{ "info": { "author": "Nikhil Haas", "author_email": "nikhil@nikhilhaas.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: ISC License (ISCL)", "Natural Language :: English", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4" ], "description": "===============================\nRegressors\n===============================\n\n.. image:: https://img.shields.io/pypi/v/regressors.svg\n :target: https://pypi.python.org/pypi/regressors\n\n.. image:: https://img.shields.io/travis/nsh87/regressors.svg\n :target: https://travis-ci.org/nsh87/regressors\n\n.. image:: https://readthedocs.org/projects/regressors/badge/?version=latest\n :target: https://readthedocs.org/projects/regressors/?badge=latest\n :alt: Documentation Status\n\n\nEasy utilities for fitting various regressors, extracting stats, and making relevant plots\n\n* Free software: ISC license\n* Documentation: https://regressors.readthedocs.org.\n\nFeatures\n--------\n\n* TODO\n\nCredits\n---------\n\nTools used in rendering this package:\n\n* Cookiecutter_\n* `cookiecutter-pypackage`_\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n\n\nHistory\n-------\n\n0.0.1 (2015-11-24)\n------------------\n\n* First release on PyPI.\n\n0.0.2 (2015-12-08)\n------------------\n\n* Remove old LinearRegression class.\n* Add residuals, qq, scree, and principal components pairwise plots.\n* Add stats function for calculating SSE, adjusted R2, coefficients standard\n error, t-values, p-values, F-statistic, and residuals.\n* Add a summary function for summarizing stats on linear models.\n* Add a PCR class for performing principal components 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