Package org.apache.spark.ml.regression
Class Regressor<FeaturesType,Learner extends Regressor<FeaturesType,Learner,M>,M extends RegressionModel<FeaturesType,M>>
Object
org.apache.spark.ml.PipelineStage
org.apache.spark.ml.Estimator<M>
org.apache.spark.ml.Predictor<FeaturesType,Learner,M>
org.apache.spark.ml.regression.Regressor<FeaturesType,Learner,M>
- Type Parameters:
FeaturesType- Type of input features. E.g.,VectorLearner- Concrete Estimator typeM- Concrete Model type
- All Implemented Interfaces:
Serializable,org.apache.spark.internal.Logging,Params,HasFeaturesCol,HasLabelCol,HasPredictionCol,PredictorParams,Identifiable
- Direct Known Subclasses:
AFTSurvivalRegression,DecisionTreeRegressor,FMRegressor,GBTRegressor,GeneralizedLinearRegression,LinearRegression,RandomForestRegressor
public abstract class Regressor<FeaturesType,Learner extends Regressor<FeaturesType,Learner,M>,M extends RegressionModel<FeaturesType,M>>
extends Predictor<FeaturesType,Learner,M>
implements PredictorParams
Single-label regression
- See Also:
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Nested Class Summary
Nested classes/interfaces inherited from interface org.apache.spark.internal.Logging
org.apache.spark.internal.Logging.LogStringContext, org.apache.spark.internal.Logging.SparkShellLoggingFilter -
Constructor Summary
Constructors -
Method Summary
Methods inherited from class org.apache.spark.ml.Predictor
copy, featuresCol, fit, labelCol, predictionCol, setFeaturesCol, setLabelCol, setPredictionCol, transformSchemaMethods inherited from class org.apache.spark.ml.PipelineStage
paramsMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitMethods inherited from interface org.apache.spark.ml.param.shared.HasFeaturesCol
featuresCol, getFeaturesColMethods inherited from interface org.apache.spark.ml.param.shared.HasLabelCol
getLabelCol, labelColMethods inherited from interface org.apache.spark.ml.param.shared.HasPredictionCol
getPredictionCol, predictionColMethods inherited from interface org.apache.spark.ml.util.Identifiable
toString, uidMethods inherited from interface org.apache.spark.internal.Logging
initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, isTraceEnabled, log, logDebug, logDebug, logDebug, logDebug, logError, logError, logError, logError, logInfo, logInfo, logInfo, logInfo, logName, LogStringContext, logTrace, logTrace, logTrace, logTrace, logWarning, logWarning, logWarning, logWarning, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq, withLogContextMethods inherited from interface org.apache.spark.ml.param.Params
clear, copy, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwnMethods inherited from interface org.apache.spark.ml.PredictorParams
validateAndTransformSchema
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Constructor Details
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Regressor
public Regressor()
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