BinaryLogisticRegressionSummary (Spark 4.1.0-preview3 JavaDoc)

All Superinterfaces:: BinaryClassificationSummary, ClassificationSummary, LogisticRegressionSummary, Serializable, Summary

All Known Subinterfaces:: BinaryLogisticRegressionTrainingSummary

All Known Implementing Classes:: BinaryLogisticRegressionSummaryImpl, BinaryLogisticRegressionTrainingSummaryImpl

public interface BinaryLogisticRegressionSummary extends LogisticRegressionSummary, BinaryClassificationSummary

Abstraction for binary logistic regression results for a given model.

Method Summary

Modifier and Type

Method

Description

String

scoreCol()

Field in "predictions" which gives the probability or rawPrediction of each class as a vector.

Methods inherited from interface org.apache.spark.ml.classification.BinaryClassificationSummary
areaUnderROC, fMeasureByThreshold, pr, precisionByThreshold, recallByThreshold, roc

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.LogisticRegressionSummary
asBinary, featuresCol, probabilityCol

Method Details
- scoreCol
  
  String scoreCol()
  
  Description copied from interface: BinaryClassificationSummary
  
  Field in "predictions" which gives the probability or rawPrediction of each class as a vector.
  
  Specified by:
  
  scoreCol in interface BinaryClassificationSummary
  
  Returns:
  
  (undocumented)