Package org.apache.spark.ml.classification

Interface BinaryLogisticRegressionTrainingSummary

All Superinterfaces:

BinaryClassificationSummary, BinaryLogisticRegressionSummary, ClassificationSummary, LogisticRegressionSummary, LogisticRegressionTrainingSummary, Serializable, TrainingSummary

All Known Implementing Classes:

BinaryLogisticRegressionTrainingSummaryImpl

public interface BinaryLogisticRegressionTrainingSummary
extends BinaryLogisticRegressionSummary, LogisticRegressionTrainingSummary

Abstraction for binary logistic regression training results.

Method Summary

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.BinaryLogisticRegressionSummary

scoreCol

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

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

objectiveHistory, totalIterations