{ "info": { "author": "AI Werkstatt(TM) www.aiwerkstatt.com", "author_email": "drh@aiwerkstatt.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Natural Language :: English", "Operating System :: POSIX :: Linux", "Operating System :: Unix", "Programming Language :: C", "Programming Language :: C++", "Programming Language :: Cython", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering :: Artificial Intelligence" ], "description": ".. -*- mode: rst -*-\n\n|Travis|_ |Codecov|_ |ReadTheDocs|_\n\n.. |Travis| image:: https://travis-ci.org/AIWerkstatt/koho.svg?branch=master\n.. _Travis: https://travis-ci.org/AIWerkstatt/koho\n\n.. |Codecov| image:: https://codecov.io/gh/AIWerkstatt/koho/branch/master/graph/badge.svg\n.. _Codecov: https://codecov.io/gh/AIWerkstatt/koho\n\n.. |ReadTheDocs| image:: https://readthedocs.org/projects/koho/badge/?version=latest\n.. _ReadTheDocs: https://koho.readthedocs.io/en/latest/\n\nkoho (TM)\n=========\n\n**koho** (Hawaiian word for 'to estimate') is a **Decision Forest** **C++ library**\nwith a `scikit-learn`_ compatible **Python interface**.\n\n- Classification\n- Numerical (dense) data\n- Missing values (Not Missing At Random (NMAR))\n- Class balancing\n- Multi-Class\n- Multi-Output (single model)\n- Build order: depth first\n- Impurity criteria: gini\n- n Decision Trees with soft voting\n- Split a. features: best over k (incl. all) random features\n- Split b. thresholds: 1 random or all thresholds\n- Stop criteria: max depth, (pure, no improvement)\n- Bagging (Bootstrap AGGregatING) with out-of-bag estimates\n- Important Features\n- Export Graph\n\n`ReadTheDocs`_\n\n`New BSD License `_\n\n**Change Log:**\n1.1.0 Multi-Output (single model)\n1.0.0 Missing Values (NMAR) : Python, Cython(bindings), C++\n0.0.2 Criterion implemented in Cython\n0.0.1 Classification : Python only\n\nCopyright 2019, `AI Werkstatt (TM)`_. 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