tinyml

Implementation of classic machine learning algorithms with sklearn-style API.

Models

• Linear Model
  • LogisticRegressor
  • LinearRegressor
  • LassoRegressor
  • RidgeRegressor
  • ElasticNetRegressor
• Naive Bayes
  • NaiveBayesClassifier
  • NaiveBayesRgressor
• Neighbors
  • KNNClassifier
  • KNNRegressor
  • KDTreeClassifier
  • KDTreeRegressor
• Tree Model
  • DecisionTreeClassifier
  • DecisionTreeRegressor
• Gaussian Process
  • GaussianProcessRegressor
• Ensemble
  • Bagging
    • RandomForestClassifier
    • RandomForestRegressor
    • ExtraTreesClassifier
    • ExtraTreesRegressor
  • Boosting
    • AdaBoostClassifier
    • AdaBoostRegressor
    • GradientBoostingClassifier
    • GradientBoostingRegressor
    • XGBoostClassifier
    • XGBoostRegressor
• Neural Network
  • MLPClassifier
  • MLPRegressor
• Cluster
  • KMeans
  • KMedoids
  • MiniBatchKMeans

TODO

• XGBoost classifier logistic loss function
• GaussianProcessClassifier
• LBFGS solver for MLP model