Package

com.salesforce.op.stages.impl

regression

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package regression

Visibility
  1. Public
  2. All

Type Members

  1. class IsotonicRegressionCalibrator extends OpBinaryEstimatorWrapper[RealNN, RealNN, RealNN, IsotonicRegression, IsotonicRegressionModel]

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    Isotonic regression calibrator.

    Isotonic regression calibrator.

    Uses org.apache.spark.ml.regression.IsotonicRegression, which supports only univariate (single feature) models.

  2. class OpDecisionTreeRegressionModel extends OpPredictionModel[DecisionTreeRegressionModel]

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    Class that takes in a spark DecisionTreeRegressionModel and wraps it into an OP model which returns a Prediction feature

  3. class OpDecisionTreeRegressor extends OpPredictorWrapper[DecisionTreeRegressor, DecisionTreeRegressionModel] with OpDecisionTreeRegressorParams

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    Wrapper for spark Decision Tree Regressor org.apache.spark.ml.regression.DecisionTreeRegressor

  4. class OpGBTRegressionModel extends OpPredictionModel[GBTRegressionModel]

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    Class that takes in a spark GBTRegressionModel and wraps it into an OP model which returns a Prediction feature

  5. class OpGBTRegressor extends OpPredictorWrapper[GBTRegressor, GBTRegressionModel] with OpGBTRegressorParams

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    Wrapper for spark GBT Regressor org.apache.spark.ml.regression.GBTRegressor

  6. class OpGeneralizedLinearRegression extends OpPredictorWrapper[GeneralizedLinearRegression, GeneralizedLinearRegressionModel] with OpGeneralizedLinearRegressionParams

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    Wrapper for spark Generalized Regression org.apache.spark.ml.regression.GeneralizedLinearRegression

  7. class OpGeneralizedLinearRegressionModel extends OpPredictorWrapperModel[GeneralizedLinearRegressionModel]

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    Class that takes in a spark GeneralizedLinearRegressionModel and wraps it into an OP model which returns a Prediction feature

  8. class OpLinearRegression extends OpPredictorWrapper[LinearRegression, LinearRegressionModel] with OpLinearRegressionParams

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    Wrapper around spark ml linear regression org.apache.spark.ml.regression.LinearRegression

  9. class OpLinearRegressionModel extends OpPredictionModel[LinearRegressionModel]

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    Class that takes in a spark LinearRegressionModel and wraps it into an OP model which returns a Prediction feature

  10. class OpRandomForestRegressionModel extends OpPredictionModel[RandomForestRegressionModel]

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    Class that takes in a spark RandomForestRegressionModel and wraps it into an OP model which returns a Prediction feature

  11. class OpRandomForestRegressor extends OpPredictorWrapper[RandomForestRegressor, RandomForestRegressionModel] with OpRandomForestRegressorParams

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    Wrapper around sparj Random Forest Regressor org.apache.spark.ml.regression.RandomForestRegressor

  12. class OpXGBoostRegressionModel extends OpPredictionModel[XGBoostRegressionModel]

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    Class that takes in a spark XGBoostRegressionModel and wraps it into an OP model which returns a Prediction feature

  13. class OpXGBoostRegressor extends OpPredictorWrapper[XGBoostRegressor, XGBoostRegressionModel] with OpXGBoostRegressorParams

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    Wrapper around XGBoost regressor XGBoostRegressor

  14. sealed trait RegressionModelsToTry extends EnumEntry with ModelsToTry

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    Enumeration of possible regression models in Model Selector

Value Members

  1. object RegressionModelSelector extends ModelSelectorFactory with Product with Serializable

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    A factory for Regression Model Selector

  2. object RegressionModelsToTry extends Enum[RegressionModelsToTry] with Serializable

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