Epoch = 79, r = 0.000003\n",
      "Epoch = 80, r = 0.000004\n",
      "Epoch = 81, r = 0.000004\n",
      "Epoch = 82, r = 0.000004\n",
      "Epoch = 83, r = 0.000004\n",
      "Epoch = 84, r = 0.000005\n",
      "Epoch = 85, r = 0.000005\n",
      "Epoch = 86, r = 0.000005\n",
      "Epoch = 87, r = 0.000006\n",
      "Epoch = 88, r = 0.000006\n",
      "Epoch = 89, r = 0.000007\n",
      "Epoch = 90, r = 0.000007\n",
      "Epoch = 91, r = 0.000008\n",
      "Epoch = 92, r = 0.000008\n",
      "Epoch = 93, r = 0.000009\n",
      "Epoch = 94, r = 0.000009\n",
      "Epoch = 95, r = 0.000010\n",
      "Epoch = 96, r = 0.000011\n",
      "Epoch = 97, r = 0.000011\n",
      "Epoch = 98, r = 0.000012\n",
      "Epoch = 99, r = 0.000013\n",
      "Epoch = 100, r = 0.000014\n",
      "Session Closed!!!\n",
      "Finished tf_OneClass_NN_sigmoid\n",
      "sklearn__RPCA_OCSVM======== (220, 256)\n",
      "iteration: 1, error: 132.920624861\n",
      "iteration: 1, error: 33.8086361375\n",
      "(220, 256)\n",
      "(11, 256)\n",
      "Finished rpca_ocsvm\n",
      "sklearn_IsolationForest==== (220, 256)\n",
      "Finished isolation-forest\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "[[  3.42891239e-04]\n",
      " [  3.95621814e-04]\n",
      " [  3.81034932e-04]\n",
      " [  4.57735740e-04]\n",
      " [  2.16584729e-04]\n",
      " [  1.88402983e-04]\n",
      " [  3.18688910e-04]\n",
      " [  2.31059024e-04]\n",
      " [ -1.38529349e-12]\n",
      " [  1.86916417e-04]\n",
      " [  2.68596220e-04]\n",
      " [  2.79104912e-04]\n",
      " [  7.07798946e-05]\n",
      " [  1.29302915e-04]\n",
      " [  5.79402486e-06]\n",
      " [ -1.17843473e-05]\n",
      " [  2.44960332e-04]\n",
      " [ -2.61867810e-04]\n",
      " [  2.12724871e-04]\n",
      " [  2.81005878e-05]\n",
      " [  4.90249624e-04]\n",
      " [  2.32449554e-04]\n",
      " [  2.91213277e-04]\n",
      " [  1.63479852e-04]\n",
      " [  2.40790171e-04]\n",
      " [  3.04364414e-04]\n",
      " [  2.89129396e-04]\n",
      " [ -4.96865760e-05]\n",
      " [ -2.59975558e-04]\n",
      " [  4.48325996e-04]\n",
      " [  2.92995266e-04]\n",
      " [  2.19173097e-04]\n",
      " [  7.00918504e-05]\n",
      " [  2.24798891e-04]\n",
      " [  2.65185545e-04]\n",
      " [  4.54767498e-04]\n",
      " [  3.56588682e-04]\n",
      " [  1.55736665e-04]\n",
      " [  1.49632614e-05]\n",
      " [  1.65468380e-04]\n",
      " [  2.34489836e-04]\n",
      " [  3.99272041e-04]\n",
      " [  1.50397630e-04]\n",
      " [  2.12502375e-04]\n",
      " [ -3.98526971e-05]\n",
      " [  1.49296556e-05]\n",
      " [  5.09343233e-04]\n",
      " [ -2.12615352e-05]\n",
      " [  2.90193703e-04]\n",
      " [  2.72932997e-04]\n",
      " [ -9.88298192e-05]\n",
      " [ -2.03669921e-04]\n",
      " [  2.65856298e-04]\n",
      " [  2.02639999e-04]\n",
      " [  4.28454314e-04]\n",
      " [  3.90153289e-04]\n",
      " [  2.48691638e-04]\n",
      " [  4.56602710e-05]\n",
      " [  3.18641503e-05]\n",
      " [ -7.04497739e-05]\n",
      " [  3.45434290e-04]\n",
      " [  1.32083252e-04]\n",
      " [  3.00708625e-04]\n",
      " [  4.61761556e-04]\n",
      " [  4.39419825e-04]\n",
      " [  8.47689526e-05]\n",
      " [  2.20047070e-04]\n",
      " [  3.05748219e-04]\n",
      " [ -1.82909311e-04]\n",
      " [  4.18780905e-04]\n",
      " [  6.26429047e-06]\n",
      " [  2.60386373e-04]\n",
      " [  2.17086870e-04]\n",
      " [  4.68101866e-04]\n",
      " [  6.16624978e-05]\n",
      " [  1.61453499e-04]\n",
      " [ -3.12364156e-04]\n",
      " [  4.32036732e-05]\n",
      " [ -3.22926540e-05]\n",
      " [ -2.56960587e-04]\n",
      " [  2.76347948e-04]\n",
      " [  2.82903707e-04]\n",
      " [  3.08449161e-04]\n",
      " [  2.74912466e-04]\n",
      " [  3.03273502e-04]\n",
      " [  3.70850772e-04]\n",
      " [ -8.29932956e-05]\n",
      " [  3.80319075e-04]\n",
      " [  4.24472673e-04]\n",
      " [  2.65155220e-04]\n",
      " [  2.23358665e-04]\n",
      " [ -2.45571312e-05]\n",
      " [  1.57731377e-04]\n",
      " [  4.66270003e-04]\n",
      " [ -4.08906545e-05]\n",
      " [ -1.50787288e-04]\n",
      " [  2.13187266e-04]\n",
      " [ -8.67649789e-05]\n",
      " [  7.01434145e-05]\n",
      " [  3.76677887e-04]\n",
      " [  1.67159324e-04]\n",
      " [  4.18581565e-04]\n",
      " [  2.57369179e-04]\n",
      " [  3.33545504e-04]\n",
      " [  4.75643479e-04]\n",
      " [  2.25692590e-04]\n",
      " [  3.15640624e-04]\n",
      " [  1.77805917e-04]\n",
      " [ -2.21690153e-04]\n",
      " [ -8.98593587e-05]\n",
      " [  3.46413374e-04]\n",
      " [ -2.12340058e-05]\n",
      " [ -8.14397261e-06]\n",
      " [  6.20647063e-04]\n",
      " [  1.85848222e-04]\n",
      " [  1.74695481e-04]\n",
      " [  1.83629482e-05]\n",
      " [ -2.35680203e-04]\n",
      " [  2.95399302e-04]\n",
      " [ -2.33582101e-04]\n",
      " [ -3.95603538e-05]\n",
      " [  4.73489304e-04]\n",
      " [  3.80554840e-04]\n",
      " [ -1.64877534e-04]\n",
      " [ -3.02033501e-04]\n",
      " [ -2.24373597e-05]\n",
      " [  3.91221569e-04]\n",
      " [  2.64900690e-04]\n",
      " [  1.03187745e-04]\n",
      " [  4.04409873e-04]\n",
      " [  2.30166201e-04]\n",
      " [  1.95571636e-04]\n",
      " [  2.58771923e-04]\n",
      " [  1.26160689e-04]\n",
      " [ -3.22458985e-04]\n",
      " [  1.83440809e-04]\n",
      " [  4.09112580e-04]\n",
      " [  2.28299812e-04]\n",
      " [  3.24820255e-04]\n",
      " [  1.12228043e-04]\n",
      " [  5.33806498e-04]\n",
      " [  2.06096782e-04]\n",
      " [  5.46941592e-04]\n",
      " [  3.33147770e-05]\n",
      " [  4.46472681e-04]\n",
      " [  3.92922315e-04]\n",
      " [  4.26325905e-04]\n",
      " [ -9.64047688e-05]\n",
      " [  1.11675613e-04]\n",
      " [  7.18209893e-05]\n",
      " [  4.16909705e-04]\n",
      " [  7.43843894e-05]\n",
      " [  2.11193688e-04]\n",
      " [ -1.76137280e-04]\n",
      " [ -6.37499946e-05]\n",
      " [  8.78311476e-05]\n",
      " [  4.37553759e-04]\n",
      " [  3.00784831e-04]\n",
      " [  2.13580677e-05]\n",
      " [  7.71112358e-05]\n",
      " [  3.70743182e-04]\n",
      " [  2.88227897e-04]\n",
      " [  2.96402574e-04]\n",
      " [  4.86298810e-04]\n",
      " [ -4.05921934e-05]\n",
      " [ -6.39583146e-05]\n",
      " [ -2.23135439e-04]\n",
      " [ -2.55867892e-04]\n",
      " [  2.15971267e-04]\n",
      " [ -2.82778112e-04]\n",
      " [  3.38709574e-04]\n",
      " [  3.29807767e-04]\n",
      " [  2.07398984e-04]\n",
      " [  6.11060318e-04]\n",
      " [  4.16848191e-04]\n",
      " [  1.08722549e-04]\n",
      " [ -1.78147265e-04]\n",
      " [  3.53375739e-04]\n",
      " [  3.40326394e-04]\n",
      " [  2.25743120e-04]\n",
      " [  8.43255258e-05]\n",
      " [  3.02204137e-04]\n",
      " [  1.54190736e-04]\n",
      " [ -2.55153034e-04]\n",
      " [ -1.98148163e-04]\n",
      " [  4.74109853e-04]\n",
      " [  1.03440812e-04]\n",
      " [  2.01523129e-04]\n",
      " [  1.16506808e-04]\n",
      " [  3.91246589e-04]\n",
      " [  2.95316430e-04]\n",
      " [  3.04196486e-04]\n",
      " [  2.61718377e-04]\n",
      " [  1.68191486e-04]\n",
      " [  8.84872404e-05]\n",
      " [  1.78911732e-04]\n",
      " [  3.97831823e-04]\n",
      " [  2.57811568e-04]\n",
      " [  4.03175995e-04]\n",
      " [ -1.77521066e-04]\n",
      " [  2.34555147e-04]\n",
      " [  4.48547136e-04]\n",
      " [  5.33471276e-04]\n",
      " [  4.85056947e-04]\n",
      " [  4.38494538e-04]\n",
      " [  1.99578384e-04]\n",
      " [  3.97212585e-04]\n",
      " [  3.04443490e-04]\n",
      " [  4.93734598e-04]\n",
      " [  2.99620376e-04]\n",
      " [  1.08843859e-04]\n",
      " [  2.09531741e-04]\n",
      " [  3.17030624e-04]\n",
      " [  4.15727734e-04]\n",
      " [ -3.17410338e-04]\n",
      " [ -3.75540420e-04]\n",
      " [  1.93195454e-04]\n",
      " [  1.68802394e-04]\n",
      " [  5.15098134e-04]\n",
      " [ -1.24265671e-04]]\n",
      "[[ 0.00050118]\n",
      " [ 0.00068395]\n",
      " [ 0.00032733]\n",
      " [ 0.00035282]\n",
      " [ 0.00057297]\n",
      " [ 0.00049016]\n",
      " [ 0.00029592]\n",
      " [ 0.00038725]\n",
      " [ 0.00061055]\n",
      " [ 0.00040972]\n",
      " [ 0.00040336]]\n",
      "AE2_SVDD_rbf+ [[  3.42891239e-04]\n",
      " [  3.95621814e-04]\n",
      " [  3.81034932e-04]\n",
      " [  4.57735740e-04]\n",
      " [  2.16584729e-04]\n",
      " [  1.88402983e-04]\n",
      " [  3.18688910e-04]\n",
      " [  2.31059024e-04]\n",
      " [ -1.38529349e-12]\n",
      " [  1.86916417e-04]\n",
      " [  2.68596220e-04]\n",
      " [  2.79104912e-04]\n",
      " [  7.07798946e-05]\n",
      " [  1.29302915e-04]\n",
      " [  5.79402486e-06]\n",
      " [ -1.17843473e-05]\n",
      " [  2.44960332e-04]\n",
      " [ -2.61867810e-04]\n",
      " [  2.12724871e-04]\n",
      " [  2.81005878e-05]\n",
      " [  4.90249624e-04]\n",
      " [  2.32449554e-04]\n",
      " [  2.91213277e-04]\n",
      " [  1.63479852e-04]\n",
      " [  2.40790171e-04]\n",
      " [  3.04364414e-04]\n",
      " [  2.89129396e-04]\n",
      " [ -4.96865760e-05]\n",
      " [ -2.59975558e-04]\n",
      " [  4.48325996e-04]\n",
      " [  2.92995266e-04]\n",
      " [  2.19173097e-04]\n",
      " [  7.00918504e-05]\n",
      " [  2.24798891e-04]\n",
      " [  2.65185545e-04]\n",
      " [  4.54767498e-04]\n",
      " [  3.56588682e-04]\n",
      " [  1.55736665e-04]\n",
      " [  1.49632614e-05]\n",
      " [  1.65468380e-04]\n",
      " [  2.34489836e-04]\n",
      " [  3.99272041e-04]\n",
      " [  1.50397630e-04]\n",
      " [  2.12502375e-04]\n",
      " [ -3.98526971e-05]\n",
      " [  1.49296556e-05]\n",
      " [  5.09343233e-04]\n",
      " [ -2.12615352e-05]\n",
      " [  2.90193703e-04]\n",
      " [  2.72932997e-04]\n",
      " [ -9.88298192e-05]\n",
      " [ -2.03669921e-04]\n",
      " [  2.65856298e-04]\n",
      " [  2.02639999e-04]\n",
      " [  4.28454314e-04]\n",
      " [  3.90153289e-04]\n",
      " [  2.48691638e-04]\n",
      " [  4.56602710e-05]\n",
      " [  3.18641503e-05]\n",
      " [ -7.04497739e-05]\n",
      " [  3.45434290e-04]\n",
      " [  1.32083252e-04]\n",
      " [  3.00708625e-04]\n",
      " [  4.61761556e-04]\n",
      " [  4.39419825e-04]\n",
      " [  8.47689526e-05]\n",
      " [  2.20047070e-04]\n",
      " [  3.05748219e-04]\n",
      " [ -1.82909311e-04]\n",
      " [  4.18780905e-04]\n",
      " [  6.26429047e-06]\n",
      " [  2.60386373e-04]\n",
      " [  2.17086870e-04]\n",
      " [  4.68101866e-04]\n",
      " [  6.16624978e-05]\n",
      " [  1.61453499e-04]\n",
      " [ -3.12364156e-04]\n",
      " [  4.32036732e-05]\n",
      " [ -3.22926540e-05]\n",
      " [ -2.56960587e-04]\n",
      " [  2.76347948e-04]\n",
      " [  2.82903707e-04]\n",
      " [  3.08449161e-04]\n",
      " [  2.74912466e-04]\n",
      " [  3.03273502e-04]\n",
      " [  3.70850772e-04]\n",
      " [ -8.29932956e-05]\n",
      " [  3.80319075e-04]\n",
      " [  4.24472673e-04]\n",
      " [  2.65155220e-04]\n",
      " [  2.23358665e-04]\n",
      " [ -2.45571312e-05]\n",
      " [  1.57731377e-04]\n",
      " [  4.66270003e-04]\n",
      " [ -4.08906545e-05]\n",
      " [ -1.50787288e-04]\n",
      " [  2.13187266e-04]\n",
      " [ -8.67649789e-05]\n",
      " [  7.01434145e-05]\n",
      " [  3.76677887e-04]\n",
      " [  1.67159324e-04]\n",
      " [  4.18581565e-04]\n",
      " [  2.57369179e-04]\n",
      " [  3.33545504e-04]\n",
      " [  4.75643479e-04]\n",
      " [  2.25692590e-04]\n",
      " [  3.15640624e-04]\n",
      " [  1.77805917e-04]\n",
      " [ -2.21690153e-04]\n",
      " [ -8.98593587e-05]\n",
      " [  3.46413374e-04]\n",
      " [ -2.12340058e-05]\n",
      " [ -8.14397261e-06]\n",
      " [  6.20647063e-04]\n",
      " [  1.85848222e-04]\n",
      " [  1.74695481e-04]\n",
      " [  1.83629482e-05]\n",
      " [ -2.35680203e-04]\n",
      " [  2.95399302e-04]\n",
      " [ -2.33582101e-04]\n",
      " [ -3.95603538e-05]\n",
      " [  4.73489304e-04]\n",
      " [  3.80554840e-04]\n",
      " [ -1.64877534e-04]\n",
      " [ -3.02033501e-04]\n",
      " [ -2.24373597e-05]\n",
      " [  3.91221569e-04]\n",
      " [  2.64900690e-04]\n",
      " [  1.03187745e-04]\n",
      " [  4.04409873e-04]\n",
      " [  2.30166201e-04]\n",
      " [  1.95571636e-04]\n",
      " [  2.58771923e-04]\n",
      " [  1.26160689e-04]\n",
      " [ -3.22458985e-04]\n",
      " [  1.83440809e-04]\n",
      " [  4.09112580e-04]\n",
      " [  2.28299812e-04]\n",
      " [  3.24820255e-04]\n",
      " [  1.12228043e-04]\n",
      " [  5.33806498e-04]\n",
      " [  2.06096782e-04]\n",
      " [  5.46941592e-04]\n",
      " [  3.33147770e-05]\n",
      " [  4.46472681e-04]\n",
      " [  3.92922315e-04]\n",
      " [  4.26325905e-04]\n",
      " [ -9.64047688e-05]\n",
      " [  1.11675613e-04]\n",
      " [  7.18209893e-05]\n",
      " [  4.16909705e-04]\n",
      " [  7.43843894e-05]\n",
      " [  2.11193688e-04]\n",
      " [ -1.76137280e-04]\n",
      " [ -6.37499946e-05]\n",
      " [  8.78311476e-05]\n",
      " [  4.37553759e-04]\n",
      " [  3.00784831e-04]\n",
      " [  2.13580677e-05]\n",
      " [  7.71112358e-05]\n",
      " [  3.70743182e-04]\n",
      " [  2.88227897e-04]\n",
      " [  2.96402574e-04]\n",
      " [  4.86298810e-04]\n",
      " [ -4.05921934e-05]\n",
      " [ -6.39583146e-05]\n",
      " [ -2.23135439e-04]\n",
      " [ -2.55867892e-04]\n",
      " [  2.15971267e-04]\n",
      " [ -2.82778112e-04]\n",
      " [  3.38709574e-04]\n",
      " [  3.29807767e-04]\n",
      " [  2.07398984e-04]\n",
      " [  6.11060318e-04]\n",
      " [  4.16848191e-04]\n",
      " [  1.08722549e-04]\n",
      " [ -1.78147265e-04]\n",
      " [  3.53375739e-04]\n",
      " [  3.40326394e-04]\n",
      " [  2.25743120e-04]\n",
      " [  8.43255258e-05]\n",
      " [  3.02204137e-04]\n",
      " [  1.54190736e-04]\n",
      " [ -2.55153034e-04]\n",
      " [ -1.98148163e-04]\n",
      " [  4.74109853e-04]\n",
      " [  1.03440812e-04]\n",
      " [  2.01523129e-04]\n",
      " [  1.16506808e-04]\n",
      " [  3.91246589e-04]\n",
      " [  2.95316430e-04]\n",
      " [  3.04196486e-04]\n",
      " [  2.61718377e-04]\n",
      " [  1.68191486e-04]\n",
      " [  8.84872404e-05]\n",
      " [  1.78911732e-04]\n",
      " [  3.97831823e-04]\n",
      " [  2.57811568e-04]\n",
      " [  4.03175995e-04]\n",
      " [ -1.77521066e-04]\n",
      " [  2.34555147e-04]\n",
      " [  4.48547136e-04]\n",
      " [  5.33471276e-04]\n",
      " [  4.85056947e-04]\n",
      " [  4.38494538e-04]\n",
      " [  1.99578384e-04]\n",
      " [  3.97212585e-04]\n",
      " [  3.04443490e-04]\n",
      " [  4.93734598e-04]\n",
      " [  2.99620376e-04]\n",
      " [  1.08843859e-04]\n",
      " [  2.09531741e-04]\n",
      " [  3.17030624e-04]\n",
      " [  4.15727734e-04]\n",
      " [ -3.17410338e-04]\n",
      " [ -3.75540420e-04]\n",
      " [  1.93195454e-04]\n",
      " [  1.68802394e-04]\n",
      " [  5.15098134e-04]\n",
      " [ -1.24265671e-04]]\n",
      "AE2_SVDD_rbf- [[ 0.00050118]\n",
      " [ 0.00068395]\n",
      " [ 0.00032733]\n",
      " [ 0.00035282]\n",
      " [ 0.00057297]\n",
      " [ 0.00049016]\n",
      " [ 0.00029592]\n",
      " [ 0.00038725]\n",
      " [ 0.00061055]\n",
      " [ 0.00040972]\n",
      " [ 0.00040336]]\n",
      "Finished ae_ocsvm-linear\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "[[  2.40358875e-05]\n",
      " [  1.82602929e-05]\n",
      " [  2.97740377e-05]\n",
      " [  2.50958808e-05]\n",
      " [ -4.03441585e-05]\n",
      " [  1.83974868e-05]\n",
      " [  3.01045761e-05]\n",
      " [  2.97331869e-05]\n",
      " [ -5.16288274e-08]\n",
      " [  2.64411025e-05]\n",
      " [  2.98750359e-05]\n",
      " [  2.53658551e-05]\n",
      " [  6.83459025e-06]\n",
      " [  2.30858351e-05]\n",
      " [ -3.51408835e-05]\n",
      " [ -2.30470092e-05]\n",
      " [  3.07096286e-05]\n",
      " [ -6.27088701e-05]\n",
      " [  2.86456773e-05]\n",
      " [  9.85746377e-06]\n",
      " [  1.75274384e-05]\n",
      " [  2.77541679e-05]\n",
      " [  2.62348597e-05]\n",
      " [  2.56924470e-05]\n",
      " [  3.02338660e-05]\n",
      " [  3.11429934e-05]\n",
      " [  2.98895680e-05]\n",
      " [ -1.22537910e-05]\n",
      " [ -6.21879415e-05]\n",
      " [  1.30792669e-05]\n",
      " [  2.82052200e-05]\n",
      " [  2.85240783e-05]\n",
      " [  1.56636168e-06]\n",
      " [  3.03997756e-05]\n",
      " [  2.88176040e-05]\n",
      " [  2.51220899e-05]\n",
      " [  2.28158135e-05]\n",
      " [  2.61686983e-05]\n",
      " [  7.84635538e-06]\n",
      " [  2.48539643e-05]\n",
      " [  2.92644478e-05]\n",
      " [  1.35801268e-05]\n",
      " [  2.17050235e-05]\n",
      " [  2.91009982e-05]\n",
      " [ -6.76565667e-06]\n",
      " [  5.39384086e-06]\n",
      " [  1.51077450e-05]\n",
      " [ -1.00855685e-05]\n",
      " [  3.06763683e-05]\n",
      " [  1.23996308e-05]\n",
      " [ -1.65537450e-05]\n",
      " [ -4.09958315e-05]\n",
      " [  2.95700425e-05]\n",
      " [  1.79834661e-05]\n",
      " [  1.46575189e-05]\n",
      " [ -9.58273606e-06]\n",
      " [  2.86480562e-05]\n",
      " [ -1.42273980e-05]\n",
      " [  1.03195979e-05]\n",
      " [ -4.49066666e-05]\n",
      " [  2.82252977e-05]\n",
      " [  5.01789992e-06]\n",
      " [  3.09803067e-05]\n",
      " [  1.22541313e-06]\n",
      " [  2.34225986e-05]\n",
      " [  1.46567976e-05]\n",
      " [  2.42428546e-05]\n",
      " [  3.07168821e-05]\n",
      " [ -4.10596980e-05]\n",
      " [  2.46502721e-05]\n",
      " [  6.04313941e-06]\n",
      " [  3.14941111e-05]\n",
      " [  1.60213407e-05]\n",
      " [  2.29089431e-05]\n",
      " [  7.41292613e-06]\n",
      " [  2.33676931e-05]\n",
      " [ -7.25689942e-05]\n",
      " [  1.42748160e-05]\n",
      " [ -1.38295839e-06]\n",
      " [ -5.87208679e-05]\n",
      " [  3.04207336e-05]\n",
      " [  3.09148251e-05]\n",
      " [  3.10456974e-05]\n",
      " [  3.00258321e-05]\n",
      " [  3.09716602e-05]\n",
      " [  2.42570754e-05]\n",
      " [ -1.87109358e-05]\n",
      " [  3.03374106e-05]\n",
      " [  2.75394143e-05]\n",
      " [  1.21625805e-05]\n",
      " [  2.21619250e-05]\n",
      " [  7.19297596e-07]\n",
      " [  1.62206668e-05]\n",
      " [  2.16540859e-05]\n",
      " [ -9.96114375e-06]\n",
      " [ -3.20316306e-05]\n",
      " [  2.77429179e-05]\n",
      " [ -1.51838722e-05]\n",
      " [ -6.03036655e-05]\n",
      " [  3.07402188e-05]\n",
      " [  2.20282232e-05]\n",
      " [  2.65811248e-05]\n",
      " [  1.24258087e-05]\n",
      " [  9.39284819e-06]\n",
      " [  2.13424129e-05]\n",
      " [  2.91519223e-05]\n",
      " [  3.13375643e-05]\n",
      " [  2.46148195e-05]\n",
      " [ -6.01193054e-05]\n",
      " [ -3.42854702e-05]\n",
      " [  2.62822764e-05]\n",
      " [ -1.45626510e-04]\n",
      " [  8.71804852e-07]\n",
      " [ -1.98378539e-05]\n",
      " [  2.78851288e-05]\n",
      " [  2.69498195e-05]\n",
      " [  9.68620722e-06]\n",
      " [ -5.72850886e-05]\n",
      " [  3.10325717e-05]\n",
      " [ -9.68056462e-05]\n",
      " [ -3.76634491e-07]\n",
      " [  2.31020958e-05]\n",
      " [  3.06758244e-05]\n",
      " [ -3.98787245e-05]\n",
      " [ -1.59620919e-04]\n",
      " [  5.19217567e-07]\n",
      " [  2.64944093e-05]\n",
      " [  3.05510098e-05]\n",
      " [ -3.50726870e-06]\n",
      " [  2.72714405e-05]\n",
      " [  3.01840515e-05]\n",
      " [  2.18638818e-05]\n",
      " [  2.93384913e-05]\n",
      " [  2.24968403e-05]\n",
      " [ -7.34282130e-05]\n",
      " [  7.05164181e-06]\n",
      " [  1.79859302e-05]\n",
      " [  3.03105072e-05]\n",
      " [  2.66735575e-05]\n",
      " [  2.12641465e-05]\n",
      " [  3.67492905e-06]\n",
      " [  2.61618885e-05]\n",
      " [  9.77047681e-06]\n",
      " [  1.04651201e-05]\n",
      " [  1.26682065e-05]\n",
      " [  1.12992869e-05]\n",
      " [  1.74301708e-05]\n",
      " [ -1.52871943e-05]\n",
      " [  1.45103021e-05]\n",
      " [ -7.34767932e-06]\n",
      " [  2.82846683e-05]\n",
      " [  1.51497843e-05]\n",
      " [  2.50760187e-05]\n",
      " [ -3.40275785e-05]\n",
      " [ -6.74290738e-06]\n",
      " [  1.42348316e-05]\n",
      " [  8.28466628e-06]\n",
      " [  2.19449234e-05]\n",
      " [  8.91336403e-06]\n",
      " [  1.07192698e-05]\n",
      " [  2.67916758e-05]\n",
      " [  3.16716502e-05]\n",
      " [  2.89921766e-05]\n",
      " [  1.97621240e-05]\n",
      " [ -3.66852360e-06]\n",
      " [ -4.89167161e-06]\n",
      " [ -4.34473156e-05]\n",
      " [ -5.46914146e-05]\n",
      " [  2.94292778e-05]\n",
      " [ -6.29691125e-05]\n",
      " [  2.91188580e-05]\n",
      " [  2.58339001e-05]\n",
      " [  2.79496391e-05]\n",
      " [ -1.10636858e-05]\n",
      " [  2.74061249e-05]\n",
      " [  1.79958527e-05]\n",
      " [ -5.24093662e-05]\n",
      " [  2.65094873e-05]\n",
      " [  3.06448113e-05]\n",
      " [  1.90643989e-05]\n",
      " [  1.84453390e-05]\n",
      " [  2.73662938e-05]\n",
      " [  2.41839248e-05]\n",
      " [ -5.63328269e-05]\n",
      " [ -3.97638921e-05]\n",
      " [  2.19244018e-05]\n",
      " [  1.88349178e-05]\n",
      " [  2.80192799e-05]\n",
      " [  2.27059633e-05]\n",
      " [  1.45834892e-05]\n",
      " [  2.59296170e-05]\n",
      " [  2.50827292e-05]\n",
      " [  2.58183484e-05]\n",
      " [  5.95448625e-06]\n",
      " [  1.22907354e-05]\n",
      " [  2.30610390e-05]\n",
      " [  2.70079830e-05]\n",
      " [  2.94212912e-05]\n",
      " [  2.89183457e-05]\n",
      " [ -4.41153015e-05]\n",
      " [  2.92057488e-05]\n",
      " [  2.60446470e-05]\n",
      " [  9.55912302e-06]\n",
      " [  1.28682152e-05]\n",
      " [  5.23817373e-06]\n",
      " [  2.91181166e-05]\n",
      " [  2.66594479e-05]\n",
      " [  3.04355511e-05]\n",
      " [  1.73373089e-05]\n",
      " [  3.11089178e-05]\n",
      " [  2.09792855e-05]\n",
      " [ -3.53474122e-05]\n",
      " [  3.05588951e-05]\n",
      " [  2.71071068e-05]\n",
      " [ -7.74203820e-05]\n",
      " [ -1.02503206e-04]\n",
      " [  1.39022102e-05]\n",
      " [  2.53260344e-05]\n",
      " [  1.74014083e-05]\n",
      " [ -2.21363650e-05]]\n",
      "[[-0.00014174]\n",
      " [-0.00021354]\n",
      " [-0.00016422]\n",
      " [-0.00012224]\n",
      " [-0.0001535 ]\n",
      " [-0.00012699]\n",
      " [-0.00019462]\n",
      " [-0.00010812]\n",
      " [-0.0001253 ]\n",
      " [-0.00013817]\n",
      " [-0.00019531]]\n",
      "AE2_SVDD_rbf+ [[  2.40358875e-05]\n",
      " [  1.82602929e-05]\n",
      " [  2.97740377e-05]\n",
      " [  2.50958808e-05]\n",
      " [ -4.03441585e-05]\n",
      " [  1.83974868e-05]\n",
      " [  3.01045761e-05]\n",
      " [  2.97331869e-05]\n",
      " [ -5.16288274e-08]\n",
      " [  2.64411025e-05]\n",
      " [  2.98750359e-05]\n",
      " [  2.53658551e-05]\n",
      " [  6.83459025e-06]\n",
      " [  2.30858351e-05]\n",
      " [ -3.51408835e-05]\n",
      " [ -2.30470092e-05]\n",
      " [  3.07096286e-05]\n",
      " [ -6.27088701e-05]\n",
      " [  2.86456773e-05]\n",
      " [  9.85746377e-06]\n",
      " [  1.75274384e-05]\n",
      " [  2.77541679e-05]\n",
      " [  2.62348597e-05]\n",
      " [  2.56924470e-05]\n",
      " [  3.02338660e-05]\n",
      " [  3.11429934e-05]\n",
      " [  2.98895680e-05]\n",
      " [ -1.22537910e-05]\n",
      " [ -6.21879415e-05]\n",
      " [  1.30792669e-05]\n",
      " [  2.82052200e-05]\n",
      " [  2.85240783e-05]\n",
      " [  1.56636168e-06]\n",
      " [  3.03997756e-05]\n",
      " [  2.88176040e-05]\n",
      " [  2.51220899e-05]\n",
      " [  2.28158135e-05]\n",
      " [  2.61686983e-05]\n",
      " [  7.84635538e-06]\n",
      " [  2.48539643e-05]\n",
      " [  2.92644478e-05]\n",
      " [  1.35801268e-05]\n",
      " [  2.17050235e-05]\n",
      " [  2.91009982e-05]\n",
      " [ -6.76565667e-06]\n",
      " [  5.39384086e-06]\n",
      " [  1.51077450e-05]\n",
      " [ -1.00855685e-05]\n",
      " [  3.06763683e-05]\n",
      " [  1.23996308e-05]\n",
      " [ -1.65537450e-05]\n",
      " [ -4.09958315e-05]\n",
      " [  2.95700425e-05]\n",
      " [  1.79834661e-05]\n",
      " [  1.46575189e-05]\n",
      " [ -9.58273606e-06]\n",
      " [  2.86480562e-05]\n",
      " [ -1.42273980e-05]\n",
      " [  1.03195979e-05]\n",
      " [ -4.49066666e-05]\n",
      " [  2.82252977e-05]\n",
      " [  5.01789992e-06]\n",
      " [  3.09803067e-05]\n",
      " [  1.22541313e-06]\n",
      " [  2.34225986e-05]\n",
      " [  1.46567976e-05]\n",
      " [  2.42428546e-05]\n",
      " [  3.07168821e-05]\n",
      " [ -4.10596980e-05]\n",
      " [  2.46502721e-05]\n",
      " [  6.04313941e-06]\n",
      " [  3.14941111e-05]\n",
      " [  1.60213407e-05]\n",
      " [  2.29089431e-05]\n",
      " [  7.41292613e-06]\n",
      " [  2.33676931e-05]\n",
      " [ -7.25689942e-05]\n",
      " [  1.42748160e-05]\n",
      " [ -1.38295839e-06]\n",
      " [ -5.87208679e-05]\n",
      " [  3.04207336e-05]\n",
      " [  3.09148251e-05]\n",
      " [  3.10456974e-05]\n",
      " [  3.00258321e-05]\n",
      " [  3.09716602e-05]\n",
      " [  2.42570754e-05]\n",
      " [ -1.87109358e-05]\n",
      " [  3.03374106e-05]\n",
      " [  2.75394143e-05]\n",
      " [  1.21625805e-05]\n",
      " [  2.21619250e-05]\n",
      " [  7.19297596e-07]\n",
      " [  1.62206668e-05]\n",
      " [  2.16540859e-05]\n",
      " [ -9.96114375e-06]\n",
      " [ -3.20316306e-05]\n",
      " [  2.77429179e-05]\n",
      " [ -1.51838722e-05]\n",
      " [ -6.03036655e-05]\n",
      " [  3.07402188e-05]\n",
      " [  2.20282232e-05]\n",
      " [  2.65811248e-05]\n",
      " [  1.24258087e-05]\n",
      " [  9.39284819e-06]\n",
      " [  2.13424129e-05]\n",
      " [  2.91519223e-05]\n",
      " [  3.13375643e-05]\n",
      " [  2.46148195e-05]\n",
      " [ -6.01193054e-05]\n",
      " [ -3.42854702e-05]\n",
      " [  2.62822764e-05]\n",
      " [ -1.45626510e-04]\n",
      " [  8.71804852e-07]\n",
      " [ -1.98378539e-05]\n",
      " [  2.78851288e-05]\n",
      " [  2.69498195e-05]\n",
      " [  9.68620722e-06]\n",
      " [ -5.72850886e-05]\n",
      " [  3.10325717e-05]\n",
      " [ -9.68056462e-05]\n",
      " [ -3.76634491e-07]\n",
      " [  2.31020958e-05]\n",
      " [  3.06758244e-05]\n",
      " [ -3.98787245e-05]\n",
      " [ -1.59620919e-04]\n",
      " [  5.19217567e-07]\n",
      " [  2.64944093e-05]\n",
      " [  3.05510098e-05]\n",
      " [ -3.50726870e-06]\n",
      " [  2.72714405e-05]\n",
      " [  3.01840515e-05]\n",
      " [  2.18638818e-05]\n",
      " [  2.93384913e-05]\n",
      " [  2.24968403e-05]\n",
      " [ -7.34282130e-05]\n",
      " [  7.05164181e-06]\n",
      " [  1.79859302e-05]\n",
      " [  3.03105072e-05]\n",
      " [  2.66735575e-05]\n",
      " [  2.12641465e-05]\n",
      " [  3.67492905e-06]\n",
      " [  2.61618885e-05]\n",
      " [  9.77047681e-06]\n",
      " [  1.04651201e-05]\n",
      " [  1.26682065e-05]\n",
      " [  1.12992869e-05]\n",
      " [  1.74301708e-05]\n",
      " [ -1.52871943e-05]\n",
      " [  1.45103021e-05]\n",
      " [ -7.34767932e-06]\n",
      " [  2.82846683e-05]\n",
      " [  1.51497843e-05]\n",
      " [  2.50760187e-05]\n",
      " [ -3.40275785e-05]\n",
      " [ -6.74290738e-06]\n",
      " [  1.42348316e-05]\n",
      " [  8.28466628e-06]\n",
      " [  2.19449234e-05]\n",
      " [  8.91336403e-06]\n",
      " [  1.07192698e-05]\n",
      " [  2.67916758e-05]\n",
      " [  3.16716502e-05]\n",
      " [  2.89921766e-05]\n",
      " [  1.97621240e-05]\n",
      " [ -3.66852360e-06]\n",
      " [ -4.89167161e-06]\n",
      " [ -4.34473156e-05]\n",
      " [ -5.46914146e-05]\n",
      " [  2.94292778e-05]\n",
      " [ -6.29691125e-05]\n",
      " [  2.91188580e-05]\n",
      " [  2.58339001e-05]\n",
      " [  2.79496391e-05]\n",
      " [ -1.10636858e-05]\n",
      " [  2.74061249e-05]\n",
      " [  1.79958527e-05]\n",
      " [ -5.24093662e-05]\n",
      " [  2.65094873e-05]\n",
      " [  3.06448113e-05]\n",
      " [  1.90643989e-05]\n",
      " [  1.84453390e-05]\n",
      " [  2.73662938e-05]\n",
      " [  2.41839248e-05]\n",
      " [ -5.63328269e-05]\n",
      " [ -3.97638921e-05]\n",
      " [  2.19244018e-05]\n",
      " [  1.88349178e-05]\n",
      " [  2.80192799e-05]\n",
      " [  2.27059633e-05]\n",
      " [  1.45834892e-05]\n",
      " [  2.59296170e-05]\n",
      " [  2.50827292e-05]\n",
      " [  2.58183484e-05]\n",
      " [  5.95448625e-06]\n",
      " [  1.22907354e-05]\n",
      " [  2.30610390e-05]\n",
      " [  2.70079830e-05]\n",
      " [  2.94212912e-05]\n",
      " [  2.89183457e-05]\n",
      " [ -4.41153015e-05]\n",
      " [  2.92057488e-05]\n",
      " [  2.60446470e-05]\n",
      " [  9.55912302e-06]\n",
      " [  1.28682152e-05]\n",
      " [  5.23817373e-06]\n",
      " [  2.91181166e-05]\n",
      " [  2.66594479e-05]\n",
      " [  3.04355511e-05]\n",
      " [  1.73373089e-05]\n",
      " [  3.11089178e-05]\n",
      " [  2.09792855e-05]\n",
      " [ -3.53474122e-05]\n",
      " [  3.05588951e-05]\n",
      " [  2.71071068e-05]\n",
      " [ -7.74203820e-05]\n",
      " [ -1.02503206e-04]\n",
      " [  1.39022102e-05]\n",
      " [  2.53260344e-05]\n",
      " [  1.74014083e-05]\n",
      " [ -2.21363650e-05]]\n",
      "AE2_SVDD_rbf- [[-0.00014174]\n",
      " [-0.00021354]\n",
      " [-0.00016422]\n",
      " [-0.00012224]\n",
      " [-0.0001535 ]\n",
      " [-0.00012699]\n",
      " [-0.00019462]\n",
      " [-0.00010812]\n",
      " [-0.0001253 ]\n",
      " [-0.00013817]\n",
      " [-0.00019531]]\n",
      "Finished ae_ocsvm-sigmoid\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "[[  5.13931316e-04]\n",
      " [  4.26482323e-04]\n",
      " [  3.52954444e-04]\n",
      " [  2.43056728e-04]\n",
      " [ -2.40085940e-04]\n",
      " [  4.82387662e-04]\n",
      " [  4.25955903e-04]\n",
      " [  5.76830333e-04]\n",
      " [  1.82367805e-04]\n",
      " [  4.73778316e-04]\n",
      " [  6.15868935e-04]\n",
      " [  3.13078759e-04]\n",
      " [  3.93739504e-04]\n",
      " [  5.01230198e-04]\n",
      " [  1.38213959e-04]\n",
      " [  2.59115562e-04]\n",
      " [  5.09784603e-04]\n",
      " [ -3.31929150e-04]\n",
      " [  3.65594029e-04]\n",
      " [  2.00638570e-04]\n",
      " [  2.20538315e-04]\n",
      " [  3.41337398e-04]\n",
      " [  4.06953130e-04]\n",
      " [  4.19661209e-04]\n",
      " [  4.55897375e-04]\n",
      " [  5.14616537e-04]\n",
      " [  4.74337528e-04]\n",
      " [  3.57453929e-04]\n",
      " [ -2.40087502e-04]\n",
      " [  1.69802024e-04]\n",
      " [  2.67095749e-04]\n",
      " [  4.65078586e-04]\n",
      " [  3.38622233e-04]\n",
      " [  6.00267230e-04]\n",
      " [  2.59455464e-04]\n",
      " [  2.61280858e-04]\n",
      " [  3.24733300e-04]\n",
      " [  5.58860990e-04]\n",
      " [  1.53948134e-04]\n",
      " [  5.72775219e-04]\n",
      " [  5.23856441e-04]\n",
      " [ -6.32741199e-05]\n",
      " [  2.51445765e-04]\n",
      " [  5.66789171e-04]\n",
      " [  2.77361934e-04]\n",
      " [  3.03004836e-04]\n",
      " [  1.82839904e-04]\n",
      " [ -1.46609607e-04]\n",
      " [  5.67119368e-04]\n",
      " [  3.51329221e-04]\n",
      " [  3.21379380e-04]\n",
      " [  2.51444913e-04]\n",
      " [  5.84148592e-04]\n",
      " [  4.25492880e-04]\n",
      " [  3.18609272e-04]\n",
      " [  3.74489098e-04]\n",
      " [  5.15292561e-04]\n",
      " [  1.07905796e-04]\n",
      " [  3.94406891e-04]\n",
      " [  8.85056724e-05]\n",
      " [  3.45542821e-04]\n",
      " [  3.49371458e-04]\n",
      " [  5.05933317e-04]\n",
      " [ -3.70563999e-04]\n",
      " [  1.17368432e-04]\n",
      " [  4.79920949e-04]\n",
      " [  4.40583269e-04]\n",
      " [  5.11761638e-04]\n",
      " [  4.13236951e-04]\n",
      " [  3.28864224e-04]\n",
      " [  1.64966887e-04]\n",
      " [  5.80285176e-04]\n",
      " [  3.81810886e-04]\n",
      " [  2.03219218e-04]\n",
      " [  2.88418224e-04]\n",
      " [  4.62015648e-04]\n",
      " [  5.90744178e-05]\n",
      " [  4.04314760e-04]\n",
      " [  4.38292296e-04]\n",
      " [  1.91182030e-05]\n",
      " [  5.41719595e-04]\n",
      " [  6.15254883e-04]\n",
      " [  4.68720865e-04]\n",
      " [  5.30345542e-04]\n",
      " [  5.76057372e-04]\n",
      " [  3.43860893e-04]\n",
      " [  4.20548615e-04]\n",
      " [  4.41768723e-04]\n",
      " [  3.69098218e-04]\n",
      " [  5.33822251e-04]\n",
      " [  5.50018762e-04]\n",
      " [  1.79273977e-04]\n",
      " [  3.36836444e-04]\n",
      " [  1.17008233e-04]\n",
      " [  3.58243116e-04]\n",
      " [  2.50595733e-04]\n",
      " [  6.61993254e-04]\n",
      " [  3.13495556e-04]\n",
      " [  7.30688885e-04]\n",
      " [  4.79653295e-04]\n",
      " [  6.20507991e-04]\n",
      " [  3.15689245e-04]\n",
      " [  2.18004528e-04]\n",
      " [ -1.06021944e-04]\n",
      " [  1.44663440e-04]\n",
      " [  4.40671300e-04]\n",
      " [  3.90147599e-04]\n",
      " [  3.39266376e-04]\n",
      " [ -2.38176939e-04]\n",
      " [ -3.54929166e-04]\n",
      " [  3.95497436e-04]\n",
      " [ -1.14728133e-04]\n",
      " [  5.22238126e-04]\n",
      " [ -2.52323687e-04]\n",
      " [  5.97772138e-04]\n",
      " [  4.89315256e-04]\n",
      " [  4.27423502e-04]\n",
      " [ -1.41819910e-04]\n",
      " [  4.96027819e-04]\n",
      " [  7.89131826e-04]\n",
      " [  3.12354391e-04]\n",
      " [  1.97603957e-04]\n",
      " [  3.88505171e-04]\n",
      " [ -4.30151101e-04]\n",
      " [  8.45031631e-04]\n",
      " [  4.40554580e-04]\n",
      " [  4.53382930e-04]\n",
      " [  5.57736732e-04]\n",
      " [  2.13978889e-04]\n",
      " [  2.23442397e-04]\n",
      " [  5.23179887e-04]\n",
      " [  5.01065919e-04]\n",
      " [  4.34470928e-04]\n",
      " [  4.47113669e-04]\n",
      " [  2.62986790e-04]\n",
      " [  4.82097426e-04]\n",
      " [ -3.82502846e-05]\n",
      " [  5.28395341e-04]\n",
      " [  4.43337162e-04]\n",
      " [  4.87319388e-04]\n",
      " [ -1.23698946e-04]\n",
      " [  4.26917030e-04]\n",
      " [  1.37278616e-05]\n",
      " [  3.75201849e-04]\n",
      " [  3.05725756e-04]\n",
      " [ -3.45602570e-04]\n",
      " [  1.97858838e-04]\n",
      " [  2.02352944e-04]\n",
      " [  5.20431852e-04]\n",
      " [  1.03545899e-04]\n",
      " [  3.55727817e-04]\n",
      " [  3.89221610e-04]\n",
      " [  2.33841646e-04]\n",
      " [  2.49589606e-04]\n",
      " [  3.74986103e-04]\n",
      " [  4.51987377e-04]\n",
      " [  2.89675785e-04]\n",
      " [  3.37898341e-04]\n",
      " [  3.52017800e-04]\n",
      " [  1.06017293e-04]\n",
      " [  3.35236165e-04]\n",
      " [  4.64748896e-04]\n",
      " [  4.07893706e-04]\n",
      " [  1.72495815e-04]\n",
      " [  3.93774114e-04]\n",
      " [  3.79118812e-04]\n",
      " [  5.56221797e-04]\n",
      " [  3.35367831e-04]\n",
      " [  5.12095718e-04]\n",
      " [  6.49149790e-04]\n",
      " [  3.60542001e-04]\n",
      " [  5.03260293e-04]\n",
      " [  3.29431614e-04]\n",
      " [ -1.73368401e-04]\n",
      " [  3.70679873e-04]\n",
      " [  2.61455964e-04]\n",
      " [  2.31855431e-04]\n",
      " [  3.64003637e-04]\n",
      " [  4.91850559e-04]\n",
      " [  2.71869158e-04]\n",
      " [  3.39318759e-04]\n",
      " [  5.57202021e-04]\n",
      " [  5.39483525e-04]\n",
      " [  1.11130199e-04]\n",
      " [  2.58470707e-04]\n",
      " [  1.62109969e-04]\n",
      " [  3.52378130e-04]\n",
      " [  4.97647658e-04]\n",
      " [  5.43330176e-04]\n",
      " [  5.44130457e-04]\n",
      " [  4.26436730e-04]\n",
      " [  2.84344988e-04]\n",
      " [  6.73949778e-04]\n",
      " [  5.52446735e-04]\n",
      " [  2.41460646e-04]\n",
      " [  1.61916239e-04]\n",
      " [  1.87529497e-04]\n",
      " [  5.77378250e-04]\n",
      " [  3.58701763e-04]\n",
      " [  2.34616670e-04]\n",
      " [  3.65935460e-04]\n",
      " [  2.97032020e-04]\n",
      " [ -1.23883200e-04]\n",
      " [ -6.06747421e-05]\n",
      " [ -3.03676172e-04]\n",
      " [  5.01755497e-04]\n",
      " [  4.48485853e-04]\n",
      " [  4.58696087e-04]\n",
      " [  2.30139920e-04]\n",
      " [  4.49013871e-04]\n",
      " [  4.96674920e-04]\n",
      " [ -6.60870330e-05]\n",
      " [  4.33409016e-04]\n",
      " [  2.66067012e-04]\n",
      " [  1.15908579e-04]\n",
      " [  5.17140810e-04]\n",
      " [  4.03942335e-04]\n",
      " [  2.82934135e-04]\n",
      " [  7.37329731e-05]\n",
      " [  6.10461790e-04]]\n",
      "[[ -4.33947989e-04]\n",
      " [ -1.74776428e-03]\n",
      " [  2.84897120e-04]\n",
      " [ -3.16935002e-04]\n",
      " [ -5.62175715e-04]\n",
      " [  1.59637254e-04]\n",
      " [  9.53128685e-05]\n",
      " [  6.14644255e-06]\n",
      " [ -4.96639037e-04]\n",
      " [ -8.61840989e-04]\n",
      " [ -4.59928854e-04]]\n",
      "CAE_OCSVM_Linear+ [[  5.13931316e-04]\n",
      " [  4.26482323e-04]\n",
      " [  3.52954444e-04]\n",
      " [  2.43056728e-04]\n",
      " [ -2.40085940e-04]\n",
      " [  4.82387662e-04]\n",
      " [  4.25955903e-04]\n",
      " [  5.76830333e-04]\n",
      " [  1.82367805e-04]\n",
      " [  4.73778316e-04]\n",
      " [  6.15868935e-04]\n",
      " [  3.13078759e-04]\n",
      " [  3.93739504e-04]\n",
      " [  5.01230198e-04]\n",
      " [  1.38213959e-04]\n",
      " [  2.59115562e-04]\n",
      " [  5.09784603e-04]\n",
      " [ -3.31929150e-04]\n",
      " [  3.65594029e-04]\n",
      " [  2.00638570e-04]\n",
      " [  2.20538315e-04]\n",
      " [  3.41337398e-04]\n",
      " [  4.06953130e-04]\n",
      " [  4.19661209e-04]\n",
      " [  4.55897375e-04]\n",
      " [  5.14616537e-04]\n",
      " [  4.74337528e-04]\n",
      " [  3.57453929e-04]\n",
      " [ -2.40087502e-04]\n",
      " [  1.69802024e-04]\n",
      " [  2.67095749e-04]\n",
      " [  4.65078586e-04]\n",
      " [  3.38622233e-04]\n",
      " [  6.00267230e-04]\n",
      " [  2.59455464e-04]\n",
      " [  2.61280858e-04]\n",
      " [  3.24733300e-04]\n",
      " [  5.58860990e-04]\n",
      " [  1.53948134e-04]\n",
      " [  5.72775219e-04]\n",
      " [  5.23856441e-04]\n",
      " [ -6.32741199e-05]\n",
      " [  2.51445765e-04]\n",
      " [  5.66789171e-04]\n",
      " [  2.77361934e-04]\n",
      " [  3.03004836e-04]\n",
      " [  1.82839904e-04]\n",
      " [ -1.46609607e-04]\n",
      " [  5.67119368e-04]\n",
      " [  3.51329221e-04]\n",
      " [  3.21379380e-04]\n",
      " [  2.51444913e-04]\n",
      " [  5.84148592e-04]\n",
      " [  4.25492880e-04]\n",
      " [  3.18609272e-04]\n",
      " [  3.74489098e-04]\n",
      " [  5.15292561e-04]\n",
      " [  1.07905796e-04]\n",
      " [  3.94406891e-04]\n",
      " [  8.85056724e-05]\n",
      " [  3.45542821e-04]\n",
      " [  3.49371458e-04]\n",
      " [  5.05933317e-04]\n",
      " [ -3.70563999e-04]\n",
      " [  1.17368432e-04]\n",
      " [  4.79920949e-04]\n",
      " [  4.40583269e-04]\n",
      " [  5.11761638e-04]\n",
      " [  4.13236951e-04]\n",
      " [  3.28864224e-04]\n",
      " [  1.64966887e-04]\n",
      " [  5.80285176e-04]\n",
      " [  3.81810886e-04]\n",
      " [  2.03219218e-04]\n",
      " [  2.88418224e-04]\n",
      " [  4.62015648e-04]\n",
      " [  5.90744178e-05]\n",
      " [  4.04314760e-04]\n",
      " [  4.38292296e-04]\n",
      " [  1.91182030e-05]\n",
      " [  5.41719595e-04]\n",
      " [  6.15254883e-04]\n",
      " [  4.68720865e-04]\n",
      " [  5.30345542e-04]\n",
      " [  5.76057372e-04]\n",
      " [  3.43860893e-04]\n",
      " [  4.20548615e-04]\n",
      " [  4.41768723e-04]\n",
      " [  3.69098218e-04]\n",
      " [  5.33822251e-04]\n",
      " [  5.50018762e-04]\n",
      " [  1.79273977e-04]\n",
      " [  3.36836444e-04]\n",
      " [  1.17008233e-04]\n",
      " [  3.58243116e-04]\n",
      " [  2.50595733e-04]\n",
      " [  6.61993254e-04]\n",
      " [  3.13495556e-04]\n",
      " [  7.30688885e-04]\n",
      " [  4.79653295e-04]\n",
      " [  6.20507991e-04]\n",
      " [  3.15689245e-04]\n",
      " [  2.18004528e-04]\n",
      " [ -1.06021944e-04]\n",
      " [  1.44663440e-04]\n",
      " [  4.40671300e-04]\n",
      " [  3.90147599e-04]\n",
      " [  3.39266376e-04]\n",
      " [ -2.38176939e-04]\n",
      " [ -3.54929166e-04]\n",
      " [  3.95497436e-04]\n",
      " [ -1.14728133e-04]\n",
      " [  5.22238126e-04]\n",
      " [ -2.52323687e-04]\n",
      " [  5.97772138e-04]\n",
      " [  4.89315256e-04]\n",
      " [  4.27423502e-04]\n",
      " [ -1.41819910e-04]\n",
      " [  4.96027819e-04]\n",
      " [  7.89131826e-04]\n",
      " [  3.12354391e-04]\n",
      " [  1.97603957e-04]\n",
      " [  3.88505171e-04]\n",
      " [ -4.30151101e-04]\n",
      " [  8.45031631e-04]\n",
      " [  4.40554580e-04]\n",
      " [  4.53382930e-04]\n",
      " [  5.57736732e-04]\n",
      " [  2.13978889e-04]\n",
      " [  2.23442397e-04]\n",
      " [  5.23179887e-04]\n",
      " [  5.01065919e-04]\n",
      " [  4.34470928e-04]\n",
      " [  4.47113669e-04]\n",
      " [  2.62986790e-04]\n",
      " [  4.82097426e-04]\n",
      " [ -3.82502846e-05]\n",
      " [  5.28395341e-04]\n",
      " [  4.43337162e-04]\n",
      " [  4.87319388e-04]\n",
      " [ -1.23698946e-04]\n",
      " [  4.26917030e-04]\n",
      " [  1.37278616e-05]\n",
      " [  3.75201849e-04]\n",
      " [  3.05725756e-04]\n",
      " [ -3.45602570e-04]\n",
      " [  1.97858838e-04]\n",
      " [  2.02352944e-04]\n",
      " [  5.20431852e-04]\n",
      " [  1.03545899e-04]\n",
      " [  3.55727817e-04]\n",
      " [  3.89221610e-04]\n",
      " [  2.33841646e-04]\n",
      " [  2.49589606e-04]\n",
      " [  3.74986103e-04]\n",
      " [  4.51987377e-04]\n",
      " [  2.89675785e-04]\n",
      " [  3.37898341e-04]\n",
      " [  3.52017800e-04]\n",
      " [  1.06017293e-04]\n",
      " [  3.35236165e-04]\n",
      " [  4.64748896e-04]\n",
      " [  4.07893706e-04]\n",
      " [  1.72495815e-04]\n",
      " [  3.93774114e-04]\n",
      " [  3.79118812e-04]\n",
      " [  5.56221797e-04]\n",
      " [  3.35367831e-04]\n",
      " [  5.12095718e-04]\n",
      " [  6.49149790e-04]\n",
      " [  3.60542001e-04]\n",
      " [  5.03260293e-04]\n",
      " [  3.29431614e-04]\n",
      " [ -1.73368401e-04]\n",
      " [  3.70679873e-04]\n",
      " [  2.61455964e-04]\n",
      " [  2.31855431e-04]\n",
      " [  3.64003637e-04]\n",
      " [  4.91850559e-04]\n",
      " [  2.71869158e-04]\n",
      " [  3.39318759e-04]\n",
      " [  5.57202021e-04]\n",
      " [  5.39483525e-04]\n",
      " [  1.11130199e-04]\n",
      " [  2.58470707e-04]\n",
      " [  1.62109969e-04]\n",
      " [  3.52378130e-04]\n",
      " [  4.97647658e-04]\n",
      " [  5.43330176e-04]\n",
      " [  5.44130457e-04]\n",
      " [  4.26436730e-04]\n",
      " [  2.84344988e-04]\n",
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      " [  2.34616670e-04]\n",
      " [  3.65935460e-04]\n",
      " [  2.97032020e-04]\n",
      " [ -1.23883200e-04]\n",
      " [ -6.06747421e-05]\n",
      " [ -3.03676172e-04]\n",
      " [  5.01755497e-04]\n",
      " [  4.48485853e-04]\n",
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      " [  2.30139920e-04]\n",
      " [  4.49013871e-04]\n",
      " [  4.96674920e-04]\n",
      " [ -6.60870330e-05]\n",
      " [  4.33409016e-04]\n",
      " [  2.66067012e-04]\n",
      " [  1.15908579e-04]\n",
      " [  5.17140810e-04]\n",
      " [  4.03942335e-04]\n",
      " [  2.82934135e-04]\n",
      " [  7.37329731e-05]\n",
      " [  6.10461790e-04]]\n",
      "CAE_OCSVM_Linear- [[ -4.33947989e-04]\n",
      " [ -1.74776428e-03]\n",
      " [  2.84897120e-04]\n",
      " [ -3.16935002e-04]\n",
      " [ -5.62175715e-04]\n",
      " [  1.59637254e-04]\n",
      " [  9.53128685e-05]\n",
      " [  6.14644255e-06]\n",
      " [ -4.96639037e-04]\n",
      " [ -8.61840989e-04]\n",
      " [ -4.59928854e-04]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/usps/CAE_OCSVM_Linear.csv\n",
      "Finished cae_ocsvm-linear\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "[[  3.20326524e-03]\n",
      " [  2.12419016e-03]\n",
      " [  3.25229919e-03]\n",
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      " [  4.62195373e-03]\n",
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      " [  5.49365453e-03]\n",
      " [  8.51591431e-04]\n",
      " [  4.20108712e-03]]\n",
      "[[ 0.00024726]\n",
      " [-0.00092933]\n",
      " [-0.00016169]\n",
      " [ 0.00175059]\n",
      " [-0.00189196]\n",
      " [-0.00131599]\n",
      " [-0.00089774]\n",
      " [-0.00111454]\n",
      " [-0.00317329]\n",
      " [ 0.00134252]\n",
      " [-0.00064306]]\n",
      "CAE_OCSVM_RBF+ [[  3.20326524e-03]\n",
      " [  2.12419016e-03]\n",
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      " [  3.27532257e-03]\n",
      " [  4.48916774e-03]\n",
      " [  3.66420438e-03]\n",
      " [  5.34721249e-03]\n",
      " [  4.94390051e-03]\n",
      " [  2.79609321e-03]\n",
      " [  4.88605778e-03]\n",
      " [  2.94933178e-03]\n",
      " [  1.94928484e-03]\n",
      " [  4.86566355e-03]\n",
      " [  2.20812048e-03]\n",
      " [  3.10176824e-04]\n",
      " [  1.37433891e-03]\n",
      " [  1.08402832e-03]\n",
      " [  5.50989054e-03]\n",
      " [  2.74566891e-03]\n",
      " [  4.17508866e-03]\n",
      " [  9.39021637e-04]\n",
      " [  4.62195373e-03]\n",
      " [  6.31800218e-03]\n",
      " [  1.26278624e-03]\n",
      " [  4.13263140e-03]\n",
      " [  2.56813397e-03]\n",
      " [ -2.31492131e-05]\n",
      " [  3.97828141e-05]\n",
      " [  4.20449036e-03]\n",
      " [  5.49365453e-03]\n",
      " [  8.51591431e-04]\n",
      " [  4.20108712e-03]]\n",
      "CAE_OCSVM_RBF- [[ 0.00024726]\n",
      " [-0.00092933]\n",
      " [-0.00016169]\n",
      " [ 0.00175059]\n",
      " [-0.00189196]\n",
      " [-0.00131599]\n",
      " [-0.00089774]\n",
      " [-0.00111454]\n",
      " [-0.00317329]\n",
      " [ 0.00134252]\n",
      " [-0.00064306]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/usps/CAE_OCSVM_RBF.csv\n",
      "Finished cae_ocsvm-rbf\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/trainTest_Time/usps_trainTest.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 0.9970\n",
      "Average precision-recall score: 0.9952\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 0.9962\n",
      "Average precision-recall score: 0.9977\n",
      "Average precision-recall score: 0.8866\n",
      "Average precision-recall score: 0.9997\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 0.9682\n",
      "ROC  score: 0.9500\n",
      "ROC  score: 0.9996\n",
      "ROC  score: 0.9996\n",
      "ROC  score: 0.9996\n",
      "ROC  score: 0.9322\n",
      "ROC  score: 0.9562\n",
      "ROC  score: 0.1310\n",
      "ROC  score: 0.9946\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a38bacfd0>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1262,
       "width": 1151
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from load_datasets import prepare_usps_mlfetch,prepare_usps_data_for_ae2_svdd,prepare_usps_data_for_cae_svdd\n",
    "from metrics import au_prc,compute_au_prc,compute_au_roc,compute_prec_at_10\n",
    "## Import all the datasets and prepare the Training and test set for respective datasets\n",
    "[Xtrue_usps,Xlabels_usps] = prepare_usps_mlfetch()\n",
    "\n",
    "ae2_modelpath = cwd+\"/models/transfer_learning/cae_autoencoders/trained_models/usps_AE2_3_id_32_e_1000_encoder.model\"\n",
    "cae_modelpath = cwd+\"/models/transfer_learning/cae_autoencoders/trained_models/usps_conv_ae_3_id_32_e_1000_encoder.model\"\n",
    "\n",
    "### Prepare training and test set for respective datasets\n",
    "# USPS Train and Test Data\n",
    "data_train_usps    = Xtrue_usps[0:220]\n",
    "data_test_usps     = Xtrue_usps [220:231]\n",
    "targets_train_usps = Xlabels_usps[0:220]\n",
    "targets_test_usps  = Xlabels_usps[220:231]\n",
    "\n",
    "[data_train_ae2,  data_test_ae2] =  prepare_usps_data_for_ae2_svdd(data_train_usps,data_test_usps,ae2_modelpath) \n",
    "[data_train_cae,  data_test_cae] =  prepare_usps_data_for_cae_svdd(data_train_usps,data_test_usps,cae_modelpath) \n",
    "\n",
    "print (\"USPS      : (Normal, Anomalies) dimensions: \",data_train_usps.shape,data_test_usps.shape)\n",
    "\n",
    "##  Models implemented \n",
    "from usps_models import func_getDecision_Scores_usps\n",
    "\n",
    "### PLotting functions for the methods implemented\n",
    "from plot_usps_scores import plot_decision_scores_USPS\n",
    "\n",
    "## Loop over the datasets , method , activations and collect the results in respective dataframes\n",
    "dataset = \"USPS\"\n",
    "\n",
    "# Call the function to compute the decision scores\n",
    "df_usps_scores = func_getDecision_Scores_usps(dataset,data_train_usps,data_test_usps,data_train_ae2,data_test_ae2,data_train_cae,data_test_cae)\n",
    "            \n",
    "# Plotting decision\n",
    "plot_decision_scores_USPS(dataset,df_usps_scores)\n",
    "\n",
    "## Obtain the Metrics AUPRC, AUROC, P@10\n",
    "y_true_pos = np.ones(data_train_usps.shape[0])\n",
    "y_true_neg = np.zeros(data_test_usps.shape[0])\n",
    "y_true = np.concatenate((y_true_pos,y_true_neg))\n",
    "\n",
    "au_prc_scores = compute_au_prc(y_true,df_usps_scores)\n",
    "au_roc_scores = compute_au_roc(y_true,df_usps_scores)\n",
    "P_10_score =compute_prec_at_10(y_true,df_usps_scores)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "========================================\n",
      "USPS : Metrics\n",
      "========================================\n",
      "                     AUPRC     AUROC  P@10\n",
      "Methods                                   \n",
      "OC-NN-Linear      0.999979  0.999587   1.0\n",
      "OC-NN-Sigmoid     0.999979  0.999587   1.0\n",
      "OC-NN-Relu        0.999979  0.999587   1.0\n",
      "CAE-OCSVM-Linear  0.996195  1.000000   1.0\n",
      "CAE-OCSVM-RBF     0.997745  0.932231   1.0\n",
      "AE-SVDD-Linear    0.886594  0.956198   1.0\n",
      "AE-SVDD-RBF       0.999739  0.130992   1.0\n",
      "OCSVM-Linear      1.000000  0.994628   1.0\n",
      "OCSVM-RBF         1.000000  1.000000   1.0\n",
      "RPCA_OCSVM        0.996970  0.968182   0.9\n",
      "Isolation_Forest  0.995238  0.950000   0.9\n"
     ]
    }
   ],
   "source": [
    "#### Metrics for USPS Dataset\n",
    "## PFAM Metrics\n",
    "print '='*40\n",
    "print \"USPS : Metrics\"\n",
    "print '='*40\n",
    "methods = ['OC-NN-Linear', 'OC-NN-Sigmoid','OC-NN-Relu','CAE-OCSVM-Linear','CAE-OCSVM-RBF','AE-SVDD-Linear','AE-SVDD-RBF','OCSVM-Linear','OCSVM-RBF','RPCA_OCSVM','Isolation_Forest' ]\n",
    "import pandas as pd\n",
    "df = pd.DataFrame(\n",
    "    {'AUPRC': au_prc_scores,\n",
    "     'AUROC': au_roc_scores,\n",
    "     'P@10': P_10_score,\n",
    "     'Methods':methods\n",
    "    })\n",
    "df = df.set_index('Methods')\n",
    "print df.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Experiments : PFAM Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Couldn't import dot_parser, loading of dot files will not be possible.\n",
      "/Users/raghav/Documents/Uni/oc-nn-bak\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING (theano.configdefaults): install mkl with `conda install mkl-service`: No module named mkl\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "SSAEQSFLFSREEADTLRLK\n",
      "MIREERLLKVLRAPHVSEKA\n",
      "MIKLTVSHHKLTASGHALFA\n",
      "STDNTTSSDLIKNVETARST\n",
      "MKIVMKISEVRGEILLAAAD\n",
      "MLQPPFNIKVTNITLTTAVV\n",
      "MATSLDRDKEAVLRALRPYL\n",
      "GAHVSRVEKLPKDYQIVYKE\n",
      "TAPIAITCFTRGLDIRKEKA\n",
      "MEFQKKKQKVIQVKEIKFRP\n",
      "MEVQSMLLNDVKWEKPVTIS\n",
      "MTKLALFVRLEAKPGQEAAL\n",
      "SQKPCKENEGKPKCSVPKRE\n",
      "MNDQRKKARNTPFNMLKRER\n",
      "MYVTIVYASVKTDKTEAFKE\n",
      "MEFTAEQLSQYNGTDESKPI\n",
      "PITDERVYESIGHYGGETVK\n",
      "DADPTFDFIGYLETLPQTSG\n",
      "LKDVLNILLMDEISKLKDFL\n",
      "MSANQEEDKKPGDGGAHINL\n",
      "MKIVAVTACPTGIAHTYMAA\n",
      "HKEFAVTMRPTEASERCHLR\n",
      "LGKFSQTCYNSAIQGSVLTS\n",
      "MVASHSFEASILAYVLATEL\n",
      "EDRVGERRIMIDKKEAIEHF\n",
      "EDRVGERRIMIDKKEAIEHF\n",
      "EDRVGERRIMIDKKEAIEHF\n",
      "EDRVGERRIMIDKKEAIEHF\n",
      "EDRVGERRIMIDKKEAIEHF\n",
      "AAAAAAAAAAAAAAAAAAAA\n",
      "AAAAAAAAAAAAAAAAAAAA\n",
      "AAAAAAAAAAAAAAAAAAAA\n",
      "AAAAAAAAAAAAAAAAAAAA\n",
      "AAAAAAAAAAAAAAAAAAAA\n",
      "(64, 100)\n",
      "Encoded Training samples: (50, 100)\n",
      "Encoded Testing samples: (5, 100)\n",
      "(50, 100)\n",
      "(5, 100)\n",
      "(50, 100)\n",
      "(5, 100)\n",
      "[INFO] loading network...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/raghav/anaconda/lib/python2.7/site-packages/keras/models.py:252: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.\n",
      "  warnings.warn('No training configuration found in save file: '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "base_model.output (?, 32)\n",
      "base_model.input (?, 100)\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_1 (InputLayer)         (None, 100)               0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 64)                6464      \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 32)                2080      \n",
      "_________________________________________________________________\n",
      "dense_output1 (Dense)        (None, 16)                528       \n",
      "_________________________________________________________________\n",
      "output_activation1 (Activati (None, 16)                0         \n",
      "_________________________________________________________________\n",
      "dense_output2 (Dense)        (None, 1)                 17        \n",
      "_________________________________________________________________\n",
      "output_activation2 (Activati (None, 1)                 0         \n",
      "=================================================================\n",
      "Total params: 9,089\n",
      "Trainable params: 9,089\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n",
      "Length of model layers... 7\n",
      "[INFO] loading images for training...\n",
      "Encoded Training samples: (50, 240)\n",
      "Encoded Testing samples: (5, 240)\n",
      "(50, 240)\n",
      "(5, 240)\n",
      "(50, 240)\n",
      "(5, 240)\n",
      "('[INFO] PFAM DATA : (Normal, Anomalies) dimensions: ', (50, 240), (5, 240))\n",
      "Calling..... <function func_getDecision_Scores_pfam at 0x1a24efe8c0>\n",
      "(50, 240)\n",
      "(5, 240)\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "[[ -3.41730697e+02]\n",
      " [ -2.43251070e+02]\n",
      " [ -3.48867044e+02]\n",
      " [ -2.78253498e+01]\n",
      " [  6.34912340e-07]\n",
      " [ -1.19915078e+02]\n",
      " [  5.08960967e+01]\n",
      " [  5.24899839e+01]\n",
      " [ -1.99462633e+01]\n",
      " [  7.71098331e+01]\n",
      " [  9.52040099e+01]\n",
      " [  4.88252554e+01]\n",
      " [  6.55778124e+01]\n",
      " [  1.15604758e+02]\n",
      " [  1.84503989e+01]\n",
      " [  6.75775343e+01]\n",
      " [  1.16181246e+02]\n",
      " [  2.89749717e+01]\n",
      " [  5.86699689e+01]\n",
      " [  1.48946566e+02]\n",
      " [  3.31326519e+01]\n",
      " [  6.65596445e+01]\n",
      " [  1.23830417e+02]\n",
      " [  1.35557809e+01]\n",
      " [  7.37166394e+01]\n",
      " [  1.17301833e+02]\n",
      " [  2.62378003e+01]\n",
      " [  3.18301645e+01]\n",
      " [  9.90857328e+01]\n",
      " [  2.73592128e+01]\n",
      " [  7.32974877e+01]\n",
      " [  1.01133943e+02]\n",
      " [  4.47184130e+01]\n",
      " [  6.23484602e+01]\n",
      " [  8.14796726e+01]\n",
      " [  4.39229098e-09]\n",
      " [  9.14927934e+01]\n",
      " [  3.95003746e+01]\n",
      " [ -5.69956603e+00]\n",
      " [  5.34499301e+01]\n",
      " [  7.68326930e+01]\n",
      " [  8.67963923e+00]\n",
      " [  8.46259708e+00]\n",
      " [  4.10769843e+01]\n",
      " [ -3.58187500e+01]\n",
      " [  4.13917346e+01]\n",
      " [  9.14799224e+01]\n",
      " [ -9.66584147e+01]\n",
      " [  3.04219663e+01]\n",
      " [  1.03441418e+01]]\n",
      "[[ -68.94446861]\n",
      " [-101.47279655]\n",
      " [ -56.08289375]\n",
      " [-125.58259563]\n",
      " [-105.13606792]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/pfam/LSTM_OCSVM_Linear.csv\n",
      "Finished lstm_ocsvmlinear\n",
      "(50, 240)\n",
      "(5, 240)\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "[[ -1.02194589e-01]\n",
      " [  2.38023064e-04]\n",
      " [ -9.73234226e-02]\n",
      " [  2.34744366e-01]\n",
      " [  3.18840955e-01]\n",
      " [  3.19081042e-01]\n",
      " [  1.99720802e-01]\n",
      " [  2.43068727e-01]\n",
      " [  1.57756747e-01]\n",
      " [  4.06248555e-02]\n",
      " [  1.45804018e-01]\n",
      " [  9.79566067e-03]\n",
      " [  4.96444541e-02]\n",
      " [  4.47433553e-02]\n",
      " [  7.58581982e-02]\n",
      " [  7.16830767e-06]\n",
      " [  1.21240048e-01]\n",
      " [  8.14573140e-02]\n",
      " [  8.84550162e-02]\n",
      " [  1.25572781e-01]\n",
      " [  1.26720989e-01]\n",
      " [  1.27824237e-04]\n",
      " [  9.78168799e-02]\n",
      " [  3.89106464e-02]\n",
      " [  7.57190023e-05]\n",
      " [  1.42741638e-01]\n",
      " [  1.13454240e-01]\n",
      " [  1.37374069e-04]\n",
      " [ -5.22229314e-05]\n",
      " [ -2.73095519e-04]\n",
      " [ -2.57119007e-04]\n",
      " [  5.62359103e-02]\n",
      " [  5.19096081e-03]\n",
      " [  3.11771547e-02]\n",
      " [  1.19126893e-01]\n",
      " [  1.04458838e-04]\n",
      " [  3.08717765e-02]\n",
      " [ -3.85616098e-04]\n",
      " [  8.44209446e-02]\n",
      " [  7.05233021e-03]\n",
      " [  7.28593249e-02]\n",
      " [  9.74558141e-05]\n",
      " [  3.83838658e-02]\n",
      " [  8.76223405e-03]\n",
      " [  2.03015187e-04]\n",
      " [ -2.26253310e-04]\n",
      " [  1.02723548e-01]\n",
      " [ -1.12821647e-01]\n",
      " [  2.03175827e-04]\n",
      " [ -7.01650649e-02]]\n",
      "[[-0.07895221]\n",
      " [-0.09101107]\n",
      " [-0.38623039]\n",
      " [-0.25606091]\n",
      " [-0.14415955]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/pfam/LSTM_OCSVM_RBF.csv\n",
      "Finished lstm_ocsvm-rbf\n",
      "Input Shape: 240\n",
      "Epoch = 1, r = 12.323595\n",
      "Epoch = 2, r = 49.946976\n",
      "Epoch = 3, r = 98.322760\n",
      "Epoch = 4, r = 166.563419\n",
      "Epoch = 5, r = 254.887030\n",
      "Epoch = 6, r = 370.594305\n",
      "Epoch = 7, r = 513.840405\n",
      "Epoch = 8, r = 690.228723\n",
      "Epoch = 9, r = 898.129932\n",
      "Epoch = 10, r = 1144.369824\n",
      "Epoch = 11, r = 1425.037109\n",
      "Epoch = 12, r = 1744.690430\n",
      "Epoch = 13, r = 2104.736523\n",
      "Epoch = 14, r = 2514.262012\n",
      "Epoch = 15, r = 2964.128076\n",
      "Epoch = 16, r = 3454.430322\n",
      "Epoch = 17, r = 3993.965674\n",
      "Epoch = 18, r = 4586.193164\n",
      "Epoch = 19, r = 5232.992871\n",
      "Epoch = 20, r = 5932.404395\n",
      "Epoch = 21, r = 6677.691504\n",
      "Epoch = 22, r = 7491.672070\n",
      "Epoch = 23, r = 8357.566016\n",
      "Epoch = 24, r = 9280.217969\n",
      "Epoch = 25, r = 10271.901953\n",
      "Epoch = 26, r = 11312.170312\n",
      "Epoch = 27, r = 12432.755664\n",
      "Epoch = 28, r = 13608.521289\n",
      "Epoch = 29, r = 14851.956641\n",
      "Epoch = 30, r = 16171.592188\n",
      "Epoch = 31, r = 17540.506641\n",
      "Epoch = 32, r = 18993.460156\n",
      "Epoch = 33, r = 20513.816797\n",
      "Epoch = 34, r = 22118.751562\n",
      "Epoch = 35, r = 23801.035937\n",
      "Epoch = 36, r = 25532.978906\n",
      "Epoch = 37, r = 27352.810937\n",
      "Epoch = 38, r = 29255.657031\n",
      "Epoch = 39, r = 31260.047266\n",
      "Epoch = 40, r = 33343.067969\n",
      "Epoch = 41, r = 35474.707812\n",
      "Epoch = 42, r = 37699.093750\n",
      "Epoch = 43, r = 40019.129687\n",
      "Epoch = 44, r = 42455.645312\n",
      "Epoch = 45, r = 44971.610938\n",
      "Epoch = 46, r = 47532.458594\n",
      "Epoch = 47, r = 50187.453125\n",
      "Epoch = 48, r = 52950.710938\n",
      "Epoch = 49, r = 55847.947656\n",
      "Epoch = 50, r = 58821.239062\n",
      "Epoch = 51, r = 61833.596094\n",
      "Epoch = 52, r = 64935.867188\n",
      "Epoch = 53, r = 68162.771875\n",
      "Epoch = 54, r = 71545.287500\n",
      "Epoch = 55, r = 74994.643750\n",
      "Epoch = 56, r = 78475.489062\n",
      "Epoch = 57, r = 82036.790625\n",
      "Epoch = 58, r = 85742.937500\n",
      "Epoch = 59, r = 89629.634375\n",
      "Epoch = 60, r = 93568.731250\n",
      "Epoch = 61, r = 97530.195312\n",
      "Epoch = 62, r = 101558.359375\n",
      "Epoch = 63, r = 105755.034375\n",
      "Epoch = 64, r = 110160.732813\n",
      "Epoch = 65, r = 114600.578125\n",
      "Epoch = 66, r = 119052.996875\n",
      "Epoch = 67, r = 123554.414062\n",
      "Epoch = 68, r = 128251.746875\n",
      "Epoch = 69, r = 133190.568750\n",
      "Epoch = 70, r = 138140.593750\n",
      "Epoch = 71, r = 143092.293750\n",
      "Epoch = 72, r = 148069.959375\n",
      "Epoch = 73, r = 153280.325000\n",
      "Epoch = 74, r = 158618.481250\n",
      "Epoch = 75, r = 164019.071875\n",
      "Epoch = 76, r = 169530.359375\n",
      "Epoch = 77, r = 175287.993750\n",
      "Epoch = 78, r = 181039.021875\n",
      "Epoch = 79, r = 186776.831250\n",
      "Epoch = 80, r = 192672.609375\n",
      "Epoch = 81, r = 198706.318750\n",
      "Epoch = 82, r = 204880.793750\n",
      "Epoch = 83, r = 211180.868750\n",
      "Epoch = 84, r = 217456.300000\n",
      "Epoch = 85, r = 223876.437500\n",
      "Epoch = 86, r = 230420.378125\n",
      "Epoch = 87, r = 237191.118750\n",
      "Epoch = 88, r = 244034.693750\n",
      "Epoch = 89, r = 250837.137500\n",
      "Epoch = 90, r = 257647.906250\n",
      "Epoch = 91, r = 264725.487500\n",
      "Epoch = 92, r = 271924.900000\n",
      "Epoch = 93, r = 279231.125000\n",
      "Epoch = 94, r = 286606.612500\n",
      "Epoch = 95, r = 294110.812500\n",
      "Epoch = 96, r = 301681.781250\n",
      "Epoch = 97, r = 309669.725000\n",
      "Epoch = 98, r = 317618.543750\n",
      "Epoch = 99, r = 325490.743750\n",
      "Epoch = 100, r = 333297.612500\n",
      "Session Closed!!!\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/pfam//OneClass_LSTM_AE_NN_linear.csv\n",
      "Finished tf_OneClass_NN_linear\n",
      "Input Shape: 240\n",
      "Epoch = 1, r = 1.795513\n",
      "Epoch = 2, r = 2.821899\n",
      "Epoch = 3, r = 3.979203\n",
      "Epoch = 4, r = 5.558083\n",
      "Epoch = 5, r = 7.566402\n",
      "Epoch = 6, r = 9.632273\n",
      "Epoch = 7, r = 11.327581\n",
      "Epoch = 8, r = 12.774111\n",
      "Epoch = 9, r = 14.030242\n",
      "Epoch = 10, r = 15.413544\n",
      "Epoch = 11, r = 16.976271\n",
      "Epoch = 12, r = 18.435328\n",
      "Epoch = 13, r = 19.904655\n",
      "Epoch = 14, r = 21.002391\n",
      "Epoch = 15, r = 22.012817\n",
      "Epoch = 16, r = 23.021282\n",
      "Epoch = 17, r = 23.946541\n",
      "Epoch = 18, r = 24.714459\n",
      "Epoch = 19, r = 25.330853\n",
      "Epoch = 20, r = 25.740436\n",
      "Epoch = 21, r = 25.955335\n",
      "Epoch = 22, r = 26.049654\n",
      "Epoch = 23, r = 26.089509\n",
      "Epoch = 24, r = 26.100700\n",
      "Epoch = 25, r = 26.007161\n",
      "Epoch = 26, r = 25.788527\n",
      "Epoch = 27, r = 25.513996\n",
      "Epoch = 28, r = 25.221985\n",
      "Epoch = 29, r = 24.865609\n",
      "Epoch = 30, r = 24.474458\n",
      "Epoch = 31, r = 24.041994\n",
      "Epoch = 32, r = 23.596977\n",
      "Epoch = 33, r = 23.175422\n",
      "Epoch = 34, r = 22.826839\n",
      "Epoch = 35, r = 22.502687\n",
      "Epoch = 36, r = 22.168045\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch = 37, r = 21.834959\n",
      "Epoch = 38, r = 21.558903\n",
      "Epoch = 39, r = 21.353713\n",
      "Epoch = 40, r = 21.184084\n",
      "Epoch = 41, r = 21.077726\n",
      "Epoch = 42, r = 20.976840\n",
      "Epoch = 43, r = 20.900908\n",
      "Epoch = 44, r = 20.892878\n",
      "Epoch = 45, r = 20.914057\n",
      "Epoch = 46, r = 20.963924\n",
      "Epoch = 47, r = 21.013471\n",
      "Epoch = 48, r = 21.058981\n",
      "Epoch = 49, r = 21.153748\n",
      "Epoch = 50, r = 21.279559\n",
      "Epoch = 51, r = 21.392719\n",
      "Epoch = 52, r = 21.488014\n",
      "Epoch = 53, r = 21.584940\n",
      "Epoch = 54, r = 21.654670\n",
      "Epoch = 55, r = 21.750056\n",
      "Epoch = 56, r = 21.846956\n",
      "Epoch = 57, r = 21.914571\n",
      "Epoch = 58, r = 21.958699\n",
      "Epoch = 59, r = 22.003545\n",
      "Epoch = 60, r = 22.015671\n",
      "Epoch = 61, r = 22.041510\n",
      "Epoch = 62, r = 22.074758\n",
      "Epoch = 63, r = 22.081212\n",
      "Epoch = 64, r = 22.055808\n",
      "Epoch = 65, r = 22.050155\n",
      "Epoch = 66, r = 22.034919\n",
      "Epoch = 67, r = 22.043457\n",
      "Epoch = 68, r = 22.027606\n",
      "Epoch = 69, r = 21.980585\n",
      "Epoch = 70, r = 21.967075\n",
      "Epoch = 71, r = 21.978794\n",
      "Epoch = 72, r = 21.965138\n",
      "Epoch = 73, r = 21.928571\n",
      "Epoch = 74, r = 21.895568\n",
      "Epoch = 75, r = 21.911525\n",
      "Epoch = 76, r = 21.939005\n",
      "Epoch = 77, r = 21.920105\n",
      "Epoch = 78, r = 21.886632\n",
      "Epoch = 79, r = 21.906706\n",
      "Epoch = 80, r = 21.899771\n",
      "Epoch = 81, r = 21.913336\n",
      "Epoch = 82, r = 21.898487\n",
      "Epoch = 83, r = 21.896367\n",
      "Epoch = 84, r = 21.918528\n",
      "Epoch = 85, r = 21.897333\n",
      "Epoch = 86, r = 21.922093\n",
      "Epoch = 87, r = 21.902401\n",
      "Epoch = 88, r = 21.905172\n",
      "Epoch = 89, r = 21.913132\n",
      "Epoch = 90, r = 21.890588\n",
      "Epoch = 91, r = 21.883375\n",
      "Epoch = 92, r = 21.901808\n",
      "Epoch = 93, r = 21.891396\n",
      "Epoch = 94, r = 21.902374\n",
      "Epoch = 95, r = 21.897236\n",
      "Epoch = 96, r = 21.871014\n",
      "Epoch = 97, r = 21.893238\n",
      "Epoch = 98, r = 21.913861\n",
      "Epoch = 99, r = 21.901826\n",
      "Epoch = 100, r = 21.878296\n",
      "Session Closed!!!\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/pfam//OneClass_LSTM_AE_NN_Sigmoid.csv\n",
      "Finished tf_OneClass_NN_sigmoid\n",
      "Input Shape: 240\n",
      "Epoch = 1, r = 0.420843\n",
      "Epoch = 2, r = 0.825383\n",
      "Epoch = 3, r = 1.255893\n",
      "Epoch = 4, r = 1.787974\n",
      "Epoch = 5, r = 2.364619\n",
      "Epoch = 6, r = 3.078500\n",
      "Epoch = 7, r = 3.905254\n",
      "Epoch = 8, r = 4.894769\n",
      "Epoch = 9, r = 6.055221\n",
      "Epoch = 10, r = 7.412492\n",
      "Session Closed!!!\n",
      "Finished tf_OneClass_NN_sigmoid\n",
      "[[  9.83761124e+00]\n",
      " [ -3.26653519e+00]\n",
      " [  2.46453122e-04]\n",
      " [  1.78779156e+01]\n",
      " [  6.83425306e+00]\n",
      " [  3.63993976e+00]\n",
      " [  1.56005967e+00]\n",
      " [  3.21803136e+00]\n",
      " [  8.49347861e+00]\n",
      " [ -2.14487128e+00]\n",
      " [ -2.95947463e-04]\n",
      " [  4.98895196e+01]\n",
      " [  7.28212973e-05]\n",
      " [  5.47602051e-02]\n",
      " [  1.25196718e+01]\n",
      " [  3.32170296e-05]\n",
      " [  2.08995721e+01]\n",
      " [  1.09618556e+01]\n",
      " [  5.13386511e+00]\n",
      " [  1.91994209e+01]\n",
      " [  8.60759514e+00]\n",
      " [  5.42783777e+00]\n",
      " [  1.55416091e+01]\n",
      " [  9.72864686e+00]\n",
      " [  9.00697266e+00]\n",
      " [  9.96364900e+00]\n",
      " [  1.50988734e+01]\n",
      " [ -1.81713231e+00]\n",
      " [  9.16631458e-01]\n",
      " [  1.16841458e+00]\n",
      " [  2.02658145e+00]\n",
      " [ -5.77951565e-01]\n",
      " [  1.05450372e+01]\n",
      " [  1.65425515e+01]\n",
      " [  3.71075471e+00]\n",
      " [  6.05245945e+00]\n",
      " [  8.89709154e-05]\n",
      " [  2.15811126e+00]\n",
      " [ -1.91011818e+00]\n",
      " [  9.81567699e+00]\n",
      " [  5.54231543e+00]\n",
      " [ -1.42682918e+00]\n",
      " [  2.59543200e+01]\n",
      " [  6.42716277e+00]\n",
      " [  9.61631497e+00]\n",
      " [  1.47436097e+01]\n",
      " [  8.01864751e-05]\n",
      " [  8.27519956e-05]\n",
      " [  1.87799773e+00]\n",
      " [ -3.12658492e-04]]\n",
      "[[ 20.41982294]\n",
      " [ 20.41982294]\n",
      " [ 20.41982294]\n",
      " [ 20.41982294]\n",
      " [ 20.41982294]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/ocsvm_linear.csv\n",
      "Finished sklearn_OCSVM_linear\n",
      "pos_decisionScore [[  1.64059092e-01]\n",
      " [  2.11042960e-01]\n",
      " [  3.57244145e-01]\n",
      " [  1.94794997e-01]\n",
      " [  1.30898831e-04]\n",
      " [  2.81250380e-01]\n",
      " [ -2.25584827e-02]\n",
      " [ -1.72237711e-04]\n",
      " [  1.79197893e-01]\n",
      " [  4.13042329e-01]\n",
      " [  1.80662795e-01]\n",
      " [  3.50310736e-04]\n",
      " [  1.70766212e-01]\n",
      " [ -1.88610368e-01]\n",
      " [  6.06388890e-03]\n",
      " [  2.03809639e-01]\n",
      " [ -2.71067606e-04]\n",
      " [ -3.90545804e-01]\n",
      " [  3.29417157e-01]\n",
      " [  2.86431995e-01]\n",
      " [  2.75745471e-01]\n",
      " [  6.74236339e-02]\n",
      " [  5.22298281e-03]\n",
      " [ -1.22029956e-01]\n",
      " [  2.86602817e-01]\n",
      " [  1.41091676e-01]\n",
      " [  3.83635524e-04]\n",
      " [  3.05102552e-02]\n",
      " [  5.15509103e-01]\n",
      " [  1.16779839e-01]\n",
      " [  3.59177935e-01]\n",
      " [  1.83795557e-01]\n",
      " [  3.20941819e-01]\n",
      " [  7.77338254e-02]\n",
      " [  3.08340333e-01]\n",
      " [  1.16340088e-01]\n",
      " [  2.20154767e-01]\n",
      " [  1.59669183e-01]\n",
      " [  2.87707767e-01]\n",
      " [ -7.72841714e-02]\n",
      " [  2.05466256e-01]\n",
      " [  3.74904530e-01]\n",
      " [ -1.69524549e-04]\n",
      " [ -5.80322033e-05]\n",
      " [ -2.17638100e-05]\n",
      " [  2.06478649e-01]\n",
      " [ -1.72329954e-04]\n",
      " [  3.04156373e-01]\n",
      " [  7.38658786e-02]\n",
      " [  2.78626389e-01]]\n",
      "neg_decisionScore [[ 0.11332708]\n",
      " [ 0.11332708]\n",
      " [ 0.11332708]\n",
      " [ 0.11332708]\n",
      " [ 0.11332708]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/ocsvm_rbf.csv\n",
      "Finished sklearn_OCSVM_RBF\n",
      "sklearn__RPCA_OCSVM======== (50, 100)\n",
      "iteration: 1, error: 81.201029714\n",
      "iteration: 31, error: 0.00019156520142\n",
      "iteration: 1, error: 3.59905532909\n",
      "iteration: 9, error: 2.41167368594e-05\n",
      "sklearn__RPCA_OCSVM======== (50, 100)\n",
      "iteration: 1, error: 81.201029714\n",
      "iteration: 31, error: 0.00019156520142\n",
      "iteration: 1, error: 3.59905532909\n",
      "iteration: 9, error: 2.41167368594e-05\n",
      "Finished rpca_ocsvm\n",
      "sklearn_IsolationForest==== (50, 100)\n",
      "Finished isolation-forest\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "AE_OCSVM_RBF+ [[  6.73717722e+00]\n",
      " [ -3.54726190e-04]\n",
      " [  7.08758711e+00]\n",
      " [  8.67477807e+00]\n",
      " [  4.69680323e+00]\n",
      " [ -4.79534257e+00]\n",
      " [  7.74479935e+00]\n",
      " [  2.47883935e+00]\n",
      " [  2.26725075e+00]\n",
      " [  3.44077978e+00]\n",
      " [ -7.42656705e-01]\n",
      " [  2.98414782e+01]\n",
      " [  6.59660813e+00]\n",
      " [  4.07009913e-04]\n",
      " [ -1.06178701e-04]\n",
      " [  1.91527073e+00]\n",
      " [  1.95143106e+01]\n",
      " [  9.09846588e-05]\n",
      " [  3.70828076e+00]\n",
      " [  1.20304275e+01]\n",
      " [  7.30012938e+00]\n",
      " [  3.48266284e+00]\n",
      " [  1.21544571e+01]\n",
      " [  3.16122188e+00]\n",
      " [  3.47203109e+00]\n",
      " [  5.61456276e+00]\n",
      " [  9.40509160e+00]\n",
      " [  1.21818483e+01]\n",
      " [  6.65129615e+00]\n",
      " [  1.92088910e+00]\n",
      " [  1.84934995e+00]\n",
      " [ -5.88697939e-01]\n",
      " [  7.74960783e+00]\n",
      " [ -1.29141413e-04]\n",
      " [  2.88172192e+00]\n",
      " [  1.68676311e+01]\n",
      " [  1.79974480e+00]\n",
      " [  7.08498315e+00]\n",
      " [ -5.43175566e+00]\n",
      " [  1.14165962e+00]\n",
      " [  4.49507679e+00]\n",
      " [  8.99184556e-05]\n",
      " [  1.52027198e+01]\n",
      " [ -7.04149731e-01]\n",
      " [  1.09093758e+01]\n",
      " [  6.76825611e+00]\n",
      " [ -3.42137117e-02]\n",
      " [  3.83114127e+00]\n",
      " [  9.62778675e+00]\n",
      " [ -5.09048605e+00]]\n",
      "AE_OCSVM_RBF- [[ 1.81207235]\n",
      " [ 1.81207235]\n",
      " [ 1.81207235]\n",
      " [ 1.81207235]\n",
      " [ 1.81207235]]\n",
      "Finished ae_svdd-linear\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "AE_OCSVM_RBF+ [[  2.99203017e-01]\n",
      " [  7.16045821e-01]\n",
      " [  9.07214958e-01]\n",
      " [  2.15374770e-01]\n",
      " [  2.59226932e-04]\n",
      " [  7.85195583e-01]\n",
      " [ -3.90819282e-02]\n",
      " [  4.20589486e-04]\n",
      " [  5.24551440e-01]\n",
      " [  9.11780513e-01]\n",
      " [  3.25838976e-01]\n",
      " [ -7.05008949e-02]\n",
      " [  4.38274256e-01]\n",
      " [ -1.12618525e-01]\n",
      " [  2.20924664e-01]\n",
      " [  4.06338937e-01]\n",
      " [  1.61687775e-01]\n",
      " [ -4.71253889e-01]\n",
      " [  9.36235780e-01]\n",
      " [  9.50651653e-01]\n",
      " [  7.15945892e-01]\n",
      " [  8.61573957e-02]\n",
      " [  3.65361859e-01]\n",
      " [ -1.24572908e+00]\n",
      " [  5.41630100e-01]\n",
      " [  4.78799126e-01]\n",
      " [ -5.25617234e-04]\n",
      " [ -8.05281210e-02]\n",
      " [  1.12930648e+00]\n",
      " [  4.72904804e-01]\n",
      " [  5.48532430e-01]\n",
      " [  6.56472190e-02]\n",
      " [  7.50777356e-01]\n",
      " [  3.56910570e-01]\n",
      " [  6.23626426e-01]\n",
      " [  2.92189003e-01]\n",
      " [  6.99428878e-01]\n",
      " [  7.68704383e-01]\n",
      " [  9.10460858e-01]\n",
      " [ -1.64439601e-01]\n",
      " [  1.99758831e-01]\n",
      " [  7.40690824e-01]\n",
      " [ -2.18198548e-04]\n",
      " [ -2.18186127e-04]\n",
      " [ -1.68197644e-01]\n",
      " [  5.86335757e-01]\n",
      " [  2.82051666e-04]\n",
      " [  8.68611653e-01]\n",
      " [  6.37536575e-01]\n",
      " [  6.88010531e-01]]\n",
      "AE_OCSVM_RBF- [[ 0.17326996]\n",
      " [ 0.17326996]\n",
      " [ 0.17326996]\n",
      " [ 0.17326996]\n",
      " [ 0.17326996]]\n",
      "Finished ae_svdd-rbf\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/trainTest_Time/pfam_trainTest.csv\n",
      "Average precision-recall score: 0.8124\n",
      "Average precision-recall score: 0.9553\n",
      "Average precision-recall score: 0.8929\n",
      "Average precision-recall score: 0.9818\n",
      "Average precision-recall score: 0.9009\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 0.9920\n",
      "Average precision-recall score: 0.9976\n",
      "Average precision-recall score: 0.9685\n",
      "Average precision-recall score: 0.9634\n",
      "ROC  score: 0.0600\n",
      "ROC  score: 0.6000\n",
      "ROC  score: 0.4000\n",
      "ROC  score: 0.9000\n",
      "ROC  score: 0.4500\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 0.9160\n",
      "ROC  score: 0.9760\n",
      "ROC  score: 0.7000\n",
      "ROC  score: 0.6600\n",
      "AUPRC: Scores: PFAM\n",
      "(ocsvm_lin,ocsvm_rbf,ocnn_lin,ocnn_sig,rpca_ocsvm,isolation_forest): 1.0 1.0 1.0 0.992041213093 0.997646455505 0.968493082701\n",
      "AUROC: Scores: PFAM\n",
      "(ocsvm_lin,ocsvm_rbf,ocnn_lin,ocnn_sig,rpca_ocsvm,isolation_forest): 1.0 1.0 1.0 0.06 0.916 0.976\n",
      "P_10_score: PFAM\n",
      "(ocsvm_lin,ocsvm_rbf,ocnn_lin,ocnn_sig,rpca_ocsvm,isolation_forest): 1.0 1.0 1.0 1.0 1.0 1.0\n"
     ]
    },
    {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c2977f390>"
      ]
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      "image/png": {
       "height": 954,
       "width": 877
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Declare the training and test paths\n",
    "modelpath = cwd+\"/models/transfer_learning/lstm_autoencoders/models/soluble_proteins_id_50_e_1000_encoder.model\"\n",
    "train_path = cwd+\"/models/transfer_learning/lstm_autoencoders/data/test_sol2sol_len20.txt\"\n",
    "encodedDataPath = cwd+\"/models/transfer_learning/lstm_autoencoders/tensorflow_lstm_ae/output/encoded.npy\"\n",
    "biovecModelPath = cwd+\"/models/transfer_learning/lstm_autoencoders/models/swissprot_reviewed_protvec\"\n",
    "\n",
    "ae_modelPath = cwd+ \"/models/transfer_learning/lstm_autoencoders/models/LSTM_AE2_2_id_32_e_1000_encoder.model\"\n",
    "\n",
    "from load_datasets import prepare_pfam_data_for_lstm_ae,prepare_pfam_data_for_ocsvm_isolationForest\n",
    "from pfam_models import func_getDecision_Scores_pfam,prepare_data_LSTM_AE_OCSVM,encode_pfam_data_for_ae_ocsvm\n",
    "from metrics_lstm_ae_oc_nn import au_prc,compute_au_prc,compute_au_roc,compute_prec_at_10\n",
    "from plot_pfam_scores import plot_decision_scores_pfam\n",
    "# ### PLotting functions for the methods implemented\n",
    "# from plot_pfam_scores import plot_decision_scores_pfam\n",
    "\n",
    "[data_train_biovec,data_test_biovec] = prepare_pfam_data_for_ocsvm_isolationForest(train_path,biovecModelPath)\n",
    "[data_train_ae_encode,data_test_ae_encode]=encode_pfam_data_for_ae_ocsvm(data_train_biovec,data_test_biovec,ae_modelPath)\n",
    "[data_train, data_test] = prepare_data_LSTM_AE_OCSVM(encodedDataPath)\n",
    " \n",
    "##Dimensions \n",
    "print (\"[INFO] PFAM DATA : (Normal, Anomalies) dimensions: \",data_train.shape,data_test.shape)\n",
    "\n",
    "dataset = \"PFAM\"\n",
    "# # Call the function to compute the decision scores\n",
    "df_pfam_scores = func_getDecision_Scores_pfam(dataset,data_train,data_test,data_train_biovec,data_test_biovec,data_train_ae_encode,data_test_ae_encode)\n",
    "            \n",
    "# # Plotting decision\n",
    "plot_decision_scores_pfam(dataset,df_pfam_scores)\n",
    "\n",
    "## Obtain the Metrics AUPRC, AUROC, P@10\n",
    "y_true_pos = np.ones(data_train.shape[0])\n",
    "y_true_neg = np.zeros(data_test.shape[0])\n",
    "y_true = np.concatenate((y_true_pos,y_true_neg))\n",
    "\n",
    "au_prc_scores = compute_au_prc(y_true,df_pfam_scores)\n",
    "au_roc_scores = compute_au_roc(y_true,df_pfam_scores)\n",
    "P_10_score =compute_prec_at_10(y_true,df_pfam_scores)\n",
    "\n",
    "\n",
    "print \"AUPRC: Scores: PFAM\"\n",
    "print \"(ocsvm_lin,ocsvm_rbf,ocnn_lin,ocnn_sig,rpca_ocsvm,isolation_forest):\",au_prc_scores[0],au_prc_scores[1],au_prc_scores[2],au_prc_scores[3],au_prc_scores[4],au_prc_scores[5]\n",
    "print \"AUROC: Scores: PFAM\"\n",
    "print \"(ocsvm_lin,ocsvm_rbf,ocnn_lin,ocnn_sig,rpca_ocsvm,isolation_forest):\",au_roc_scores[0],au_roc_scores[1],au_roc_scores[2],au_roc_scores[3],au_roc_scores[4],au_roc_scores[5]\n",
    "print \"P_10_score: PFAM\"\n",
    "print \"(ocsvm_lin,ocsvm_rbf,ocnn_lin,ocnn_sig,rpca_ocsvm,isolation_forest):\",P_10_score[0],P_10_score[1],P_10_score[2],P_10_score[3],P_10_score[4],P_10_score[5]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "========================================\n",
      "PFAM : Metrics\n",
      "========================================\n",
      "                             AUPRC  AUROC  P@10\n",
      "Methods                                        \n",
      "OC-NN-Linear              1.000000  1.000   1.0\n",
      "OC-NN-Sigmoid             1.000000  1.000   1.0\n",
      "OC-NN-Relu                1.000000  1.000   1.0\n",
      "LSTM-AE-OCSVM-Linear      0.992041  0.060   1.0\n",
      "LSTM-AE-OCSVM-RBF         0.997646  0.916   1.0\n",
      "AE-SVDD-Linear            0.968493  0.976   1.0\n",
      "AE-SVDD-RBF               0.963429  0.700   1.0\n",
      "Biovec-OCSVM-Linear       0.812424  0.660   1.0\n",
      "Biovec-OCSVM-RBF          0.955317  0.600   1.0\n",
      "Biovec-RPCA_OCSVM_Linear  0.892929  0.400   1.0\n",
      "Biovec-RPCA_OCSVM_RBF     0.981818  0.900   0.7\n",
      "Biovec-Isolation_Forest   0.900909  0.450   1.0\n"
     ]
    }
   ],
   "source": [
    "## PFAM Metrics\n",
    "print '='*40\n",
    "print \"PFAM : Metrics\"\n",
    "print '='*40\n",
    "methods = ['OC-NN-Linear', 'OC-NN-Sigmoid','OC-NN-Relu','LSTM-AE-OCSVM-Linear','LSTM-AE-OCSVM-RBF','AE-SVDD-Linear','AE-SVDD-RBF','Biovec-OCSVM-Linear','Biovec-OCSVM-RBF','Biovec-RPCA_OCSVM_Linear','Biovec-RPCA_OCSVM_RBF','Biovec-Isolation_Forest' ]\n",
    "import pandas as pd\n",
    "df = pd.DataFrame(\n",
    "    {'AUPRC': au_prc_scores,\n",
    "     'AUROC': au_roc_scores,\n",
    "     'P@10': P_10_score,\n",
    "     'Methods':methods\n",
    "    })\n",
    "df = df.set_index('Methods')\n",
    "print df.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Experiments : CIFAR-10 Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO] loading images for training...\n",
      "[INFO] preparing test data (anomalous )...\n",
      "(50, 3072)\n",
      "(5, 3072)\n",
      "[INFO] loading network...\n",
      "base_model.output (?, 32)\n",
      "base_model.input (?, 32, 32, 3)\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_1 (InputLayer)         (None, 32, 32, 3)         0         \n",
      "_________________________________________________________________\n",
      "conv2d_1 (Conv2D)            (None, 32, 32, 32)        896       \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 16, 16, 32)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 16, 16, 64)        18496     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2 (None, 8, 8, 64)          0         \n",
      "_________________________________________________________________\n",
      "conv2d_3 (Conv2D)            (None, 8, 8, 128)         73856     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2 (None, 4, 4, 128)         0         \n",
      "_________________________________________________________________\n",
      "conv2d_4 (Conv2D)            (None, 4, 4, 256)         295168    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_4 (MaxPooling2 (None, 2, 2, 256)         0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 1024)              0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 32)                32800     \n",
      "_________________________________________________________________\n",
      "dense_output1 (Dense)        (None, 512)               16896     \n",
      "_________________________________________________________________\n",
      "output_activation1 (Activati (None, 512)               0         \n",
      "_________________________________________________________________\n",
      "dense_output2 (Dense)        (None, 1)                 513       \n",
      "_________________________________________________________________\n",
      "output_activation2 (Activati (None, 1)                 0         \n",
      "=================================================================\n",
      "Total params: 438,625\n",
      "Trainable params: 438,625\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n",
      "Length of model layers... 15\n",
      "[INFO] loading images for training...\n",
      "[INFO] preparing test data (anomalous )...\n",
      "(50, 32)\n",
      "(5, 32)\n",
      "Calling..... <function func_getDecision_Scores_cifar at 0x1a2452c938>\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "CAE_OCSVM_Linear+ [[  1.23124902e+01]\n",
      " [  2.17025409e-04]\n",
      " [  1.03529625e+01]\n",
      " [  6.38992896e+00]\n",
      " [ -4.04886295e-04]\n",
      " [  5.92285097e+00]\n",
      " [ -3.36359808e-04]\n",
      " [ -6.90152319e-05]\n",
      " [  1.39668833e+01]\n",
      " [  4.41315420e-01]\n",
      " [ -6.09519321e-05]\n",
      " [  1.13598296e+01]\n",
      " [ -2.06880692e-04]\n",
      " [  1.35595139e+00]\n",
      " [ -3.49223353e-04]\n",
      " [ -4.24867579e-04]\n",
      " [  2.91751733e-04]\n",
      " [  1.71467433e+01]\n",
      " [  2.55324149e-04]\n",
      " [ -2.92009560e-04]\n",
      " [  1.67764925e+01]\n",
      " [  1.63753522e+01]\n",
      " [  2.78909157e+00]\n",
      " [  2.82911363e+01]\n",
      " [  1.70095112e-04]\n",
      " [ -1.64365742e-04]\n",
      " [  1.59694171e+01]\n",
      " [ -6.92061570e-05]\n",
      " [ -6.54915945e-05]\n",
      " [  1.30137080e+00]\n",
      " [  4.71790045e-04]\n",
      " [  2.07009257e+01]\n",
      " [  1.09882002e+01]\n",
      " [  2.04825010e+01]\n",
      " [  2.18015781e-04]\n",
      " [  3.21272222e-04]\n",
      " [ -2.23365146e-04]\n",
      " [  9.39007470e-05]\n",
      " [  1.38560729e+00]\n",
      " [  2.99189301e-04]\n",
      " [ -1.47758832e-04]\n",
      " [  4.38457974e+00]\n",
      " [  3.30299714e-04]\n",
      " [  1.21470620e+00]\n",
      " [  1.91532137e+01]\n",
      " [ -1.22963947e-04]\n",
      " [  2.14254072e+01]\n",
      " [  4.23396542e+00]\n",
      " [  3.24716583e-04]\n",
      " [ -5.24853365e-05]]\n",
      "CAE_OCSVM_Linear- [[-13.47445456]\n",
      " [-19.2525193 ]\n",
      " [-10.7618832 ]\n",
      " [-27.67195666]\n",
      " [ -2.43760237]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/CAE_OCSVM_Linear.csv\n",
      "Finished cae_ocsvm-linear\n",
      "Saving Hidden layer weights w1 for cifar.. data\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "CAE_OCSVM_RBF+ [[-0.00038369]\n",
      " [ 0.00057817]\n",
      " [-0.00038404]\n",
      " [-0.00038804]\n",
      " [ 0.00057944]\n",
      " [-0.00038557]\n",
      " [ 0.00057953]\n",
      " [-0.00038459]\n",
      " [ 0.00057948]\n",
      " [-0.00038828]\n",
      " [ 0.00057814]\n",
      " [ 0.00057961]\n",
      " [ 0.0005795 ]\n",
      " [ 0.00057948]\n",
      " [-0.00038429]\n",
      " [-0.00038286]\n",
      " [-0.00038861]\n",
      " [-0.00038574]\n",
      " [-0.00038828]\n",
      " [-0.00038429]\n",
      " [-0.00038882]\n",
      " [-0.0003834 ]\n",
      " [-0.00038887]\n",
      " [ 0.00057814]\n",
      " [-0.00038783]\n",
      " [ 0.00057814]\n",
      " [ 0.00057944]\n",
      " [-0.00038828]\n",
      " [-0.00038413]\n",
      " [-0.00038777]\n",
      " [ 0.00057961]\n",
      " [-0.00038487]\n",
      " [ 0.00057819]\n",
      " [-0.00038871]\n",
      " [-0.00038652]\n",
      " [ 0.00057953]\n",
      " [-0.00038725]\n",
      " [-0.00038882]\n",
      " [ 0.0005795 ]\n",
      " [ 0.00057814]\n",
      " [ 0.00057817]\n",
      " [-0.00038459]\n",
      " [-0.00038407]\n",
      " [-0.00038217]\n",
      " [-0.00038287]\n",
      " [-0.00038407]\n",
      " [ 0.0005795 ]\n",
      " [ 0.0005782 ]\n",
      " [ 0.00057944]\n",
      " [-0.00038797]]\n",
      "CAE_OCSVM_RBF- [[-0.10001808]\n",
      " [-0.10001261]\n",
      " [-0.0999877 ]\n",
      " [-0.10001808]\n",
      " [-0.10001575]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/CAE_OCSVM_RBF.csv\n",
      "Finished cae_ocsvm-rbf\n",
      "Input Shape: 32\n",
      "Epoch = 1, r = -67.654649\n",
      "Epoch = 2, r = -58.718781\n",
      "Epoch = 3, r = -49.097498\n",
      "Epoch = 4, r = -34.882801\n",
      "Epoch = 5, r = -29.412660\n",
      "Epoch = 6, r = -26.048228\n",
      "Epoch = 7, r = -22.598120\n",
      "Epoch = 8, r = -18.834041\n",
      "Epoch = 9, r = -13.380759\n",
      "Epoch = 10, r = -13.002599\n",
      "Epoch = 11, r = -11.713017\n",
      "Epoch = 12, r = -10.560364\n",
      "Epoch = 13, r = -7.808673\n",
      "Epoch = 14, r = -5.351163\n",
      "Epoch = 15, r = -5.377723\n",
      "Epoch = 16, r = -3.353352\n",
      "Epoch = 17, r = -2.799660\n",
      "Epoch = 18, r = -1.576925\n",
      "Epoch = 19, r = -1.823358\n",
      "Epoch = 20, r = -0.720945\n",
      "Epoch = 21, r = -1.063079\n",
      "Epoch = 22, r = 0.989287\n",
      "Epoch = 23, r = 0.665667\n",
      "Epoch = 24, r = 1.672808\n",
      "Epoch = 25, r = 2.378940\n",
      "Epoch = 26, r = 3.277993\n",
      "Epoch = 27, r = 3.233388\n",
      "Epoch = 28, r = 3.296868\n",
      "Epoch = 29, r = 2.975277\n",
      "Epoch = 30, r = 3.560426\n",
      "Epoch = 31, r = 4.529606\n",
      "Epoch = 32, r = 4.728213\n",
      "Epoch = 33, r = 5.171740\n",
      "Epoch = 34, r = 4.721417\n",
      "Epoch = 35, r = 3.915223\n",
      "Epoch = 36, r = 3.929387\n",
      "Epoch = 37, r = 3.879607\n",
      "Epoch = 38, r = 4.029704\n",
      "Epoch = 39, r = 3.924630\n",
      "Epoch = 40, r = 3.934328\n",
      "Epoch = 41, r = 3.956055\n",
      "Epoch = 42, r = 4.094921\n",
      "Epoch = 43, r = 4.134592\n",
      "Epoch = 44, r = 3.942648\n",
      "Epoch = 45, r = 3.766588\n",
      "Epoch = 46, r = 3.832969\n",
      "Epoch = 47, r = 4.006571\n",
      "Epoch = 48, r = 3.885466\n",
      "Epoch = 49, r = 3.077992\n",
      "Epoch = 50, r = 3.062395\n",
      "Epoch = 51, r = 3.127155\n",
      "Epoch = 52, r = 3.239768\n",
      "Epoch = 53, r = 3.772568\n",
      "Epoch = 54, r = 3.824691\n",
      "Epoch = 55, r = 3.214525\n",
      "Epoch = 56, r = 3.353212\n",
      "Epoch = 57, r = 3.821576\n",
      "Epoch = 58, r = 3.180766\n",
      "Epoch = 59, r = 2.846117\n",
      "Epoch = 60, r = 2.846108\n",
      "Epoch = 61, r = 2.753997\n",
      "Epoch = 62, r = 2.961268\n",
      "Epoch = 63, r = 2.605766\n",
      "Epoch = 64, r = 3.024165\n",
      "Epoch = 65, r = 2.850018\n",
      "Epoch = 66, r = 3.125272\n",
      "Epoch = 67, r = 3.143121\n",
      "Epoch = 68, r = 3.325345\n",
      "Epoch = 69, r = 3.022592\n",
      "Epoch = 70, r = 2.956339\n",
      "Epoch = 71, r = 2.694282\n",
      "Epoch = 72, r = 2.798959\n",
      "Epoch = 73, r = 2.733399\n",
      "Epoch = 74, r = 3.036119\n",
      "Epoch = 75, r = 2.998670\n",
      "Epoch = 76, r = 2.672280\n",
      "Epoch = 77, r = 2.450376\n",
      "Epoch = 78, r = 2.615094\n",
      "Epoch = 79, r = 2.673750\n",
      "Epoch = 80, r = 2.753372\n",
      "Epoch = 81, r = 2.654225\n",
      "Epoch = 82, r = 2.768262\n",
      "Epoch = 83, r = 2.734100\n",
      "Epoch = 84, r = 2.811525\n",
      "Epoch = 85, r = 2.247589\n",
      "Epoch = 86, r = 2.084049\n",
      "Epoch = 87, r = 2.324459\n",
      "Epoch = 88, r = 2.751262\n",
      "Epoch = 89, r = 2.880282\n",
      "Epoch = 90, r = 2.502116\n",
      "Epoch = 91, r = 2.297951\n",
      "Epoch = 92, r = 2.358598\n",
      "Epoch = 93, r = 2.240565\n",
      "Epoch = 94, r = 2.026692\n",
      "Epoch = 95, r = 2.333935\n",
      "Epoch = 96, r = 1.848374\n",
      "Epoch = 97, r = 1.952440\n",
      "Epoch = 98, r = 1.949085\n",
      "Epoch = 99, r = 2.142749\n",
      "Epoch = 100, r = 2.111473\n",
      "Session Closed!!!\n",
      "&&&&&&&&&&&&\n",
      "[[  1.24239779e+01]\n",
      " [  0.00000000e+00]\n",
      " [  1.07972660e+01]\n",
      " [  5.94098568e+00]\n",
      " [  1.54894686e+00]\n",
      " [  6.64503574e+00]\n",
      " [  2.12680697e+00]\n",
      " [  1.72632265e+00]\n",
      " [  1.42791214e+01]\n",
      " [  2.75932193e+00]\n",
      " [  1.58229876e+00]\n",
      " [  8.91887951e+00]\n",
      " [  2.16447592e-01]\n",
      " [  1.34554672e+00]\n",
      " [  2.71582842e-01]\n",
      " [  0.00000000e+00]\n",
      " [  2.55985808e+00]\n",
      " [  1.61409130e+01]\n",
      " [  2.18689513e+00]\n",
      " [  5.37418365e-01]\n",
      " [  1.52210121e+01]\n",
      " [  1.40586090e+01]\n",
      " [  1.33675981e+00]\n",
      " [  2.51540012e+01]\n",
      " [  7.62273550e-01]\n",
      " [  1.51095772e+00]\n",
      " [  1.45349159e+01]\n",
      " [  6.53894663e-01]\n",
      " [  8.07863474e-01]\n",
      " [  4.25514984e+00]\n",
      " [  3.56448150e+00]\n",
      " [  2.05444145e+01]\n",
      " [  1.00727234e+01]\n",
      " [  1.78113556e+01]\n",
      " [  1.58211708e+00]\n",
      " [  1.04939389e+00]\n",
      " [  6.58383846e-01]\n",
      " [  8.20255280e-03]\n",
      " [  2.01229262e+00]\n",
      " [  5.16441822e-01]\n",
      " [  3.38877439e-01]\n",
      " [  4.68227863e+00]\n",
      " [  0.00000000e+00]\n",
      " [  5.54184198e-01]\n",
      " [  1.33792362e+01]\n",
      " [  0.00000000e+00]\n",
      " [  1.95308952e+01]\n",
      " [  3.96412826e+00]\n",
      " [  0.00000000e+00]\n",
      " [  3.00519872e+00]]\n",
      "[[ -8.90893841]\n",
      " [-14.33524513]\n",
      " [ -8.28839779]\n",
      " [-20.86131859]\n",
      " [ -1.89849043]]\n",
      "Finished tf_OneClass_NN_linear\n",
      "Input Shape: 32\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch = 1, r = 0.003975\n",
      "Epoch = 2, r = 0.004374\n",
      "Epoch = 3, r = 0.004774\n",
      "Epoch = 4, r = 0.005173\n",
      "Epoch = 5, r = 0.005573\n",
      "Epoch = 6, r = 0.005972\n",
      "Epoch = 7, r = 0.006371\n",
      "Epoch = 8, r = 0.006771\n",
      "Epoch = 9, r = 0.007170\n",
      "Epoch = 10, r = 0.007569\n",
      "Epoch = 11, r = 0.007969\n",
      "Epoch = 12, r = 0.008368\n",
      "Epoch = 13, r = 0.008767\n",
      "Epoch = 14, r = 0.009166\n",
      "Epoch = 15, r = 0.009485\n",
      "Epoch = 16, r = 0.009884\n",
      "Epoch = 17, r = 0.010283\n",
      "Epoch = 18, r = 0.010682\n",
      "Epoch = 19, r = 0.011081\n",
      "Epoch = 20, r = 0.011480\n",
      "Epoch = 21, r = 0.011879\n",
      "Epoch = 22, r = 0.012278\n",
      "Epoch = 23, r = 0.012676\n",
      "Epoch = 24, r = 0.013075\n",
      "Epoch = 25, r = 0.013474\n",
      "Epoch = 26, r = 0.013872\n",
      "Epoch = 27, r = 0.014271\n",
      "Epoch = 28, r = 0.014670\n",
      "Epoch = 29, r = 0.015068\n",
      "Epoch = 30, r = 0.015467\n",
      "Epoch = 31, r = 0.015865\n",
      "Epoch = 32, r = 0.016263\n",
      "Epoch = 33, r = 0.016662\n",
      "Epoch = 34, r = 0.017060\n",
      "Epoch = 35, r = 0.017458\n",
      "Epoch = 36, r = 0.017857\n",
      "Epoch = 37, r = 0.018255\n",
      "Epoch = 38, r = 0.018573\n",
      "Epoch = 39, r = 0.018971\n",
      "Epoch = 40, r = 0.019369\n",
      "Epoch = 41, r = 0.019767\n",
      "Epoch = 42, r = 0.020165\n",
      "Epoch = 43, r = 0.020563\n",
      "Epoch = 44, r = 0.020881\n",
      "Epoch = 45, r = 0.021279\n",
      "Epoch = 46, r = 0.021677\n",
      "Epoch = 47, r = 0.021995\n",
      "Epoch = 48, r = 0.022393\n",
      "Epoch = 49, r = 0.022791\n",
      "Epoch = 50, r = 0.023188\n",
      "Epoch = 51, r = 0.023586\n",
      "Epoch = 52, r = 0.023984\n",
      "Epoch = 53, r = 0.024381\n",
      "Epoch = 54, r = 0.024779\n",
      "Epoch = 55, r = 0.025176\n",
      "Epoch = 56, r = 0.025574\n",
      "Epoch = 57, r = 0.025971\n",
      "Epoch = 58, r = 0.026369\n",
      "Epoch = 59, r = 0.026766\n",
      "Epoch = 60, r = 0.027163\n",
      "Epoch = 61, r = 0.027561\n",
      "Epoch = 62, r = 0.027958\n",
      "Epoch = 63, r = 0.028355\n",
      "Epoch = 64, r = 0.028752\n",
      "Epoch = 65, r = 0.029069\n",
      "Epoch = 66, r = 0.029467\n",
      "Epoch = 67, r = 0.029864\n",
      "Epoch = 68, r = 0.030181\n",
      "Epoch = 69, r = 0.030578\n",
      "Epoch = 70, r = 0.030974\n",
      "Epoch = 71, r = 0.031371\n",
      "Epoch = 72, r = 0.031768\n",
      "Epoch = 73, r = 0.032165\n",
      "Epoch = 74, r = 0.032562\n",
      "Epoch = 75, r = 0.032959\n",
      "Epoch = 76, r = 0.033275\n",
      "Epoch = 77, r = 0.033672\n",
      "Epoch = 78, r = 0.034069\n",
      "Epoch = 79, r = 0.034465\n",
      "Epoch = 80, r = 0.034862\n",
      "Epoch = 81, r = 0.035258\n",
      "Epoch = 82, r = 0.035575\n",
      "Epoch = 83, r = 0.035971\n",
      "Epoch = 84, r = 0.036368\n",
      "Epoch = 85, r = 0.036764\n",
      "Epoch = 86, r = 0.037160\n",
      "Epoch = 87, r = 0.037557\n",
      "Epoch = 88, r = 0.037793\n",
      "Epoch = 89, r = 0.038189\n",
      "Epoch = 90, r = 0.038585\n",
      "Epoch = 91, r = 0.038981\n",
      "Epoch = 92, r = 0.039378\n",
      "Epoch = 93, r = 0.039774\n",
      "Epoch = 94, r = 0.040170\n",
      "Epoch = 95, r = 0.040566\n",
      "Epoch = 96, r = 0.040962\n",
      "Epoch = 97, r = 0.041357\n",
      "Epoch = 98, r = 0.041753\n",
      "Epoch = 99, r = 0.042149\n",
      "Epoch = 100, r = 0.042545\n",
      "Session Closed!!!\n",
      "Saving Hidden layer weights w1 for cifar.. data\n",
      "Finished tf_OneClass_NN_sigmoid\n",
      "Input Shape: 32\n",
      "Epoch = 1, r = -0.000000\n",
      "Epoch = 2, r = -0.000000\n",
      "Epoch = 3, r = -0.000000\n",
      "Epoch = 4, r = -0.000000\n",
      "Epoch = 5, r = -0.000000\n",
      "Epoch = 6, r = -0.000000\n",
      "Epoch = 7, r = -0.000000\n",
      "Epoch = 8, r = -0.000000\n",
      "Epoch = 9, r = -0.000000\n",
      "Epoch = 10, r = -0.000000\n",
      "Epoch = 11, r = -0.000000\n",
      "Epoch = 12, r = -0.000000\n",
      "Epoch = 13, r = -0.000000\n",
      "Epoch = 14, r = -0.000000\n",
      "Epoch = 15, r = -0.000000\n",
      "Epoch = 16, r = -0.000000\n",
      "Epoch = 17, r = -0.000000\n",
      "Epoch = 18, r = -0.000000\n",
      "Epoch = 19, r = -0.000000\n",
      "Epoch = 20, r = -0.000000\n",
      "Epoch = 21, r = -0.000000\n",
      "Epoch = 22, r = -0.000000\n",
      "Epoch = 23, r = -0.000000\n",
      "Epoch = 24, r = -0.000000\n",
      "Epoch = 25, r = -0.000000\n",
      "Epoch = 26, r = -0.000000\n",
      "Epoch = 27, r = -0.000000\n",
      "Epoch = 28, r = -0.000000\n",
      "Epoch = 29, r = -0.000000\n",
      "Epoch = 30, r = -0.000000\n",
      "Epoch = 31, r = -0.000000\n",
      "Epoch = 32, r = -0.000000\n",
      "Epoch = 33, r = -0.000000\n",
      "Epoch = 34, r = -0.000000\n",
      "Epoch = 35, r = -0.000000\n",
      "Epoch = 36, r = -0.000000\n",
      "Epoch = 37, r = -0.000000\n",
      "Epoch = 38, r = -0.000000\n",
      "Epoch = 39, r = -0.000000\n",
      "Epoch = 40, r = -0.000000\n",
      "Epoch = 41, r = -0.000000\n",
      "Epoch = 42, r = -0.000000\n",
      "Epoch = 43, r = -0.000000\n",
      "Epoch = 44, r = -0.000000\n",
      "Epoch = 45, r = -0.000000\n",
      "Epoch = 46, r = -0.000000\n",
      "Epoch = 47, r = -0.000000\n",
      "Epoch = 48, r = -0.000000\n",
      "Epoch = 49, r = -0.000000\n",
      "Epoch = 50, r = -0.000000\n",
      "Epoch = 51, r = -0.000000\n",
      "Epoch = 52, r = -0.000000\n",
      "Epoch = 53, r = -0.000000\n",
      "Epoch = 54, r = -0.000000\n",
      "Epoch = 55, r = -0.000000\n",
      "Epoch = 56, r = -0.000000\n",
      "Epoch = 57, r = -0.000000\n",
      "Epoch = 58, r = -0.000000\n",
      "Epoch = 59, r = -0.000000\n",
      "Epoch = 60, r = -0.000000\n",
      "Epoch = 61, r = -0.000000\n",
      "Epoch = 62, r = -0.000000\n",
      "Epoch = 63, r = -0.000000\n",
      "Epoch = 64, r = -0.000000\n",
      "Epoch = 65, r = -0.000000\n",
      "Epoch = 66, r = -0.000000\n",
      "Epoch = 67, r = -0.000000\n",
      "Epoch = 68, r = -0.000000\n",
      "Epoch = 69, r = -0.000000\n",
      "Epoch = 70, r = -0.000000\n",
      "Epoch = 71, r = -0.000000\n",
      "Epoch = 72, r = -0.000000\n",
      "Epoch = 73, r = -0.000000\n",
      "Epoch = 74, r = -0.000000\n",
      "Epoch = 75, r = -0.000000\n",
      "Epoch = 76, r = -0.000000\n",
      "Epoch = 77, r = -0.000000\n",
      "Epoch = 78, r = -0.000000\n",
      "Epoch = 79, r = -0.000000\n",
      "Epoch = 80, r = -0.000000\n",
      "Epoch = 81, r = -0.000000\n",
      "Epoch = 82, r = -0.000000\n",
      "Epoch = 83, r = -0.000000\n",
      "Epoch = 84, r = -0.000000\n",
      "Epoch = 85, r = -0.000000\n",
      "Epoch = 86, r = -0.000000\n",
      "Epoch = 87, r = -0.000000\n",
      "Epoch = 88, r = -0.000000\n",
      "Epoch = 89, r = -0.000000\n",
      "Epoch = 90, r = -0.000000\n",
      "Epoch = 91, r = -0.000000\n",
      "Epoch = 92, r = -0.000000\n",
      "Epoch = 93, r = -0.000000\n",
      "Epoch = 94, r = -0.000000\n",
      "Epoch = 95, r = -0.000000\n",
      "Epoch = 96, r = -0.000000\n",
      "Epoch = 97, r = -0.000000\n",
      "Epoch = 98, r = -0.000000\n",
      "Epoch = 99, r = -0.000000\n",
      "Epoch = 100, r = -0.000000\n",
      "Session Closed!!!\n",
      "Finished tf_OneClass_NN_relu\n",
      "[[ -3.04921402e+01]\n",
      " [  5.39341517e+02]\n",
      " [  9.90008914e+02]\n",
      " [  5.19123235e+02]\n",
      " [  5.54809618e+02]\n",
      " [  7.46059716e+01]\n",
      " [  3.40239294e+02]\n",
      " [  1.02778768e+03]\n",
      " [  4.04423380e+02]\n",
      " [  7.30298641e+02]\n",
      " [ -3.09444712e+02]\n",
      " [ -3.49289571e-04]\n",
      " [  5.68967310e+02]\n",
      " [  3.53511438e+02]\n",
      " [  6.82288663e+02]\n",
      " [  8.97732082e+02]\n",
      " [  1.82891067e+02]\n",
      " [  3.78014048e+02]\n",
      " [  5.70253802e+02]\n",
      " [  4.65736751e+02]\n",
      " [  1.57150015e+02]\n",
      " [  5.85151547e+02]\n",
      " [  5.06486835e+02]\n",
      " [  4.62833235e+02]\n",
      " [  1.67210554e-04]\n",
      " [  3.57348548e+02]\n",
      " [  5.73023806e+02]\n",
      " [  5.86037605e+02]\n",
      " [  4.74845276e+02]\n",
      " [  1.72624120e+02]\n",
      " [  8.60904611e+01]\n",
      " [  1.82675991e-04]\n",
      " [  5.37240571e+02]\n",
      " [  8.67461440e+02]\n",
      " [  4.69494599e+02]\n",
      " [  3.81028758e+02]\n",
      " [ -1.21773720e+01]\n",
      " [  1.06490047e+03]\n",
      " [  1.20644994e+03]\n",
      " [ -2.20354202e+02]\n",
      " [  1.38320077e+03]\n",
      " [  4.70590124e+02]\n",
      " [  4.26818841e+02]\n",
      " [  7.64808124e+02]\n",
      " [  9.01470682e+02]\n",
      " [  3.26637294e+02]\n",
      " [  7.69611288e+02]\n",
      " [  4.36664457e+02]\n",
      " [  3.85451171e+02]\n",
      " [  5.12230420e+02]]\n",
      "[[ 234.28841177]\n",
      " [ 120.66121447]\n",
      " [ 544.4213712 ]\n",
      " [ 236.48243305]\n",
      " [ 830.95217417]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/ocsvm_linear.csv\n",
      "0.00279879570007 0.00156021118164\n",
      "Finished sklearn_OCSVM_linear\n",
      "pos_decisionScore [[  1.08270690e-01]\n",
      " [  1.21335318e-01]\n",
      " [  1.78811921e-01]\n",
      " [  1.38683942e-01]\n",
      " [  1.15559230e-01]\n",
      " [  1.83068102e-01]\n",
      " [  1.62747404e-01]\n",
      " [  9.69122967e-02]\n",
      " [  7.57565807e-02]\n",
      " [  2.12756038e-01]\n",
      " [ -4.46319969e-02]\n",
      " [ -3.32834163e-04]\n",
      " [  1.28165712e-01]\n",
      " [  2.15749623e-01]\n",
      " [ -3.42297688e-04]\n",
      " [  2.30046782e-01]\n",
      " [  6.67668675e-02]\n",
      " [  8.11749252e-02]\n",
      " [  1.63714271e-01]\n",
      " [  1.35490562e-01]\n",
      " [ -2.48844638e-04]\n",
      " [  2.58767113e-01]\n",
      " [  5.14219519e-02]\n",
      " [  4.50280878e-02]\n",
      " [  2.01300089e-03]\n",
      " [  3.10088417e-02]\n",
      " [  1.83324386e-01]\n",
      " [  6.46010919e-02]\n",
      " [  1.35325301e-01]\n",
      " [  7.04513667e-02]\n",
      " [  3.82276820e-04]\n",
      " [  3.39903176e-02]\n",
      " [  1.28520683e-01]\n",
      " [  4.78746141e-02]\n",
      " [  2.11451752e-01]\n",
      " [  2.52444817e-02]\n",
      " [  8.56254986e-02]\n",
      " [ -4.74118491e-03]\n",
      " [ -8.65377494e-02]\n",
      " [  5.88002922e-02]\n",
      " [  4.99250872e-02]\n",
      " [  1.17390227e-03]\n",
      " [  3.82268424e-04]\n",
      " [  2.30331306e-01]\n",
      " [ -1.84637088e-03]\n",
      " [  1.30528541e-01]\n",
      " [  1.07401367e-01]\n",
      " [  1.69145083e-01]\n",
      " [  5.62418238e-02]\n",
      " [  1.59338619e-04]]\n",
      "neg_decisionScore [[-0.13939441]\n",
      " [ 0.15633719]\n",
      " [ 0.18149582]\n",
      " [-0.0024175 ]\n",
      " [ 0.1488689 ]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/ocsvm_rbf.csv\n",
      "Finished sklearn_OCSVM_RBF\n",
      "sklearn__RPCA_OCSVM======== (50, 3072)\n",
      "iteration: 1, error: 21.6366655828\n",
      "iteration: 1, error: 1.7829896234\n",
      "(50, 3072)\n",
      "(5, 3072)\n",
      "Finished rpca_ocsvm\n",
      "sklearn_IsolationForest==== (50, 3072)\n",
      "Finished isolation-forest\n",
      "[INFO] loading network...\n",
      "base_model.output (?, 256)\n",
      "base_model.input (?, 32, 32, 3)\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_1 (InputLayer)         (None, 32, 32, 3)         0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 32, 32, 1024)      4096      \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 1048576)           0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 256)               268435712 \n",
      "_________________________________________________________________\n",
      "dense_output1 (Dense)        (None, 128)               32896     \n",
      "_________________________________________________________________\n",
      "output_activation1 (Activati (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_output2 (Dense)        (None, 1)                 129       \n",
      "_________________________________________________________________\n",
      "output_activation2 (Activati (None, 1)                 0         \n",
      "=================================================================\n",
      "Total params: 268,472,833\n",
      "Trainable params: 268,472,833\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n",
      "Length of model layers... 8\n",
      "[INFO] loading images for training...\n",
      "[INFO] preparing test data (anomalous )...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(50, 256)\n",
      "(5, 256)\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "[[ -5.10457377e-04]\n",
      " [  1.65592922e+01]\n",
      " [  4.63294674e+01]\n",
      " [  3.86813945e+01]\n",
      " [  2.95204079e-04]\n",
      " [  3.43163106e+00]\n",
      " [  2.93063903e+01]\n",
      " [  5.30924634e+01]\n",
      " [  2.00567137e+01]\n",
      " [  3.85755868e+01]\n",
      " [  9.06406801e-04]\n",
      " [ -4.77382434e-04]\n",
      " [  1.25683791e+01]\n",
      " [  4.51551510e+00]\n",
      " [  4.14412980e+01]\n",
      " [  3.61071225e+01]\n",
      " [  9.31209417e+00]\n",
      " [  4.77447021e+01]\n",
      " [  3.37714648e+01]\n",
      " [  2.62157413e+01]\n",
      " [  2.50713659e+01]\n",
      " [  5.97206187e+00]\n",
      " [  2.21659134e+01]\n",
      " [  3.37185402e-04]\n",
      " [  1.53530996e+01]\n",
      " [  2.30828121e+01]\n",
      " [  2.58353115e+01]\n",
      " [  1.63295709e+01]\n",
      " [  2.93632540e+01]\n",
      " [  2.11642350e+01]\n",
      " [ -2.05982504e-04]\n",
      " [ -8.30593103e+00]\n",
      " [  2.23784311e+01]\n",
      " [  6.14647305e+01]\n",
      " [  2.07729377e+01]\n",
      " [  1.93189962e-04]\n",
      " [  3.95822645e+00]\n",
      " [  5.79551492e+01]\n",
      " [  3.08664159e+01]\n",
      " [ -1.25225864e+01]\n",
      " [  6.88677864e+01]\n",
      " [  6.21237531e+00]\n",
      " [  2.63229566e+01]\n",
      " [  1.94562800e+01]\n",
      " [  1.07180703e+01]\n",
      " [  1.65181684e+01]\n",
      " [  5.62828553e+01]\n",
      " [  1.66241371e+01]\n",
      " [  1.58624500e+01]\n",
      " [  2.29177112e+00]]\n",
      "[[ 38.55519284]\n",
      " [  6.50623709]\n",
      " [ 41.58221526]\n",
      " [ -1.9884976 ]\n",
      " [ 41.22874255]]\n",
      "AE2_SVDD_Linear+ [[ -5.10457377e-04]\n",
      " [  1.65592922e+01]\n",
      " [  4.63294674e+01]\n",
      " [  3.86813945e+01]\n",
      " [  2.95204079e-04]\n",
      " [  3.43163106e+00]\n",
      " [  2.93063903e+01]\n",
      " [  5.30924634e+01]\n",
      " [  2.00567137e+01]\n",
      " [  3.85755868e+01]\n",
      " [  9.06406801e-04]\n",
      " [ -4.77382434e-04]\n",
      " [  1.25683791e+01]\n",
      " [  4.51551510e+00]\n",
      " [  4.14412980e+01]\n",
      " [  3.61071225e+01]\n",
      " [  9.31209417e+00]\n",
      " [  4.77447021e+01]\n",
      " [  3.37714648e+01]\n",
      " [  2.62157413e+01]\n",
      " [  2.50713659e+01]\n",
      " [  5.97206187e+00]\n",
      " [  2.21659134e+01]\n",
      " [  3.37185402e-04]\n",
      " [  1.53530996e+01]\n",
      " [  2.30828121e+01]\n",
      " [  2.58353115e+01]\n",
      " [  1.63295709e+01]\n",
      " [  2.93632540e+01]\n",
      " [  2.11642350e+01]\n",
      " [ -2.05982504e-04]\n",
      " [ -8.30593103e+00]\n",
      " [  2.23784311e+01]\n",
      " [  6.14647305e+01]\n",
      " [  2.07729377e+01]\n",
      " [  1.93189962e-04]\n",
      " [  3.95822645e+00]\n",
      " [  5.79551492e+01]\n",
      " [  3.08664159e+01]\n",
      " [ -1.25225864e+01]\n",
      " [  6.88677864e+01]\n",
      " [  6.21237531e+00]\n",
      " [  2.63229566e+01]\n",
      " [  1.94562800e+01]\n",
      " [  1.07180703e+01]\n",
      " [  1.65181684e+01]\n",
      " [  5.62828553e+01]\n",
      " [  1.66241371e+01]\n",
      " [  1.58624500e+01]\n",
      " [  2.29177112e+00]]\n",
      "AE2_SVDD_Linear- [[ 38.55519284]\n",
      " [  6.50623709]\n",
      " [ 41.58221526]\n",
      " [ -1.9884976 ]\n",
      " [ 41.22874255]]\n",
      "Finished ae_ocsvm-linear\n",
      "[INFO] loading network...\n",
      "base_model.output (?, 256)\n",
      "base_model.input (?, 32, 32, 3)\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_1 (InputLayer)         (None, 32, 32, 3)         0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 32, 32, 1024)      4096      \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 1048576)           0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 256)               268435712 \n",
      "_________________________________________________________________\n",
      "dense_output1 (Dense)        (None, 128)               32896     \n",
      "_________________________________________________________________\n",
      "output_activation1 (Activati (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_output2 (Dense)        (None, 1)                 129       \n",
      "_________________________________________________________________\n",
      "output_activation2 (Activati (None, 1)                 0         \n",
      "=================================================================\n",
      "Total params: 268,472,833\n",
      "Trainable params: 268,472,833\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n",
      "Length of model layers... 8\n",
      "[INFO] loading images for training...\n",
      "[INFO] preparing test data (anomalous )...\n",
      "(50, 256)\n",
      "(5, 256)\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "[[ -5.10457377e-04]\n",
      " [  1.65592922e+01]\n",
      " [  4.63294674e+01]\n",
      " [  3.86813945e+01]\n",
      " [  2.95204079e-04]\n",
      " [  3.43163106e+00]\n",
      " [  2.93063903e+01]\n",
      " [  5.30924634e+01]\n",
      " [  2.00567137e+01]\n",
      " [  3.85755868e+01]\n",
      " [  9.06406801e-04]\n",
      " [ -4.77382434e-04]\n",
      " [  1.25683791e+01]\n",
      " [  4.51551510e+00]\n",
      " [  4.14412980e+01]\n",
      " [  3.61071225e+01]\n",
      " [  9.31209417e+00]\n",
      " [  4.77447021e+01]\n",
      " [  3.37714648e+01]\n",
      " [  2.62157413e+01]\n",
      " [  2.50713659e+01]\n",
      " [  5.97206187e+00]\n",
      " [  2.21659134e+01]\n",
      " [  3.37185402e-04]\n",
      " [  1.53530996e+01]\n",
      " [  2.30828121e+01]\n",
      " [  2.58353115e+01]\n",
      " [  1.63295709e+01]\n",
      " [  2.93632540e+01]\n",
      " [  2.11642350e+01]\n",
      " [ -2.05982504e-04]\n",
      " [ -8.30593103e+00]\n",
      " [  2.23784311e+01]\n",
      " [  6.14647305e+01]\n",
      " [  2.07729377e+01]\n",
      " [  1.93189962e-04]\n",
      " [  3.95822645e+00]\n",
      " [  5.79551492e+01]\n",
      " [  3.08664159e+01]\n",
      " [ -1.25225864e+01]\n",
      " [  6.88677864e+01]\n",
      " [  6.21237531e+00]\n",
      " [  2.63229566e+01]\n",
      " [  1.94562800e+01]\n",
      " [  1.07180703e+01]\n",
      " [  1.65181684e+01]\n",
      " [  5.62828553e+01]\n",
      " [  1.66241371e+01]\n",
      " [  1.58624500e+01]\n",
      " [  2.29177112e+00]]\n",
      "[[ 38.55519284]\n",
      " [  6.50623709]\n",
      " [ 41.58221526]\n",
      " [ -1.9884976 ]\n",
      " [ 41.22874255]]\n",
      "AE2_SVDD_rbf+ [[ -5.10457377e-04]\n",
      " [  1.65592922e+01]\n",
      " [  4.63294674e+01]\n",
      " [  3.86813945e+01]\n",
      " [  2.95204079e-04]\n",
      " [  3.43163106e+00]\n",
      " [  2.93063903e+01]\n",
      " [  5.30924634e+01]\n",
      " [  2.00567137e+01]\n",
      " [  3.85755868e+01]\n",
      " [  9.06406801e-04]\n",
      " [ -4.77382434e-04]\n",
      " [  1.25683791e+01]\n",
      " [  4.51551510e+00]\n",
      " [  4.14412980e+01]\n",
      " [  3.61071225e+01]\n",
      " [  9.31209417e+00]\n",
      " [  4.77447021e+01]\n",
      " [  3.37714648e+01]\n",
      " [  2.62157413e+01]\n",
      " [  2.50713659e+01]\n",
      " [  5.97206187e+00]\n",
      " [  2.21659134e+01]\n",
      " [  3.37185402e-04]\n",
      " [  1.53530996e+01]\n",
      " [  2.30828121e+01]\n",
      " [  2.58353115e+01]\n",
      " [  1.63295709e+01]\n",
      " [  2.93632540e+01]\n",
      " [  2.11642350e+01]\n",
      " [ -2.05982504e-04]\n",
      " [ -8.30593103e+00]\n",
      " [  2.23784311e+01]\n",
      " [  6.14647305e+01]\n",
      " [  2.07729377e+01]\n",
      " [  1.93189962e-04]\n",
      " [  3.95822645e+00]\n",
      " [  5.79551492e+01]\n",
      " [  3.08664159e+01]\n",
      " [ -1.25225864e+01]\n",
      " [  6.88677864e+01]\n",
      " [  6.21237531e+00]\n",
      " [  2.63229566e+01]\n",
      " [  1.94562800e+01]\n",
      " [  1.07180703e+01]\n",
      " [  1.65181684e+01]\n",
      " [  5.62828553e+01]\n",
      " [  1.66241371e+01]\n",
      " [  1.58624500e+01]\n",
      " [  2.29177112e+00]]\n",
      "AE2_SVDD_rbf- [[ 38.55519284]\n",
      " [  6.50623709]\n",
      " [ 41.58221526]\n",
      " [ -1.9884976 ]\n",
      " [ 41.22874255]]\n",
      "Finished ae_ocsvm-rbf\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/trainTest_Time/cifar_trainTest.csv\n",
      "Average precision-recall score: 0.9352\n",
      "Average precision-recall score: 0.9176\n",
      "Average precision-recall score: 0.9273\n",
      "Average precision-recall score: 0.9347\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 0.9249\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 0.9015\n",
      "Average precision-recall score: 0.9015\n",
      "ROC  score: 0.5720\n",
      "ROC  score: 0.5160\n",
      "ROC  score: 0.6000\n",
      "ROC  score: 0.6500\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 0.4360\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 0.4320\n",
      "ROC  score: 0.4320\n"
     ]
    },
    {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a2465f810>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 954,
       "width": 872
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Declare the training and test paths\n",
    "\n",
    "\n",
    "modelpath = cwd+\"/models/transfer_learning/cae_autoencoders/trained_models/cifar10_conv_3_id_32_e_1000_encoder.model\"\n",
    "ae2_modelpath = cwd+\"/models/transfer_learning/cae_autoencoders/trained_models/cifar10_AE2_3_id_256_e_10_encoder.model\"\n",
    "train_path = cwd+\"/data/cifar-10_data/normal/\"\n",
    "test_path = cwd+\"/data/cifar-10_data/anoma/\"\n",
    "# train_path = cwd+\"/models/transfer_learning/cae_autoencoders/data/cifar-10/\"\n",
    "# test_path = cwd+\"/models/transfer_learning/cae_autoencoders/data/cifar-10/\"\n",
    "\n",
    "from load_datasets import prepare_cifar_data_for_cae_ocsvm,prepare_cifar_data_for_rpca_forest_ocsvm,prepare_cifar_data_for_ae2_svdd\n",
    "from cifar_models import func_getDecision_Scores_cifar\n",
    "from metrics import au_prc,compute_au_prc,compute_au_roc,compute_prec_at_10\n",
    "# ### PLotting functions for the methods implemented\n",
    "from plot_cifar_scores import plot_decision_scores_CIFAR_10\n",
    "\n",
    "[raw_train,  raw_test] =  prepare_cifar_data_for_rpca_forest_ocsvm(train_path,test_path)\n",
    "print raw_train.shape\n",
    "print raw_test.shape\n",
    "# [data_train_ae2,  data_test_ae2] =  prepare_cifar_data_for_ae2_svdd(train_path,test_path,ae2_modelpath) \n",
    "[data_train,  data_test] =  prepare_cifar_data_for_cae_ocsvm(train_path,test_path,modelpath) \n",
    "\n",
    "\n",
    "\n",
    "##Dimensions \n",
    "# print (\"[INFO] CIFAR-10 DATA : (Normal, Anomalies) dimensions: \",data_train.shape,data_test.shape)\n",
    "\n",
    "## Dataset\n",
    "dataset = \"CIFAR-10\"\n",
    "# # Call the function to compute the decision scores\n",
    "df_cifar10_scores = func_getDecision_Scores_cifar(dataset,data_train,data_test,raw_train,raw_test,train_path,test_path,ae2_modelpath)\n",
    "            \n",
    "# # # Plotting decision\n",
    "plot_decision_scores_CIFAR_10(dataset,df_cifar10_scores)\n",
    "\n",
    "## Obtain the Metrics AUPRC, AUROC, P@10\n",
    "y_true_pos = np.ones(data_train.shape[0])\n",
    "y_true_neg = np.zeros(data_test.shape[0])\n",
    "y_true = np.concatenate((y_true_pos,y_true_neg))\n",
    "\n",
    "au_prc_scores = compute_au_prc(y_true,df_cifar10_scores)\n",
    "au_roc_scores = compute_au_roc(y_true,df_cifar10_scores)\n",
    "P_10_score =compute_prec_at_10(y_true,df_cifar10_scores)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "========================================\n",
      "CIFAR-10 : Metrics\n",
      "========================================\n",
      "                     AUPRC  AUROC  P@10\n",
      "Methods                                \n",
      "OC-NN-Linear      0.843164  0.296   1.0\n",
      "OC-NN-Sigmoid     0.875981  0.276   1.0\n",
      "OC-NN-Relu        0.847821  0.292   1.0\n",
      "CAE-OCSVM-Linear  1.000000  0.572   1.0\n",
      "CAE-OCSVM-RBF     1.000000  1.000   1.0\n",
      "AE2-SVDD-Linear   0.901512  1.000   1.0\n",
      "AE2-SVDD-RBF      0.901512  0.432   1.0\n",
      "OCSVM-Linear      0.935244  0.432   1.0\n",
      "OCSVM-RBF         0.917589  0.516   1.0\n",
      "RPCA_OCSVM        0.927273  0.600   1.0\n",
      "Isolation_Forest  0.917440  0.550   0.9\n"
     ]
    }
   ],
   "source": [
    "## CIFAR-10 Metrics\n",
    "print '='*40\n",
    "print \"CIFAR-10 : Metrics\"\n",
    "print '='*40\n",
    "methods = ['OC-NN-Linear', 'OC-NN-Sigmoid','OC-NN-Relu','CAE-OCSVM-Linear','CAE-OCSVM-RBF','AE2-SVDD-Linear','AE2-SVDD-RBF','OCSVM-Linear','OCSVM-RBF','RPCA_OCSVM','Isolation_Forest' ]\n",
    "import pandas as pd\n",
    "df = pd.DataFrame(\n",
    "    {'AUPRC': au_prc_scores,\n",
    "     'AUROC': au_roc_scores,\n",
    "     'P@10': P_10_score,\n",
    "     'Methods':methods\n",
    "    })\n",
    "df = df.set_index('Methods')\n",
    "print df.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Experiments : MNIST Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Couldn't import dot_parser, loading of dot files will not be possible.\n",
      "('MNIST      : (Normal, Anomalies) dimensions: ', (220, 784), (11, 784))\n",
      "[INFO] loading network...\n",
      "base_model.output (?, 32)\n",
      "base_model.input (?, 28, 28, 1)\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_1 (InputLayer)         (None, 28, 28, 1)         0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 784)               0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 128)               100480    \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 32)                4128      \n",
      "_________________________________________________________________\n",
      "dense_output1 (Dense)        (None, 128)               4224      \n",
      "_________________________________________________________________\n",
      "output_activation1 (Activati (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_output2 (Dense)        (None, 1)                 129       \n",
      "_________________________________________________________________\n",
      "output_activation2 (Activati (None, 1)                 0         \n",
      "=================================================================\n",
      "Total params: 108,961\n",
      "Trainable params: 108,961\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n",
      "Length of model layers... 8\n",
      "X_train.shape (220, 784)\n",
      "X_test.shape (11, 784)\n",
      "Image Shape (28, 28, 1)\n",
      "(220, 128)\n",
      "(11, 128)\n",
      "[INFO] loading network...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/raghav/anaconda/lib/python2.7/site-packages/keras/models.py:252: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.\n",
      "  warnings.warn('No training configuration found in save file: '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "base_model.output (?, 32)\n",
      "base_model.input (?, 28, 28, 1)\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_1 (InputLayer)         (None, 28, 28, 1)         0         \n",
      "_________________________________________________________________\n",
      "conv2d_1 (Conv2D)            (None, 28, 28, 16)        160       \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 14, 14, 16)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 14, 14, 8)         1160      \n",
      "_________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2 (None, 7, 7, 8)           0         \n",
      "_________________________________________________________________\n",
      "conv2d_3 (Conv2D)            (None, 7, 7, 8)           584       \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 392)               0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 32)                12576     \n",
      "_________________________________________________________________\n",
      "dense_output1 (Dense)        (None, 128)               4224      \n",
      "_________________________________________________________________\n",
      "output_activation1 (Activati (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_output2 (Dense)        (None, 1)                 129       \n",
      "_________________________________________________________________\n",
      "output_activation2 (Activati (None, 1)                 0         \n",
      "=================================================================\n",
      "Total params: 18,833\n",
      "Trainable params: 18,833\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n",
      "Length of model layers... 12\n",
      "X_train.shape (220, 784)\n",
      "X_test.shape (11, 784)\n",
      "Image Shape (28, 28, 1)\n",
      "/Users/raghav/Documents/Uni/oc-nn-bak\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/raghav/Documents/Uni/oc-nn-bak/models/tf_OneClass_NN_model.py:13: UserWarning: \n",
      "This call to matplotlib.use() has no effect because the backend has already\n",
      "been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n",
      "or matplotlib.backends is imported for the first time.\n",
      "\n",
      "The backend was *originally* set to 'module://ipykernel.pylab.backend_inline' by the following code:\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/runpy.py\", line 174, in _run_module_as_main\n",
      "    \"__main__\", fname, loader, pkg_name)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/runpy.py\", line 72, in _run_code\n",
      "    exec code in run_globals\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel_launcher.py\", line 16, in <module>\n",
      "    app.launch_new_instance()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/traitlets/config/application.py\", line 596, in launch_instance\n",
      "    app.start()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/kernelapp.py\", line 477, in start\n",
      "    ioloop.IOLoop.instance().start()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/zmq/eventloop/ioloop.py\", line 162, in start\n",
      "    super(ZMQIOLoop, self).start()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/tornado/ioloop.py\", line 888, in start\n",
      "    handler_func(fd_obj, events)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/tornado/stack_context.py\", line 277, in null_wrapper\n",
      "    return fn(*args, **kwargs)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py\", line 440, in _handle_events\n",
      "    self._handle_recv()\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py\", line 472, in _handle_recv\n",
      "    self._run_callback(callback, msg)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py\", line 414, in _run_callback\n",
      "    callback(*args, **kwargs)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/tornado/stack_context.py\", line 277, in null_wrapper\n",
      "    return fn(*args, **kwargs)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/kernelbase.py\", line 283, in dispatcher\n",
      "    return self.dispatch_shell(stream, msg)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/kernelbase.py\", line 235, in dispatch_shell\n",
      "    handler(stream, idents, msg)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/kernelbase.py\", line 399, in execute_request\n",
      "    user_expressions, allow_stdin)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/ipkernel.py\", line 196, in do_execute\n",
      "    res = shell.run_cell(code, store_history=store_history, silent=silent)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/ipykernel/zmqshell.py\", line 533, in run_cell\n",
      "    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2718, in run_cell\n",
      "    interactivity=interactivity, compiler=compiler, result=result)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2822, in run_ast_nodes\n",
      "    if self.run_code(code, result):\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2882, in run_code\n",
      "    exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "  File \"<ipython-input-1-dd96d49a00ef>\", line 1, in <module>\n",
      "    get_ipython().magic(u'matplotlib inline')\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2160, in magic\n",
      "    return self.run_line_magic(magic_name, magic_arg_s)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2081, in run_line_magic\n",
      "    result = fn(*args,**kwargs)\n",
      "  File \"<decorator-gen-105>\", line 2, in matplotlib\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/magic.py\", line 188, in <lambda>\n",
      "    call = lambda f, *a, **k: f(*a, **k)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/magics/pylab.py\", line 100, in matplotlib\n",
      "    gui, backend = self.shell.enable_matplotlib(args.gui)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py\", line 2950, in enable_matplotlib\n",
      "    pt.activate_matplotlib(backend)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/IPython/core/pylabtools.py\", line 308, in activate_matplotlib\n",
      "    matplotlib.pyplot.switch_backend(backend)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/matplotlib/pyplot.py\", line 229, in switch_backend\n",
      "    matplotlib.use(newbackend, warn=False, force=True)\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/matplotlib/__init__.py\", line 1305, in use\n",
      "    reload(sys.modules['matplotlib.backends'])\n",
      "  File \"/Users/raghav/anaconda/lib/python2.7/site-packages/matplotlib/backends/__init__.py\", line 14, in <module>\n",
      "    line for line in traceback.format_stack()\n",
      "\n",
      "\n",
      "  matplotlib.use(\"Agg\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ -1.67720951e-04]\n",
      " [  3.09217230e+06]\n",
      " [  7.13073612e+06]\n",
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      " [  6.85878804e+06]\n",
      " [  6.79524151e+06]\n",
      " [  5.36154696e+06]]\n",
      "[[  858579.09691461]\n",
      " [ 2397236.52133378]\n",
      " [ 5329726.21547052]\n",
      " [ 4686321.7951167 ]\n",
      " [ 4104229.1441125 ]\n",
      " [ 2593642.87515282]\n",
      " [  803171.79253696]\n",
      " [ 3085343.01458591]\n",
      " [ 3758497.64922046]\n",
      " [  513026.67781287]\n",
      " [   40330.74581615]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/ocsvm_linear.csv\n",
      "pos_decisionScore [[  3.90625000e-05]\n",
      " [  3.90625000e-05]\n",
      " [  3.90625000e-05]\n",
      " [  3.90625000e-05]\n",
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      " [  3.90625000e-05]\n",
      " [  3.90625000e-05]\n",
      " [  6.25000000e-04]\n",
      " [ -1.56250000e-04]\n",
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      " [  6.25000000e-04]\n",
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      " [ -1.56250000e-04]\n",
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      " [ -1.56250000e-04]\n",
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      " [ -1.56250000e-04]\n",
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      " [  3.90625000e-05]\n",
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      " [  3.90625000e-05]\n",
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      " [  3.90625000e-05]\n",
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      " [  3.90625000e-05]\n",
      " [  3.90625000e-05]\n",
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      " [ -1.56250000e-04]\n",
      " [ -1.56250000e-04]\n",
      " [  3.90625000e-05]\n",
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      " [  3.90625000e-05]\n",
      " [  3.90625000e-05]\n",
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      " [  3.90625000e-05]\n",
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      " [  3.90625000e-05]\n",
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      " [ -1.56250000e-04]\n",
      " [  3.90625000e-05]\n",
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      " [  3.90625000e-05]\n",
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      " [  3.90625000e-05]\n",
      " [  3.90625000e-05]]\n",
      "neg_decisionScore [[-0.04]\n",
      " [-0.04]\n",
      " [-0.04]\n",
      " [-0.04]\n",
      " [-0.04]\n",
      " [-0.04]\n",
      " [-0.04]\n",
      " [-0.04]\n",
      " [-0.04]\n",
      " [-0.04]\n",
      " [-0.04]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/synthetic/ocsvm_rbf.csv\n",
      "Finished sklearn_OCSVM_linear\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch = 1, r = -0.000000\n",
      "Epoch = 2, r = -0.000000\n",
      "Epoch = 3, r = -0.000000\n",
      "Epoch = 4, r = -0.000000\n",
      "Epoch = 5, r = -0.000000\n",
      "Epoch = 6, r = -0.000000\n",
      "Epoch = 7, r = -0.000000\n",
      "Epoch = 8, r = -0.000000\n",
      "Epoch = 9, r = -0.000000\n",
      "Epoch = 10, r = -0.000000\n",
      "Epoch = 11, r = -0.000000\n",
      "Epoch = 12, r = -0.000000\n",
      "Epoch = 13, r = -0.000000\n",
      "Epoch = 14, r = -0.000000\n",
      "Epoch = 15, r = -0.000000\n",
      "Epoch = 16, r = -0.000000\n",
      "Epoch = 17, r = -0.000000\n",
      "Epoch = 18, r = -0.000000\n",
      "Epoch = 19, r = -0.000000\n",
      "Epoch = 20, r = -0.000000\n",
      "Epoch = 21, r = -0.000000\n",
      "Epoch = 22, r = -0.000000\n",
      "Epoch = 23, r = -0.000000\n",
      "Epoch = 24, r = -0.000000\n",
      "Epoch = 25, r = -0.000000\n",
      "Epoch = 26, r = -0.000000\n",
      "Epoch = 27, r = -0.000000\n",
      "Epoch = 28, r = -0.000000\n",
      "Epoch = 29, r = -0.000000\n",
      "Epoch = 30, r = -0.000000\n",
      "Epoch = 31, r = -0.000000\n",
      "Epoch = 32, r = -0.000000\n",
      "Epoch = 33, r = -0.000000\n",
      "Epoch = 34, r = -0.000000\n",
      "Epoch = 35, r = -0.000000\n",
      "Epoch = 36, r = -0.000000\n",
      "Epoch = 37, r = -0.000000\n",
      "Epoch = 38, r = -0.000000\n",
      "Epoch = 39, r = -0.000000\n",
      "Epoch = 40, r = -0.000000\n",
      "Epoch = 41, r = -0.000000\n",
      "Epoch = 42, r = -0.000000\n",
      "Epoch = 43, r = -0.000000\n",
      "Epoch = 44, r = -0.000000\n",
      "Epoch = 45, r = -0.000000\n",
      "Epoch = 46, r = -0.000000\n",
      "Epoch = 47, r = -0.000000\n",
      "Epoch = 48, r = 0.000000\n",
      "Epoch = 49, r = 0.000000\n",
      "Epoch = 50, r = 0.000000\n",
      "Epoch = 51, r = 0.000000\n",
      "Epoch = 52, r = 0.000000\n",
      "Epoch = 53, r = 0.000000\n",
      "Epoch = 54, r = 0.000000\n",
      "Epoch = 55, r = 0.000000\n",
      "Epoch = 56, r = 0.000000\n",
      "Epoch = 57, r = 0.000000\n",
      "Epoch = 58, r = 0.000000\n",
      "Epoch = 59, r = 0.000000\n",
      "Epoch = 60, r = 0.000000\n",
      "Epoch = 61, r = 0.000000\n",
      "Epoch = 62, r = 0.000000\n",
      "Epoch = 63, r = 0.000000\n",
      "Epoch = 64, r = 0.000000\n",
      "Epoch = 65, r = 0.000000\n",
      "Epoch = 66, r = 0.000000\n",
      "Epoch = 67, r = 0.000000\n",
      "Epoch = 68, r = 0.000000\n",
      "Epoch = 69, r = 0.000000\n",
      "Epoch = 70, r = 0.000000\n",
      "Epoch = 71, r = 0.000000\n",
      "Epoch = 72, r = 0.000000\n",
      "Epoch = 73, r = 0.000000\n",
      "Epoch = 74, r = 0.000000\n",
      "Epoch = 75, r = 0.000000\n",
      "Epoch = 76, r = 0.000000\n",
      "Epoch = 77, r = 0.000000\n",
      "Epoch = 78, r = 0.000000\n",
      "Epoch = 79, r = 0.000000\n",
      "Epoch = 80, r = 0.000000\n",
      "Epoch = 81, r = 0.000000\n",
      "Epoch = 82, r = 0.000000\n",
      "Epoch = 83, r = 0.000000\n",
      "Epoch = 84, r = 0.000000\n",
      "Epoch = 85, r = 0.000000\n",
      "Epoch = 86, r = 0.000000\n",
      "Epoch = 87, r = 0.000000\n",
      "Epoch = 88, r = 0.000000\n",
      "Epoch = 89, r = 0.000000\n",
      "Epoch = 90, r = 0.000000\n",
      "Epoch = 91, r = 0.000000\n",
      "Epoch = 92, r = 0.000000\n",
      "Epoch = 93, r = 0.000000\n",
      "Epoch = 94, r = 0.000000\n",
      "Epoch = 95, r = 0.000000\n",
      "Epoch = 96, r = 0.000000\n",
      "Epoch = 97, r = 0.000000\n",
      "Epoch = 98, r = 0.000000\n",
      "Epoch = 99, r = 0.000000\n",
      "Epoch = 100, r = 0.000000\n",
      "Session Closed!!!\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/mnist/OC-NN_RBF.csv.csv\n",
      "Finished tf_OneClass_NN_linear\n",
      "Epoch = 1, r = 0.019996\n",
      "Epoch = 2, r = 0.039994\n",
      "Epoch = 3, r = 0.059990\n",
      "Epoch = 4, r = 0.079985\n",
      "Epoch = 5, r = 0.099977\n",
      "Epoch = 6, r = 0.119969\n",
      "Epoch = 7, r = 0.139958\n",
      "Epoch = 8, r = 0.159947\n",
      "Epoch = 9, r = 0.179934\n",
      "Epoch = 10, r = 0.199920\n",
      "Epoch = 11, r = 0.219906\n",
      "Epoch = 12, r = 0.239890\n",
      "Epoch = 13, r = 0.259874\n",
      "Epoch = 14, r = 0.279857\n",
      "Epoch = 15, r = 0.299840\n",
      "Epoch = 16, r = 0.319822\n",
      "Epoch = 17, r = 0.339804\n",
      "Epoch = 18, r = 0.359785\n",
      "Epoch = 19, r = 0.379767\n",
      "Epoch = 20, r = 0.399748\n",
      "Epoch = 21, r = 0.419730\n",
      "Epoch = 22, r = 0.439712\n",
      "Epoch = 23, r = 0.459694\n",
      "Epoch = 24, r = 0.479677\n",
      "Epoch = 25, r = 0.499660\n",
      "Epoch = 26, r = 0.519644\n",
      "Epoch = 27, r = 0.539629\n",
      "Epoch = 28, r = 0.559614\n",
      "Epoch = 29, r = 0.579601\n",
      "Epoch = 30, r = 0.599589\n",
      "Epoch = 31, r = 0.619578\n",
      "Epoch = 32, r = 0.639568\n",
      "Epoch = 33, r = 0.659560\n",
      "Epoch = 34, r = 0.679553\n",
      "Epoch = 35, r = 0.699548\n",
      "Epoch = 36, r = 0.719544\n",
      "Epoch = 37, r = 0.739543\n",
      "Epoch = 38, r = 0.759543\n",
      "Epoch = 39, r = 0.779546\n",
      "Epoch = 40, r = 0.799551\n",
      "Epoch = 41, r = 0.819558\n",
      "Epoch = 42, r = 0.839568\n",
      "Epoch = 43, r = 0.859580\n",
      "Epoch = 44, r = 0.879594\n",
      "Epoch = 45, r = 0.899612\n",
      "Epoch = 46, r = 0.919632\n",
      "Epoch = 47, r = 0.939656\n",
      "Epoch = 48, r = 0.959682\n",
      "Epoch = 49, r = 0.979711\n",
      "Epoch = 50, r = 0.999744\n",
      "Epoch = 51, r = 1.019780\n",
      "Epoch = 52, r = 1.039820\n",
      "Epoch = 53, r = 1.059864\n",
      "Epoch = 54, r = 1.079911\n",
      "Epoch = 55, r = 1.099962\n",
      "Epoch = 56, r = 1.120017\n",
      "Epoch = 57, r = 1.140076\n",
      "Epoch = 58, r = 1.160139\n",
      "Epoch = 59, r = 1.180206\n",
      "Epoch = 60, r = 1.200278\n",
      "Epoch = 61, r = 1.220354\n",
      "Epoch = 62, r = 1.240435\n",
      "Epoch = 63, r = 1.260520\n",
      "Epoch = 64, r = 1.280611\n",
      "Epoch = 65, r = 1.300706\n",
      "Epoch = 66, r = 1.320806\n",
      "Epoch = 67, r = 1.340912\n",
      "Epoch = 68, r = 1.361022\n",
      "Epoch = 69, r = 1.381138\n",
      "Epoch = 70, r = 1.401260\n",
      "Epoch = 71, r = 1.421387\n",
      "Epoch = 72, r = 1.441520\n",
      "Epoch = 73, r = 1.461658\n",
      "Epoch = 74, r = 1.481803\n",
      "Epoch = 75, r = 1.501953\n",
      "Epoch = 76, r = 1.522110\n",
      "Epoch = 77, r = 1.542273\n",
      "Epoch = 78, r = 1.562442\n",
      "Epoch = 79, r = 1.582618\n",
      "Epoch = 80, r = 1.602800\n",
      "Epoch = 81, r = 1.622989\n",
      "Epoch = 82, r = 1.643184\n",
      "Epoch = 83, r = 1.663387\n",
      "Epoch = 84, r = 1.683596\n",
      "Epoch = 85, r = 1.703813\n",
      "Epoch = 86, r = 1.724037\n",
      "Epoch = 87, r = 1.744268\n",
      "Epoch = 88, r = 1.764506\n",
      "Epoch = 89, r = 1.784753\n",
      "Epoch = 90, r = 1.805006\n",
      "Epoch = 91, r = 1.825268\n",
      "Epoch = 92, r = 1.845537\n",
      "Epoch = 93, r = 1.865815\n",
      "Epoch = 94, r = 1.886100\n",
      "Epoch = 95, r = 1.906394\n",
      "Epoch = 96, r = 1.926696\n",
      "Epoch = 97, r = 1.947006\n",
      "Epoch = 98, r = 1.967325\n",
      "Epoch = 99, r = 1.987653\n",
      "Epoch = 100, r = 2.007989\n",
      "Session Closed!!!\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/mnist/OC-NN_Sigmoid.csv\n",
      "Finished tf_OneClass_NN_sigmoid\n",
      "Epoch = 1, r = -0.000000\n",
      "Epoch = 2, r = -0.000000\n",
      "Epoch = 3, r = -0.000000\n",
      "Epoch = 4, r = -0.000000\n",
      "Epoch = 5, r = 0.000000\n",
      "Epoch = 6, r = 0.000000\n",
      "Epoch = 7, r = 0.000000\n",
      "Epoch = 8, r = 0.000000\n",
      "Epoch = 9, r = 0.000000\n",
      "Epoch = 10, r = 0.000000\n",
      "Epoch = 11, r = 0.000000\n",
      "Epoch = 12, r = 0.000000\n",
      "Epoch = 13, r = 0.000000\n",
      "Epoch = 14, r = 0.000000\n",
      "Epoch = 15, r = 0.000000\n",
      "Epoch = 16, r = 0.000000\n",
      "Epoch = 17, r = 0.000000\n",
      "Epoch = 18, r = 0.000000\n",
      "Epoch = 19, r = 0.000000\n",
      "Epoch = 20, r = 0.000000\n",
      "Epoch = 21, r = 0.000000\n",
      "Epoch = 22, r = 0.000000\n",
      "Epoch = 23, r = 0.000000\n",
      "Epoch = 24, r = 0.000000\n",
      "Epoch = 25, r = 0.000000\n",
      "Epoch = 26, r = 0.000000\n",
      "Epoch = 27, r = 0.000000\n",
      "Epoch = 28, r = 0.000000\n",
      "Epoch = 29, r = 0.000000\n",
      "Epoch = 30, r = 0.000000\n",
      "Epoch = 31, r = 0.000000\n",
      "Epoch = 32, r = 0.000000\n",
      "Epoch = 33, r = 0.000000\n",
      "Epoch = 34, r = 0.000000\n",
      "Epoch = 35, r = 0.000000\n",
      "Epoch = 36, r = 0.000000\n",
      "Epoch = 37, r = 0.000000\n",
      "Epoch = 38, r = 0.000000\n",
      "Epoch = 39, r = 0.000000\n",
      "Epoch = 40, r = 0.000000\n",
      "Epoch = 41, r = 0.000000\n",
      "Epoch = 42, r = 0.000000\n",
      "Epoch = 43, r = 0.000000\n",
      "Epoch = 44, r = 0.000000\n",
      "Epoch = 45, r = 0.000000\n",
      "Epoch = 46, r = 0.000000\n",
      "Epoch = 47, r = 0.000000\n",
      "Epoch = 48, r = 0.000000\n",
      "Epoch = 49, r = 0.000001\n",
      "Epoch = 50, r = 0.000001\n",
      "Epoch = 51, r = 0.000001\n",
      "Epoch = 52, r = 0.000001\n",
      "Epoch = 53, r = 0.000001\n",
      "Epoch = 54, r = 0.000001\n",
      "Epoch = 55, r = 0.000001\n",
      "Epoch = 56, r = 0.000001\n",
      "Epoch = 57, r = 0.000001\n",
      "Epoch = 58, r = 0.000002\n",
      "Epoch = 59, r = 0.000002\n",
      "Epoch = 60, r = 0.000002\n",
      "Epoch = 61, r = 0.000002\n",
      "Epoch = 62, r = 0.000002\n",
      "Epoch = 63, r = 0.000003\n",
      "Epoch = 64, r = 0.000003\n",
      "Epoch = 65, r = 0.000003\n",
      "Epoch = 66, r = 0.000004\n",
      "Epoch = 67, r = 0.000004\n",
      "Epoch = 68, r = 0.000005\n",
      "Epoch = 69, r = 0.000005\n",
      "Epoch = 70, r = 0.000006\n",
      "Epoch = 71, r = 0.000007\n",
      "Epoch = 72, r = 0.000008\n",
      "Epoch = 73, r = 0.000008\n",
      "Epoch = 74, r = 0.000009\n",
      "Epoch = 75, r = 0.000011\n",
      "Epoch = 76, r = 0.000012\n",
      "Epoch = 77, r = 0.000013\n",
      "Epoch = 78, r = 0.000015\n",
      "Epoch = 79, r = 0.000017\n",
      "Epoch = 80, r = 0.000019\n",
      "Epoch = 81, r = 0.000021\n",
      "Epoch = 82, r = 0.000024\n",
      "Epoch = 83, r = 0.000026\n",
      "Epoch = 84, r = 0.000030\n",
      "Epoch = 85, r = 0.000033\n",
      "Epoch = 86, r = 0.000037\n",
      "Epoch = 87, r = 0.000042\n",
      "Epoch = 88, r = 0.000047\n",
      "Epoch = 89, r = 0.000053\n",
      "Epoch = 90, r = 0.000059\n",
      "Epoch = 91, r = 0.000066\n",
      "Epoch = 92, r = 0.000074\n",
      "Epoch = 93, r = 0.000083\n",
      "Epoch = 94, r = 0.000093\n",
      "Epoch = 95, r = 0.000104\n",
      "Epoch = 96, r = 0.000117\n",
      "Epoch = 97, r = 0.000131\n",
      "Epoch = 98, r = 0.000147\n",
      "Epoch = 99, r = 0.000165\n",
      "Epoch = 100, r = 0.000185\n",
      "Session Closed!!!\n",
      "Finished tf_OneClass_NN_sigmoid\n",
      "sklearn__RPCA_OCSVM======== (220, 784)\n",
      "iteration: 1, error: 157646.610345\n",
      "iteration: 100, error: 105.932564513\n",
      "iteration: 200, error: 12.9035878296\n",
      "iteration: 300, error: 2.58562516664\n",
      "iteration: 400, error: 0.601784714123\n",
      "iteration: 491, error: 0.222310555319\n",
      "iteration: 1, error: 9259.5786971\n",
      "iteration: 100, error: 6.09119603964\n",
      "iteration: 200, error: 0.384638306055\n",
      "iteration: 220, error: 0.00991867099218\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished rpca_ocsvm\n",
      "sklearn_IsolationForest==== (220, 784)\n",
      "Finished isolation-forest\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "[[ -2.81023540e-04]\n",
      " [  1.21459653e+01]\n",
      " [  3.13250914e+01]\n",
      " [  2.56049486e-04]\n",
      " [  3.59248746e+00]\n",
      " [  4.28693209e+01]\n",
      " [  1.62652380e+01]\n",
      " [  5.74962056e+00]\n",
      " [  4.77202549e+00]\n",
      " [  1.47103570e+01]\n",
      " [  1.20327346e+00]\n",
      " [  9.00184556e+00]\n",
      " [  1.17007789e+01]\n",
      " [  2.26650037e+01]\n",
      " [  1.50674629e+01]\n",
      " [  7.79722037e+00]\n",
      " [  1.96237186e+01]\n",
      " [  1.59085856e+01]\n",
      " [  3.85900269e+01]\n",
      " [  1.23417791e+01]\n",
      " [  2.34282647e+01]\n",
      " [  1.19373502e+01]\n",
      " [  3.79171411e+01]\n",
      " [  1.24764391e+01]\n",
      " [  1.35609238e+01]\n",
      " [  1.28675376e+01]\n",
      " [  2.01158980e+01]\n",
      " [  8.14398564e+00]\n",
      " [  6.76863889e+00]\n",
      " [  1.26426532e+01]\n",
      " [  3.31812276e+01]\n",
      " [  5.59117972e+00]\n",
      " [  1.95520014e+00]\n",
      " [  1.52518564e+01]\n",
      " [  8.56461836e+00]\n",
      " [ -5.57209539e-05]\n",
      " [  4.75741186e+00]\n",
      " [  4.68895096e+00]\n",
      " [  1.24906053e+01]\n",
      " [  1.15754967e+01]\n",
      " [  7.67869603e+00]\n",
      " [  1.03023656e+01]\n",
      " [  9.34087365e+00]\n",
      " [  1.95445008e+01]\n",
      " [  3.21848762e+00]\n",
      " [ -2.37310299e+00]\n",
      " [  3.97276298e+00]\n",
      " [  2.20259111e+01]\n",
      " [  2.95314803e+01]\n",
      " [  1.98754625e+00]\n",
      " [  9.26632172e+00]\n",
      " [  5.55840610e+00]\n",
      " [  9.49510601e+00]\n",
      " [  1.68826699e+01]\n",
      " [  1.29996698e+01]\n",
      " [  1.56991800e+01]\n",
      " [  1.24616076e+00]\n",
      " [  8.39398938e+00]\n",
      " [  7.23924396e+00]\n",
      " [  7.24949536e+00]\n",
      " [  2.90613074e+01]\n",
      " [  2.58902792e+01]\n",
      " [  2.30433014e-04]\n",
      " [  1.86741513e+01]\n",
      " [  1.15222675e+01]\n",
      " [  1.02276597e+01]\n",
      " [  1.93424285e+01]\n",
      " [  1.82442027e+00]\n",
      " [ -1.69575260e+00]\n",
      " [  1.88806581e+01]\n",
      " [  1.65218582e+01]\n",
      " [  1.11690929e+00]\n",
      " [  1.73913379e+01]\n",
      " [  2.48803729e+01]\n",
      " [  4.60184264e-04]\n",
      " [  2.00518598e+01]\n",
      " [  8.01498545e-01]\n",
      " [  5.84825598e+00]\n",
      " [  1.36735192e+01]\n",
      " [ -4.48576499e+00]\n",
      " [  2.72766575e+01]\n",
      " [  1.61192159e+01]\n",
      " [ -1.73031243e-04]\n",
      " [  1.31680549e+01]\n",
      " [  1.12936963e+01]\n",
      " [  2.17901874e+01]\n",
      " [  2.30703545e+01]\n",
      " [  3.83846053e+00]\n",
      " [  2.08311336e+01]\n",
      " [  2.45024510e+01]\n",
      " [  1.60573818e+01]\n",
      " [  5.44439009e+00]\n",
      " [  3.37735276e+01]\n",
      " [  3.22737710e+01]\n",
      " [  9.09857786e+00]\n",
      " [  1.81815945e+01]\n",
      " [  1.77867879e+01]\n",
      " [  1.88440187e+01]\n",
      " [  9.69874142e+00]\n",
      " [  9.14974403e+00]\n",
      " [  1.14166189e+01]\n",
      " [  1.55282374e+01]\n",
      " [  1.63915672e+01]\n",
      " [  2.40004594e+01]\n",
      " [  1.41428694e+01]\n",
      " [ -3.56647216e-04]\n",
      " [  1.36501318e+01]\n",
      " [  2.40451498e+01]\n",
      " [  4.07360227e+01]\n",
      " [  1.52922598e+00]\n",
      " [  2.52375941e-01]\n",
      " [  3.98305496e+00]\n",
      " [  3.05106356e-04]\n",
      " [  1.81112600e+01]\n",
      " [ -5.63779490e-05]\n",
      " [  1.73292553e+01]\n",
      " [  1.02614773e+01]\n",
      " [  6.95520833e+00]\n",
      " [  1.59647301e+00]\n",
      " [  3.44628455e+00]\n",
      " [  8.13850451e+00]\n",
      " [  1.49844230e+00]\n",
      " [  6.07169450e+00]\n",
      " [  6.07197294e+00]\n",
      " [  3.59186952e+01]\n",
      " [  2.52176996e+01]\n",
      " [  2.91990047e+01]\n",
      " [  7.14766946e-01]\n",
      " [  1.64013167e+01]\n",
      " [  4.60832173e+01]\n",
      " [  1.31715319e+01]\n",
      " [  5.08142571e+01]\n",
      " [  1.51632306e+01]\n",
      " [  3.70727668e+01]\n",
      " [  8.16992070e+00]\n",
      " [  1.85267335e+00]\n",
      " [  6.10456230e+01]\n",
      " [  1.61851111e+01]\n",
      " [  4.71638420e+01]\n",
      " [  6.59829984e+01]\n",
      " [  6.38282714e+01]\n",
      " [  4.80070365e+01]\n",
      " [  5.26314221e+00]\n",
      " [ -4.84566989e-05]\n",
      " [  4.12707896e+01]\n",
      " [  4.60040984e+01]\n",
      " [  2.90690924e+01]\n",
      " [  1.93550526e+01]\n",
      " [  9.38414830e+00]\n",
      " [  1.44720190e+01]\n",
      " [  1.59297305e+01]\n",
      " [ -2.25154433e-06]\n",
      " [  2.64788070e+01]\n",
      " [  2.14031104e+01]\n",
      " [  3.40975653e+00]\n",
      " [  7.59159261e+00]\n",
      " [  2.03864640e+00]\n",
      " [  1.28327925e+01]\n",
      " [  1.53483987e+01]\n",
      " [  7.63249847e+00]\n",
      " [  1.77381384e+01]\n",
      " [  1.66942116e+01]\n",
      " [  1.93699389e+01]\n",
      " [  1.31471191e+01]\n",
      " [  7.14022280e+00]\n",
      " [  1.50000525e+01]\n",
      " [ -1.28632994e-04]\n",
      " [  1.69852633e+01]\n",
      " [  1.78085145e+01]\n",
      " [  3.94462203e+00]\n",
      " [  2.02515335e+01]\n",
      " [  1.67700118e+01]\n",
      " [  9.26982816e+00]\n",
      " [  3.24675590e+01]\n",
      " [  3.20943768e+00]\n",
      " [  1.04708615e+01]\n",
      " [  2.96455024e+01]\n",
      " [  4.23988711e+00]\n",
      " [  3.86972445e+00]\n",
      " [  3.72157103e-01]\n",
      " [  1.01830007e+01]\n",
      " [  6.70408503e+00]\n",
      " [  2.36898042e+01]\n",
      " [  3.61300693e+00]\n",
      " [  1.08081397e+00]\n",
      " [  9.78091988e+00]\n",
      " [  1.02449545e+01]\n",
      " [  2.04572029e+00]\n",
      " [  4.92669067e+00]\n",
      " [  2.34854882e-05]\n",
      " [  1.17365448e+01]\n",
      " [  6.48194211e+00]\n",
      " [  6.68653335e-01]\n",
      " [  2.39212697e+01]\n",
      " [  1.91262384e+01]\n",
      " [  5.06558896e+00]\n",
      " [  6.04322788e+00]\n",
      " [  3.18987757e+00]\n",
      " [  1.31695001e+01]\n",
      " [  2.90738847e+01]\n",
      " [  3.75903816e+01]\n",
      " [  7.80240512e+00]\n",
      " [  5.19849279e+01]\n",
      " [  1.96765992e+01]\n",
      " [  2.61150095e+01]\n",
      " [  1.08199502e+01]\n",
      " [  4.02537493e+00]\n",
      " [  2.15251679e+01]\n",
      " [  2.01527083e+00]\n",
      " [  2.27862933e+01]\n",
      " [  2.65492658e+01]\n",
      " [  1.60354497e+01]\n",
      " [  3.76642990e+01]\n",
      " [  8.65366483e+00]\n",
      " [  2.80086063e+01]\n",
      " [  3.95889523e+01]\n",
      " [ -1.73204158e-04]\n",
      " [  3.23587580e+01]\n",
      " [  2.74765383e+01]\n",
      " [  2.16616752e+01]]\n",
      "[[  6.36791972]\n",
      " [ 14.52329287]\n",
      " [ 25.61528097]\n",
      " [ 25.23416354]\n",
      " [ 15.58790555]\n",
      " [ 12.29736598]\n",
      " [  1.70566295]\n",
      " [ 11.74946016]\n",
      " [ 15.15270027]\n",
      " [  3.86301752]\n",
      " [  5.62844026]]\n",
      "AE2_SVDD_rbf+ [[ -2.81023540e-04]\n",
      " [  1.21459653e+01]\n",
      " [  3.13250914e+01]\n",
      " [  2.56049486e-04]\n",
      " [  3.59248746e+00]\n",
      " [  4.28693209e+01]\n",
      " [  1.62652380e+01]\n",
      " [  5.74962056e+00]\n",
      " [  4.77202549e+00]\n",
      " [  1.47103570e+01]\n",
      " [  1.20327346e+00]\n",
      " [  9.00184556e+00]\n",
      " [  1.17007789e+01]\n",
      " [  2.26650037e+01]\n",
      " [  1.50674629e+01]\n",
      " [  7.79722037e+00]\n",
      " [  1.96237186e+01]\n",
      " [  1.59085856e+01]\n",
      " [  3.85900269e+01]\n",
      " [  1.23417791e+01]\n",
      " [  2.34282647e+01]\n",
      " [  1.19373502e+01]\n",
      " [  3.79171411e+01]\n",
      " [  1.24764391e+01]\n",
      " [  1.35609238e+01]\n",
      " [  1.28675376e+01]\n",
      " [  2.01158980e+01]\n",
      " [  8.14398564e+00]\n",
      " [  6.76863889e+00]\n",
      " [  1.26426532e+01]\n",
      " [  3.31812276e+01]\n",
      " [  5.59117972e+00]\n",
      " [  1.95520014e+00]\n",
      " [  1.52518564e+01]\n",
      " [  8.56461836e+00]\n",
      " [ -5.57209539e-05]\n",
      " [  4.75741186e+00]\n",
      " [  4.68895096e+00]\n",
      " [  1.24906053e+01]\n",
      " [  1.15754967e+01]\n",
      " [  7.67869603e+00]\n",
      " [  1.03023656e+01]\n",
      " [  9.34087365e+00]\n",
      " [  1.95445008e+01]\n",
      " [  3.21848762e+00]\n",
      " [ -2.37310299e+00]\n",
      " [  3.97276298e+00]\n",
      " [  2.20259111e+01]\n",
      " [  2.95314803e+01]\n",
      " [  1.98754625e+00]\n",
      " [  9.26632172e+00]\n",
      " [  5.55840610e+00]\n",
      " [  9.49510601e+00]\n",
      " [  1.68826699e+01]\n",
      " [  1.29996698e+01]\n",
      " [  1.56991800e+01]\n",
      " [  1.24616076e+00]\n",
      " [  8.39398938e+00]\n",
      " [  7.23924396e+00]\n",
      " [  7.24949536e+00]\n",
      " [  2.90613074e+01]\n",
      " [  2.58902792e+01]\n",
      " [  2.30433014e-04]\n",
      " [  1.86741513e+01]\n",
      " [  1.15222675e+01]\n",
      " [  1.02276597e+01]\n",
      " [  1.93424285e+01]\n",
      " [  1.82442027e+00]\n",
      " [ -1.69575260e+00]\n",
      " [  1.88806581e+01]\n",
      " [  1.65218582e+01]\n",
      " [  1.11690929e+00]\n",
      " [  1.73913379e+01]\n",
      " [  2.48803729e+01]\n",
      " [  4.60184264e-04]\n",
      " [  2.00518598e+01]\n",
      " [  8.01498545e-01]\n",
      " [  5.84825598e+00]\n",
      " [  1.36735192e+01]\n",
      " [ -4.48576499e+00]\n",
      " [  2.72766575e+01]\n",
      " [  1.61192159e+01]\n",
      " [ -1.73031243e-04]\n",
      " [  1.31680549e+01]\n",
      " [  1.12936963e+01]\n",
      " [  2.17901874e+01]\n",
      " [  2.30703545e+01]\n",
      " [  3.83846053e+00]\n",
      " [  2.08311336e+01]\n",
      " [  2.45024510e+01]\n",
      " [  1.60573818e+01]\n",
      " [  5.44439009e+00]\n",
      " [  3.37735276e+01]\n",
      " [  3.22737710e+01]\n",
      " [  9.09857786e+00]\n",
      " [  1.81815945e+01]\n",
      " [  1.77867879e+01]\n",
      " [  1.88440187e+01]\n",
      " [  9.69874142e+00]\n",
      " [  9.14974403e+00]\n",
      " [  1.14166189e+01]\n",
      " [  1.55282374e+01]\n",
      " [  1.63915672e+01]\n",
      " [  2.40004594e+01]\n",
      " [  1.41428694e+01]\n",
      " [ -3.56647216e-04]\n",
      " [  1.36501318e+01]\n",
      " [  2.40451498e+01]\n",
      " [  4.07360227e+01]\n",
      " [  1.52922598e+00]\n",
      " [  2.52375941e-01]\n",
      " [  3.98305496e+00]\n",
      " [  3.05106356e-04]\n",
      " [  1.81112600e+01]\n",
      " [ -5.63779490e-05]\n",
      " [  1.73292553e+01]\n",
      " [  1.02614773e+01]\n",
      " [  6.95520833e+00]\n",
      " [  1.59647301e+00]\n",
      " [  3.44628455e+00]\n",
      " [  8.13850451e+00]\n",
      " [  1.49844230e+00]\n",
      " [  6.07169450e+00]\n",
      " [  6.07197294e+00]\n",
      " [  3.59186952e+01]\n",
      " [  2.52176996e+01]\n",
      " [  2.91990047e+01]\n",
      " [  7.14766946e-01]\n",
      " [  1.64013167e+01]\n",
      " [  4.60832173e+01]\n",
      " [  1.31715319e+01]\n",
      " [  5.08142571e+01]\n",
      " [  1.51632306e+01]\n",
      " [  3.70727668e+01]\n",
      " [  8.16992070e+00]\n",
      " [  1.85267335e+00]\n",
      " [  6.10456230e+01]\n",
      " [  1.61851111e+01]\n",
      " [  4.71638420e+01]\n",
      " [  6.59829984e+01]\n",
      " [  6.38282714e+01]\n",
      " [  4.80070365e+01]\n",
      " [  5.26314221e+00]\n",
      " [ -4.84566989e-05]\n",
      " [  4.12707896e+01]\n",
      " [  4.60040984e+01]\n",
      " [  2.90690924e+01]\n",
      " [  1.93550526e+01]\n",
      " [  9.38414830e+00]\n",
      " [  1.44720190e+01]\n",
      " [  1.59297305e+01]\n",
      " [ -2.25154433e-06]\n",
      " [  2.64788070e+01]\n",
      " [  2.14031104e+01]\n",
      " [  3.40975653e+00]\n",
      " [  7.59159261e+00]\n",
      " [  2.03864640e+00]\n",
      " [  1.28327925e+01]\n",
      " [  1.53483987e+01]\n",
      " [  7.63249847e+00]\n",
      " [  1.77381384e+01]\n",
      " [  1.66942116e+01]\n",
      " [  1.93699389e+01]\n",
      " [  1.31471191e+01]\n",
      " [  7.14022280e+00]\n",
      " [  1.50000525e+01]\n",
      " [ -1.28632994e-04]\n",
      " [  1.69852633e+01]\n",
      " [  1.78085145e+01]\n",
      " [  3.94462203e+00]\n",
      " [  2.02515335e+01]\n",
      " [  1.67700118e+01]\n",
      " [  9.26982816e+00]\n",
      " [  3.24675590e+01]\n",
      " [  3.20943768e+00]\n",
      " [  1.04708615e+01]\n",
      " [  2.96455024e+01]\n",
      " [  4.23988711e+00]\n",
      " [  3.86972445e+00]\n",
      " [  3.72157103e-01]\n",
      " [  1.01830007e+01]\n",
      " [  6.70408503e+00]\n",
      " [  2.36898042e+01]\n",
      " [  3.61300693e+00]\n",
      " [  1.08081397e+00]\n",
      " [  9.78091988e+00]\n",
      " [  1.02449545e+01]\n",
      " [  2.04572029e+00]\n",
      " [  4.92669067e+00]\n",
      " [  2.34854882e-05]\n",
      " [  1.17365448e+01]\n",
      " [  6.48194211e+00]\n",
      " [  6.68653335e-01]\n",
      " [  2.39212697e+01]\n",
      " [  1.91262384e+01]\n",
      " [  5.06558896e+00]\n",
      " [  6.04322788e+00]\n",
      " [  3.18987757e+00]\n",
      " [  1.31695001e+01]\n",
      " [  2.90738847e+01]\n",
      " [  3.75903816e+01]\n",
      " [  7.80240512e+00]\n",
      " [  5.19849279e+01]\n",
      " [  1.96765992e+01]\n",
      " [  2.61150095e+01]\n",
      " [  1.08199502e+01]\n",
      " [  4.02537493e+00]\n",
      " [  2.15251679e+01]\n",
      " [  2.01527083e+00]\n",
      " [  2.27862933e+01]\n",
      " [  2.65492658e+01]\n",
      " [  1.60354497e+01]\n",
      " [  3.76642990e+01]\n",
      " [  8.65366483e+00]\n",
      " [  2.80086063e+01]\n",
      " [  3.95889523e+01]\n",
      " [ -1.73204158e-04]\n",
      " [  3.23587580e+01]\n",
      " [  2.74765383e+01]\n",
      " [  2.16616752e+01]]\n",
      "AE2_SVDD_rbf- [[  6.36791972]\n",
      " [ 14.52329287]\n",
      " [ 25.61528097]\n",
      " [ 25.23416354]\n",
      " [ 15.58790555]\n",
      " [ 12.29736598]\n",
      " [  1.70566295]\n",
      " [ 11.74946016]\n",
      " [ 15.15270027]\n",
      " [  3.86301752]\n",
      " [  5.62844026]]\n",
      "Finished ae_ocsvm-linear\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "[[  1.47596655e-01]\n",
      " [  1.51362254e-01]\n",
      " [  2.80454137e-01]\n",
      " [  2.76049486e-01]\n",
      " [  2.12606092e-01]\n",
      " [  2.05072584e-01]\n",
      " [  5.43352394e-04]\n",
      " [  1.70664741e-01]\n",
      " [  1.58064010e-02]\n",
      " [  1.90551170e-01]\n",
      " [  3.69864092e-01]\n",
      " [  3.60819527e-01]\n",
      " [  1.61662988e-01]\n",
      " [  2.17624304e-01]\n",
      " [  2.64955660e-01]\n",
      " [  2.78160775e-01]\n",
      " [  8.09088658e-05]\n",
      " [  2.76487303e-01]\n",
      " [  2.76353166e-01]\n",
      " [  2.71472235e-01]\n",
      " [  2.74992406e-01]\n",
      " [  3.08528218e-01]\n",
      " [  7.44144418e-02]\n",
      " [  3.00304369e-01]\n",
      " [  2.83217515e-01]\n",
      " [  3.08712989e-01]\n",
      " [  1.03855784e-01]\n",
      " [  3.19894769e-01]\n",
      " [  3.40416631e-01]\n",
      " [  2.12076576e-01]\n",
      " [  2.53549082e-01]\n",
      " [  2.60855583e-01]\n",
      " [  3.45054365e-01]\n",
      " [  2.76260047e-01]\n",
      " [  2.02478696e-01]\n",
      " [  2.60415157e-01]\n",
      " [  3.09871819e-01]\n",
      " [  1.62398649e-01]\n",
      " [  2.03517806e-01]\n",
      " [  3.36077442e-01]\n",
      " [  3.75070659e-01]\n",
      " [  3.50384900e-01]\n",
      " [  2.37343164e-01]\n",
      " [  2.87403228e-01]\n",
      " [  3.09883618e-01]\n",
      " [  2.90277336e-01]\n",
      " [  1.99417613e-01]\n",
      " [  3.47752714e-04]\n",
      " [  2.36074703e-01]\n",
      " [  2.60485605e-01]\n",
      " [  1.23984225e-01]\n",
      " [  1.97588763e-01]\n",
      " [  2.36051825e-01]\n",
      " [  3.11399915e-01]\n",
      " [  2.34774941e-01]\n",
      " [  1.09417977e-01]\n",
      " [  6.32755323e-02]\n",
      " [  3.69047325e-01]\n",
      " [  3.08157814e-01]\n",
      " [  8.08421320e-02]\n",
      " [ -7.81199411e-06]\n",
      " [  1.32472143e-01]\n",
      " [  1.44432255e-01]\n",
      " [  2.33646125e-01]\n",
      " [  8.09937886e-05]\n",
      " [  2.23294691e-01]\n",
      " [  9.06595136e-02]\n",
      " [  1.68218482e-01]\n",
      " [  3.18385693e-01]\n",
      " [  2.05135373e-01]\n",
      " [  6.71408663e-03]\n",
      " [  2.75374249e-01]\n",
      " [  1.70468437e-01]\n",
      " [  1.12771232e-01]\n",
      " [  8.58426017e-02]\n",
      " [  2.42527130e-02]\n",
      " [  1.58657732e-01]\n",
      " [  1.93628023e-01]\n",
      " [  9.78570282e-03]\n",
      " [  2.98763092e-01]\n",
      " [  2.35255690e-01]\n",
      " [  1.60880227e-01]\n",
      " [ -3.51338989e-04]\n",
      " [  2.54117029e-01]\n",
      " [  1.78968361e-04]\n",
      " [  1.58447265e-01]\n",
      " [  1.18055996e-01]\n",
      " [  2.17779058e-01]\n",
      " [  1.35727770e-01]\n",
      " [  1.14951181e-01]\n",
      " [  3.94174412e-01]\n",
      " [  1.83692298e-01]\n",
      " [  1.59357036e-01]\n",
      " [ -3.68082010e-04]\n",
      " [  2.02515959e-01]\n",
      " [  2.69228415e-01]\n",
      " [  2.68669961e-01]\n",
      " [  2.52883598e-01]\n",
      " [  1.64318901e-01]\n",
      " [  2.53043973e-01]\n",
      " [  1.44313043e-01]\n",
      " [  2.11305899e-01]\n",
      " [  2.40138518e-01]\n",
      " [  2.64225333e-01]\n",
      " [  4.74362622e-05]\n",
      " [  1.56612606e-01]\n",
      " [  2.03945978e-01]\n",
      " [  2.47257841e-01]\n",
      " [ -3.79112561e-05]\n",
      " [  2.36277809e-01]\n",
      " [  2.95379149e-02]\n",
      " [  1.81875627e-01]\n",
      " [  1.43513368e-01]\n",
      " [  9.69080678e-02]\n",
      " [  2.47469614e-01]\n",
      " [  2.10853608e-01]\n",
      " [  1.15477323e-01]\n",
      " [  2.46611055e-01]\n",
      " [  2.02808393e-01]\n",
      " [  7.76555363e-02]\n",
      " [  2.76398696e-01]\n",
      " [  3.77930197e-01]\n",
      " [  2.50935548e-01]\n",
      " [  2.76708121e-01]\n",
      " [  1.59527275e-01]\n",
      " [  2.48584706e-01]\n",
      " [  1.99796481e-01]\n",
      " [  2.65945577e-01]\n",
      " [  2.30609447e-01]\n",
      " [  2.54872247e-01]\n",
      " [  3.01299151e-01]\n",
      " [  2.33044628e-04]\n",
      " [  1.94535724e-01]\n",
      " [  8.87488703e-02]\n",
      " [  2.10132995e-01]\n",
      " [ -2.30864278e-04]\n",
      " [ -4.16265438e-04]\n",
      " [  2.31444994e-01]\n",
      " [  2.65299950e-01]\n",
      " [ -6.29535328e-05]\n",
      " [  2.88641890e-02]\n",
      " [  6.59591133e-02]\n",
      " [  3.35491496e-01]\n",
      " [  2.57538325e-01]\n",
      " [  3.60634953e-01]\n",
      " [  3.33304173e-01]\n",
      " [  4.19062273e-01]\n",
      " [  1.77083049e-02]\n",
      " [  2.17278740e-01]\n",
      " [  1.67570075e-01]\n",
      " [  2.89378605e-01]\n",
      " [  9.11061224e-02]\n",
      " [  1.79438960e-01]\n",
      " [  1.14946819e-04]\n",
      " [  2.91927624e-01]\n",
      " [  1.71412016e-01]\n",
      " [  2.20533471e-01]\n",
      " [  7.80555079e-02]\n",
      " [  2.80901016e-01]\n",
      " [  2.91216204e-01]\n",
      " [  2.97906857e-01]\n",
      " [  1.90386964e-01]\n",
      " [  2.01732779e-01]\n",
      " [  1.99588545e-01]\n",
      " [  1.91172860e-01]\n",
      " [  3.42338323e-01]\n",
      " [  1.31084718e-01]\n",
      " [  2.31620939e-01]\n",
      " [  9.87624311e-02]\n",
      " [  2.84057305e-01]\n",
      " [  2.13678652e-01]\n",
      " [  1.37784519e-01]\n",
      " [  2.04421787e-01]\n",
      " [  2.30926096e-01]\n",
      " [  3.82475062e-01]\n",
      " [  5.24779117e-02]\n",
      " [  1.67811161e-01]\n",
      " [  2.23030368e-01]\n",
      " [  2.94388872e-01]\n",
      " [  3.72167873e-01]\n",
      " [  2.15568151e-01]\n",
      " [  2.12465188e-01]\n",
      " [  2.93200523e-01]\n",
      " [  2.61604837e-01]\n",
      " [  2.35301609e-01]\n",
      " [  3.75976588e-01]\n",
      " [  3.15215319e-01]\n",
      " [  3.13048028e-02]\n",
      " [  3.02457893e-01]\n",
      " [  3.24468741e-01]\n",
      " [  2.32495682e-01]\n",
      " [  2.34250391e-01]\n",
      " [  2.56777935e-01]\n",
      " [  2.50574330e-02]\n",
      " [ -3.44179388e-04]\n",
      " [  3.41984358e-02]\n",
      " [  1.94915009e-01]\n",
      " [  2.88884512e-01]\n",
      " [  9.26969127e-02]\n",
      " [  1.68937903e-01]\n",
      " [  1.54692046e-01]\n",
      " [  2.13602542e-01]\n",
      " [  1.00178287e-04]\n",
      " [  3.81714898e-01]\n",
      " [  4.65349651e-01]\n",
      " [  2.96989500e-01]\n",
      " [  1.29559462e-01]\n",
      " [  2.24232341e-01]\n",
      " [  2.89262356e-01]\n",
      " [  2.90376117e-01]\n",
      " [  2.36151131e-01]\n",
      " [  1.40323674e-01]\n",
      " [  1.67715640e-01]\n",
      " [  1.69594369e-01]\n",
      " [  3.66534298e-01]\n",
      " [  2.74366813e-01]\n",
      " [  3.30268377e-01]\n",
      " [  3.98173509e-04]\n",
      " [ -3.06194578e-04]\n",
      " [  3.11945892e-01]]\n",
      "[[-0.0629756 ]\n",
      " [-0.28434326]\n",
      " [ 0.06124651]\n",
      " [ 0.02636192]\n",
      " [-0.50308747]\n",
      " [ 0.0202489 ]\n",
      " [ 0.18622719]\n",
      " [ 0.16886983]\n",
      " [ 0.2273297 ]\n",
      " [-0.0170145 ]\n",
      " [ 0.22275137]]\n",
      "AE2_SVDD_rbf+ [[  1.47596655e-01]\n",
      " [  1.51362254e-01]\n",
      " [  2.80454137e-01]\n",
      " [  2.76049486e-01]\n",
      " [  2.12606092e-01]\n",
      " [  2.05072584e-01]\n",
      " [  5.43352394e-04]\n",
      " [  1.70664741e-01]\n",
      " [  1.58064010e-02]\n",
      " [  1.90551170e-01]\n",
      " [  3.69864092e-01]\n",
      " [  3.60819527e-01]\n",
      " [  1.61662988e-01]\n",
      " [  2.17624304e-01]\n",
      " [  2.64955660e-01]\n",
      " [  2.78160775e-01]\n",
      " [  8.09088658e-05]\n",
      " [  2.76487303e-01]\n",
      " [  2.76353166e-01]\n",
      " [  2.71472235e-01]\n",
      " [  2.74992406e-01]\n",
      " [  3.08528218e-01]\n",
      " [  7.44144418e-02]\n",
      " [  3.00304369e-01]\n",
      " [  2.83217515e-01]\n",
      " [  3.08712989e-01]\n",
      " [  1.03855784e-01]\n",
      " [  3.19894769e-01]\n",
      " [  3.40416631e-01]\n",
      " [  2.12076576e-01]\n",
      " [  2.53549082e-01]\n",
      " [  2.60855583e-01]\n",
      " [  3.45054365e-01]\n",
      " [  2.76260047e-01]\n",
      " [  2.02478696e-01]\n",
      " [  2.60415157e-01]\n",
      " [  3.09871819e-01]\n",
      " [  1.62398649e-01]\n",
      " [  2.03517806e-01]\n",
      " [  3.36077442e-01]\n",
      " [  3.75070659e-01]\n",
      " [  3.50384900e-01]\n",
      " [  2.37343164e-01]\n",
      " [  2.87403228e-01]\n",
      " [  3.09883618e-01]\n",
      " [  2.90277336e-01]\n",
      " [  1.99417613e-01]\n",
      " [  3.47752714e-04]\n",
      " [  2.36074703e-01]\n",
      " [  2.60485605e-01]\n",
      " [  1.23984225e-01]\n",
      " [  1.97588763e-01]\n",
      " [  2.36051825e-01]\n",
      " [  3.11399915e-01]\n",
      " [  2.34774941e-01]\n",
      " [  1.09417977e-01]\n",
      " [  6.32755323e-02]\n",
      " [  3.69047325e-01]\n",
      " [  3.08157814e-01]\n",
      " [  8.08421320e-02]\n",
      " [ -7.81199411e-06]\n",
      " [  1.32472143e-01]\n",
      " [  1.44432255e-01]\n",
      " [  2.33646125e-01]\n",
      " [  8.09937886e-05]\n",
      " [  2.23294691e-01]\n",
      " [  9.06595136e-02]\n",
      " [  1.68218482e-01]\n",
      " [  3.18385693e-01]\n",
      " [  2.05135373e-01]\n",
      " [  6.71408663e-03]\n",
      " [  2.75374249e-01]\n",
      " [  1.70468437e-01]\n",
      " [  1.12771232e-01]\n",
      " [  8.58426017e-02]\n",
      " [  2.42527130e-02]\n",
      " [  1.58657732e-01]\n",
      " [  1.93628023e-01]\n",
      " [  9.78570282e-03]\n",
      " [  2.98763092e-01]\n",
      " [  2.35255690e-01]\n",
      " [  1.60880227e-01]\n",
      " [ -3.51338989e-04]\n",
      " [  2.54117029e-01]\n",
      " [  1.78968361e-04]\n",
      " [  1.58447265e-01]\n",
      " [  1.18055996e-01]\n",
      " [  2.17779058e-01]\n",
      " [  1.35727770e-01]\n",
      " [  1.14951181e-01]\n",
      " [  3.94174412e-01]\n",
      " [  1.83692298e-01]\n",
      " [  1.59357036e-01]\n",
      " [ -3.68082010e-04]\n",
      " [  2.02515959e-01]\n",
      " [  2.69228415e-01]\n",
      " [  2.68669961e-01]\n",
      " [  2.52883598e-01]\n",
      " [  1.64318901e-01]\n",
      " [  2.53043973e-01]\n",
      " [  1.44313043e-01]\n",
      " [  2.11305899e-01]\n",
      " [  2.40138518e-01]\n",
      " [  2.64225333e-01]\n",
      " [  4.74362622e-05]\n",
      " [  1.56612606e-01]\n",
      " [  2.03945978e-01]\n",
      " [  2.47257841e-01]\n",
      " [ -3.79112561e-05]\n",
      " [  2.36277809e-01]\n",
      " [  2.95379149e-02]\n",
      " [  1.81875627e-01]\n",
      " [  1.43513368e-01]\n",
      " [  9.69080678e-02]\n",
      " [  2.47469614e-01]\n",
      " [  2.10853608e-01]\n",
      " [  1.15477323e-01]\n",
      " [  2.46611055e-01]\n",
      " [  2.02808393e-01]\n",
      " [  7.76555363e-02]\n",
      " [  2.76398696e-01]\n",
      " [  3.77930197e-01]\n",
      " [  2.50935548e-01]\n",
      " [  2.76708121e-01]\n",
      " [  1.59527275e-01]\n",
      " [  2.48584706e-01]\n",
      " [  1.99796481e-01]\n",
      " [  2.65945577e-01]\n",
      " [  2.30609447e-01]\n",
      " [  2.54872247e-01]\n",
      " [  3.01299151e-01]\n",
      " [  2.33044628e-04]\n",
      " [  1.94535724e-01]\n",
      " [  8.87488703e-02]\n",
      " [  2.10132995e-01]\n",
      " [ -2.30864278e-04]\n",
      " [ -4.16265438e-04]\n",
      " [  2.31444994e-01]\n",
      " [  2.65299950e-01]\n",
      " [ -6.29535328e-05]\n",
      " [  2.88641890e-02]\n",
      " [  6.59591133e-02]\n",
      " [  3.35491496e-01]\n",
      " [  2.57538325e-01]\n",
      " [  3.60634953e-01]\n",
      " [  3.33304173e-01]\n",
      " [  4.19062273e-01]\n",
      " [  1.77083049e-02]\n",
      " [  2.17278740e-01]\n",
      " [  1.67570075e-01]\n",
      " [  2.89378605e-01]\n",
      " [  9.11061224e-02]\n",
      " [  1.79438960e-01]\n",
      " [  1.14946819e-04]\n",
      " [  2.91927624e-01]\n",
      " [  1.71412016e-01]\n",
      " [  2.20533471e-01]\n",
      " [  7.80555079e-02]\n",
      " [  2.80901016e-01]\n",
      " [  2.91216204e-01]\n",
      " [  2.97906857e-01]\n",
      " [  1.90386964e-01]\n",
      " [  2.01732779e-01]\n",
      " [  1.99588545e-01]\n",
      " [  1.91172860e-01]\n",
      " [  3.42338323e-01]\n",
      " [  1.31084718e-01]\n",
      " [  2.31620939e-01]\n",
      " [  9.87624311e-02]\n",
      " [  2.84057305e-01]\n",
      " [  2.13678652e-01]\n",
      " [  1.37784519e-01]\n",
      " [  2.04421787e-01]\n",
      " [  2.30926096e-01]\n",
      " [  3.82475062e-01]\n",
      " [  5.24779117e-02]\n",
      " [  1.67811161e-01]\n",
      " [  2.23030368e-01]\n",
      " [  2.94388872e-01]\n",
      " [  3.72167873e-01]\n",
      " [  2.15568151e-01]\n",
      " [  2.12465188e-01]\n",
      " [  2.93200523e-01]\n",
      " [  2.61604837e-01]\n",
      " [  2.35301609e-01]\n",
      " [  3.75976588e-01]\n",
      " [  3.15215319e-01]\n",
      " [  3.13048028e-02]\n",
      " [  3.02457893e-01]\n",
      " [  3.24468741e-01]\n",
      " [  2.32495682e-01]\n",
      " [  2.34250391e-01]\n",
      " [  2.56777935e-01]\n",
      " [  2.50574330e-02]\n",
      " [ -3.44179388e-04]\n",
      " [  3.41984358e-02]\n",
      " [  1.94915009e-01]\n",
      " [  2.88884512e-01]\n",
      " [  9.26969127e-02]\n",
      " [  1.68937903e-01]\n",
      " [  1.54692046e-01]\n",
      " [  2.13602542e-01]\n",
      " [  1.00178287e-04]\n",
      " [  3.81714898e-01]\n",
      " [  4.65349651e-01]\n",
      " [  2.96989500e-01]\n",
      " [  1.29559462e-01]\n",
      " [  2.24232341e-01]\n",
      " [  2.89262356e-01]\n",
      " [  2.90376117e-01]\n",
      " [  2.36151131e-01]\n",
      " [  1.40323674e-01]\n",
      " [  1.67715640e-01]\n",
      " [  1.69594369e-01]\n",
      " [  3.66534298e-01]\n",
      " [  2.74366813e-01]\n",
      " [  3.30268377e-01]\n",
      " [  3.98173509e-04]\n",
      " [ -3.06194578e-04]\n",
      " [  3.11945892e-01]]\n",
      "AE2_SVDD_rbf- [[-0.0629756 ]\n",
      " [-0.28434326]\n",
      " [ 0.06124651]\n",
      " [ 0.02636192]\n",
      " [-0.50308747]\n",
      " [ 0.0202489 ]\n",
      " [ 0.18622719]\n",
      " [ 0.16886983]\n",
      " [ 0.2273297 ]\n",
      " [-0.0170145 ]\n",
      " [ 0.22275137]]\n",
      "Finished ae_ocsvm-sigmoid\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "[[  6.48308428e+00]\n",
      " [  9.67931026e+00]\n",
      " [  1.74322949e+01]\n",
      " [  4.06651458e+00]\n",
      " [  2.04413267e+00]\n",
      " [  1.18433085e+01]\n",
      " [  8.05681465e-01]\n",
      " [  4.75773562e+00]\n",
      " [  7.82405560e-01]\n",
      " [  1.18677507e+01]\n",
      " [  5.05185609e+00]\n",
      " [  1.14723587e+01]\n",
      " [  1.54514051e+01]\n",
      " [  9.70497396e+00]\n",
      " [  9.19908566e+00]\n",
      " [  6.58001144e+00]\n",
      " [ -3.95282789e-04]\n",
      " [  1.12127184e+01]\n",
      " [  1.32049966e+01]\n",
      " [  8.55262827e+00]\n",
      " [  1.36275280e+01]\n",
      " [  9.38549015e+00]\n",
      " [  1.32458909e+01]\n",
      " [  6.98934985e+00]\n",
      " [  1.34854276e+01]\n",
      " [  1.11117696e+01]\n",
      " [  1.21623196e+01]\n",
      " [  9.32878135e+00]\n",
      " [  9.01876805e+00]\n",
      " [  3.86202324e+00]\n",
      " [  1.70736412e+01]\n",
      " [  1.25950494e+01]\n",
      " [  1.67898300e-04]\n",
      " [  1.33555779e+01]\n",
      " [  4.22263105e+00]\n",
      " [ -1.92957587e-04]\n",
      " [  7.32587673e+00]\n",
      " [  1.02573467e+01]\n",
      " [  7.31753125e+00]\n",
      " [  9.42261547e+00]\n",
      " [  4.18252658e+00]\n",
      " [  8.24684797e+00]\n",
      " [  6.36006229e+00]\n",
      " [  6.64991411e+00]\n",
      " [  3.80981926e+00]\n",
      " [  1.54098457e+00]\n",
      " [  5.47520791e+00]\n",
      " [  4.67425621e+00]\n",
      " [  1.67220471e+01]\n",
      " [  3.19506225e+00]\n",
      " [  1.06010563e+01]\n",
      " [  8.31398556e+00]\n",
      " [  7.67314685e+00]\n",
      " [  9.81901126e+00]\n",
      " [  7.53262412e+00]\n",
      " [  1.13972645e+01]\n",
      " [  7.18892119e-01]\n",
      " [  1.71250858e+01]\n",
      " [  2.98001472e-04]\n",
      " [  1.16728155e+01]\n",
      " [  2.04659021e+01]\n",
      " [  1.43115032e+01]\n",
      " [  6.14234969e+00]\n",
      " [  8.36104598e+00]\n",
      " [  9.69177854e+00]\n",
      " [  9.06222921e+00]\n",
      " [  8.35294542e+00]\n",
      " [ -4.11848362e-04]\n",
      " [  1.94666314e+00]\n",
      " [  2.06533793e+00]\n",
      " [  6.59498697e+00]\n",
      " [  9.80598499e-05]\n",
      " [  1.22582861e+01]\n",
      " [  8.68168427e+00]\n",
      " [  6.25409288e+00]\n",
      " [  2.47742442e-04]\n",
      " [  2.88153006e+00]\n",
      " [  1.12395706e+01]\n",
      " [  1.04571729e+01]\n",
      " [ -4.50132565e-04]\n",
      " [  8.95393629e+00]\n",
      " [  1.46574256e+01]\n",
      " [ -1.46972739e+01]\n",
      " [  7.15412345e+00]\n",
      " [  5.38759809e+00]\n",
      " [  1.19092622e+01]\n",
      " [  1.87218818e+01]\n",
      " [  2.80234799e+00]\n",
      " [  1.29514908e+01]\n",
      " [  1.39072440e+01]\n",
      " [  7.52438121e+00]\n",
      " [  7.69148398e-05]\n",
      " [  1.57012600e+01]\n",
      " [  1.91572891e+01]\n",
      " [  1.12274634e+01]\n",
      " [  5.47946264e-01]\n",
      " [  9.75678891e+00]\n",
      " [  1.79655980e+00]\n",
      " [  1.10858212e+01]\n",
      " [  5.54979504e+00]\n",
      " [  7.22255561e+00]\n",
      " [  1.32565337e+01]\n",
      " [  4.90881397e+00]\n",
      " [  1.33724470e+01]\n",
      " [  1.00455861e+00]\n",
      " [  2.18233231e-04]\n",
      " [  9.54831184e+00]\n",
      " [  1.46734367e+01]\n",
      " [  1.28116351e+01]\n",
      " [  5.04182114e+00]\n",
      " [ -1.25507158e-04]\n",
      " [  6.22895893e+00]\n",
      " [  2.85632539e-04]\n",
      " [  7.26011465e+00]\n",
      " [  9.20107765e-01]\n",
      " [  6.70290549e+00]\n",
      " [  6.05138068e+00]\n",
      " [  2.94639978e+00]\n",
      " [  9.73071058e+00]\n",
      " [  4.47846256e+00]\n",
      " [  3.19491993e+00]\n",
      " [  3.52124300e+00]\n",
      " [  8.56740977e+00]\n",
      " [  1.16454292e+01]\n",
      " [  1.40759610e+01]\n",
      " [  2.63244426e+00]\n",
      " [  1.54276289e+01]\n",
      " [  1.75170569e+00]\n",
      " [  1.09727668e+01]\n",
      " [  1.84921717e+01]\n",
      " [  1.07831195e+01]\n",
      " [  1.30224927e+01]\n",
      " [  1.40014772e+01]\n",
      " [  1.52335438e+01]\n",
      " [  8.55156495e+00]\n",
      " [ -1.33651594e-04]\n",
      " [  2.38946336e+01]\n",
      " [  3.26159964e+00]\n",
      " [  1.44707690e+01]\n",
      " [  1.34463598e+01]\n",
      " [  1.47408388e+01]\n",
      " [  1.54168950e+01]\n",
      " [  4.32599632e+00]\n",
      " [  8.17295698e+00]\n",
      " [  1.37650393e+01]\n",
      " [  1.67359074e+01]\n",
      " [  1.33427971e+01]\n",
      " [  1.53715998e+01]\n",
      " [  1.06784125e+01]\n",
      " [  3.06773840e+00]\n",
      " [  1.08685182e+01]\n",
      " [  3.52525946e-04]\n",
      " [  1.45665029e+01]\n",
      " [  6.94405387e+00]\n",
      " [  7.89690384e+00]\n",
      " [ -2.18759889e-04]\n",
      " [  5.88819640e+00]\n",
      " [  6.43436331e+00]\n",
      " [  1.33062262e+01]\n",
      " [  1.22421879e+01]\n",
      " [  1.06714140e+01]\n",
      " [  1.15850395e+01]\n",
      " [  1.29810169e+01]\n",
      " [  1.34650065e+01]\n",
      " [  7.96962184e+00]\n",
      " [  1.20087094e+01]\n",
      " [ -4.44680270e-04]\n",
      " [  1.08121091e+01]\n",
      " [  1.06134191e+01]\n",
      " [  1.63635411e+00]\n",
      " [  9.52033241e+00]\n",
      " [  8.85615242e+00]\n",
      " [  3.06116321e+00]\n",
      " [  2.13869588e+01]\n",
      " [  5.59102740e-01]\n",
      " [  1.63058121e-04]\n",
      " [  1.46552529e+01]\n",
      " [  1.93815512e+00]\n",
      " [  7.07617446e+00]\n",
      " [  8.39186528e+00]\n",
      " [  5.66497844e+00]\n",
      " [  4.88970084e-01]\n",
      " [  1.29145118e+01]\n",
      " [  1.10132019e+01]\n",
      " [  7.11662753e+00]\n",
      " [  8.44448704e+00]\n",
      " [  7.44720569e+00]\n",
      " [  3.05761342e+00]\n",
      " [  2.87891774e-04]\n",
      " [  2.51306925e+00]\n",
      " [  6.83725255e+00]\n",
      " [  6.25979451e+00]\n",
      " [  4.68520044e+00]\n",
      " [  1.54188413e+01]\n",
      " [  6.70977250e+00]\n",
      " [  4.20475946e-04]\n",
      " [ -1.25235483e-04]\n",
      " [  4.34690192e+00]\n",
      " [ -1.17123735e-04]\n",
      " [  9.70961381e+00]\n",
      " [  1.74622333e+01]\n",
      " [  4.84737866e+00]\n",
      " [  2.40350115e+01]\n",
      " [  9.85422932e+00]\n",
      " [  9.15103483e+00]\n",
      " [  6.20550971e+00]\n",
      " [  2.52809930e+00]\n",
      " [  6.10593430e+00]\n",
      " [  1.03796154e+01]\n",
      " [  1.34825614e+01]\n",
      " [  1.34952329e+01]\n",
      " [  8.48706111e+00]\n",
      " [  1.46322935e+01]\n",
      " [  2.44744452e+00]\n",
      " [  2.15833530e+01]\n",
      " [  1.98968775e+01]\n",
      " [  4.06742699e+00]\n",
      " [  7.47879713e+00]\n",
      " [  1.30662969e+01]\n",
      " [  9.72051819e+00]]\n",
      "[[-33.23870787]\n",
      " [-25.65373158]\n",
      " [ -3.69823499]\n",
      " [ -8.66487479]\n",
      " [-25.98560702]\n",
      " [ 13.28589941]\n",
      " [ 11.58116165]\n",
      " [ 13.22587653]\n",
      " [  6.71090078]\n",
      " [  7.13196803]\n",
      " [  0.23088188]]\n",
      "AE2_SVDD_rbf+ [[  6.48308428e+00]\n",
      " [  9.67931026e+00]\n",
      " [  1.74322949e+01]\n",
      " [  4.06651458e+00]\n",
      " [  2.04413267e+00]\n",
      " [  1.18433085e+01]\n",
      " [  8.05681465e-01]\n",
      " [  4.75773562e+00]\n",
      " [  7.82405560e-01]\n",
      " [  1.18677507e+01]\n",
      " [  5.05185609e+00]\n",
      " [  1.14723587e+01]\n",
      " [  1.54514051e+01]\n",
      " [  9.70497396e+00]\n",
      " [  9.19908566e+00]\n",
      " [  6.58001144e+00]\n",
      " [ -3.95282789e-04]\n",
      " [  1.12127184e+01]\n",
      " [  1.32049966e+01]\n",
      " [  8.55262827e+00]\n",
      " [  1.36275280e+01]\n",
      " [  9.38549015e+00]\n",
      " [  1.32458909e+01]\n",
      " [  6.98934985e+00]\n",
      " [  1.34854276e+01]\n",
      " [  1.11117696e+01]\n",
      " [  1.21623196e+01]\n",
      " [  9.32878135e+00]\n",
      " [  9.01876805e+00]\n",
      " [  3.86202324e+00]\n",
      " [  1.70736412e+01]\n",
      " [  1.25950494e+01]\n",
      " [  1.67898300e-04]\n",
      " [  1.33555779e+01]\n",
      " [  4.22263105e+00]\n",
      " [ -1.92957587e-04]\n",
      " [  7.32587673e+00]\n",
      " [  1.02573467e+01]\n",
      " [  7.31753125e+00]\n",
      " [  9.42261547e+00]\n",
      " [  4.18252658e+00]\n",
      " [  8.24684797e+00]\n",
      " [  6.36006229e+00]\n",
      " [  6.64991411e+00]\n",
      " [  3.80981926e+00]\n",
      " [  1.54098457e+00]\n",
      " [  5.47520791e+00]\n",
      " [  4.67425621e+00]\n",
      " [  1.67220471e+01]\n",
      " [  3.19506225e+00]\n",
      " [  1.06010563e+01]\n",
      " [  8.31398556e+00]\n",
      " [  7.67314685e+00]\n",
      " [  9.81901126e+00]\n",
      " [  7.53262412e+00]\n",
      " [  1.13972645e+01]\n",
      " [  7.18892119e-01]\n",
      " [  1.71250858e+01]\n",
      " [  2.98001472e-04]\n",
      " [  1.16728155e+01]\n",
      " [  2.04659021e+01]\n",
      " [  1.43115032e+01]\n",
      " [  6.14234969e+00]\n",
      " [  8.36104598e+00]\n",
      " [  9.69177854e+00]\n",
      " [  9.06222921e+00]\n",
      " [  8.35294542e+00]\n",
      " [ -4.11848362e-04]\n",
      " [  1.94666314e+00]\n",
      " [  2.06533793e+00]\n",
      " [  6.59498697e+00]\n",
      " [  9.80598499e-05]\n",
      " [  1.22582861e+01]\n",
      " [  8.68168427e+00]\n",
      " [  6.25409288e+00]\n",
      " [  2.47742442e-04]\n",
      " [  2.88153006e+00]\n",
      " [  1.12395706e+01]\n",
      " [  1.04571729e+01]\n",
      " [ -4.50132565e-04]\n",
      " [  8.95393629e+00]\n",
      " [  1.46574256e+01]\n",
      " [ -1.46972739e+01]\n",
      " [  7.15412345e+00]\n",
      " [  5.38759809e+00]\n",
      " [  1.19092622e+01]\n",
      " [  1.87218818e+01]\n",
      " [  2.80234799e+00]\n",
      " [  1.29514908e+01]\n",
      " [  1.39072440e+01]\n",
      " [  7.52438121e+00]\n",
      " [  7.69148398e-05]\n",
      " [  1.57012600e+01]\n",
      " [  1.91572891e+01]\n",
      " [  1.12274634e+01]\n",
      " [  5.47946264e-01]\n",
      " [  9.75678891e+00]\n",
      " [  1.79655980e+00]\n",
      " [  1.10858212e+01]\n",
      " [  5.54979504e+00]\n",
      " [  7.22255561e+00]\n",
      " [  1.32565337e+01]\n",
      " [  4.90881397e+00]\n",
      " [  1.33724470e+01]\n",
      " [  1.00455861e+00]\n",
      " [  2.18233231e-04]\n",
      " [  9.54831184e+00]\n",
      " [  1.46734367e+01]\n",
      " [  1.28116351e+01]\n",
      " [  5.04182114e+00]\n",
      " [ -1.25507158e-04]\n",
      " [  6.22895893e+00]\n",
      " [  2.85632539e-04]\n",
      " [  7.26011465e+00]\n",
      " [  9.20107765e-01]\n",
      " [  6.70290549e+00]\n",
      " [  6.05138068e+00]\n",
      " [  2.94639978e+00]\n",
      " [  9.73071058e+00]\n",
      " [  4.47846256e+00]\n",
      " [  3.19491993e+00]\n",
      " [  3.52124300e+00]\n",
      " [  8.56740977e+00]\n",
      " [  1.16454292e+01]\n",
      " [  1.40759610e+01]\n",
      " [  2.63244426e+00]\n",
      " [  1.54276289e+01]\n",
      " [  1.75170569e+00]\n",
      " [  1.09727668e+01]\n",
      " [  1.84921717e+01]\n",
      " [  1.07831195e+01]\n",
      " [  1.30224927e+01]\n",
      " [  1.40014772e+01]\n",
      " [  1.52335438e+01]\n",
      " [  8.55156495e+00]\n",
      " [ -1.33651594e-04]\n",
      " [  2.38946336e+01]\n",
      " [  3.26159964e+00]\n",
      " [  1.44707690e+01]\n",
      " [  1.34463598e+01]\n",
      " [  1.47408388e+01]\n",
      " [  1.54168950e+01]\n",
      " [  4.32599632e+00]\n",
      " [  8.17295698e+00]\n",
      " [  1.37650393e+01]\n",
      " [  1.67359074e+01]\n",
      " [  1.33427971e+01]\n",
      " [  1.53715998e+01]\n",
      " [  1.06784125e+01]\n",
      " [  3.06773840e+00]\n",
      " [  1.08685182e+01]\n",
      " [  3.52525946e-04]\n",
      " [  1.45665029e+01]\n",
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      " [  7.11662753e+00]\n",
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      " [  3.05761342e+00]\n",
      " [  2.87891774e-04]\n",
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      " [  1.54188413e+01]\n",
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      " [  4.20475946e-04]\n",
      " [ -1.25235483e-04]\n",
      " [  4.34690192e+00]\n",
      " [ -1.17123735e-04]\n",
      " [  9.70961381e+00]\n",
      " [  1.74622333e+01]\n",
      " [  4.84737866e+00]\n",
      " [  2.40350115e+01]\n",
      " [  9.85422932e+00]\n",
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      " [  6.20550971e+00]\n",
      " [  2.52809930e+00]\n",
      " [  6.10593430e+00]\n",
      " [  1.03796154e+01]\n",
      " [  1.34825614e+01]\n",
      " [  1.34952329e+01]\n",
      " [  8.48706111e+00]\n",
      " [  1.46322935e+01]\n",
      " [  2.44744452e+00]\n",
      " [  2.15833530e+01]\n",
      " [  1.98968775e+01]\n",
      " [  4.06742699e+00]\n",
      " [  7.47879713e+00]\n",
      " [  1.30662969e+01]\n",
      " [  9.72051819e+00]]\n",
      "AE2_SVDD_rbf- [[-33.23870787]\n",
      " [-25.65373158]\n",
      " [ -3.69823499]\n",
      " [ -8.66487479]\n",
      " [-25.98560702]\n",
      " [ 13.28589941]\n",
      " [ 11.58116165]\n",
      " [ 13.22587653]\n",
      " [  6.71090078]\n",
      " [  7.13196803]\n",
      " [  0.23088188]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/mnist/CAE_OCSVM_Linear.csv\n",
      "Finished cae_ocsvm-linear\n",
      "[INFO] preparing the network to extract flattened inputs(X,X_test) for scoring..... done!!!\n",
      "[[ -4.25432034e-04]\n",
      " [  1.61711576e-04]\n",
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      " [  3.48698156e-01]]\n",
      "[[-0.61944073]\n",
      " [-0.7266627 ]\n",
      " [-0.3937775 ]\n",
      " [-0.43931034]\n",
      " [-0.67927563]\n",
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      " [ 0.1238539 ]]\n",
      "AE2_SVDD_rbf+ [[ -4.25432034e-04]\n",
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      " [  6.94200067e-02]\n",
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      " [  9.44317206e-02]\n",
      " [  1.29957593e-04]\n",
      " [  5.37655832e-04]\n",
      " [  3.48698156e-01]]\n",
      "AE2_SVDD_rbf- [[-0.61944073]\n",
      " [-0.7266627 ]\n",
      " [-0.3937775 ]\n",
      " [-0.43931034]\n",
      " [-0.67927563]\n",
      " [-0.26348047]\n",
      " [-0.104051  ]\n",
      " [-0.50459347]\n",
      " [-0.09568085]\n",
      " [-0.03328023]\n",
      " [ 0.1238539 ]]\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/Decision_Scores/mnist/CAE_OCSVM_RBF.csv\n",
      "Finished cae_ocsvm-rbf\n",
      "Writing file to  /Users/raghav/Documents/Uni/oc-nn/trainTest_Time/mnist_trainTest.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "df_mnist_scores[tf_OneClass_NN-Linear-Train [[  8.76632100e-09]\n",
      " [  1.62221667e-08]\n",
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      " [  1.49243302e-08]\n",
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      " [  1.12841008e-08]\n",
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      " [  3.23435367e-09]\n",
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      " [  9.54846158e-09]\n",
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      " [  4.43992709e-09]\n",
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      " [  1.05682529e-09]\n",
      " [  2.74661716e-09]\n",
      " [  1.23871011e-08]\n",
      " [  5.28008171e-09]\n",
      " [  3.61049901e-09]\n",
      " [  9.98014293e-09]\n",
      " [  6.01232619e-09]\n",
      " [  5.16192644e-09]\n",
      " [  7.48772244e-09]\n",
      " [  3.10247872e-09]\n",
      " [  5.81361626e-11]\n",
      " [  9.80766757e-09]\n",
      " [  8.63424354e-09]\n",
      " [  6.42276055e-09]\n",
      " [  5.46922285e-09]\n",
      " [  9.92690907e-09]\n",
      " [  4.46800863e-09]\n",
      " [  8.77361295e-09]\n",
      " [  1.15338974e-08]\n",
      " [  1.00395710e-08]\n",
      " [  7.75529863e-09]\n",
      " [  8.93669494e-09]\n",
      " [  1.17698509e-08]\n",
      " [  1.30623157e-08]\n",
      " [  2.37891884e-09]\n",
      " [  4.73837813e-09]\n",
      " [  3.23996874e-09]\n",
      " [ -5.65760550e-10]\n",
      " [  3.39530315e-09]\n",
      " [  9.81088455e-09]\n",
      " [  4.96131980e-09]\n",
      " [  1.67903096e-08]\n",
      " [  1.27853284e-08]\n",
      " [  8.02264211e-09]\n",
      " [  7.14436643e-09]\n",
      " [  2.32565212e-09]\n",
      " [  4.36625802e-09]\n",
      " [  8.93758667e-09]\n",
      " [  1.18745120e-08]\n",
      " [  1.65415646e-08]\n",
      " [  7.08375714e-09]\n",
      " [  1.21913093e-08]\n",
      " [  5.14558129e-09]\n",
      " [  1.71470500e-08]\n",
      " [  1.15618430e-08]\n",
      " [  3.28161898e-09]\n",
      " [ -5.59938806e-09]\n",
      " [  6.31541175e-09]\n",
      " [  1.45673980e-08]]\n",
      "df_mnist_scores[tf_OneClass_NN-Linear-Train [[ -1.86416180e-08]\n",
      " [ -1.83617850e-08]\n",
      " [  3.58873598e-09]\n",
      " [ -7.42516937e-10]\n",
      " [ -2.04001402e-08]\n",
      " [  7.42908091e-09]\n",
      " [  3.76945541e-09]\n",
      " [  1.13375567e-08]\n",
      " [  8.24153368e-09]\n",
      " [  1.11777130e-08]\n",
      " [  1.09166542e-08]]\n",
      "Average precision-recall score: 0.9686\n",
      "Average precision-recall score: 1.0000\n",
      "Average precision-recall score: 0.9879\n",
      "Average precision-recall score: 0.9688\n",
      "Average precision-recall score: 0.9783\n",
      "Average precision-recall score: 0.9741\n",
      "Average precision-recall score: 0.9742\n",
      "Average precision-recall score: 0.9755\n",
      "Average precision-recall score: 0.9960\n",
      "Average precision-recall score: 0.9637\n",
      "Average precision-recall score: 0.9877\n",
      "ROC  score: 0.5740\n",
      "ROC  score: 1.0000\n",
      "ROC  score: 0.8727\n",
      "ROC  score: 0.6773\n",
      "ROC  score: 0.7037\n",
      "ROC  score: 0.6669\n",
      "ROC  score: 0.6682\n",
      "ROC  score: 0.7062\n",
      "ROC  score: 0.9467\n",
      "ROC  score: 0.5244\n",
      "ROC  score: 0.8062\n"
     ]
    },
    {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a1fbf7310>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 966,
       "width": 882
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from load_datasets import prepare_mnist_mlfetch, prepare_mnist_data_for_ae2_svdd,prepare_mnist_data_for_cae_svdd\n",
    "from metrics import au_prc,compute_au_prc,compute_au_roc,compute_prec_at_10\n",
    "## Import all the datasets and prepare the Training and test set for respective datasets\n",
    "[data_train_mnist,data_test_mnist] = prepare_mnist_mlfetch()\n",
    "print (\"MNIST      : (Normal, Anomalies) dimensions: \",data_train_mnist.shape,data_test_mnist.shape)\n",
    "\n",
    "\n",
    "ae2_modelpath = cwd+\"/models/transfer_learning/cae_autoencoders/trained_models/mnist_AE2_2_id_32_e_1000_encoder.model\"\n",
    "cae_modelpath = cwd+\"/models/transfer_learning/cae_autoencoders/trained_models/mnist_conv_ae_3_id_32_e_1000_encoder.model\"\n",
    "\n",
    "\n",
    "## Encoded Data Information:\n",
    "[data_train_mnist_ae2,  data_test_mnist_ae2] =  prepare_mnist_data_for_ae2_svdd(data_train_mnist,data_test_mnist,ae2_modelpath) \n",
    "[data_train_mnist_cae,  data_test_mnist_cae] =  prepare_mnist_data_for_cae_svdd(data_train_mnist,data_test_mnist,cae_modelpath) \n",
    "\n",
    "\n",
    "# ##  Models implemented \n",
    "from mnist_models import func_getDecision_Scores_mnist\n",
    "\n",
    "# ### PLotting functions for the methods implemented\n",
    "from plot_mnist_scores import plot_decision_scores_MNIST\n",
    "\n",
    "## Loop over the datasets , method , activations and collect the results in respective dataframes\n",
    "dataset = \"MNIST\"\n",
    "\n",
    "# Call the function to compute the decision scores\n",
    "df_mnist_scores = func_getDecision_Scores_mnist(dataset,data_train_mnist,data_test_mnist,data_train_mnist_ae2,data_test_mnist_ae2,data_train_mnist_cae,data_test_mnist_cae)\n",
    "            \n",
    "# # Plotting decision\n",
    "plot_decision_scores_MNIST(dataset,df_mnist_scores)\n",
    "\n",
    "## Obtain the Metrics AUPRC, AUROC, P@10\n",
    "y_true_pos = np.ones(data_train_mnist.shape[0])\n",
    "y_true_neg = np.zeros(data_test_mnist.shape[0])\n",
    "y_true = np.concatenate((y_true_pos,y_true_neg))\n",
    "\n",
    "au_prc_scores = compute_au_prc(y_true,df_mnist_scores)\n",
    "au_roc_scores = compute_au_roc(y_true,df_mnist_scores)\n",
    "P_10_score =compute_prec_at_10(y_true,df_mnist_scores)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "========================================\n",
      "MNIST : Metrics\n",
      "========================================\n",
      "========================================\n",
      "                     AUPRC  AUROC  P@10\n",
      "Methods                                \n",
      "OC-NN-Linear      0.843164  0.296   1.0\n",
      "OC-NN-Sigmoid     0.875981  0.276   1.0\n",
      "OC-NN-Relu        0.847821  0.292   1.0\n",
      "CAE-OCSVM-Linear  1.000000  0.572   1.0\n",
      "CAE-OCSVM-RBF     1.000000  1.000   1.0\n",
      "AE2-SVDD-Linear   0.901512  1.000   1.0\n",
      "AE2-SVDD-RBF      0.901512  0.432   1.0\n",
      "OCSVM-Linear      0.935244  0.432   1.0\n",
      "OCSVM-RBF         0.917589  0.516   1.0\n",
      "RPCA_OCSVM        0.927273  0.600   1.0\n",
      "Isolation_Forest  0.917440  0.550   0.9\n"
     ]
    }
   ],
   "source": [
    "### Metrics for MNIST Dataset\n",
    "print '='*40\n",
    "print \"MNIST : Metrics\"\n",
    "print '='*40\n",
    "print '='*40\n",
    "methods = ['OC-NN-Linear', 'OC-NN-Sigmoid','OC-NN-Relu','CAE-OCSVM-Linear','CAE-OCSVM-RBF','AE2-SVDD-Linear','AE2-SVDD-RBF','OCSVM-Linear','OCSVM-RBF','RPCA_OCSVM','Isolation_Forest' ]\n",
    "import pandas as pd\n",
    "df = pd.DataFrame(\n",
    "    {'AUPRC': au_prc_scores,\n",
    "     'AUROC': au_roc_scores,\n",
    "     'P@10': P_10_score,\n",
    "     'Methods':methods\n",
    "    })\n",
    "df = df.set_index('Methods')\n",
    "print df.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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