SAM 3.1.0 : Lasso model, Validators, ClipTransformer and some utils

.gitignore

@@ -64,7 +64,6 @@ wheels/
 MANIFEST
 .idea
 
-
 # PyInstaller
 #  Usually these files are written by a python script from a template
 #  before PyInstaller builds the exe, so as to inject date/other infos into it.
@@ -145,4 +144,4 @@ venv.bak/
 
 # Exceptions
 !docs/requirements.txt
-!data/rainbow_beach.parquet
+!sam/datasets/data/*.csv

CHANGELOG.md

@@ -9,6 +9,20 @@ Version X.Y.Z stands for:
 
 -------------
 
+## Version 3.1.0
+
+### New features
+
+- New class `sam.models.LassoTimeseriesRegressor` to create a Lasso regression model for time series data incl. quantile predictions.
+- New class `sam.preprocessing.ClipTransformer` to clip input values to the range from the train set, making models more robust again
+- New abstract base class `sam.validation.BaseValidator` for all validators.
+- Renamed `sam.validation.RemoveFlatlines` to `sam.validation.FlatlineValidator`. `sam.validation.RemoveFlatlines` is still available, but removed in future versions.
+- Renamed `sam.validation.RemoveExtremeValues` to `sam.validation.MADValidator`. `sam.validation.RemoveExtremeValues` is still available, but removed in future versions.
+- New class `sam.validation.OutsideRangeValidator` for checking / removing data outside of a range. 
+- New function `datetime_train_test_split` to split pandas dataframes and series based on a datetime.
+- New `sam.datasets` module containing functions for loading read-to-use datasets: `sam.datasets.load_rainbow_beach` and `sam.datasets.load_sewage_data`.
+st outliers.
+
 ## Version 3.0.4
 
 ### Changes
@@ -19,6 +33,7 @@ Version X.Y.Z stands for:
 - Updated package dependencies for scikit-learn
 - Changed the DeepExplainer to the model agnostic KernelExplainer, so we can remove all the v1 dependencies on tensorflow
 - Fixed pytest MPL bug by temporarily setting it to a previous version 
+
 ## Version 3.0.3
 
 ### New features

README.md

@@ -32,11 +32,11 @@ Keep in mind that the sam package is updated frequently, and after a while, your
 Below you can find a simple example on how to use one of our timeseries models. For more examples, check our [example notebooks](https://github.com/RoyalHaskoningDHV/sam/tree/main/examples)
 
 ```python
-import pandas as pd
+from sam.datasets import load_rainbow_beach
 from sam.models import MLPTimeseriesRegressor
 from sam.feature_engineering import SimpleFeatureEngineer
 
-data = pd.read_parquet("../data/rainbow_beach.parquet") # Requires `pyarrow` package
+data = load_rainbow_beach()
 X, y = data, data["water_temperature"]
 
 # Easily create rolling and time features to be used by the model

docs/source/datasets.rst

@@ -0,0 +1,18 @@
+.. _datasets:
+
+=============
+Data Sets
+=============
+
+This is the documentation for available datasets.
+
+Rainbow Beach
+-------------
+.. autofunction:: sam.datasets.load_rainbow_beach
+
+
+Sewage data
+-----------
+.. autofunction:: sam.datasets.load_sewage_data
+
+

docs/source/index.rst

@@ -16,6 +16,7 @@ Welcome to SAM's documentation!
    data
    examples
    data_sources
+   datasets
    preprocessing
    exploration
    feature_engineering

docs/source/preprocessing.rst

@@ -6,6 +6,13 @@ Preprocessing
 
 This is the documentation for preprocessing functions.
 
+Clipping data
+-------------
+.. autoclass:: sam.preprocessing.ClipTransformer
+    :members:
+    :undoc-members:
+    :show-inheritance:
+
 Normalize timestamps
 --------------------
 .. warning::

docs/source/validation.rst

@@ -6,9 +6,23 @@ Data Validation
 
 This is the documentation for the validation functions.
 
+Base Validation class
+---------------------
+.. autoclass:: sam.validation.BaseValidator
+    :members:
+    :undoc-members:
+    :show-inheritance:
+
+Detect Outside Range
+--------------------
+.. autoclass:: sam.validation.OutsideRangeValidator
+    :members:
+    :undoc-members:
+    :show-inheritance:
+
 Detect Extreme Values
 ---------------------------
-.. autoclass:: sam.validation.RemoveExtremeValues
+.. autoclass:: sam.validation.MADValidator
     :members:
     :undoc-members:
     :show-inheritance:
@@ -23,7 +37,7 @@ Testset image:
 
 Detect Flatlines
 ---------------------------
-.. autoclass:: sam.validation.RemoveFlatlines
+.. autoclass:: sam.validation.FlatlineValidator
     :members:
     :undoc-members:
     :show-inheritance:

examples/feature_engineering.ipynb

@@ -130,10 +130,9 @@
    ],
    "source": [
     "import pandas as pd\n",
+    "from sam.datasets import load_rainbow_beach\n",
     "\n",
-    "data = pd.read_parquet('../data/rainbow_beach.parquet')\n",
-    "\n",
-    "data.head()"
+    "data = load_rainbow_beach()"
    ]
   },
   {