Package org.apache.spark.ml.classification

Interface RandomForestClassificationSummary

All Superinterfaces:
org.apache.spark.ml.classification.ClassificationSummary, Serializable, org.apache.spark.ml.util.Summary
All Known Subinterfaces:
BinaryRandomForestClassificationTrainingSummary, RandomForestClassificationTrainingSummary
public interface RandomForestClassificationSummary extends org.apache.spark.ml.classification.ClassificationSummary
Abstraction for multiclass RandomForestClassification results for a given model.

  • Method Summary

    Modifier and Type
    Method
    Description
    BinaryRandomForestClassificationSummary
    asBinary()
    Convenient method for casting to BinaryRandomForestClassificationSummary.

    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

  • Method Details

    • asBinary

      BinaryRandomForestClassificationSummary asBinary()
      Convenient method for casting to BinaryRandomForestClassificationSummary. This method will throw an Exception if the summary is not a binary summary.
      Returns:
      (undocumented)