Metadata-Version: 1.2
Name: sktools
Version: 0.1.1
Summary: Tools to extend sklearn
Home-page: https://github.com/david26694/sktools
Author: David Masip Bonet
Author-email: david26694@gmail.com
License: MIT license
Description: =======
        sktools
        =======
        
        
        .. image:: https://img.shields.io/pypi/v/sktools.svg
                :target: https://pypi.python.org/pypi/sktools
        
        .. image:: https://img.shields.io/travis/david26694/sktools.svg
                :target: https://travis-ci.com/david26694/sktools
        
        .. image:: https://readthedocs.org/projects/sktools/badge/?version=latest
                :target: https://sktools.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        
        
        
        Tools to extend sklearn
        
        * Free software: MIT license
        * Documentation: https://sktools.readthedocs.io
        
        
        Usage
        -----
        
        .. code-block:: python
        
          from sktools import IsEmptyExtractor
        
          from sklearn.linear_model import LogisticRegression
          from sklearn.pipeline import Pipeline
        
          ...
        
          mod = Pipeline([
              ("impute-features", IsEmptyExtractor),
              ("model", LogisticRegression())
          ])
        
          ...
        
        
        
        
        
        
        Features
        --------
        
        Here's a list of features that sktools currently offers:
        
        * ``sktools.encoders.NestedTargetEncoder`` performs target encoding suited for variables with nesting.
        * ``sktools.encoders.PercentileEncoder`` performs target aggregation using a quantile instead of the mean.
        * ``sktools.impute.IsEmptyExtractor`` creates binary variables indicating if there are missing values.
        * ``sktools.matrix_denser.MatrixDenser`` transformer that converts sparse matrices to dense.
        * ``sktools.quantilegroups.GroupedQuantileTransformer`` creates quantiles of a feature by group.
        * ``sktools.quantilegroups.PercentileGroupFeaturizer`` creates features regarding how an instance compares with a quantile of its group.
        * ``sktools.quantilegroups.MeanGroupFeaturizer`` creates features regarding how an instance compares with the mean of its group.
        * ``sktools.selectors.TypeSelector`` gets variables matching a type.
        * ``sktools.selectors.ItemsSelector`` allows to manually choose some variables.
        
        
        
        Credits
        -------
        
        This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
        
        =======
        History
        =======
        
        0.1.0 (2020-04-19)
        ------------------
        
        * First release on PyPI.
        
Keywords: sktools
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
