org.apache.spark.ml.regression

Class LinearRegressionTrainingSummary

Object

org.apache.spark.ml.regression.LinearRegressionSummary

org.apache.spark.ml.regression.LinearRegressionTrainingSummary

All Implemented Interfaces:

java.io.Serializable

public class LinearRegressionTrainingSummary
extends LinearRegressionSummary

See Also:

Serialized Form

Method Summary

Methods

Modifier and Type	Method and Description
String	featuresCol()
double[]	objectiveHistory()
int	totalIterations()

Methods inherited from class org.apache.spark.ml.regression.LinearRegressionSummary

coefficientStandardErrors, devianceResiduals, explainedVariance, labelCol, meanAbsoluteError, meanSquaredError, model, numInstances, predictionCol, predictions, pValues, r2, residuals, rootMeanSquaredError, tValues

Methods inherited from class Object

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

Method Detail

featuresCol

public String featuresCol()

objectiveHistory

public double[] objectiveHistory()

totalIterations

public int totalIterations()