org.apache.spark.ml.regression

Class LinearRegressionModel

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<Vector,LinearRegressionModel>

org.apache.spark.ml.regression.LinearRegressionModel

All Implemented Interfaces:

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

public class LinearRegressionModel
extends RegressionModel<Vector,LinearRegressionModel>
implements LinearRegressionParams

:: AlphaComponent ::

Model produced by LinearRegression.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
LinearRegressionModel(LinearRegression parent, ParamMap fittingParamMap, Vector weights, double intercept)

Method Summary

Methods

Modifier and Type	Method and Description
ParamMap	fittingParamMap() Fitting parameters, such that parent.fit(..., fittingParamMap) could reproduce the model.
double	intercept()
LinearRegression	parent() The parent estimator that produced this model.
Vector	weights()

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

setFeaturesCol, setPredictionCol, transform, transformSchema

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.ml.param.HasRegParam

getRegParam, regParam

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

getMaxIter, maxIter

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

LinearRegressionModel

public LinearRegressionModel(LinearRegression parent,
                     ParamMap fittingParamMap,
                     Vector weights,
                     double intercept)

Method Detail

parent

public LinearRegression parent()

Description copied from class: Model

The parent estimator that produced this model.

Specified by:

parent in class Model<LinearRegressionModel>

fittingParamMap

public ParamMap fittingParamMap()

Description copied from class: Model

Fitting parameters, such that parent.fit(..., fittingParamMap) could reproduce the model.

Specified by:

fittingParamMap in class Model<LinearRegressionModel>

weights

public Vector weights()

intercept

public double intercept()