Package org.apache.spark.ml.classification

Interface BinaryRandomForestClassificationTrainingSummary

All Superinterfaces:

BinaryClassificationSummary, BinaryRandomForestClassificationSummary, ClassificationSummary, RandomForestClassificationSummary, RandomForestClassificationTrainingSummary, Serializable, TrainingSummary

All Known Implementing Classes:

BinaryRandomForestClassificationTrainingSummaryImpl

public interface BinaryRandomForestClassificationTrainingSummary
extends BinaryRandomForestClassificationSummary, RandomForestClassificationTrainingSummary

Abstraction for BinaryRandomForestClassification training results.

Method Summary

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

areaUnderROC, fMeasureByThreshold, pr, precisionByThreshold, recallByThreshold, roc, scoreCol

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.RandomForestClassificationSummary

asBinary

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

objectiveHistory, totalIterations