Interface RandomForestClassificationSummary
- All Superinterfaces:
- ClassificationSummary,- Serializable,- Summary
- All Known Subinterfaces:
- BinaryRandomForestClassificationTrainingSummary,- RandomForestClassificationTrainingSummary
- All Known Implementing Classes:
- BinaryRandomForestClassificationSummaryImpl,- BinaryRandomForestClassificationTrainingSummaryImpl,- RandomForestClassificationSummaryImpl,- RandomForestClassificationTrainingSummaryImpl
Abstraction for multiclass RandomForestClassification results for a given model.
- 
Method SummaryModifier and TypeMethodDescriptionasBinary()Convenient method for casting to BinaryRandomForestClassificationSummary.Methods inherited from interface org.apache.spark.ml.classification.ClassificationSummaryaccuracy, falsePositiveRateByLabel, fMeasureByLabel, fMeasureByLabel, labelCol, labels, precisionByLabel, predictionCol, predictions, recallByLabel, truePositiveRateByLabel, weightCol, weightedFalsePositiveRate, weightedFMeasure, weightedFMeasure, weightedPrecision, weightedRecall, weightedTruePositiveRate
- 
Method Details- 
asBinaryBinaryRandomForestClassificationSummary asBinary()Convenient method for casting to BinaryRandomForestClassificationSummary. This method will throw an Exception if the summary is not a binary summary.- Returns:
- (undocumented)
 
 
-