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tpot - A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming


Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data.

scoruby - Ruby Scoring API for PMML


Ruby scoring API for Predictive Model Markup Language (PMML).Currently supports Decision Tree, Random Forest Naive Bayes and Gradient Boosted Models.

random-forest-classifier - A random forest classifier in Javascript.


A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and use averaging to improve the predictive accuracy and control over-fitting.Modeled after scikit-learn's RandomForestClassifier.