Test symmetries with sklearn decision tree models
Setup
Begin from an environment with a recent version of python 3.
source setup.sh
Leave the environment with deactivate
. Clean up fully by removing env/
.
Run examples
make
Begin from an environment with a recent version of python 3.
source setup.sh
Leave the environment with deactivate
. Clean up fully by removing env/
.
make
Highly interpretable, sklearn-compatible classifier based on decision rules This is a scikit-learn compatible wrapper for the Bayesian Rule List class
Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree
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🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
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