{ "info": { "author": "Shay Palachy", "author_email": "shay.palachy@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Software Development :: Libraries", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "skutil\n######\n|PyPI-Status| |PyPI-Versions| |Build-Status| |Codecov| |LICENCE|\n\nUtilities for scikit-learn.\n\n.. code-block:: python\n\n from skutil.estimators import ColumnIgnoringClassifier\n # use a classifier that can't handle string data as \n # an inner classifier in some stacked model, for example\n\n.. contents::\n\n.. section-numbering::\n\n\nInstallation\n============\n\n.. code-block:: bash\n\n pip install skutil\n\n\nBasic Use\n=========\n\n``skutil`` is divided into several sub-modules by functionality:\n\nestimators\n----------\n\n``ColumnIgnoringClassifier`` - An sklearn classifier wrapper that ignores input columns by index. \n\n``ObjColIgnoringClassifier`` - An sklearn classifier wrapper that ignores object columns in dataframes.\n\n``classifier_cls_by_name`` - Get an sklearn classifier class by name. Also supports lowercasing and some shorthands (e.g. svm for SVC, logreg and lr for LogisticRegression).\n\nmodel_selection\n---------------\n\n``ConstrainedParameterGrid`` - Grid of discrete-valued parameters with constraints.\n\n\nContributing\n============\n\nPackage author and current maintainer is Shay Palachy (shay.palachy@gmail.com); You are more than welcome to approach him for help. Contributions are very welcomed.\n\nInstalling for development\n----------------------------\n\nClone:\n\n.. code-block:: bash\n\n git clone git@github.com:shaypal5/skutil.git\n\n\nInstall in development mode, and with test dependencies:\n\n.. code-block:: bash\n\n cd skutil\n pip install -e \".[test]\"\n\n\nRunning the tests\n-----------------\n\nTo run the tests use:\n\n.. code-block:: bash\n\n cd skutil\n pytest\n\n\nAdding documentation\n--------------------\n\nThe project is documented using the `numpy docstring conventions`_, which were chosen as they are perhaps the most widely-spread conventions that are both supported by common tools such as Sphinx and result in human-readable docstrings. 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