koho 0.0.1

.. include:: <isonum.txt>
.. -*- mode: rst -*-

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.. _ReadTheDocs: https://koho.readthedocs.io/en/latest/

koho\ |trade|
=============

**koho** (Hawaiian word for 'to estimate') is a **Decision Forest** **C++ library**
with a `scikit-learn`_ compatible **Python interface**.

**Python only implementation!**

- 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>`_

\ |copy| Copyright 2019, `AI Werkstatt`_\ |trade|. All rights reserved.

.. _`scikit-learn`: http://scikit-learn.org
.. _`AI Werkstatt`: http://www.aiwerkstatt.com