SVMKit is a machine learninig library in Ruby. SVMKit provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. SVMKit supports Linear / Kernel Support Vector Machine, Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine, Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm, K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization. Note that the SVMKit has been deprecated and has been renamed to Rumale.

HybridForest provides random forests built upon combinations of different decision tree algorithms to enable diverse tree ensembles. Until version 1.0.0, please expect breaking changes.

HybridForest provides random forests built upon combinations of different decision tree algorithms to enable diverse tree ensembles. Until version 1.0.0, please expect breaking changes.

Red Optuna is a hyperparameter optimization framework. You can optimize hyperparameter automatically.

This is a Ruby interface to STARCRAFT® II. Write your own AI using an easy interface and compete against others.