Package org.apache.spark.ml.classification

Interface BinaryRandomForestClassificationSummary

All Superinterfaces:
org.apache.spark.ml.classification.BinaryClassificationSummary, org.apache.spark.ml.classification.ClassificationSummary, Serializable, org.apache.spark.ml.util.Summary
All Known Subinterfaces:
BinaryRandomForestClassificationTrainingSummary
public interface BinaryRandomForestClassificationSummary extends org.apache.spark.ml.classification.BinaryClassificationSummary
Abstraction for BinaryRandomForestClassification results for a given model.

  • Method Summary

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

    areaUnderROC, fMeasureByThreshold, org$apache$spark$ml$classification$BinaryClassificationSummary$_setter_$org$apache$spark$ml$classification$BinaryClassificationSummary$$binaryMetrics_$eq, org$apache$spark$ml$classification$BinaryClassificationSummary$_setter_$org$apache$spark$ml$classification$BinaryClassificationSummary$$sparkSession_$eq, org$apache$spark$ml$classification$BinaryClassificationSummary$$binaryMetrics, org$apache$spark$ml$classification$BinaryClassificationSummary$$sparkSession, pr, precisionByThreshold, recallByThreshold, roc, scoreCol

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

    accuracy, falsePositiveRateByLabel, fMeasureByLabel, fMeasureByLabel, labelCol, labels, org$apache$spark$ml$classification$ClassificationSummary$_setter_$org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics_$eq, org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics, precisionByLabel, predictionCol, predictions, recallByLabel, truePositiveRateByLabel, weightCol, weightedFalsePositiveRate, weightedFMeasure, weightedFMeasure, weightedPrecision, weightedRecall, weightedTruePositiveRate