Metadata-Version: 2.1
Name: koho
Version: 0.0.2
Summary: Decision Forest C++ library with a scikit-learn compatible Python interface
Home-page: https://koho.readthedocs.io/en/latest/
Author: AI Werkstatt(TM) www.aiwerkstatt.com
Author-email: drh@aiwerkstatt.com
Maintainer: AI Werkstatt(TM) www.aiwerkstatt.com
Maintainer-email: drh@aiwerkstatt.com
License: New BSD License
Download-URL: https://github.com/aiwerkstatt/koho
Description: .. -*- mode: rst -*-
        
        |Travis|_ |AppVeyor|_ |Codecov|_ |CircleCI|_ |ReadTheDocs|_
        
        .. |Travis| image:: https://travis-ci.org/AIWerkstatt/koho.svg?branch=master
        .. _Travis: https://travis-ci.org/AIWerkstatt/koho
        
        .. |AppVeyor| image:: https://ci.appveyor.com/api/projects/status/7mpfa6oulfasp99w/branch/master?svg=true
        .. _AppVeyor: https://ci.appveyor.com/project/AIWerkstatt/koho
        
        .. |Codecov| image:: https://codecov.io/gh/AIWerkstatt/koho/branch/master/graph/badge.svg
        .. _Codecov: https://codecov.io/gh/AIWerkstatt/koho
        
        .. |CircleCI| image:: https://circleci.com/gh/AIWerkstatt/koho.svg?style=shield&circle-token=:circle-token
        .. _CircleCI: https://circleci.com/gh/AIWerkstatt/koho
        
        .. |ReadTheDocs| image:: https://readthedocs.org/projects/koho/badge/?version=latest
        .. _ReadTheDocs: https://koho.readthedocs.io/en/latest/
        
        koho (TM)
        =========
        
        **koho** (Hawaiian word for 'to estimate') is a **Decision Forest** **C++ library**
        with a `scikit-learn`_ compatible **Python interface**.
        
        **Python implementation with Criterion implemented in Cython!**
        
        - Classification
        - Numerical (dense) data
        - Class balancing
        - Multi-Class
        - Single-Output
        - Build order: depth first
        - Impurity criteria: gini
        - n Decision Trees with soft voting
        - Split a. features: best over k (incl. all) random features
        - Split b. thresholds: 1 random or all thresholds
        - Stop criteria: max depth, (pure, no improvement)
        - Bagging (Bootstrap AGGregatING) with out-of-bag estimates
        - Important Features
        - Export Graph
        
        `ReadTheDocs`_
        
        `New BSD License <LICENSE>`_
        
        Copyright 2019, `AI Werkstatt (TM)`_. All rights reserved.
        
        .. _`scikit-learn`: http://scikit-learn.org
        .. _`AI Werkstatt (TM)`: http://www.aiwerkstatt.com
        
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: BSD License
Classifier: Development Status :: 1 - Planning
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Cython
Classifier: Programming Language :: C
Classifier: Operating System :: Unix
Provides-Extra: tests
Provides-Extra: docs
