org.apache.spark.ml.classification

Interface RandomForestClassificationTrainingSummary

All Superinterfaces:

ClassificationSummary, RandomForestClassificationSummary, java.io.Serializable, TrainingSummary

All Known Subinterfaces:

BinaryRandomForestClassificationTrainingSummary

All Known Implementing Classes:

BinaryRandomForestClassificationTrainingSummaryImpl, RandomForestClassificationTrainingSummaryImpl

public interface RandomForestClassificationTrainingSummary
extends RandomForestClassificationSummary, TrainingSummary

Abstraction for multiclass RandomForestClassification training results.

Method Summary

Methods inherited from interface org.apache.spark.ml.classification.RandomForestClassificationSummary

asBinary

Methods inherited from interface org.apache.spark.ml.classification.ClassificationSummary

accuracy, falsePositiveRateByLabel, fMeasureByLabel, fMeasureByLabel, labelCol, labels, precisionByLabel, predictionCol, predictions, recallByLabel, truePositiveRateByLabel, weightCol, weightedFalsePositiveRate, weightedFMeasure, weightedFMeasure, weightedPrecision, weightedRecall, weightedTruePositiveRate

Methods inherited from interface org.apache.spark.ml.classification.TrainingSummary

objectiveHistory, totalIterations