org.apache.spark.ml.classification

Interface BinaryLogisticRegressionSummary

All Superinterfaces:

BinaryClassificationSummary, ClassificationSummary, LogisticRegressionSummary, java.io.Serializable

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 and 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.LogisticRegressionSummary

asBinary, featuresCol, probabilityCol

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

Method Detail

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)