TrainingSummary (Spark 3.5.5 JavaDoc) (original) (raw)

• 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

  All Methods Instance Methods Abstract Methods

  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.