org.apache.spark.ml.regression

Class RegressionModel<FeaturesType,M extends RegressionModel<FeaturesType,M>>

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

org.apache.spark.ml.Model<M>

org.apache.spark.ml.impl.estimator.PredictionModel<FeaturesType,M>

org.apache.spark.ml.regression.RegressionModel<FeaturesType,M>

All Implemented Interfaces:

java.io.Serializable, Logging, Identifiable, PredictorParams, HasFeaturesCol, HasLabelCol, HasPredictionCol, Params, RegressorParams

Direct Known Subclasses:

LinearRegressionModel

public abstract class RegressionModel<FeaturesType,M extends RegressionModel<FeaturesType,M>>
extends PredictionModel<FeaturesType,M>
implements RegressorParams

:: AlphaComponent ::

Model produced by a Regressor.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RegressionModel()

Method Summary

Methods inherited from class org.apache.spark.ml.impl.estimator.PredictionModel

setFeaturesCol, setPredictionCol, transform, transformSchema

Methods inherited from class org.apache.spark.ml.Model

fittingParamMap, parent

Methods inherited from class org.apache.spark.ml.Transformer

transform, transform

Methods inherited from class Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.spark.ml.impl.estimator.PredictorParams

validateAndTransformSchema

Methods inherited from interface org.apache.spark.ml.param.HasLabelCol

getLabelCol, labelCol

Methods inherited from interface org.apache.spark.ml.param.HasFeaturesCol

featuresCol, getFeaturesCol

Methods inherited from interface org.apache.spark.ml.param.HasPredictionCol

getPredictionCol, predictionCol

Methods inherited from interface org.apache.spark.ml.param.Params

addOutputColumn, checkInputColumn, explainParams, get, getParam, isSet, paramMap, params, set, set, validate, validate

Methods inherited from interface org.apache.spark.ml.Identifiable

uid

Methods inherited from interface org.apache.spark.Logging

initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning

Constructor Detail

RegressionModel

public RegressionModel()