Description:

koho 1.1.0

koho (TM)
koho (Hawaiian word for ‘to estimate’) is a Decision Forest C++ library
with a scikit-learn compatible Python interface.

Classification
Numerical (dense) data
Missing values (Not Missing At Random (NMAR))
Class balancing
Multi-Class
Multi-Output (single model)
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
Change Log:
1.1.0 Multi-Output (single model)
1.0.0 Missing Values (NMAR) : Python, Cython(bindings), C++
0.0.2 Criterion implemented in Cython
0.0.1 Classification : Python only
Copyright 2019, AI Werkstatt (TM). All rights reserved.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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