org.apache.spark.ml.classification

Interface TrainingSummary

All Known Subinterfaces:

BinaryLogisticRegressionTrainingSummary, BinaryRandomForestClassificationTrainingSummary, FMClassificationTrainingSummary, LinearSVCTrainingSummary, LogisticRegressionTrainingSummary, MultilayerPerceptronClassificationTrainingSummary, RandomForestClassificationTrainingSummary

All Known Implementing Classes:

BinaryLogisticRegressionTrainingSummaryImpl, BinaryRandomForestClassificationTrainingSummaryImpl, FMClassificationTrainingSummaryImpl, LinearSVCTrainingSummaryImpl, LogisticRegressionTrainingSummaryImpl, MultilayerPerceptronClassificationTrainingSummaryImpl, RandomForestClassificationTrainingSummaryImpl

public interface TrainingSummary

Abstraction for training results.

Method Summary

Modifier and Type	Method and Description
double[]	objectiveHistory() objective function (scaled loss + regularization) at each iteration.
int	totalIterations() Number of training iterations.

Method Detail

objectiveHistory

double[] objectiveHistory()

objective function (scaled loss + regularization) at each iteration. It contains one more element, the initial state, than number of iterations.

Returns:

(undocumented)

totalIterations

int totalIterations()

Number of training iterations.