Isotonic regression calibrator.
Class that takes in a spark DecisionTreeRegressionModel and wraps it into an OP model which returns a Prediction feature
Wrapper for spark Decision Tree Regressor org.apache.spark.ml.regression.DecisionTreeRegressor
Class that takes in a spark GBTRegressionModel and wraps it into an OP model which returns a Prediction feature
Wrapper for spark GBT Regressor org.apache.spark.ml.regression.GBTRegressor
Wrapper for spark Generalized Regression org.apache.spark.ml.regression.GeneralizedLinearRegression
Class that takes in a spark GeneralizedLinearRegressionModel and wraps it into an OP model which returns a Prediction feature
Wrapper around spark ml linear regression org.apache.spark.ml.regression.LinearRegression
Class that takes in a spark LinearRegressionModel and wraps it into an OP model which returns a Prediction feature
Class that takes in a spark RandomForestRegressionModel and wraps it into an OP model which returns a Prediction feature
Wrapper around sparj Random Forest Regressor org.apache.spark.ml.regression.RandomForestRegressor
Class that takes in a spark XGBoostRegressionModel and wraps it into an OP model which returns a Prediction feature
Wrapper around XGBoost regressor XGBoostRegressor
Enumeration of possible regression models in Model Selector
A factory for Regression Model Selector
Isotonic regression calibrator.
Uses org.apache.spark.ml.regression.IsotonicRegression, which supports only univariate (single feature) models.