Section 4_3_2 German Credit Dataset.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Real Dataset Experiment (German Credit Dataset-- Group Fairness)\n",
    "Generate the dataset for LTR setting\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import colors, ticker, cm\n",
    "\n",
    "from pprint import pprint\n",
    "from progressbar import progressbar\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import set_matplotlib_formats\n",
    "set_matplotlib_formats('pdf', 'png')\n",
    "plt.rcParams['savefig.dpi'] = 75\n",
    "\n",
    "plt.rcParams['figure.autolayout'] = False\n",
    "plt.rcParams['figure.figsize'] = 10, 6\n",
    "plt.rcParams['axes.labelsize'] = 14\n",
    "plt.rcParams['axes.titlesize'] = 16\n",
    "plt.rcParams['font.size'] = 16\n",
    "plt.rcParams['lines.linewidth'] = 2.0\n",
    "plt.rcParams['lines.markersize'] = 8\n",
    "plt.rcParams['legend.fontsize'] = 14\n",
    "\n",
    "plt.rcParams['text.usetex'] = True\n",
    "plt.rcParams['font.family'] = \"serif\"\n",
    "plt.rcParams['font.serif'] = \"cm\"\n",
    "plt.rcParams['text.latex.preamble'] = r\"\\usepackage{subdepth}, \\usepackage{type1cm}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/ashudeep/projects/fairness/fair_svmrank\n"
     ]
    }
   ],
   "source": [
    "cd .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from train_yahoo_dataset import on_policy_training\n",
    "from YahooDataReader import YahooDataReader\n",
    "import torch\n",
    "from models import NNModel, LinearModel\n",
    "from evaluation import evaluate_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read data \n",
    "import pickle as pkl\n",
    "dr = YahooDataReader(None)\n",
    "dr.data = pkl.load(open(\"GermanCredit/german_train_rank.pkl\", \"rb\"))\n",
    "vdr = YahooDataReader(None)\n",
    "vdr.data = pkl.load(open(\"GermanCredit/german_test_rank.pkl\",\"rb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Namespace:\n",
    "    def __init__(self, **kwargs):\n",
    "        self.__dict__.update(kwargs)\n",
    "args = Namespace(conditional_model=True, gpu_id=None, progressbar=True, evaluate_interval=250, input_dim=29, \n",
    "                 eval_rank_limit=1000,\n",
    "                fairness_version=\"asym_disparity\", entropy_regularizer=0.0, save_checkpoints=False, num_cores=1,\n",
    "                pooling='concat_avg', dropout=0.0, hidden_layer=8, summary_writing=False, \n",
    "                 group_fairness_version=\"asym_disparity\",early_stopping=False, lr_scheduler=False, \n",
    "                 validation_deterministic=False, evalk=1000, reward_type=\"ndcg\", baseline_type=\"value\", \n",
    "                 use_baseline=True, entreg_decay=0.0, skip_zero_relevance=True, eval_temperature=1.0, optimizer=\"Adam\",\n",
    "                clamp=False)\n",
    "torch.set_num_threads(args.num_cores)\n",
    "args.progressbar = False \n",
    "\n",
    "args.group_feat_id = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting training with the following config\n",
      "Learning rate 0.001, Weight decay 0.0, Sample size 25\n",
      "Lambda_reward: 1.0, lambda_ind_fairness:0.0, lambda_group_fairness:0.0\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.6929591151625566, DCG 1.772368249173742, Average Rank 4.5284615384615385, ERR 0.06660219570566596\n",
      "\n",
      "Averages of last 1000 rewards: 0.6942634649402132, ndcgs: 0.6942634649402132, dcgs: 1.6786001988714567\n",
      "Evaluating on validation set: iteration 250/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.7284291854003349, DCG 1.8576361579018867, Average Rank 4.128717948717949, ERR 0.07277881643377829\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.7480188066016105, DCG 1.8999250721722465, Average Rank 3.9274358974358976, ERR 0.07584950894514507\n",
      "\n",
      "Averages of last 1000 rewards: 0.7517347415966803, ndcgs: 0.7517347415966803, dcgs: 1.8544483649655303\n",
      "Evaluating on validation set: iteration 250/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.7630606859125255, DCG 1.9369325568547284, Average Rank 3.762564102564103, ERR 0.0785255459043249\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 2\n",
      "Epoch 2, Average Validation: NDCG: 0.7696174117046093, DCG 1.9629722442023576, Average Rank 3.6769230769230767, ERR 0.08047323650795021\n",
      "\n",
      "Averages of last 1000 rewards: 0.7781508824777891, ndcgs: 0.7781508824777891, dcgs: 1.92196988946376\n",
      "Evaluating on validation set: iteration 250/500 of epoch 2\n",
      "Epoch 2, Average Validation: NDCG: 0.7851242114457488, DCG 1.9907116151296702, Average Rank 3.586923076923077, ERR 0.08256423902201877\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 3\n",
      "Epoch 3, Average Validation: NDCG: 0.785668441491038, DCG 1.9958868829620229, Average Rank 3.5382051282051283, ERR 0.0828587513469703\n",
      "\n",
      "Averages of last 1000 rewards: 0.7969625660270034, ndcgs: 0.7969625660270034, dcgs: 1.8932044970127824\n",
      "Evaluating on validation set: iteration 250/500 of epoch 3\n",
      "Epoch 3, Average Validation: NDCG: 0.7913524438562163, DCG 2.0033838178601866, Average Rank 3.5043589743589743, ERR 0.08338595128326552\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 4\n",
      "Epoch 4, Average Validation: NDCG: 0.7984040927244278, DCG 2.023807825202238, Average Rank 3.456923076923077, ERR 0.08497655965525856\n",
      "\n",
      "Averages of last 1000 rewards: 0.8062874465850329, ndcgs: 0.8062874465850329, dcgs: 1.981544933829196\n",
      "Evaluating on validation set: iteration 250/500 of epoch 4\n",
      "Epoch 4, Average Validation: NDCG: 0.8019836121964198, DCG 2.0310650034849673, Average Rank 3.4064102564102563, ERR 0.08548004425163049\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 5\n",
      "Epoch 5, Average Validation: NDCG: 0.8091684377045949, DCG 2.0533147975565322, Average Rank 3.3794871794871795, ERR 0.08725387374681526\n",
      "\n",
      "Averages of last 1000 rewards: 0.8124946622128127, ndcgs: 0.8124946622128127, dcgs: 1.9650507965943997\n",
      "Evaluating on validation set: iteration 250/500 of epoch 5\n",
      "Epoch 5, Average Validation: NDCG: 0.8041509521768835, DCG 2.0393948267727766, Average Rank 3.3882051282051284, ERR 0.08609168719705858\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 6\n",
      "Epoch 6, Average Validation: NDCG: 0.810184131904702, DCG 2.0497772932105387, Average Rank 3.3633333333333333, ERR 0.08691233655526968\n",
      "\n",
      "Averages of last 1000 rewards: 0.8219073146656273, ndcgs: 0.8219073146656273, dcgs: 2.0093352212431244\n",
      "Evaluating on validation set: iteration 250/500 of epoch 6\n",
      "Epoch 6, Average Validation: NDCG: 0.8154755901472097, DCG 2.063728201473827, Average Rank 3.3425641025641024, ERR 0.08802503396995766\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 7\n",
      "Epoch 7, Average Validation: NDCG: 0.813602668682592, DCG 2.059135724907811, Average Rank 3.3405128205128207, ERR 0.08764888486161398\n",
      "\n",
      "Averages of last 1000 rewards: 0.8292569580577397, ndcgs: 0.8292569580577397, dcgs: 2.0026923823755984\n",
      "Evaluating on validation set: iteration 250/500 of epoch 7\n",
      "Epoch 7, Average Validation: NDCG: 0.8173026135073289, DCG 2.0678782679667576, Average Rank 3.273076923076923, ERR 0.08816910087068652\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.8200306746475543, DCG 2.070383412878373, Average Rank 3.3176923076923077, ERR 0.0885090453132028\n",
      "\n",
      "Averages of last 1000 rewards: 0.8373321275135881, ndcgs: 0.8373321275135881, dcgs: 2.0054615759650813\n",
      "Evaluating on validation set: iteration 250/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.8146719642173222, DCG 2.0644743556164578, Average Rank 3.325641025641026, ERR 0.08803541351525485\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 9\n",
      "Epoch 9, Average Validation: NDCG: 0.8113474418082598, DCG 2.0564284764730987, Average Rank 3.35, ERR 0.08740088807250207\n",
      "\n",
      "Averages of last 1000 rewards: 0.8430171544397989, ndcgs: 0.8430171544397989, dcgs: 2.063366546450987\n",
      "Evaluating on validation set: iteration 250/500 of epoch 9\n",
      "Epoch 9, Average Validation: NDCG: 0.8172096708900063, DCG 2.069599071460406, Average Rank 3.328717948717949, ERR 0.08848069283902305\n",
      "Epoch 9, Average Validation: NDCG: 0.8141348899859464, DCG 2.0650424123421387, Average Rank 3.321025641025641, ERR 0.08805891404097699\n",
      "{'ndcg': 0.8296420528720934, 'dcg': 2.095218812465268, 'avg_rank': 3.223076923076923, 'err': 0.09038153261572698, 'avg_group_disparity': 0.7721398099196222, 'avg_group_asym_disparity': 0.01843215204560694}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ashudeep/anaconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py:3118: RuntimeWarning: Mean of empty slice.\n",
      "  out=out, **kwargs)\n",
      "/home/ashudeep/anaconda3/lib/python3.6/site-packages/numpy/core/_methods.py:85: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'ndcg': 0.8161805494218788, 'dcg': 2.0666262376897966, 'avg_rank': 3.3187179487179486, 'err': 0.08820274619739113, 'avg_group_disparity': 0.7441964876313882, 'avg_group_asym_disparity': 0.010386332712573094}\n",
      "Learnt model for lambda=0.0 has model weights as [0.4994526505470276, -0.35845690965652466, -0.7672717571258545, -0.24814113974571228, 0.24802951514720917, 0.25161105394363403, -0.11899266391992569, 0.3350377380847931, -0.4522344470024109, -0.4852483570575714, 0.5947794914245605, -0.2769748270511627, 0.5104715824127197, -0.7136616706848145, -0.011587349697947502, 0.5324349999427795, 0.13862870633602142, 2.1267006397247314, -1.3383240699768066, -1.1675684452056885, 0.05443740636110306, -0.20080417394638062, -0.1575782597064972, 0.11698146909475327, -0.2505824863910675, -0.27120792865753174, 0.6295810341835022, -0.12917467951774597, 0.23001712560653687]\n",
      "Starting training with the following config\n",
      "Learning rate 0.001, Weight decay 0.0, Sample size 25\n",
      "Lambda_reward: 1.0, lambda_ind_fairness:0.0, lambda_group_fairness:0.1\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.6945475236507552, DCG 1.77663313071127, Average Rank 4.498205128205128, ERR 0.0669027456109179\n",
      "Average Validation Group Exposure disparity: 0.7894594141571366, Group Asymmetric disparity: 0.003960120666775776\n",
      "\n",
      "Averages of last 1000 rewards: 0.701997942704094, ndcgs: 0.701997942704094, dcgs: 1.7163400823985884\n",
      "Evaluating on validation set: iteration 250/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.7321775475058152, DCG 1.8631813124537575, Average Rank 4.122564102564103, ERR 0.07327309567737651\n",
      "Average Validation Group Exposure disparity: 0.7665914032237358, Group Asymmetric disparity: 0.0015250596750692469\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.7458360554963828, DCG 1.8974635403253939, Average Rank 3.9505128205128206, ERR 0.07572089301415846\n",
      "Average Validation Group Exposure disparity: 0.7405822162837769, Group Asymmetric disparity: 0.003097835141472086\n",
      "\n",
      "Averages of last 1000 rewards: 0.7489580662466737, ndcgs: 0.7489580662466737, dcgs: 1.8190301171018581\n",
      "Evaluating on validation set: iteration 250/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.7623987327034922, DCG 1.9366433337834241, Average Rank 3.7838461538461536, ERR 0.07856911522481103\n",
      "Average Validation Group Exposure disparity: 0.735573753346129, Group Asymmetric disparity: 0.00421007792291031\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 2\n",
      "Epoch 2, Average Validation: NDCG: 0.7713732123992191, DCG 1.9563855532789671, Average Rank 3.681025641025641, ERR 0.07991726563849325\n",
      "Average Validation Group Exposure disparity: 0.760565291473492, Group Asymmetric disparity: 0.003378615033766882\n",
      "\n",
      "Averages of last 1000 rewards: 0.7825232562386724, ndcgs: 0.7825232562386724, dcgs: 1.910521886467881\n",
      "Evaluating on validation set: iteration 250/500 of epoch 2\n",
      "Epoch 2, Average Validation: NDCG: 0.778984559008925, DCG 1.9807649774944407, Average Rank 3.5876923076923077, ERR 0.08174750775082615\n",
      "Average Validation Group Exposure disparity: 0.7432197755849164, Group Asymmetric disparity: 0.005016178631356505\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 3\n",
      "Epoch 3, Average Validation: NDCG: 0.7918648975066379, DCG 2.005779504433739, Average Rank 3.512564102564103, ERR 0.08364693040658816\n",
      "Average Validation Group Exposure disparity: 0.6745109272057406, Group Asymmetric disparity: 0.0055811403100406165\n",
      "\n",
      "Averages of last 1000 rewards: 0.794127802006235, ndcgs: 0.794127802006235, dcgs: 1.8904660256514465\n",
      "Evaluating on validation set: iteration 250/500 of epoch 3\n",
      "Epoch 3, Average Validation: NDCG: 0.7905106650261068, DCG 2.0061385329718524, Average Rank 3.4582051282051283, ERR 0.08347803121696869\n",
      "Average Validation Group Exposure disparity: 0.6975855455987903, Group Asymmetric disparity: 0.005680805401821269\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 4\n",
      "Epoch 4, Average Validation: NDCG: 0.7995333766177172, DCG 2.0285422373997877, Average Rank 3.4751282051282053, ERR 0.08542470783239678\n",
      "Average Validation Group Exposure disparity: 0.7389146439891234, Group Asymmetric disparity: 0.007113518776815693\n",
      "\n",
      "Averages of last 1000 rewards: 0.8175195924514341, ndcgs: 0.8175195924514341, dcgs: 1.9996210812150053\n",
      "Evaluating on validation set: iteration 250/500 of epoch 4\n",
      "Epoch 4, Average Validation: NDCG: 0.804469285299756, DCG 2.0385835660003773, Average Rank 3.404102564102564, ERR 0.08608791177285326\n",
      "Average Validation Group Exposure disparity: 0.7394187143192977, Group Asymmetric disparity: 0.00726549425340768\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 5\n",
      "Epoch 5, Average Validation: NDCG: 0.8049770914516203, DCG 2.036877106190847, Average Rank 3.404358974358974, ERR 0.08592783319408938\n",
      "Average Validation Group Exposure disparity: 0.6942169535631227, Group Asymmetric disparity: 0.009522936101338376\n",
      "\n",
      "Averages of last 1000 rewards: 0.8193231363677169, ndcgs: 0.8193231363677169, dcgs: 2.023615627162526\n",
      "Evaluating on validation set: iteration 250/500 of epoch 5\n",
      "Epoch 5, Average Validation: NDCG: 0.8031268709844555, DCG 2.0343790804500745, Average Rank 3.4164102564102565, ERR 0.08574468190265146\n",
      "Average Validation Group Exposure disparity: 0.7401192793443775, Group Asymmetric disparity: 0.008008200538528784\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 6\n",
      "Epoch 6, Average Validation: NDCG: 0.8094869447857131, DCG 2.0532055354253957, Average Rank 3.353846153846154, ERR 0.08715539441735498\n",
      "Average Validation Group Exposure disparity: 0.7245117822650481, Group Asymmetric disparity: 0.008652454902329779\n",
      "\n",
      "Averages of last 1000 rewards: 0.8163473735108384, ndcgs: 0.8163473735108384, dcgs: 1.9798737984934505\n",
      "Evaluating on validation set: iteration 250/500 of epoch 6\n",
      "Epoch 6, Average Validation: NDCG: 0.8074067658772414, DCG 2.0471905792100613, Average Rank 3.376153846153846, ERR 0.08670252598454585\n",
      "Average Validation Group Exposure disparity: 0.7432897995638491, Group Asymmetric disparity: 0.009420810169643697\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 7\n",
      "Epoch 7, Average Validation: NDCG: 0.8151993214304302, DCG 2.0638150066603598, Average Rank 3.3415384615384616, ERR 0.08802617664889631\n",
      "Average Validation Group Exposure disparity: 0.7648381376474062, Group Asymmetric disparity: 0.008943021778609134\n",
      "\n",
      "Averages of last 1000 rewards: 0.8253666436674002, ndcgs: 0.8253666436674002, dcgs: 2.0041425816507634\n",
      "Evaluating on validation set: iteration 250/500 of epoch 7\n",
      "Epoch 7, Average Validation: NDCG: 0.8129839304009617, DCG 2.057240733707107, Average Rank 3.345897435897436, ERR 0.08746802825418808\n",
      "Average Validation Group Exposure disparity: 0.7412893565611267, Group Asymmetric disparity: 0.0111333881321784\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.810998775789161, DCG 2.0523704836878056, Average Rank 3.3515384615384614, ERR 0.08709919925771642\n",
      "Average Validation Group Exposure disparity: 0.7445721963682892, Group Asymmetric disparity: 0.009066428085918576\n",
      "\n",
      "Averages of last 1000 rewards: 0.836900522631453, ndcgs: 0.836900522631453, dcgs: 2.0134064321353065\n",
      "Evaluating on validation set: iteration 250/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.8175368870305141, DCG 2.0668382141077104, Average Rank 3.3466666666666667, ERR 0.08831635735802912\n",
      "Average Validation Group Exposure disparity: 0.7411504030697611, Group Asymmetric disparity: 0.010895619660828623\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 9\n",
      "Epoch 9, Average Validation: NDCG: 0.8127528048208054, DCG 2.0577774027379996, Average Rank 3.342051282051282, ERR 0.08749032288367382\n",
      "Average Validation Group Exposure disparity: 0.7540358749560555, Group Asymmetric disparity: 0.009762901299639795\n",
      "\n",
      "Averages of last 1000 rewards: 0.851812314121042, ndcgs: 0.851812314121042, dcgs: 2.068857526162843\n",
      "Evaluating on validation set: iteration 250/500 of epoch 9\n",
      "Epoch 9, Average Validation: NDCG: 0.8183351706497416, DCG 2.0677497992387366, Average Rank 3.313846153846154, ERR 0.08827185770167559\n",
      "Average Validation Group Exposure disparity: 0.7461546483937931, Group Asymmetric disparity: 0.009180732116742377\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 9, Average Validation: NDCG: 0.816018716788794, DCG 2.063544403694653, Average Rank 3.3494871794871797, ERR 0.0880349245021239\n",
      "Average Validation Group Exposure disparity: 0.7316416070619457, Group Asymmetric disparity: 0.01134450868421209\n",
      "{'ndcg': 0.8161241226095722, 'dcg': 2.065859294501401, 'avg_rank': 3.3156410256410256, 'err': 0.08811139924295176, 'avg_group_disparity': 0.7532265665839175, 'avg_group_asym_disparity': 0.009043825825171938}\n",
      "Learnt model for lambda=0.1 has model weights as [0.4964540898799896, -0.321217805147171, -0.7843735218048096, -0.2407098412513733, 0.24065813422203064, 0.18388569355010986, -0.13829436898231506, 0.38013550639152527, -0.46057382225990295, -0.39832064509391785, 0.5506117343902588, -0.33406198024749756, 0.4314917027950287, -0.6462470889091492, 0.03451867401599884, 0.4650520384311676, 0.1925814002752304, 2.113152265548706, -1.336716890335083, -1.0950946807861328, 0.06395682692527771, -0.2432858943939209, -0.15382207930088043, 0.09535770118236542, -0.2694922685623169, -0.17223358154296875, 0.602555513381958, -0.10730203986167908, 0.12287464737892151]\n",
      "Starting training with the following config\n",
      "Learning rate 0.001, Weight decay 0.0, Sample size 25\n",
      "Lambda_reward: 1.0, lambda_ind_fairness:0.0, lambda_group_fairness:1.0\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.693552399953597, DCG 1.7763706724193975, Average Rank 4.521282051282051, ERR 0.06693623358414395\n",
      "Average Validation Group Exposure disparity: 0.7647739647377673, Group Asymmetric disparity: 5.7336802788763296e-05\n",
      "\n",
      "Averages of last 1000 rewards: 0.6958430486955411, ndcgs: 0.6958430486955411, dcgs: 1.7032784821156333\n",
      "Evaluating on validation set: iteration 250/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.7114479271129263, DCG 1.8160287028847393, Average Rank 4.322820512820512, ERR 0.06979832871069121\n",
      "Average Validation Group Exposure disparity: 0.7717504642226898, Group Asymmetric disparity: 0.001221561952997212\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.7288033757333069, DCG 1.8553748413014666, Average Rank 4.159230769230769, ERR 0.07271064458280731\n",
      "Average Validation Group Exposure disparity: 0.7563890807589081, Group Asymmetric disparity: 0.0018358175648468967\n",
      "\n",
      "Averages of last 1000 rewards: 0.723566070623637, ndcgs: 0.723566070623637, dcgs: 1.7850608939453123\n",
      "Evaluating on validation set: iteration 250/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.7453599451187223, DCG 1.8943428926557757, Average Rank 3.965128205128205, ERR 0.07551851828218296\n",
      "Average Validation Group Exposure disparity: 0.7275654836733867, Group Asymmetric disparity: 0.002253992539243366\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 2\n",
      "Epoch 2, Average Validation: NDCG: 0.749850853620201, DCG 1.9107081533516357, Average Rank 3.875128205128205, ERR 0.07663442857671049\n",
      "Average Validation Group Exposure disparity: 0.6948600709583138, Group Asymmetric disparity: 0.0020957989573866897\n",
      "\n",
      "Averages of last 1000 rewards: 0.7493320297837865, ndcgs: 0.7493320297837865, dcgs: 1.8259086929060706\n",
      "Evaluating on validation set: iteration 250/500 of epoch 2\n",
      "Epoch 2, Average Validation: NDCG: 0.7574431828898354, DCG 1.9263636978925185, Average Rank 3.7746153846153847, ERR 0.07766857884283353\n",
      "Average Validation Group Exposure disparity: 0.6887879261062614, Group Asymmetric disparity: 0.005378434371812104\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 3\n",
      "Epoch 3, Average Validation: NDCG: 0.765772064628225, DCG 1.953502487208611, Average Rank 3.684102564102564, ERR 0.0797177095838778\n",
      "Average Validation Group Exposure disparity: 0.6974566402793814, Group Asymmetric disparity: 0.0038111006550786432\n",
      "\n",
      "Averages of last 1000 rewards: 0.7675716717787294, ndcgs: 0.7675716717787294, dcgs: 1.863374457571666\n",
      "Evaluating on validation set: iteration 250/500 of epoch 3\n",
      "Epoch 3, Average Validation: NDCG: 0.7757837361628269, DCG 1.9724864368442028, Average Rank 3.632051282051282, ERR 0.08118501431803858\n",
      "Average Validation Group Exposure disparity: 0.7309591449736417, Group Asymmetric disparity: 0.002990904320948865\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 4\n",
      "Epoch 4, Average Validation: NDCG: 0.7753051750984045, DCG 1.9724576593231515, Average Rank 3.5982051282051284, ERR 0.08104297008390014\n",
      "Average Validation Group Exposure disparity: 0.6681624669889963, Group Asymmetric disparity: 0.004834911455339375\n",
      "\n",
      "Averages of last 1000 rewards: 0.7819159267122052, ndcgs: 0.7819159267122052, dcgs: 1.9260243262799468\n",
      "Evaluating on validation set: iteration 250/500 of epoch 4\n",
      "Epoch 4, Average Validation: NDCG: 0.7796321351159022, DCG 1.9834893605990183, Average Rank 3.5625641025641026, ERR 0.08187365229902487\n",
      "Average Validation Group Exposure disparity: 0.7008870873414756, Group Asymmetric disparity: 0.005495256611231294\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 5\n",
      "Epoch 5, Average Validation: NDCG: 0.7885141379323474, DCG 2.0014767798525197, Average Rank 3.5394871794871796, ERR 0.08334612416699586\n",
      "Average Validation Group Exposure disparity: 0.7037360833766588, Group Asymmetric disparity: 0.006786811827545154\n",
      "\n",
      "Averages of last 1000 rewards: 0.794476119949006, ndcgs: 0.794476119949006, dcgs: 1.9508072723421765\n",
      "Evaluating on validation set: iteration 250/500 of epoch 5\n",
      "Epoch 5, Average Validation: NDCG: 0.7898504555822714, DCG 2.0014101791132966, Average Rank 3.546666666666667, ERR 0.0833393048642666\n",
      "Average Validation Group Exposure disparity: 0.6784790566035802, Group Asymmetric disparity: 0.006569365496341704\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 6\n",
      "Epoch 6, Average Validation: NDCG: 0.7919596709761002, DCG 2.015400416387298, Average Rank 3.4817948717948717, ERR 0.08433145738012278\n",
      "Average Validation Group Exposure disparity: 0.7315235423895718, Group Asymmetric disparity: 0.006799873341286162\n",
      "\n",
      "Averages of last 1000 rewards: 0.7952070737392337, ndcgs: 0.7952070737392337, dcgs: 1.946586946731385\n",
      "Evaluating on validation set: iteration 250/500 of epoch 6\n",
      "Epoch 6, Average Validation: NDCG: 0.7987577946018192, DCG 2.02222051871488, Average Rank 3.4602564102564104, ERR 0.084877794699492\n",
      "Average Validation Group Exposure disparity: 0.7194160644961434, Group Asymmetric disparity: 0.004503006774747323\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 7\n",
      "Epoch 7, Average Validation: NDCG: 0.7971868007525242, DCG 2.0212034828333576, Average Rank 3.442820512820513, ERR 0.08470999994797278\n",
      "Average Validation Group Exposure disparity: 0.6960415482899696, Group Asymmetric disparity: 0.004901843342645952\n",
      "\n",
      "Averages of last 1000 rewards: 0.8115305412663456, ndcgs: 0.8115305412663456, dcgs: 1.9730978066650755\n",
      "Evaluating on validation set: iteration 250/500 of epoch 7\n",
      "Epoch 7, Average Validation: NDCG: 0.8046823366898578, DCG 2.0386013012869166, Average Rank 3.3956410256410257, ERR 0.08605142803041188\n",
      "Average Validation Group Exposure disparity: 0.7004960771122413, Group Asymmetric disparity: 0.005610810406730424\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.7969302506018866, DCG 2.023236224119577, Average Rank 3.459230769230769, ERR 0.08496000847721312\n",
      "Average Validation Group Exposure disparity: 0.7076981858899134, Group Asymmetric disparity: 0.007251291311540325\n",
      "\n",
      "Averages of last 1000 rewards: 0.7993442670289612, ndcgs: 0.7993442670289612, dcgs: 1.9543744680639334\n",
      "Evaluating on validation set: iteration 250/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.8012102753765433, DCG 2.030091447547917, Average Rank 3.4261538461538463, ERR 0.08543074400583697\n",
      "Average Validation Group Exposure disparity: 0.7153487885075984, Group Asymmetric disparity: 0.009944494232303184\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 9\n",
      "Epoch 9, Average Validation: NDCG: 0.7986119266943192, DCG 2.0273406180089264, Average Rank 3.4492307692307693, ERR 0.08523590215097823\n",
      "Average Validation Group Exposure disparity: 0.6784992246032858, Group Asymmetric disparity: 0.006293790115209705\n",
      "\n",
      "Averages of last 1000 rewards: 0.8075046870295937, ndcgs: 0.8075046870295937, dcgs: 1.9362414666523002\n",
      "Evaluating on validation set: iteration 250/500 of epoch 9\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 9, Average Validation: NDCG: 0.8032621176997148, DCG 2.0385855079063058, Average Rank 3.3943589743589744, ERR 0.08605399741758286\n",
      "Average Validation Group Exposure disparity: 0.726909893604649, Group Asymmetric disparity: 0.005576657080118452\n",
      "Epoch 9, Average Validation: NDCG: 0.8080905775819148, DCG 2.0506091327919855, Average Rank 3.39025641025641, ERR 0.0870522067025488\n",
      "Average Validation Group Exposure disparity: 0.7046983602431824, Group Asymmetric disparity: 0.006457128290859644\n",
      "{'ndcg': 0.8059253893410663, 'dcg': 2.0412272024612754, 'avg_rank': 3.3705128205128205, 'err': 0.08621288368127653, 'avg_group_disparity': 0.722499911913722, 'avg_group_asym_disparity': 0.006394772215440455}\n",
      "Learnt model for lambda=1.0 has model weights as [0.19937992095947266, -0.19388242065906525, -0.57575523853302, -0.09714779257774353, 0.09712572395801544, 0.09071791172027588, 0.04508957266807556, 0.10995162278413773, -0.264781653881073, -0.3573543429374695, 0.38562411069869995, -0.17676767706871033, 0.39824992418289185, -0.2983708381652832, -0.04386845603585243, 0.11509805172681808, -0.10301356762647629, 1.4050014019012451, -0.8938798308372498, -0.8197094798088074, 0.31827011704444885, -0.04225069284439087, -0.23447303473949432, 0.12514738738536835, -0.2999444305896759, -0.019987570121884346, 0.41791048645973206, -0.16485179960727692, 0.24895921349525452]\n",
      "Starting training with the following config\n",
      "Learning rate 0.001, Weight decay 0.0, Sample size 25\n",
      "Lambda_reward: 1.0, lambda_ind_fairness:0.0, lambda_group_fairness:10.0\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.7026842988683595, DCG 1.795831696746771, Average Rank 4.439230769230769, ERR 0.06834959355348218\n",
      "Average Validation Group Exposure disparity: 0.7436942536780655, Group Asymmetric disparity: 0.00043621021194338415\n",
      "\n",
      "Averages of last 1000 rewards: 0.6772829742305448, ndcgs: 0.6772829742305448, dcgs: 1.6509777867398665\n",
      "Evaluating on validation set: iteration 250/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.6996299565590595, DCG 1.7906273555384313, Average Rank 4.473846153846154, ERR 0.06802568007230607\n",
      "Average Validation Group Exposure disparity: 0.8051362385953955, Group Asymmetric disparity: 0.00014457569012762183\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.6943537904107073, DCG 1.7740448045464867, Average Rank 4.523333333333333, ERR 0.06674547618397525\n",
      "Average Validation Group Exposure disparity: 0.7463592520816539, Group Asymmetric disparity: 0.0016401686914110647\n",
      "\n",
      "Averages of last 1000 rewards: 0.6942084403956588, ndcgs: 0.6942084403956588, dcgs: 1.71422936294391\n",
      "Evaluating on validation set: iteration 250/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.7073011346806125, DCG 1.8089321652692811, Average Rank 4.356923076923077, ERR 0.06927791383044299\n",
      "Average Validation Group Exposure disparity: 0.7752094529674656, Group Asymmetric disparity: 0.0013098798314936722\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 2\n",
      "Epoch 2, Average Validation: NDCG: 0.6960621250877718, DCG 1.7836543770511648, Average Rank 4.440769230769231, ERR 0.06735057188214194\n",
      "Average Validation Group Exposure disparity: 0.7583544704240055, Group Asymmetric disparity: 0.0011381906706683686\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.6996163221830736, DCG 1.7917477162150046, Average Rank 4.4428205128205125, ERR 0.0680537765170769\n",
      "Average Validation Group Exposure disparity: 0.7754552410630599, Group Asymmetric disparity: 0.0006474338299558124\n",
      "\n",
      "Averages of last 1000 rewards: 0.6897997845650068, ndcgs: 0.6897997845650068, dcgs: 1.722641481893695\n",
      "Evaluating on validation set: iteration 250/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.7089127707803403, DCG 1.8102507219488189, Average Rank 4.392820512820513, ERR 0.06947166353196517\n",
      "Average Validation Group Exposure disparity: 0.7196973547893883, Group Asymmetric disparity: 0.0005337560611206848\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 9\n",
      "Epoch 9, Average Validation: NDCG: 0.7125341432711559, DCG 1.8172103084856672, Average Rank 4.329487179487179, ERR 0.06993107055743782\n",
      "Average Validation Group Exposure disparity: 0.7656005098750494, Group Asymmetric disparity: 0.001815902245576254\n",
      "\n",
      "Averages of last 1000 rewards: 0.6926474198426793, ndcgs: 0.6926474198426793, dcgs: 1.701717119043135\n",
      "Evaluating on validation set: iteration 250/500 of epoch 9\n",
      "Epoch 9, Average Validation: NDCG: 0.7095415811247244, DCG 1.8126494328758886, Average Rank 4.3476923076923075, ERR 0.0695548138112459\n",
      "Average Validation Group Exposure disparity: 0.736055327138166, Group Asymmetric disparity: 0.0007300838327122383\n",
      "Epoch 9, Average Validation: NDCG: 0.7117187626368796, DCG 1.817074869395596, Average Rank 4.310769230769231, ERR 0.06986639745672979\n",
      "Average Validation Group Exposure disparity: 0.7249288494077417, Group Asymmetric disparity: 0.0009985399657353366\n",
      "{'ndcg': 0.7143494379966758, 'dcg': 1.8195498162636223, 'avg_rank': 4.326153846153846, 'err': 0.07009073480806767, 'avg_group_disparity': 0.7564125559007948, 'avg_group_asym_disparity': 0.0004816211525129599}\n",
      "Learnt model for lambda=20.0 has model weights as [-0.04158379137516022, -0.03026745095849037, -0.09387407451868057, -0.01261951494961977, 0.012549391016364098, 0.06701057404279709, -0.004609433934092522, -0.043130163103342056, 0.028981821611523628, 0.025064896792173386, -0.05011613667011261, 0.02895388938486576, 0.055423934012651443, 0.023530948907136917, 0.07135647535324097, -0.16954027116298676, -0.06835298985242844, 0.08265981823205948, -0.08632753789424896, -0.059037987142801285, 0.10812707990407944, 0.12342194467782974, -0.038715921342372894, -0.04336564242839813, -0.13789117336273193, 0.0636923685669899, 0.0007543702377006412, -0.078823022544384, 0.09597992151975632]\n",
      "Starting training with the following config\n",
      "Learning rate 0.001, Weight decay 0.0, Sample size 25\n",
      "Lambda_reward: 1.0, lambda_ind_fairness:0.0, lambda_group_fairness:25.0\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.6918223344381772, DCG 1.7691687745337874, Average Rank 4.51974358974359, ERR 0.06629915613775318\n",
      "Average Validation Group Exposure disparity: 0.7932948191319124, Group Asymmetric disparity: 0.0009890779919594906\n",
      "\n",
      "Averages of last 1000 rewards: 0.6834606813038497, ndcgs: 0.6834606813038497, dcgs: 1.6903440390426965\n",
      "Evaluating on validation set: iteration 250/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.6957741217954166, DCG 1.7800539812192264, Average Rank 4.52051282051282, ERR 0.06724899757962963\n",
      "Average Validation Group Exposure disparity: 0.7981155912875414, Group Asymmetric disparity: 0.003441788270171139\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.6959503140840603, DCG 1.7743298630183042, Average Rank 4.53, ERR 0.06680036350230562\n",
      "Average Validation Group Exposure disparity: 0.7914662134264185, Group Asymmetric disparity: 0.002349518235847664\n",
      "\n",
      "Averages of last 1000 rewards: 0.6823813906407553, ndcgs: 0.6823813906407553, dcgs: 1.6731326651982052\n",
      "Evaluating on validation set: iteration 250/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.6906487821278856, DCG 1.7628912758632242, Average Rank 4.564102564102564, ERR 0.06590833789188053\n",
      "Average Validation Group Exposure disparity: 0.7402815347644686, Group Asymmetric disparity: 1.6216466188501145e-05\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 2\n",
      "Epoch 2, Average Validation: NDCG: 0.6931266531675289, DCG 1.7719145575599577, Average Rank 4.532564102564103, ERR 0.06658538082278045\n",
      "Average Validation Group Exposure disparity: 0.8052554781210862, Group Asymmetric disparity: 0.0008328931646967086\n",
      "\n",
      "Averages of last 1000 rewards: 0.6752794781661924, ndcgs: 0.6752794781661924, dcgs: 1.6645772404464725\n",
      "Evaluating on validation set: iteration 250/500 of epoch 2\n",
      "Epoch 2, Average Validation: NDCG: 0.6896702307026026, DCG 1.7642950030980125, Average Rank 4.6, ERR 0.06611940513507811\n",
      "Average Validation Group Exposure disparity: 0.7845556947786421, Group Asymmetric disparity: 0.0010097701420422732\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 3\n",
      "Epoch 3, Average Validation: NDCG: 0.6964357423503923, DCG 1.780077973519751, Average Rank 4.512564102564102, ERR 0.0672146865185971\n",
      "Average Validation Group Exposure disparity: 0.7501277414056324, Group Asymmetric disparity: 0.00077931923527221\n",
      "\n",
      "Averages of last 1000 rewards: 0.6767550337505104, ndcgs: 0.6767550337505104, dcgs: 1.6576077968126164\n",
      "Evaluating on validation set: iteration 250/500 of epoch 3\n",
      "Epoch 3, Average Validation: NDCG: 0.6861563954469784, DCG 1.7563395834613635, Average Rank 4.573333333333333, ERR 0.06539458705817197\n",
      "Average Validation Group Exposure disparity: 0.7740983721014182, Group Asymmetric disparity: 0.0\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 4\n",
      "Epoch 4, Average Validation: NDCG: 0.6881240690189729, DCG 1.7619677454848333, Average Rank 4.615128205128205, ERR 0.06593754957346762\n",
      "Average Validation Group Exposure disparity: 0.7732942489889588, Group Asymmetric disparity: 0.001213004234159576\n",
      "\n",
      "Averages of last 1000 rewards: 0.6796717889636966, ndcgs: 0.6796717889636966, dcgs: 1.6640203461490624\n",
      "Evaluating on validation set: iteration 250/500 of epoch 4\n",
      "Epoch 4, Average Validation: NDCG: 0.6900826772310004, DCG 1.7636852345905567, Average Rank 4.567948717948718, ERR 0.0659790376130473\n",
      "Average Validation Group Exposure disparity: 0.7550702300371935, Group Asymmetric disparity: 0.004521885116533325\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 5\n",
      "Epoch 5, Average Validation: NDCG: 0.6847201701223499, DCG 1.7535063592236253, Average Rank 4.6523076923076925, ERR 0.06532220632107891\n",
      "Average Validation Group Exposure disparity: 0.7866773532862807, Group Asymmetric disparity: 0.0013995759864849921\n",
      "\n",
      "Averages of last 1000 rewards: 0.6763871486477906, ndcgs: 0.6763871486477906, dcgs: 1.6568004518310766\n",
      "Evaluating on validation set: iteration 250/500 of epoch 5\n",
      "Epoch 5, Average Validation: NDCG: 0.6905816494128872, DCG 1.763590230495903, Average Rank 4.585641025641026, ERR 0.06602029046946398\n",
      "Average Validation Group Exposure disparity: 0.7782394382919852, Group Asymmetric disparity: 0.0\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 6\n",
      "Epoch 6, Average Validation: NDCG: 0.6901839781103702, DCG 1.7635416047075376, Average Rank 4.601794871794872, ERR 0.06605038908498237\n",
      "Average Validation Group Exposure disparity: 0.7690772989931648, Group Asymmetric disparity: 0.0013565694730249811\n",
      "\n",
      "Averages of last 1000 rewards: 0.6901254194504545, ndcgs: 0.6901254194504545, dcgs: 1.7214623935605082\n",
      "Evaluating on validation set: iteration 250/500 of epoch 6\n",
      "Epoch 6, Average Validation: NDCG: 0.6768217108874159, DCG 1.734960851513181, Average Rank 4.67025641025641, ERR 0.06381511814029599\n",
      "Average Validation Group Exposure disparity: 0.8336285938269897, Group Asymmetric disparity: 0.002679323711683267\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 7\n",
      "Epoch 7, Average Validation: NDCG: 0.696845812916662, DCG 1.7711016497275225, Average Rank 4.544871794871795, ERR 0.0665719844768818\n",
      "Average Validation Group Exposure disparity: 0.7686854347277233, Group Asymmetric disparity: 0.0007550333113345787\n",
      "\n",
      "Averages of last 1000 rewards: 0.6859480318702996, ndcgs: 0.6859480318702996, dcgs: 1.6805698494533032\n",
      "Evaluating on validation set: iteration 250/500 of epoch 7\n",
      "Epoch 7, Average Validation: NDCG: 0.6901645652899623, DCG 1.7664687462138422, Average Rank 4.563846153846153, ERR 0.0661979728743626\n",
      "Average Validation Group Exposure disparity: 0.8042249306582626, Group Asymmetric disparity: 0.0008678441928917868\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.6984322462108694, DCG 1.7833450053680449, Average Rank 4.506410256410256, ERR 0.06749109068924833\n",
      "Average Validation Group Exposure disparity: 0.7559603688138737, Group Asymmetric disparity: 0.0009251961007234655\n",
      "\n",
      "Averages of last 1000 rewards: 0.6818037217627159, ndcgs: 0.6818037217627159, dcgs: 1.6760461384162282\n",
      "Evaluating on validation set: iteration 250/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.6950519228286436, DCG 1.7786506422125554, Average Rank 4.477692307692307, ERR 0.06699604294234895\n",
      "Average Validation Group Exposure disparity: 0.7298471234823997, Group Asymmetric disparity: 0.0\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 9\n",
      "Epoch 9, Average Validation: NDCG: 0.7054664013224246, DCG 1.8016976676125063, Average Rank 4.442051282051282, ERR 0.06885751472376508\n",
      "Average Validation Group Exposure disparity: 0.741526041429775, Group Asymmetric disparity: 0.000524115606230846\n",
      "\n",
      "Averages of last 1000 rewards: 0.6943995630312031, ndcgs: 0.6943995630312031, dcgs: 1.7293221583796308\n",
      "Evaluating on validation set: iteration 250/500 of epoch 9\n",
      "Epoch 9, Average Validation: NDCG: 0.6951242426159305, DCG 1.7811804209329807, Average Rank 4.49, ERR 0.06724911665849218\n",
      "Average Validation Group Exposure disparity: 0.7372961220867649, Group Asymmetric disparity: 0.0019081047708751598\n",
      "Epoch 9, Average Validation: NDCG: 0.6991170014568355, DCG 1.7830154969119025, Average Rank 4.481025641025641, ERR 0.06740708639421954\n",
      "Average Validation Group Exposure disparity: 0.746846247781029, Group Asymmetric disparity: 0.0021316011000468483\n",
      "{'ndcg': 0.6948379926940873, 'dcg': 1.7798645916222833, 'avg_rank': 4.496282051282051, 'err': 0.06716841688147146, 'avg_group_disparity': 0.7505559882825987, 'avg_group_asym_disparity': 0.0008522452674889758}\n",
      "Learnt model for lambda=25.0 has model weights as [0.0005277575692161918, 0.06220906972885132, -0.0595015287399292, -0.0058188047260046005, 0.0056883711367845535, 0.09699569642543793, -0.013943146914243698, -0.057588569819927216, 0.05521812289953232, 0.05216599628329277, -0.057403720915317535, 0.024715984240174294, 0.07889115810394287, 0.03135678544640541, 0.02112899161875248, -0.1896551549434662, -0.05938814580440521, 0.030951710417866707, 0.010012274608016014, -0.06485744565725327, 0.03989729657769203, 0.0888313576579094, -0.060283251106739044, -0.10989052802324295, -0.11078745871782303, 0.11571081727743149, -0.0319782979786396, -0.028090542182326317, 0.08725797384977341]\n",
      "Starting training with the following config\n",
      "Learning rate 0.001, Weight decay 0.0, Sample size 25\n",
      "Lambda_reward: 1.0, lambda_ind_fairness:0.0, lambda_group_fairness:50.0\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.6925842883323888, DCG 1.771287494357188, Average Rank 4.553333333333334, ERR 0.06657623930190845\n",
      "Average Validation Group Exposure disparity: 0.7332500183780524, Group Asymmetric disparity: 0.0005936978733703946\n",
      "\n",
      "Averages of last 1000 rewards: 0.6810893871823664, ndcgs: 0.6810893871823664, dcgs: 1.675240129713314\n",
      "Evaluating on validation set: iteration 250/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.6984995265953752, DCG 1.781609693077551, Average Rank 4.523333333333333, ERR 0.06740006223733773\n",
      "Average Validation Group Exposure disparity: 0.7266376669801116, Group Asymmetric disparity: 0.00014244366359781102\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.6917169733846125, DCG 1.7688862437111543, Average Rank 4.5317948717948715, ERR 0.06633884095707575\n",
      "Average Validation Group Exposure disparity: 0.7812799215489634, Group Asymmetric disparity: 0.002917589640390742\n",
      "\n",
      "Averages of last 1000 rewards: 0.678027771474541, ndcgs: 0.678027771474541, dcgs: 1.6384833731966995\n",
      "Evaluating on validation set: iteration 250/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.7047116530904199, DCG 1.8003657431693296, Average Rank 4.415897435897436, ERR 0.0686707814910061\n",
      "Average Validation Group Exposure disparity: 0.7652622037914623, Group Asymmetric disparity: 0.001963184994672892\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 2\n",
      "Epoch 2, Average Validation: NDCG: 0.6997243856411164, DCG 1.7861014835768867, Average Rank 4.5341025641025645, ERR 0.06781057876530372\n",
      "Average Validation Group Exposure disparity: 0.6888844878787161, Group Asymmetric disparity: 0.00218718176274612\n",
      "\n",
      "Averages of last 1000 rewards: 0.6897207693320196, ndcgs: 0.6897207693320196, dcgs: 1.714802146599321\n",
      "Evaluating on validation set: iteration 250/500 of epoch 2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 2, Average Validation: NDCG: 0.6919684546567889, DCG 1.7688739095490262, Average Rank 4.568461538461539, ERR 0.06643232798519708\n",
      "Average Validation Group Exposure disparity: 0.7964319922459003, Group Asymmetric disparity: 0.0\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 3\n",
      "Epoch 3, Average Validation: NDCG: 0.6960232921008392, DCG 1.7755966245491743, Average Rank 4.515128205128205, ERR 0.06686111511908885\n",
      "Average Validation Group Exposure disparity: 0.742356135713615, Group Asymmetric disparity: 0.0020684835378291357\n",
      "\n",
      "Averages of last 1000 rewards: 0.6907279253461863, ndcgs: 0.6907279253461863, dcgs: 1.7186134514655058\n",
      "Evaluating on validation set: iteration 250/500 of epoch 3\n",
      "Epoch 3, Average Validation: NDCG: 0.7047819379338374, DCG 1.7955716823330696, Average Rank 4.468974358974359, ERR 0.0684337717630139\n",
      "Average Validation Group Exposure disparity: 0.7452403597837284, Group Asymmetric disparity: 0.001819607153991455\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 4\n",
      "Epoch 4, Average Validation: NDCG: 0.6928138150295166, DCG 1.767443420916308, Average Rank 4.5835897435897435, ERR 0.06633870509130332\n",
      "Average Validation Group Exposure disparity: 0.7366366534234219, Group Asymmetric disparity: 0.0008630478972071054\n",
      "\n",
      "Averages of last 1000 rewards: 0.681918633204758, ndcgs: 0.681918633204758, dcgs: 1.7009284643972515\n",
      "Evaluating on validation set: iteration 250/500 of epoch 4\n",
      "Epoch 4, Average Validation: NDCG: 0.6965014329022288, DCG 1.7777415093030513, Average Rank 4.512051282051282, ERR 0.06700565651798703\n",
      "Average Validation Group Exposure disparity: 0.7984020008768055, Group Asymmetric disparity: 0.0014471718219537843\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 5\n",
      "Epoch 5, Average Validation: NDCG: 0.6922852687592613, DCG 1.7673867199213087, Average Rank 4.5717948717948715, ERR 0.06629392263592065\n",
      "Average Validation Group Exposure disparity: 0.776699559325162, Group Asymmetric disparity: 0.0030991727137814353\n",
      "\n",
      "Averages of last 1000 rewards: 0.6764317445521827, ndcgs: 0.6764317445521827, dcgs: 1.6362744058215821\n",
      "Evaluating on validation set: iteration 250/500 of epoch 5\n",
      "Epoch 5, Average Validation: NDCG: 0.6926714183969114, DCG 1.770702910598218, Average Rank 4.568461538461539, ERR 0.0665866308647814\n",
      "Average Validation Group Exposure disparity: 0.7343154000833607, Group Asymmetric disparity: 0.0011008358055573898\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 6\n",
      "Epoch 6, Average Validation: NDCG: 0.6918795496471679, DCG 1.7702035011969215, Average Rank 4.541282051282051, ERR 0.06647559283670743\n",
      "Average Validation Group Exposure disparity: 0.716166694552295, Group Asymmetric disparity: 0.0012274645350469327\n",
      "\n",
      "Averages of last 1000 rewards: 0.6856752172087853, ndcgs: 0.6856752172087853, dcgs: 1.7162614538189793\n",
      "Evaluating on validation set: iteration 250/500 of epoch 6\n",
      "Epoch 6, Average Validation: NDCG: 0.7042638085289447, DCG 1.7999075873105108, Average Rank 4.418974358974359, ERR 0.06865754710319193\n",
      "Average Validation Group Exposure disparity: 0.7495592667969135, Group Asymmetric disparity: 0.0\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 7\n",
      "Epoch 7, Average Validation: NDCG: 0.698960215309855, DCG 1.7818584279944896, Average Rank 4.478205128205128, ERR 0.06729282988260411\n",
      "Average Validation Group Exposure disparity: 0.7300875921048184, Group Asymmetric disparity: 0.000722524437519243\n",
      "\n",
      "Averages of last 1000 rewards: 0.6833115883760739, ndcgs: 0.6833115883760739, dcgs: 1.6976138562562049\n",
      "Evaluating on validation set: iteration 250/500 of epoch 7\n",
      "Epoch 7, Average Validation: NDCG: 0.7007965756771304, DCG 1.788306239227667, Average Rank 4.462051282051282, ERR 0.06781201744486534\n",
      "Average Validation Group Exposure disparity: 0.751671746731075, Group Asymmetric disparity: 0.0009945316439599328\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.6929983305468334, DCG 1.77226713961558, Average Rank 4.529487179487179, ERR 0.06661799056738521\n",
      "Average Validation Group Exposure disparity: 0.7790138365884421, Group Asymmetric disparity: 0.0001979215545995716\n",
      "\n",
      "Averages of last 1000 rewards: 0.6813061256947324, ndcgs: 0.6813061256947324, dcgs: 1.6761084821371524\n",
      "Evaluating on validation set: iteration 250/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.681659617200801, DCG 1.7430112056491367, Average Rank 4.645384615384615, ERR 0.06442641033699979\n",
      "Average Validation Group Exposure disparity: 0.7600927663757301, Group Asymmetric disparity: 0.0016677316993498714\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 9\n",
      "Epoch 9, Average Validation: NDCG: 0.6937993857766865, DCG 1.770769324018782, Average Rank 4.547692307692308, ERR 0.0665584599274461\n",
      "Average Validation Group Exposure disparity: 0.802170127724484, Group Asymmetric disparity: 0.0011675926787056278\n",
      "\n",
      "Averages of last 1000 rewards: 0.677502547444191, ndcgs: 0.677502547444191, dcgs: 1.6526766291701345\n",
      "Evaluating on validation set: iteration 250/500 of epoch 9\n",
      "Epoch 9, Average Validation: NDCG: 0.6900563887421659, DCG 1.7652015171865505, Average Rank 4.544358974358975, ERR 0.06603381154942298\n",
      "Average Validation Group Exposure disparity: 0.7936494799442201, Group Asymmetric disparity: 0.003391196129369388\n",
      "Epoch 9, Average Validation: NDCG: 0.6994601083043135, DCG 1.7869935140748963, Average Rank 4.524102564102564, ERR 0.06786638987874723\n",
      "Average Validation Group Exposure disparity: 0.7211435706994008, Group Asymmetric disparity: 0.00048711778825140996\n",
      "{'ndcg': 0.6901386398995516, 'dcg': 1.7639204100079624, 'avg_rank': 4.576410256410257, 'err': 0.06601317004421693, 'avg_group_disparity': 0.7446888101917044, 'avg_group_asym_disparity': 0.0001512658754670737}\n",
      "Learnt model for lambda=50.0 has model weights as [-0.04476005956530571, 0.02824261039495468, -0.036569543182849884, 0.012574171647429466, -0.012519139796495438, 0.09882497042417526, -0.03642133250832558, -0.027148455381393433, 0.023725703358650208, 0.03890221193432808, -0.07896747440099716, 0.06373076885938644, 0.029241910204291344, 0.09723679721355438, 0.03361741825938225, -0.24528725445270538, -0.03488107770681381, -0.034133683890104294, 0.009365989826619625, -0.020734470337629318, 0.06932467967271805, 0.10689336806535721, 0.019774915650486946, -0.09705336391925812, -0.1424708068370819, 0.020951615646481514, -0.010919763706624508, -0.0016146519919857383, 0.04312688484787941]\n",
      "Starting training with the following config\n",
      "Learning rate 0.001, Weight decay 0.0, Sample size 25\n",
      "Lambda_reward: 1.0, lambda_ind_fairness:0.0, lambda_group_fairness:100.0\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.6961676236380915, DCG 1.773515244248751, Average Rank 4.50076923076923, ERR 0.06667785183932116\n",
      "Average Validation Group Exposure disparity: 0.7474747153299584, Group Asymmetric disparity: 0.0026706122922433963\n",
      "\n",
      "Averages of last 1000 rewards: 0.6840960786247787, ndcgs: 0.6840960786247787, dcgs: 1.6697768855458133\n",
      "Evaluating on validation set: iteration 250/500 of epoch 0\n",
      "Epoch 0, Average Validation: NDCG: 0.6913390419013672, DCG 1.7729739825461406, Average Rank 4.5346153846153845, ERR 0.06665376032907441\n",
      "Average Validation Group Exposure disparity: 0.7553481252430352, Group Asymmetric disparity: 6.52270583363601e-05\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.6927652952003046, DCG 1.7676876137300461, Average Rank 4.587179487179487, ERR 0.06637973144444423\n",
      "Average Validation Group Exposure disparity: 0.769383071822782, Group Asymmetric disparity: 0.0018473871664828156\n",
      "\n",
      "Averages of last 1000 rewards: 0.685664153880186, ndcgs: 0.685664153880186, dcgs: 1.6935932795130346\n",
      "Evaluating on validation set: iteration 250/500 of epoch 1\n",
      "Epoch 1, Average Validation: NDCG: 0.6965338476074762, DCG 1.780145416174673, Average Rank 4.495641025641025, ERR 0.06718286661671978\n",
      "Average Validation Group Exposure disparity: 0.732271519504269, Group Asymmetric disparity: 0.0008803897257755377\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 2\n",
      "Epoch 2, Average Validation: NDCG: 0.69562263752632, DCG 1.7776809303478782, Average Rank 4.50076923076923, ERR 0.06701051766200244\n",
      "Average Validation Group Exposure disparity: 0.7674346575090577, Group Asymmetric disparity: 0.0003340357768164126\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Averages of last 1000 rewards: 0.6952411356867126, ndcgs: 0.6952411356867126, dcgs: 1.7300916758970968\n",
      "Evaluating on validation set: iteration 250/500 of epoch 2\n",
      "Epoch 2, Average Validation: NDCG: 0.7006870004320841, DCG 1.7896377753904684, Average Rank 4.486923076923077, ERR 0.06799335878665294\n",
      "Average Validation Group Exposure disparity: 0.7581432160071303, Group Asymmetric disparity: 0.0005013385335885512\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 3\n",
      "Epoch 3, Average Validation: NDCG: 0.6923691792847212, DCG 1.766145240015211, Average Rank 4.547435897435897, ERR 0.06617614982346977\n",
      "Average Validation Group Exposure disparity: 0.7508127246899078, Group Asymmetric disparity: 0.00015323041514374137\n",
      "\n",
      "Averages of last 1000 rewards: 0.6764513021649983, ndcgs: 0.6764513021649983, dcgs: 1.627945416512482\n",
      "Evaluating on validation set: iteration 250/500 of epoch 3\n",
      "Epoch 3, Average Validation: NDCG: 0.7072576027949197, DCG 1.8004745016399955, Average Rank 4.432564102564102, ERR 0.06877149146887111\n",
      "Average Validation Group Exposure disparity: 0.7720487394673914, Group Asymmetric disparity: 0.0\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 4\n",
      "Epoch 4, Average Validation: NDCG: 0.6977793870073209, DCG 1.7833810374409642, Average Rank 4.4917948717948715, ERR 0.06743129582758402\n",
      "Average Validation Group Exposure disparity: 0.7501885964969596, Group Asymmetric disparity: 0.0026228772598805073\n",
      "\n",
      "Averages of last 1000 rewards: 0.6992964024766578, ndcgs: 0.6992964024766578, dcgs: 1.7532687286607302\n",
      "Evaluating on validation set: iteration 250/500 of epoch 4\n",
      "Epoch 4, Average Validation: NDCG: 0.6950797431090109, DCG 1.7790202635950079, Average Rank 4.514102564102564, ERR 0.06712020281787688\n",
      "Average Validation Group Exposure disparity: 0.7480358523719741, Group Asymmetric disparity: 0.0005267704776515824\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 5\n",
      "Epoch 5, Average Validation: NDCG: 0.693420393920316, DCG 1.7782964082348967, Average Rank 4.525897435897436, ERR 0.067095599115667\n",
      "Average Validation Group Exposure disparity: 0.7285608426486189, Group Asymmetric disparity: 0.003125953844382322\n",
      "\n",
      "Averages of last 1000 rewards: 0.6883704280567429, ndcgs: 0.6883704280567429, dcgs: 1.6967973609958786\n",
      "Evaluating on validation set: iteration 250/500 of epoch 5\n",
      "Epoch 5, Average Validation: NDCG: 0.7007460313394789, DCG 1.7864101011061666, Average Rank 4.5058974358974355, ERR 0.06775653041604174\n",
      "Average Validation Group Exposure disparity: 0.7924830229758818, Group Asymmetric disparity: 0.0023460195602272326\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 6\n",
      "Epoch 6, Average Validation: NDCG: 0.692878410875847, DCG 1.773376066967654, Average Rank 4.545384615384616, ERR 0.06672505229103548\n",
      "Average Validation Group Exposure disparity: 0.765293089019244, Group Asymmetric disparity: 0.0037288269904450413\n",
      "\n",
      "Averages of last 1000 rewards: 0.6821127436575501, ndcgs: 0.6821127436575501, dcgs: 1.6938555859499898\n",
      "Evaluating on validation set: iteration 250/500 of epoch 6\n",
      "Epoch 6, Average Validation: NDCG: 0.6880067818725665, DCG 1.7590404881158719, Average Rank 4.563846153846153, ERR 0.06555493966220687\n",
      "Average Validation Group Exposure disparity: 0.7707207534881924, Group Asymmetric disparity: 0.0007852085352755967\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 7\n",
      "Epoch 7, Average Validation: NDCG: 0.6943839317400324, DCG 1.7745579725542628, Average Rank 4.504615384615384, ERR 0.06672029044337853\n",
      "Average Validation Group Exposure disparity: 0.725967212961846, Group Asymmetric disparity: 0.0012051126301411475\n",
      "\n",
      "Averages of last 1000 rewards: 0.6884549373154157, ndcgs: 0.6884549373154157, dcgs: 1.6818219804879975\n",
      "Evaluating on validation set: iteration 250/500 of epoch 7\n",
      "Epoch 7, Average Validation: NDCG: 0.7030667881471453, DCG 1.7969599804311402, Average Rank 4.451025641025641, ERR 0.06851232958426626\n",
      "Average Validation Group Exposure disparity: 0.6866905378060281, Group Asymmetric disparity: 0.00018333352845273043\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.6945015483329233, DCG 1.7784314598967188, Average Rank 4.561538461538461, ERR 0.06720601298230042\n",
      "Average Validation Group Exposure disparity: 0.7324155454737764, Group Asymmetric disparity: 2.0578380477420664e-09\n",
      "\n",
      "Averages of last 1000 rewards: 0.689627604961957, ndcgs: 0.689627604961957, dcgs: 1.684802015864529\n",
      "Evaluating on validation set: iteration 250/500 of epoch 8\n",
      "Epoch 8, Average Validation: NDCG: 0.7018411072572062, DCG 1.7943663386299178, Average Rank 4.4569230769230765, ERR 0.06831578588011446\n",
      "Average Validation Group Exposure disparity: 0.7016497370755661, Group Asymmetric disparity: 0.0\n",
      "Training....\n",
      "Evaluating on validation set: iteration 0/500 of epoch 9\n",
      "Epoch 9, Average Validation: NDCG: 0.6973292335653254, DCG 1.7818654405411498, Average Rank 4.48, ERR 0.0673017590571377\n",
      "Average Validation Group Exposure disparity: 0.7725286760295091, Group Asymmetric disparity: 0.002929278922029146\n",
      "\n",
      "Averages of last 1000 rewards: 0.6740351581718769, ndcgs: 0.6740351581718769, dcgs: 1.6138743954843413\n",
      "Evaluating on validation set: iteration 250/500 of epoch 9\n",
      "Epoch 9, Average Validation: NDCG: 0.6998152839776661, DCG 1.7892854066950163, Average Rank 4.4653846153846155, ERR 0.06788388821570136\n",
      "Average Validation Group Exposure disparity: 0.7685148482462506, Group Asymmetric disparity: 0.00134217749709016\n",
      "Epoch 9, Average Validation: NDCG: 0.7004511835821502, DCG 1.7914947125489502, Average Rank 4.43025641025641, ERR 0.06798020720219226\n",
      "Average Validation Group Exposure disparity: 0.7555637998759859, Group Asymmetric disparity: 0.0010177343373495306\n",
      "{'ndcg': 0.7010591727985901, 'dcg': 1.7910623426248142, 'avg_rank': 4.447564102564103, 'err': 0.06797883346219628, 'avg_group_disparity': 0.7318578151995283, 'avg_group_asym_disparity': 0.0008909799393415197}\n",
      "Learnt model for lambda=100.0 has model weights as [-0.042214736342430115, -0.017796771600842476, -0.03172386810183525, -0.0004052588192280382, 0.0003922059549950063, 0.04391516000032425, -0.009656370617449284, -0.03787996619939804, 0.055475231260061264, 0.05136683210730553, -0.027620315551757812, -0.00827775988727808, 0.0634625032544136, 0.05320415273308754, 0.05197861045598984, -0.16367650032043457, -0.11409766972064972, 0.05201931670308113, -0.001343538868241012, -0.08854854106903076, 0.06209865212440491, 0.05929168313741684, -0.07089849561452866, -0.031044108793139458, -0.03443382307887077, 0.028036193922162056, 0.003510685171931982, 0.015433239750564098, 0.13199904561042786]\n"
     ]
    }
   ],
   "source": [
    "model_params_list = []\n",
    "lambdas_list = [0.0, 0.1, 1.0, 10.0, 12.0, 15.0, 20.0, 25.0, 50.0, 100.0]\n",
    "plt_data_pl = np.zeros((len(lambdas_list)+1, 2))\n",
    "for i, lgroup in enumerate(lambdas_list):\n",
    "        torch.set_num_threads(args.num_cores)\n",
    "        args.lambda_reward = 1.0\n",
    "        args.lambda_ind_fairness = 0.0\n",
    "        args.lambda_group_fairness = lgroup\n",
    "        \n",
    "        args.lr = 0.001\n",
    "        args.epochs = 10\n",
    "        args.progressbar = False\n",
    "        args.weight_decay = 0.0\n",
    "        args.sample_size = 25\n",
    "        args.optimizer = \"Adam\"\n",
    "\n",
    "        model = LinearModel(D=args.input_dim)\n",
    "\n",
    "        model = on_policy_training(dr, vdr, model, args=args)\n",
    "        if i == 0:\n",
    "            results = evaluate_model(model, vdr, fairness_evaluation=False, group_fairness_evaluation=True, \n",
    "                                 deterministic=True, args=args, num_sample_per_query=20)\n",
    "            print(results)\n",
    "            plt_data_pl[0] = [results[\"ndcg\"], results[\"avg_group_asym_disparity\"]]\n",
    "        results = evaluate_model(model, vdr, fairness_evaluation=False, group_fairness_evaluation=True, \n",
    "                                 deterministic=False, args=args, num_sample_per_query=20)\n",
    "        print(results)\n",
    "        model_params_list.append(model.w.weight.data.tolist()[0])\n",
    "        print(\"Learnt model for lambda={} has model weights as {}\".format(lgroup, model_params_list[-1]))\n",
    "        plt_data_pl[i+1] = [results[\"ndcg\"], results[\"avg_group_asym_disparity\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[8.29642053e-01, 1.84321520e-02],\n",
       "       [8.16180549e-01, 1.03863327e-02],\n",
       "       [8.16124123e-01, 9.04382583e-03],\n",
       "       [8.05925389e-01, 6.39477222e-03],\n",
       "       [7.10396780e-01, 2.21628231e-03],\n",
       "       [7.06074109e-01, 1.31592079e-04],\n",
       "       [7.05714584e-01, 1.39066101e-04],\n",
       "       [7.14349438e-01, 4.81621153e-04],\n",
       "       [6.94837993e-01, 8.52245267e-04],\n",
       "       [6.90138640e-01, 1.51265875e-04],\n",
       "       [7.01059173e-01, 8.90979939e-04]])"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt_data_pl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "from itertools import permutations \n",
    "from scipy.optimize import linprog"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "hide_input": true
   },
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "def assign_groups(groups):\n",
    "    G = [[], []]\n",
    "    for i in range(len(groups)):\n",
    "        G[groups[i]].append(i)\n",
    "    return G\n",
    "\n",
    "\n",
    "def fair_rank(relevances, groups ,lmda = 1):\n",
    "    n = len(relevances)\n",
    "    pos_bias = vvector(n)\n",
    "    G = assign_groups(groups)\n",
    "    n_g, n_i = 0, 0\n",
    "    n_g += (len(G)-1)*len(G)\n",
    "    n_c = n**2 + n_g \n",
    "    \n",
    "    \n",
    "    c = np.ones(n_c)\n",
    "    c[:n**2] *= -1\n",
    "    c[n**2:] *= lmda\n",
    "    A_eq = []\n",
    "    #For each Row\n",
    "    for i in range(n):\n",
    "        A_temp = np.zeros(n_c)\n",
    "        A_temp[i*n:(i+1)*n] = 1\n",
    "        assert(sum(A_temp)==n)\n",
    "        A_eq.append(A_temp)\n",
    "        c[i*n:(i+1)*n] *= relevances[i]\n",
    "\n",
    "    #For each coloumn\n",
    "    for i in range(n):\n",
    "        A_temp = np.zeros(n_c)\n",
    "        A_temp[i:n**2:n] = 1\n",
    "        assert(sum(A_temp)==n)\n",
    "        A_eq.append(A_temp)\n",
    "        #Optimization \n",
    "        c[i:n**2:n] *= pos_bias[i] \n",
    "    b_eq = np.ones(n*2) \n",
    "    A_eq = np.asarray(A_eq)\n",
    "    bounds = [(0,1) for _ in range(n**2)] + [(0,None) for _ in range(n_g+n_i)]\n",
    "    \n",
    "    \n",
    "    A_ub = []\n",
    "    b_ub = np.zeros(n_g)\n",
    "    sum_rels = []\n",
    "    for group in G:\n",
    "        #Avoid devision by zero\n",
    "        sum_rel = np.max([np.sum(np.asarray(relevances)[group]), 0.01])\n",
    "        sum_rels.append(sum_rel)\n",
    "    comparisons = list(permutations(np.arange(len(G)),2))\n",
    "    j = 0\n",
    "    for a,b in comparisons:\n",
    "        f = np.zeros(n_c)\n",
    "        if len(G[a]) > 0 and len(G[b])>0 and sum_rels[a]/len(G[a]) >= sum_rels[b]/len(G[b]):\n",
    "            for i in range(n):\n",
    "                tmp1 = len(G[a]) / sum_rels[a] if i in G[a] else 0 \n",
    "                tmp2 = len(G[b]) / sum_rels[b] if i in G[b] else 0 \n",
    "                #f[i*n:(i+1)*n] *= max(0, sign*(tmp1 - tmp2))\n",
    "                f[i*n:(i+1)*n] =  (tmp1 - tmp2)\n",
    "            for i in range(n):\n",
    "                f[i:n**2:n] *= pos_bias[i]\n",
    "            f[n**2+j] = -1\n",
    "        j += 1\n",
    "        A_ub.append(f)\n",
    "\n",
    "    res = linprog(c, A_eq=A_eq, b_eq=b_eq, A_ub=A_ub, b_ub=b_ub, bounds=bounds, \n",
    "                                  method = \"interior-point\")#, options=dict(tol=1e-12),)\n",
    "    if res.success is False:\n",
    "        print(\"Constraint not satisfied!!\")\n",
    "    probabilistic_ranking = np.reshape(res.x[:n**2],(n,n))\n",
    "    return probabilistic_ranking, res, res.fun"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "hide_input": false
   },
   "outputs": [],
   "source": [
    "from baselines import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.19917080789519112\n"
     ]
    }
   ],
   "source": [
    "# Linear regression\n",
    "from sklearn import linear_model\n",
    "model = linear_model.LinearRegression(fit_intercept=False, normalize=False)\n",
    "feats, rel = dr.data\n",
    "feats = np.array([item for sublist in feats for item in sublist])\n",
    "rel = np.array([item for sublist in rel for item in sublist])\n",
    "model.fit(feats, rel)\n",
    "# predictions on validation\n",
    "feats, rel = vdr.data\n",
    "se_sum = 0\n",
    "length = 0\n",
    "predicted_rels = []\n",
    "for i, query in enumerate(feats):\n",
    "    rel_pred = model.predict(query)\n",
    "    predicted_rels.append(rel_pred)\n",
    "    se_sum += np.sum((rel_pred - rel[i])**2)\n",
    "    length += len(rel[i])\n",
    "print(se_sum/ length)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ashudeep/anaconda3/lib/python3.6/site-packages/scipy/optimize/_linprog_util.py:704: OptimizeWarning: A_eq does not appear to be of full row rank. To improve performance, check the problem formulation for redundant equality constraints.\n",
      "  warn(redundancy_warning, OptimizeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lambda: 0.0, Average Test Fairness Loss: 0.014467162787184136, Average Test NDCG: 0.8270660079889922\n",
      "Lambda: 0.010526315789473684, Average Test Fairness Loss: 0.011632890573141808, Average Test NDCG: 0.8297516525742858\n",
      "Lambda: 0.021052631578947368, Average Test Fairness Loss: 0.009305555175643285, Average Test NDCG: 0.8288665804838848\n",
      "Lambda: 0.031578947368421054, Average Test Fairness Loss: 0.009636324742209412, Average Test NDCG: 0.8264644860824426\n",
      "Lambda: 0.042105263157894736, Average Test Fairness Loss: 0.009465925979891213, Average Test NDCG: 0.824695332514162\n",
      "Lambda: 0.05263157894736842, Average Test Fairness Loss: 0.01432072826416357, Average Test NDCG: 0.8212930853453417\n",
      "Lambda: 0.06315789473684211, Average Test Fairness Loss: 0.023736614649109207, Average Test NDCG: 0.8184897697406501\n",
      "Lambda: 0.07368421052631578, Average Test Fairness Loss: 0.03621591328296291, Average Test NDCG: 0.8138892020745492\n",
      "Lambda: 0.08421052631578947, Average Test Fairness Loss: 0.03730699466519902, Average Test NDCG: 0.8046691459399743\n",
      "Lambda: 0.09473684210526316, Average Test Fairness Loss: 0.03561904894050187, Average Test NDCG: 0.8007792025925758\n",
      "Lambda: 0.10526315789473684, Average Test Fairness Loss: 0.039252841557340955, Average Test NDCG: 0.7980604037919578\n",
      "Lambda: 0.11578947368421053, Average Test Fairness Loss: 0.04138114979554406, Average Test NDCG: 0.797170028390082\n",
      "Lambda: 0.12631578947368421, Average Test Fairness Loss: 0.04232404212832062, Average Test NDCG: 0.796682346782879\n",
      "Lambda: 0.1368421052631579, Average Test Fairness Loss: 0.04326693544899516, Average Test NDCG: 0.7967426536509146\n",
      "Lambda: 0.14736842105263157, Average Test Fairness Loss: 0.046179816727761905, Average Test NDCG: 0.7967426542176468\n",
      "Lambda: 0.15789473684210525, Average Test Fairness Loss: 0.046179816489743127, Average Test NDCG: 0.7967426585629734\n",
      "Lambda: 0.16842105263157894, Average Test Fairness Loss: 0.046179816717928854, Average Test NDCG: 0.7967426623133753\n",
      "Lambda: 0.17894736842105263, Average Test Fairness Loss: 0.046179816709767084, Average Test NDCG: 0.7967426650594096\n",
      "Lambda: 0.18947368421052632, Average Test Fairness Loss: 0.04617981670266268, Average Test NDCG: 0.7965805849633091\n",
      "Lambda: 0.2, Average Test Fairness Loss: 0.04617981670157146, Average Test NDCG: 0.7965805822078974\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f137b390080>"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
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\n",
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# # for each lambda\n",
    "# now for each query, estimate all relevances\n",
    "# we find a fair ranking, find it's loss w.r.t true relevances\n",
    "lmbdas = np.linspace(0, 0.2, 20)\n",
    "\n",
    "plt_data = np.zeros((len(lmbdas), 2))\n",
    "\n",
    "for j, lmbda in enumerate(lmbdas):\n",
    "    test_losses = []\n",
    "    test_ndcgs = []\n",
    "    \n",
    "    for i in range(len(predicted_rels)):\n",
    "        true_rels = rel[i]\n",
    "        pred_rels = predicted_rels[i]\n",
    "        groups = np.array(feats[i][:, args.group_feat_id], dtype=np.int)\n",
    "        n = len(groups)\n",
    "        \n",
    "        P, _, _ = fair_rank(pred_rels, groups, lmbda)\n",
    "        \n",
    "        test_loss = get_fairness_loss(P, true_rels, vvector(n), groups)\n",
    "        test_losses.append(test_loss)\n",
    "        \n",
    "        test_ndcg = get_ndcg(P, true_rels, vvector(n))\n",
    "        test_ndcgs.append(test_ndcg)\n",
    "        \n",
    "    plt_data[j] = [np.mean(test_ndcgs), np.mean(test_losses)]\n",
    "        \n",
    "        \n",
    "    print(\"Lambda: {}, Average Test Fairness Loss: {}, Average Test NDCG: {}\".format(lmbda, \n",
    "                                                     np.mean(test_losses), np.mean(test_ndcgs)))\n",
    "\n",
    "plt.scatter(plt_data[:, 0], plt_data[:, 1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f131ddcf588>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/pdf": 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\n",
      "image/png": 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zkycTtk8MqBIkIYgBADBils7PKp+LP8Tncye0dO7MgCtCJwQxAABGTPninGZPTR4IY/ncCc2emlT54lygytCOIAYAwIiZyuf0/psXVL5UVGFqQmZSYWpC5UtFpq4YMnzpNwAAQJ/xpd8AAABDjiAGAAAQCEEMAAAgEIIYAABAIAQxAACAQAhiAAAAgTCRCAAAY+Zxra7VOxu6cW9LO9U9zUye1NL5WZUvzjHH2IDx2wYAYIw8rtX1+rt3tfWoqlp9X5K0Xd3T6geb+tkvPmHC1wHj1CQAAGNk9c7GMyGsqVbf19ajqlbvbASqbDwRxAAAGCM37m0dCGFNtfq+btz/eMAVjTeCGAAAY2Snupew/YsBVQKJIAYAwFiZmTyZsH1iQJVAIogBADBWls7PKp+LP/zncye0dO7MgCsabwQxAADGSPninGZPTR4IY/ncCc2emlT54lygysYTQQwAgDEylc/p/TcvqHypqMLUhMykwtSEypeKTF0RgLl76BpSKZVKXqlUQpcBAACQyMzW3b2U1I4RMQAAgEAIYgAAAIEQxAAAAAIhiAEAAARCEAMAAAgk1T2qZrYiaVNSQZLcfe0o7aPtknRW0gN3v95b2QAAANmXGMTM7JoaYelmc9nMLjeXe21vZqvuXm5pv25mIowBAIBxk+bU5HJb6Lolqdypcbf2ZjYtabet/WrC6wEAAIykrkHMzOZjVm9LWjhk+4KkFTMrtrVpXwYAABh5SSNiBTWCVKtd6enoVk/t3X1T0qvRv02Lkm6nrhgAAGBEJF0jFhe2mkGroIOnGRPbu/vD5oYozC1IejXuh5vZsqRlSTpzhm+DBwAAoyVpRGxX0Z2PLZrL7SNfh2n/U0m/2zZC9pS7r7l7yd1Lp0+fTigVAAAgW5KC2LYOjnJNS5K7t4+G9dQ+urvyausIGQAAwDjpemrS3R+aWXvgKqjDNV1p25vZZUm3miHMzOYJZAAApFT7TPrwHenBe1J1W5osSGffkF57S8q/GLo69CDN9BVrUXBqWlRjyglJkpkV27YntV9QI5xVzGw6uoPyG4eqHgCAcVP7THpvQbr7Q6n6SJI3/r37w8b62mehK0QPEoOYu1+VVDSzy9GM+Btt84QtqGUesG7to4vzb6kRzHaix4aYvgIAgHQ+fEfa+UiqP3l2ff1JY/2H74SpC4di7h66hlRKpZJXKpXQZQAAENb1YjQS1sHkS9LKxuDqQSwzW3f3UlI7vvQbAIAsqcZNQtDi8y4hDUOHIAYAQJZMts8S1eaFU4OpA31BEAMAIEvOviHlno/flnteOvvNwdaDIyGIAQCQJa+9Jc28cjCM5Z5vrH/trTB14VAIYgAAZEn+RemN29KFtxsX5ps1/r3wdmM984hlStJ3TQIAgGGTf1H6+ncbD2QaI2IAAACBEMQAAAACIYgBAAAEQhADAAAIhCAGAAAQCEEMAAAgEKavAAAAx+5xra5/+1//Uv/+w4/0ZG9fkvR87oT+6YWX9S9+5+9pKj+ekWQ8ew0AAA7tca2u1TsbunFvSzvVPc1MntTS+VmVL87FBqrHtbr+8b/7b9r468fylvVP6vta/WBTt3/5V/qzP/ztsQxjnJoEAACpPa7V9fq7d7X6waa2q3tySdvVPa1+sKnX372rx7X6gees3tnQR7+pPhPCmlzSR795rNU7G8dd+lAiiAEAgNRW72xo61FVtfr+M+tr9X1tParGBqob97b05X5cDGv40qUb9z/ue61ZQBADAACp3bi3dSCENdXq+7GBaqe6l/i6O9UvjlxbFhHEAABAakmhKi5QzUyeTHzdmcmJQ9eUZQQxAACQWlKoigtUS+dn9dwJ6/ic50xaOnfmyLVlEUEMAACktnR+VvlcfHzI507EBqryxTm98tKk4qKYSXrlpSmVL871t9CMIIgBAIDUyhfnNHtq8kAYy+dOaPbUZGygmsrn9Gf//Lf1zy7N6YWTXz3v+ZMnVL5UHNupKyTJ3DvfxTBMSqWSVyqV0GUAADD2ns4jdv9j7VS/0MzkhJbOnek4j9g4MrN1dy8ltiOIAQAA9FfaIMapSQAAgEAIYgAAAIEQxAAAAAIhiAEAAARCEAMAAAiEIAYAABAIQQwAACAQZl0DAABD4elEsfe2tFPd08zkSS2dnx3piWJHs1cAACBTHtfqev3du9p6VFWtvi9J2q7uafWDTf3sF5/o/TcvjGQY49QkAABp1D6T/uL70vWi9G+mG//+xfcb63Fkq3c2nglhTbX6vrYeVbV6ZyNQZccrVbQ0sxVJm5IKkuTua0dtb2aXJZ1196s91gwAwGDVPpPeW5B2PpLqTxrrqo+kuz+Ufvnn0hu3pfyLYWvMuBv3tg6EsKZafV837n+sby9+bcBVHb/EETEzuyZp091vRoFqLgpRh2pvZgtRUCtLmj56FwAAOGYfvvNsCGuqP2ms//CdxjKjZoe2U91L2P7FgCoZrDSnJpfd/WbL8i01QtSh2rv7bXe/LulhT5UCABDKg/cOhrCm+hPpwY+/GjW7+8PGaJn8q1Gz9xYIYwlmJk8mbJ8YUCWD1TWImdl8zOptSQv9aA8AQCZUt7tv//xR+lEzxFo6P6t8Lj6W5HMntHTuzIArGoykEbGCGkGq1a4kmVncacVe2wMAMPwmC923v3Aq3agZOipfnNPsqckDYSyfO6HZU5MqX5wLVNnxSgpiceGpGbTiPpW9tgcAYPidfUPKPR+/Lfe8dPab6UbN0NFUPqf337yg8qWiClMTMpMKUxMqXyqO7NQVUvJdk7s6GKCay3GfuF7bd2Vmy5KWJenMmdEckgQAZMBrbzXujmw/9Zh7Xpp5pbH9wXvRtWEdvHDq+OvMuKl8Tt9e/NpI3h3ZSdKI2LYOjnJNS5K77/ahfVfuvubuJXcvnT59utenAwDQH/kXG1NUXHhbmnxJMmv8e+Htr6auSDNqhqce1+r6o1u/0vz3fq5X/uV/0vz3fq4/uvUrPa7VQ5c2UF1HxNz9oZm1B6iCpNv9aA8AQGbkX5S+/t3GI06aUTNIGt9Z9OOkmb5irW3esEVJq80FMyu2be/aHgCAkZRm1AySxncW/Tjm7smNvpopvyhpt3Wm/Og6rivuvpiy/bwa01mU1Rgt+4Gk2+7edV6xUqnklUqlh64BAIBhNP+9n2u7ywSuhakJPfxXix23Z4GZrbt7KaldqnG/aALWTtvWJK21revW/qEak7l2bAMAAEbXuM6iH4cv/QYAAAM1rrPoxyGIAQBGA9/zmBnjOot+HIIYACD7+J7HTBnXWfTjEMQAANnH9zxmyrjOoh8n1V2Tw4C7JgEAHV0vdp/VfvIlaWV8pkRAeGnvmmREDACQfXzPIzKKIAYAyL7J9q85bsP3PGJIEcQAANnH9zwiowhiAIDse+2txvc5tocxvucRQ44gBgDIPr7nERk1PveHAgBGW/5F6evfbTyAjGBEDAAAIBCCGAAAQCAEMQAAgEAIYgAAAIEQxAAAAAIhiAEAAARCEAMAAAiEIAYAABAIQQwAACAQghgAAEAgBDEAAIBACGIAAACBEMQAAAACIYgBAAAEQhADAAAIhCAGAAAQCEEMAAAgkFzoAhBY7TPpw3ekB+9J1W1psiCdfUN67S0p/2Lo6gAAGGkEsXFW+0x6b0Ha+UiqP2msqz6S7v5Q+uWfS2/cJowBAHCMODU5zj5859kQ1lR/0lj/4Tth6gIAYEwQxMbZg/cOhrCm+hPpwY8HWw8AAGOGIDbOqtvdt3/+aDB1AAAwprhGLM64XMA+WWhcE9bJC6cGVwsAAGMoVRAzsxVJm5IKkuTua0dp3+vrDUQzfP33H0mft40UjeoF7GffaPQr7vRk7nnp7DcHXxMAAGMkMYiZ2TVJD9z9ZnPZzC43l3tt3+vrDUTc3YPt6k+knU3pP16RPv1V7yNlwzjK9tpbjXDZ3u/c89LMK43tAADg2Ji7d29gtuPuMy3LC5KuuvviYdr3+npNpVLJK5VKmj717i++33lkKEkztHQbKesU9NI897g9DYg/blwT9sKpxkjYqJ2GBQBggMxs3d1LSe26joiZ2XzM6m1JC4dp3+vrDUy3uweTtE718PXvxrdJM01Ep+cet/yLjZ8d6ucDADDGku6aLKgRlFrtSpKZTR+ifa+vNxhJdw8mSZrqgWkiAABAjKQgFheOmqmlcIj2Pb2emS2bWcXMKp9++mlCqUcwGdeVHnWb6oFpIgAAQIykILargwGpuRyXLpLa9/R67r7m7iV3L50+fTqh1CM4+0bjeq2j6DbVQ1LQY5oIAADGUlIQ29bBUaxpSXL33UO07/X1BuO1txoXzXcKY5OnpNnXpOfy8duTpnroFvSYJgIAgLHVNYi5+0NF13C1KEi6fZj2vb7ewORfbNy5eOFtafIlyazx76Wr0nf+j7SyKf2Tn0qF4sFAlWaqh05Bj2kiAAAYa2m+4mjNzC63LC9KWm0umFmxbXvX9im2h9G8e3BlQ/rXu41/v/7dr6Zw6BTWLrydPP3EUZ4LAABGVuI8YtIzM+EXJe22zoRvZsuSrrTOA9atfZrtcY51HjEAAIA+SjuPWKogNgwIYgAAICvSBrE0pyYBAABwDAhiAAAAgRDEAAAAAiGIAQAABEIQAwAACIQgBgAAEAhBDAAAIBCCGAAAQCAEMQAAgEAIYgAAAIEQxAAAAAIhiAEAAARCEAMAAAiEIAYAABAIQQwAACAQghgAAEAgBDEAAIBACGIAAACBEMQAAAACIYgBAAAEQhADAAAIhCAGAAAQCEEMAAAgEIIYAABAIObuoWtIxcw+lbQVuo5j8JKk34QuIpBx7rtE/+k//R/X/o9z36Xx6f+su59OapSZIDaqzKzi7qXQdYQwzn2X6D/9p//j2v9x7rtE/9txahIAACAQghgAAEAgBLHw1kIXENA4912i//R/vI1z/8e57xL9fwbXiAEAAATCiBgAAEAgudAFAKPCzFYkbUoqSJK7dxx+N7NVSdfcfTPla6+6e7kvhQJAH/Wy74vaL7csTrv79S5tR37fx6nJPuv3wbjXD3hox9R/STor6UG3/7Ahmdk1Neq7Gbcc035DUjFmU7n9dxa91ry7L/a57L46hvd+WtJyy2tW3P1hX4vuo2Pof+qD1TDo98F4lPd9Ufs0/ZdGb9+30toXM5uXtBDXv6zs+47M3Xn06SHpmqTLnZZj2m9I8pjH8mFeL/TjGPq/2tZ+XdJK6H526MtO2/KCpFtd2q9KmlcjjDUf12LaFaPfY8fXGobHMbz305LWW9ovS/pp6H4OsP8rbe3nh/Wzf8j+d+3fGOz7kvo/yvu+9Zh1B/5vZ2Xf15ffYegCRunR74Nxr68X+tHP/kcH4mtt7ZclbYTuZ0w/5mP6Pi/JuzynGNO36Zh2y8P+vvf7vW/Zvtz2nAO/n2F5HEP/Ux2shuXR74PxGOz7OvZ/DPZ9t9re62XFhNas7Pv68eBi/T6JhlfbbavxQerkmrs/dPdNb5yiWJD0gyO8XjD97r8aw/srZtZ++i7udF5oBTX62mpXenp67QBvOSUV/e423X23tY2ZLUj6SX9L7b9jeO+lxk74dusT2n8/w+KY+r9tZj9t+RnLkv60LwX32SH737F/Y7Lv6/b+jvS+T1JZ0ryZ7USnX7e97TRmVvZ9/UIQ659+H4wP8wEPqa/9j7a96s9eQ7OotoPzkIjrX/N3UUjx/LK7x/VreljDR5u+vvctB6CimV02s+WW62WG0XEE8cSD1RDp98F45Pd96tL/Ud/3Rf1aVeN6umtqXAN34HUzsu/rC4JY//T7YHzU1xu0vocRb7kwO9qhLaixAxs2uzrYx+Zy+w76GdFffhsx6y8P8YG3Xb/f+6d/+bv7TY8ueo4u3B1Gx/HZT3OwGhb9PhiP/L4v6f0d5X1fdKPKQ3d/VdIVSctto4NZ2vf1BUGsf/p9MD706wXS9zDS5qeSftdTTvcwYNs6uDOellKdTiursTN+KhoRytJfg/1+75vPqbSsuy1pWEfFjiOIdz1YDZl+H4xHft/X4/s7Mvu+5mnc5h8eUeB6VdLlaHvW9n19QRDrn74ejI/4eiH0u/9PRSMhV31Ipy6I6mrvY0HpTiVc1sG+z6txWm45unak3LL1unL+AAABt0lEQVQ8jNeJ9Pu934x57jCfmup3EO96sBpCfT0Y9/p6Q6Df/W9tO2r7voLa/vCIAmZzBCxr+76+IIj1Sb8Pxkd8vYE7hjAiqTFMrcZdMw+j5bgLY4fBWlRr06Iapx4kNf7Sa9veGiqe+b01T8c1H2rcZbQbLQ/dX8XH8NnflbTbtuMd2gPxMXz2kw5WQ6XfB+Mx2Pelen9Hcd8Xhc9nTsNG+8HmH1+Z2vf1C0Gsv/p2ME7zekOor/2PTtsUJFXMbDo6MH+j/2Ufnbtf1VcXl6+ocat564610zUem+pyuiX6q/BK9NorQzoiJPX/s/8DPXvX2TckXe1Trcehn0G868FqSPXtYJzm9YZQX/s/4vu+q2Z2rWXU6/ej13hGhvZ9R8bM+n1mX82uXFSU5Fu2LUu64i2zBEcfrnU17pKJCyMdX28Y9av/0fqdmB9x092vHFf9OLxj+uw/5UM6s3hTP/sfHXjLahk5GaX/+2n6N8r7vm79Z983fghiAAAAgXBqEgAAIBCCGAAAQCAEMQAAgEAIYgAAAIEQxAAAAAIhiAEAAARCEAMAAAiEIAYAABAIQQwAACCQ/w84sWvSeW/cWAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(plt_data[:, 0], plt_data[:, 1])\n",
    "plt.scatter(plt_data_pl[:, 0], plt_data_pl[:, 1])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ashudeep/anaconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py:3118: RuntimeWarning: Mean of empty slice.\n",
      "  out=out, **kwargs)\n",
      "/home/ashudeep/anaconda3/lib/python3.6/site-packages/numpy/core/_methods.py:85: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'ndcg': 0.8302883097253424, 'dcg': 2.100585661132893, 'avg_rank': 3.1769230769230767, 'err': 0.09066910566022575, 'avg_group_disparity': 0.8104161834794107, 'avg_group_asym_disparity': 0.020970018299056245}\n",
      "{'ndcg': 0.8334984363677026, 'dcg': 2.10423222054325, 'avg_rank': 3.164102564102564, 'err': 0.09097099960973443, 'avg_group_disparity': 0.8293003730381489, 'avg_group_asym_disparity': 0.015523092301494415}\n",
      "{'ndcg': 0.8327620522464113, 'dcg': 2.1009847164869124, 'avg_rank': 3.1666666666666665, 'err': 0.09066564783091391, 'avg_group_disparity': 0.82831723937527, 'avg_group_asym_disparity': 0.01688122643151461}\n",
      "{'ndcg': 0.83313173660691, 'dcg': 2.1027676282201924, 'avg_rank': 3.1615384615384614, 'err': 0.09080478344441924, 'avg_group_disparity': 0.8123483838129151, 'avg_group_asym_disparity': 0.013098264537883951}\n",
      "{'ndcg': 0.8315563120552557, 'dcg': 2.098095480837523, 'avg_rank': 3.1846153846153844, 'err': 0.09048225398016871, 'avg_group_disparity': 0.7837751991690441, 'avg_group_asym_disparity': 0.01895118771569338}\n",
      "{'ndcg': 0.8292738379260257, 'dcg': 2.093598870970752, 'avg_rank': 3.1794871794871793, 'err': 0.09010219707247978, 'avg_group_disparity': 0.8083337970164688, 'avg_group_asym_disparity': 0.013284453656110872}\n",
      "{'ndcg': 0.8293295537154762, 'dcg': 2.091076083804455, 'avg_rank': 3.2, 'err': 0.08992993320534669, 'avg_group_disparity': 0.8146288999529202, 'avg_group_asym_disparity': 0.013564274210296207}\n",
      "{'ndcg': 0.8229259249613297, 'dcg': 2.0757210454023967, 'avg_rank': 3.253846153846154, 'err': 0.0888142303605453, 'avg_group_disparity': 0.8435335899926598, 'avg_group_asym_disparity': 0.01465958539752437}\n",
      "{'ndcg': 0.8298695387682251, 'dcg': 2.093195464922717, 'avg_rank': 3.18974358974359, 'err': 0.09003675126587041, 'avg_group_disparity': 0.8030684767965595, 'avg_group_asym_disparity': 0.014142116155437381}\n",
      "{'ndcg': 0.8247354713225402, 'dcg': 2.0808083464508704, 'avg_rank': 3.2487179487179487, 'err': 0.08921061212881023, 'avg_group_disparity': 0.8233708018392586, 'avg_group_asym_disparity': 0.016002428757891766}\n",
      "{'ndcg': 0.8394786473071779, 'dcg': 2.1196087296853436, 'avg_rank': 3.1487179487179486, 'err': 0.09222595617304823, 'avg_group_disparity': 0.8356501503113062, 'avg_group_asym_disparity': 0.017079722407478293}\n",
      "{'ndcg': 0.8345430898009386, 'dcg': 2.1065829132764624, 'avg_rank': 3.135897435897436, 'err': 0.09108028474584265, 'avg_group_disparity': 0.8288625195656039, 'avg_group_asym_disparity': 0.015408558047899297}\n",
      "{'ndcg': 0.8257758535564483, 'dcg': 2.0845078293164425, 'avg_rank': 3.2102564102564104, 'err': 0.0893977681290846, 'avg_group_disparity': 0.885463926765797, 'avg_group_asym_disparity': 0.01985406941750952}\n",
      "{'ndcg': 0.8264071823817126, 'dcg': 2.0842289283361555, 'avg_rank': 3.2512820512820513, 'err': 0.08953905521822161, 'avg_group_disparity': 0.8508996676297224, 'avg_group_asym_disparity': 0.016449984611996215}\n",
      "{'ndcg': 0.8280258504582256, 'dcg': 2.088241737964461, 'avg_rank': 3.2256410256410257, 'err': 0.08980146926491786, 'avg_group_disparity': 0.8393571641225072, 'avg_group_asym_disparity': 0.016162222090811185}\n",
      "{'ndcg': 0.8224848836590732, 'dcg': 2.076223297787608, 'avg_rank': 3.2487179487179487, 'err': 0.088856194244354, 'avg_group_disparity': 0.8744088278658145, 'avg_group_asym_disparity': 0.017857752769715667}\n",
      "{'ndcg': 0.8277963744495043, 'dcg': 2.0876658272966755, 'avg_rank': 3.212820512820513, 'err': 0.08966265673945392, 'avg_group_disparity': 0.816033982916003, 'avg_group_asym_disparity': 0.013790769157321222}\n",
      "{'ndcg': 0.8291582754176378, 'dcg': 2.090803218097585, 'avg_rank': 3.241025641025641, 'err': 0.09001064446272461, 'avg_group_disparity': 0.789114686354913, 'avg_group_asym_disparity': 0.014462423282243515}\n",
      "{'ndcg': 0.8238702163394237, 'dcg': 2.078893593209082, 'avg_rank': 3.258974358974359, 'err': 0.08909895448254732, 'avg_group_disparity': 0.8255964818342301, 'avg_group_asym_disparity': 0.014678946499069727}\n",
      "{'ndcg': 0.8205725199274528, 'dcg': 2.0698475194134627, 'avg_rank': 3.2897435897435896, 'err': 0.08841277397043693, 'avg_group_disparity': 0.8860506585391248, 'avg_group_asym_disparity': 0.017968172615691936}\n",
      "{'ndcg': 0.8351294268896603, 'dcg': 2.10828888771271, 'avg_rank': 3.1923076923076925, 'err': 0.09137435074636178, 'avg_group_disparity': 0.82590844327507, 'avg_group_asym_disparity': 0.01530793251161457}\n",
      "{'ndcg': 0.8355147814612367, 'dcg': 2.106570756900354, 'avg_rank': 3.1717948717948716, 'err': 0.09115904097672596, 'avg_group_disparity': 0.8059784050730608, 'avg_group_asym_disparity': 0.01529183864243806}\n",
      "{'ndcg': 0.839351856966199, 'dcg': 2.1175026135430413, 'avg_rank': 3.1102564102564103, 'err': 0.09191584665852685, 'avg_group_disparity': 0.7983198948018786, 'avg_group_asym_disparity': 0.01217590699066431}\n",
      "{'ndcg': 0.8272126497169329, 'dcg': 2.0883782844532437, 'avg_rank': 3.2153846153846155, 'err': 0.08972826714025411, 'avg_group_disparity': 0.8314180069960105, 'avg_group_asym_disparity': 0.012563940570800493}\n",
      "{'ndcg': 0.8286280241832568, 'dcg': 2.0922589477672404, 'avg_rank': 3.2153846153846155, 'err': 0.09009039924676264, 'avg_group_disparity': 0.8307086929523855, 'avg_group_asym_disparity': 0.012435458517810659}\n",
      "{'ndcg': 0.8208747009853036, 'dcg': 2.071203284782515, 'avg_rank': 3.2794871794871794, 'err': 0.08850111433234996, 'avg_group_disparity': 0.8568006390112158, 'avg_group_asym_disparity': 0.01582352034418766}\n",
      "{'ndcg': 0.8245013143391577, 'dcg': 2.080128735323888, 'avg_rank': 3.246153846153846, 'err': 0.08919581157617669, 'avg_group_disparity': 0.8555974621496019, 'avg_group_asym_disparity': 0.015723810599636887}\n",
      "{'ndcg': 0.8192520660693665, 'dcg': 2.068827251162966, 'avg_rank': 3.305128205128205, 'err': 0.08837914483684914, 'avg_group_disparity': 0.867743251137009, 'avg_group_asym_disparity': 0.016081179730588972}\n",
      "{'ndcg': 0.8254620959196246, 'dcg': 2.081785698965404, 'avg_rank': 3.258974358974359, 'err': 0.08932932110921302, 'avg_group_disparity': 0.8489542408988291, 'avg_group_asym_disparity': 0.014918063347382764}\n",
      "{'ndcg': 0.8269749001548402, 'dcg': 2.086629856305426, 'avg_rank': 3.2615384615384615, 'err': 0.08975485274210085, 'avg_group_disparity': 0.8498218415767088, 'avg_group_asym_disparity': 0.014538779168470796}\n",
      "{'ndcg': 0.8334323712671922, 'dcg': 2.1034560827909217, 'avg_rank': 3.151282051282051, 'err': 0.09083890646471021, 'avg_group_disparity': 0.8218312083100056, 'avg_group_asym_disparity': 0.017339793853881725}\n",
      "{'ndcg': 0.8292021948096268, 'dcg': 2.0931080822609562, 'avg_rank': 3.182051282051282, 'err': 0.09003049007826483, 'avg_group_disparity': 0.8677208364171003, 'avg_group_asym_disparity': 0.017634487071972287}\n",
      "{'ndcg': 0.8222359760377512, 'dcg': 2.0771796441542913, 'avg_rank': 3.258974358974359, 'err': 0.08893789081122459, 'avg_group_disparity': 0.8968265808405067, 'avg_group_asym_disparity': 0.020237346621895275}\n",
      "{'ndcg': 0.8230982371613659, 'dcg': 2.0772445964392454, 'avg_rank': 3.223076923076923, 'err': 0.08881164744701459, 'avg_group_disparity': 0.8683858251619696, 'avg_group_asym_disparity': 0.018988019250606735}\n",
      "{'ndcg': 0.8194903511273912, 'dcg': 2.0679442051695935, 'avg_rank': 3.2435897435897436, 'err': 0.08812386553638082, 'avg_group_disparity': 0.9033128395301138, 'avg_group_asym_disparity': 0.0222104344582454}\n",
      "{'ndcg': 0.8181923986828895, 'dcg': 2.06573249422454, 'avg_rank': 3.292307692307692, 'err': 0.08806631237970265, 'avg_group_disparity': 0.892788173435247, 'avg_group_asym_disparity': 0.02034838626094851}\n",
      "{'ndcg': 0.8198027522688865, 'dcg': 2.0697097327983123, 'avg_rank': 3.2974358974358973, 'err': 0.08840410957598525, 'avg_group_disparity': 0.9170534831151967, 'avg_group_asym_disparity': 0.020585581969065722}\n",
      "{'ndcg': 0.8210407433924425, 'dcg': 2.071996179642065, 'avg_rank': 3.2717948717948717, 'err': 0.08851879073121763, 'avg_group_disparity': 0.9023062545033795, 'avg_group_asym_disparity': 0.019238455331498563}\n",
      "{'ndcg': 0.8155974991873446, 'dcg': 2.0578543595685823, 'avg_rank': 3.3205128205128207, 'err': 0.08746251510514964, 'avg_group_disparity': 0.9133918482558095, 'avg_group_asym_disparity': 0.020033170935121202}\n",
      "{'ndcg': 0.8179331993991324, 'dcg': 2.0637271622047972, 'avg_rank': 3.276923076923077, 'err': 0.08783756595363262, 'avg_group_disparity': 0.900448656659159, 'avg_group_asym_disparity': 0.018243914186386444}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'ndcg': 0.8265658320163736, 'dcg': 2.0872712935195445, 'avg_rank': 3.230769230769231, 'err': 0.08968989123379634, 'avg_group_disparity': 0.9110579148830833, 'avg_group_asym_disparity': 0.02342362668365685}\n",
      "{'ndcg': 0.8201719870810174, 'dcg': 2.074506846419984, 'avg_rank': 3.223076923076923, 'err': 0.08857853642791243, 'avg_group_disparity': 0.9654349018477936, 'avg_group_asym_disparity': 0.020580321767167443}\n",
      "{'ndcg': 0.822038288222238, 'dcg': 2.0758472255553024, 'avg_rank': 3.2564102564102564, 'err': 0.08877080417652836, 'avg_group_disparity': 0.9858633713916447, 'avg_group_asym_disparity': 0.023847239888549268}\n",
      "{'ndcg': 0.8260157230046135, 'dcg': 2.0826056453409687, 'avg_rank': 3.3153846153846156, 'err': 0.08955858717767877, 'avg_group_disparity': 0.9930326225008302, 'avg_group_asym_disparity': 0.024437692196445763}\n",
      "{'ndcg': 0.8222555191116113, 'dcg': 2.0726998117236275, 'avg_rank': 3.312820512820513, 'err': 0.08869302515811951, 'avg_group_disparity': 0.9906043451266003, 'avg_group_asym_disparity': 0.022973087532982116}\n",
      "{'ndcg': 0.8149453154791096, 'dcg': 2.0564931508155135, 'avg_rank': 3.382051282051282, 'err': 0.08754468500452292, 'avg_group_disparity': 1.013291095957978, 'avg_group_asym_disparity': 0.024962770344845904}\n",
      "{'ndcg': 0.8096833658678988, 'dcg': 2.0480861583116576, 'avg_rank': 3.4, 'err': 0.08687565181566223, 'avg_group_disparity': 0.9894443680158607, 'avg_group_asym_disparity': 0.02422440329450818}\n",
      "{'ndcg': 0.8145328940852514, 'dcg': 2.058147755044079, 'avg_rank': 3.3923076923076922, 'err': 0.08772662329729203, 'avg_group_disparity': 1.008361447643683, 'avg_group_asym_disparity': 0.026121271445352194}\n",
      "{'ndcg': 0.8217751404216451, 'dcg': 2.0710067465453275, 'avg_rank': 3.3615384615384616, 'err': 0.08869046376137772, 'avg_group_disparity': 0.9995059486748129, 'avg_group_asym_disparity': 0.026160138789301093}\n",
      "{'ndcg': 0.8209384302506824, 'dcg': 2.0719337989983995, 'avg_rank': 3.3230769230769233, 'err': 0.08870691907035543, 'avg_group_disparity': 0.9675091158528669, 'avg_group_asym_disparity': 0.023630495936987846}\n",
      "{'ndcg': 0.8086818550190062, 'dcg': 2.0422805906821733, 'avg_rank': 3.4974358974358974, 'err': 0.08661712878421392, 'avg_group_disparity': 1.0755350665612533, 'avg_group_asym_disparity': 0.03187192680110638}\n",
      "{'ndcg': 0.820203814469462, 'dcg': 2.0741166379210974, 'avg_rank': 3.4153846153846152, 'err': 0.0891048264685974, 'avg_group_disparity': 1.0115062497816678, 'avg_group_asym_disparity': 0.028097385821992598}\n",
      "{'ndcg': 0.8137050232834255, 'dcg': 2.057780563132521, 'avg_rank': 3.428205128205128, 'err': 0.08777567501771928, 'avg_group_disparity': 1.0325935065967828, 'avg_group_asym_disparity': 0.028476216418761933}\n",
      "{'ndcg': 0.8144833021615411, 'dcg': 2.062800545815568, 'avg_rank': 3.423076923076923, 'err': 0.08814758197091788, 'avg_group_disparity': 1.0596035034994176, 'avg_group_asym_disparity': 0.030123913826030427}\n",
      "{'ndcg': 0.8118308156766255, 'dcg': 2.0546818637780175, 'avg_rank': 3.4410256410256412, 'err': 0.0875460671837264, 'avg_group_disparity': 1.0325522399480815, 'avg_group_asym_disparity': 0.028266543694096605}\n",
      "{'ndcg': 0.8189690907278876, 'dcg': 2.0722896286514243, 'avg_rank': 3.364102564102564, 'err': 0.08879133974284022, 'avg_group_disparity': 1.0410777354158962, 'avg_group_asym_disparity': 0.02892436886539127}\n",
      "{'ndcg': 0.8169534337050334, 'dcg': 2.0703824007223806, 'avg_rank': 3.387179487179487, 'err': 0.08869384105270728, 'avg_group_disparity': 1.057121882296952, 'avg_group_asym_disparity': 0.029792857219732283}\n",
      "{'ndcg': 0.813656756771159, 'dcg': 2.063247940017616, 'avg_rank': 3.3923076923076922, 'err': 0.08810409969714517, 'avg_group_disparity': 1.0657735502870944, 'avg_group_asym_disparity': 0.02932305557344003}\n",
      "{'ndcg': 0.8123499998380135, 'dcg': 2.0574684301020714, 'avg_rank': 3.423076923076923, 'err': 0.08772177094844215, 'avg_group_disparity': 1.0539831584687833, 'avg_group_asym_disparity': 0.029463025149729597}\n",
      "{'ndcg': 0.81426721206188, 'dcg': 2.059331565873594, 'avg_rank': 3.387179487179487, 'err': 0.08780065230300117, 'avg_group_disparity': 1.0663012580999929, 'avg_group_asym_disparity': 0.029989900401923394}\n",
      "{'ndcg': 0.8153198124012928, 'dcg': 2.0621490024958042, 'avg_rank': 3.5358974358974358, 'err': 0.08837614203066314, 'avg_group_disparity': 1.070336363738738, 'avg_group_asym_disparity': 0.028724257196107102}\n",
      "{'ndcg': 0.8170477978689786, 'dcg': 2.060731599653426, 'avg_rank': 3.494871794871795, 'err': 0.0881982687605057, 'avg_group_disparity': 1.0594031547600082, 'avg_group_asym_disparity': 0.02821197081555209}\n",
      "{'ndcg': 0.81527226193298, 'dcg': 2.0549163120474354, 'avg_rank': 3.51025641025641, 'err': 0.08773348459581445, 'avg_group_disparity': 1.0476556583222307, 'avg_group_asym_disparity': 0.02790778590434106}\n",
      "{'ndcg': 0.8033815563200913, 'dcg': 2.036025504153515, 'avg_rank': 3.687179487179487, 'err': 0.08656598496270763, 'avg_group_disparity': 1.1814309895327797, 'avg_group_asym_disparity': 0.032835531873460305}\n",
      "{'ndcg': 0.8065561182985213, 'dcg': 2.0422139326004753, 'avg_rank': 3.623076923076923, 'err': 0.08695813729558584, 'avg_group_disparity': 1.11657792607056, 'avg_group_asym_disparity': 0.03280145804289777}\n",
      "{'ndcg': 0.8107944551927211, 'dcg': 2.0526878614716306, 'avg_rank': 3.5794871794871796, 'err': 0.0877417499470702, 'avg_group_disparity': 1.1117423822630503, 'avg_group_asym_disparity': 0.03280145804289777}\n",
      "{'ndcg': 0.8137393144312035, 'dcg': 2.061004445893524, 'avg_rank': 3.482051282051282, 'err': 0.08817156225919635, 'avg_group_disparity': 1.0811417397746395, 'avg_group_asym_disparity': 0.03102459896374884}\n",
      "{'ndcg': 0.8106558311586971, 'dcg': 2.0489274568053997, 'avg_rank': 3.5128205128205128, 'err': 0.08726363745027975, 'avg_group_disparity': 1.095889371394631, 'avg_group_asym_disparity': 0.03197321355073591}\n",
      "{'ndcg': 0.806501477383446, 'dcg': 2.041273819147948, 'avg_rank': 3.566666666666667, 'err': 0.08674402527420205, 'avg_group_disparity': 1.1566551156547207, 'avg_group_asym_disparity': 0.0325324075060783}\n",
      "{'ndcg': 0.8157467222283734, 'dcg': 2.06205530726931, 'avg_rank': 3.443589743589744, 'err': 0.08818790684128182, 'avg_group_disparity': 1.0739867208534786, 'avg_group_asym_disparity': 0.030709956915572368}\n",
      "{'ndcg': 0.7658193605029389, 'dcg': 1.9532854633190708, 'avg_rank': 3.9974358974358974, 'err': 0.08053522622631863, 'avg_group_disparity': 1.195530326588386, 'avg_group_asym_disparity': 0.03092273390677163}\n",
      "{'ndcg': 0.7916621885969919, 'dcg': 2.011889913718805, 'avg_rank': 3.8743589743589744, 'err': 0.08504815310168094, 'avg_group_disparity': 1.2074227731837808, 'avg_group_asym_disparity': 0.03451809192869821}\n",
      "{'ndcg': 0.8183693518384062, 'dcg': 2.0652003818779816, 'avg_rank': 3.582051282051282, 'err': 0.08876455441589601, 'avg_group_disparity': 1.1324032912560642, 'avg_group_asym_disparity': 0.03149684244022105}\n",
      "{'ndcg': 0.801586872525688, 'dcg': 2.030056380448607, 'avg_rank': 3.7282051282051283, 'err': 0.08620950344328339, 'avg_group_disparity': 1.1880927574823015, 'avg_group_asym_disparity': 0.03207082948781702}\n",
      "{'ndcg': 0.7706736060068277, 'dcg': 1.9550608985802738, 'avg_rank': 4.084615384615384, 'err': 0.0808588127902975, 'avg_group_disparity': 1.2865175889665779, 'avg_group_asym_disparity': 0.03508471803869756}\n",
      "{'ndcg': 0.7836862194620094, 'dcg': 1.9848843506359386, 'avg_rank': 3.9256410256410255, 'err': 0.0829159035609281, 'avg_group_disparity': 1.2680500071649847, 'avg_group_asym_disparity': 0.03491149946523659}\n",
      "{'ndcg': 0.7924970973566736, 'dcg': 2.008211980364994, 'avg_rank': 3.81025641025641, 'err': 0.0846005593670665, 'avg_group_disparity': 1.237066744432225, 'avg_group_asym_disparity': 0.033185658486106044}\n",
      "{'ndcg': 0.8032014050458259, 'dcg': 2.0342774330847373, 'avg_rank': 3.6666666666666665, 'err': 0.08641209280116127, 'avg_group_disparity': 1.1852053047768636, 'avg_group_asym_disparity': 0.03254731666575385}\n",
      "{'ndcg': 0.8006665927544302, 'dcg': 2.0327111538503697, 'avg_rank': 3.6769230769230767, 'err': 0.08629938391234637, 'avg_group_disparity': 1.200891424852904, 'avg_group_asym_disparity': 0.03289042447237418}\n",
      "{'ndcg': 0.8012696789876501, 'dcg': 2.0334332636231953, 'avg_rank': 3.5487179487179485, 'err': 0.08602558574912005, 'avg_group_disparity': 1.1202722008495982, 'avg_group_asym_disparity': 0.0303642821035435}\n"
     ]
    }
   ],
   "source": [
    "from zehlike import *\n",
    "\n",
    "args.lr = [0.001]\n",
    "args.lambda_reward = 1.0\n",
    "plt_data_4 = []\n",
    "lambdas = [0.0, 1.0, 10, 100, 1000, 10000, 100000, 1000000]\n",
    "args.weight_decay = [0.0]\n",
    "args.epochs = [10]\n",
    "disparities_mat = np.zeros((len(lambdas), 1))\n",
    "ndcg_mat = np.zeros((len(lambdas), 1))\n",
    "for i, lg in enumerate(lambdas):\n",
    "    args.lambda_group_fairness = lg\n",
    "    model = LinearModel(D=args.input_dim)\n",
    "    model = demographic_parity_train(model, dr, vdr, vvector(200), args)\n",
    "    results = evaluate_model(\n",
    "            model,\n",
    "            vdr,\n",
    "            fairness_evaluation=False,\n",
    "            group_fairness_evaluation=True,\n",
    "            deterministic=True,\n",
    "            args=args,\n",
    "            num_sample_per_query=100)\n",
    "    plt_data_4.append([results[\"ndcg\"], results[\"avg_group_asym_disparity\"]])\n",
    "    ndcg_mat[i, 0], disparities_mat[i,0] = results[\"ndcg\"], results[\"avg_group_asym_disparity\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt_data_4 = np.array(plt_data_4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.8216944 , 0.01616216],\n",
       "       [0.82440639, 0.01689381],\n",
       "       [0.82681321, 0.01735145],\n",
       "       [0.82291545, 0.01900556],\n",
       "       [0.81557957, 0.02753218],\n",
       "       [0.81735412, 0.02927786],\n",
       "       [0.80865849, 0.03218764],\n",
       "       [0.79745179, 0.03219975]])"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt_data_4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f137b4b9b38>"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/pdf": 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\n",
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(plt_data_4[:, 0], plt_data_4[:, 1])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [],
   "source": [
    "def ndcg_vs_disparity_plot(plt_data_mats, names, join=False, ranges=None):\n",
    "    plt.figure(figsize=(6.5, 4))\n",
    "    if ranges:\n",
    "        plt.xlim(ranges[0])\n",
    "        plt.ylim(ranges[1])\n",
    "    initialize_params()\n",
    "    for i, plt_data_mat in enumerate(plt_data_mats):\n",
    "        if not join:\n",
    "            plt.scatter(\n",
    "                plt_data_mats[i][:, 0],\n",
    "                plt_data_mats[i][:, 1],\n",
    "                marker=\"*\",\n",
    "                label=names[i])\n",
    "        else:\n",
    "            plt.plot(\n",
    "                plt_data_mats[i][:, 0],\n",
    "                plt_data_mats[i][:, 1],\n",
    "                marker=\"*\",\n",
    "                linestyle='--',\n",
    "                label=names[i])\n",
    "    plt.legend(fontsize=14)\n",
    "#     plt.title(\"Utility-Fairness trade-off\",y=-0.30)\n",
    "    plt.xlabel(\"NDCG\")\n",
    "    plt.ylabel(r'$\\hat{\\mathcal{D}}_{\\rm group}$', fontsize=16)\n",
    "    plt.grid()\n",
    "    plt.savefig('./plots/german_tradeoff.pdf', bbox_inches='tight')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/pdf": 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\n",
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 468x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ndcg_vs_disparity_plot([plt_data, plt_data_pl,  plt_data_4], [\"Post-Processing ($\\lambda \\in [0, 0.2]$)\",\n",
    "                      \"Our Method ($\\lambda \\in [0,100]$ )\", \n",
    "                      \"Zehlike \\& Castillo 2018 ($\\lambda \\in [0, 10^6]$)\"], join=True, ranges=[[0.60, 0.85], [0.00, 0.054]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/pdf": 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\n",
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 450x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ndcg_vs_disparity_plot([plt_data, plt_data_pl], [\"Post-Processing ($\\lambda \\in [0, 0.2]$)\",\n",
    "                      \"Our Method ($\\lambda \\in [0,100]$ )\"], join=True, ranges=[[0.60, 0.85], [0.00, 0.054]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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   "hotkeys": {
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  "toc": {
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