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Exploring streaming options for decision trees and random forests. Based on scikit-learn fork.

Project description

Streaming Decision Trees & Forests

arXiv DOI PyPI version Python Code style: black License Downloads

Exploring streaming options for decision trees and random forests.

The package includes two ensemble implementations (Stream Decision Forest and Cascade Stream Forest).

Based on scikit-learn fork.

Install

You can manually download the latest version of SDTF by cloning the repository:

git clone https://github.com/neurodata/SDTF
cd SDTF
python setup.py install

Or install the stable version through pip:

pip install sdtf

Package Requirements

The SDTF package requires a scikit-learn fork for the partial_fit functionality, which you can install manually:

git clone https://github.com/neurodata/scikit-learn -b stream --single-branch
cd scikit-learn
python setup.py install

The above local setup requires the following packages:

  • cython
  • numpy
  • scipy

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