Constructing decision trees with genetic algorithm with a scikit-learn inspired API
BSD-3-CLAUSE License
Train keras models with genetic algorithms.
Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
Oblique Tree classifier based on SVM nodes
Scikit-learn compatible decision trees beyond those offered in scikit-learn
Machine Learning Tutor Python library
decision tree implemented in numpy
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...
ML hyperparameters tuning and features selection, using evolutionary algorithms.
A python library for decision tree visualization and model interpretation.
机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Genetic Programming in Python, with a scikit-learn inspired API
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
Python package for the GenSVM classifier
EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...