A Fuzzy Decision Tree implementation for Python.
BSD-3-CLAUSE License
A python library to build Model Trees with Linear Models at the leaves.
A scikit-learn based module for multi-label et. al. classification
Tiny implementation of important algorithms in scikit-learn. Useful when understanding ML algorit...
Machine Learning with a Reject Option
A python library for decision tree visualization and model interpretation.
A repository for recording the machine learning code
机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...
Oblique Tree classifier based on SVM nodes
Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
Fuzzy machine learning algorithms implementing the scikit-learn interface.
A python library used for tree structure interpretation.
Implementations of the machine learning algorithm with Python and numpy
Scikit-learn compatible decision trees beyond those offered in scikit-learn
Constructing decision trees with genetic algorithm with a scikit-learn inspired API