org.apache.spark.ml.classification

Interface BinaryLogisticRegressionTrainingSummary

All Superinterfaces:

BinaryLogisticRegressionSummary, LogisticRegressionSummary, LogisticRegressionTrainingSummary, java.io.Serializable

All Known Implementing Classes:

BinaryLogisticRegressionTrainingSummaryImpl

public interface BinaryLogisticRegressionTrainingSummary
extends BinaryLogisticRegressionSummary, LogisticRegressionTrainingSummary

Abstraction for binary logistic regression training results. Currently, the training summary ignores the training weights except for the objective trace.

Method Summary

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

areaUnderROC, fMeasureByThreshold, pr, precisionByThreshold, recallByThreshold, roc

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

objectiveHistory, totalIterations

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

accuracy, asBinary, falsePositiveRateByLabel, featuresCol, fMeasureByLabel, fMeasureByLabel, labelCol, labels, precisionByLabel, predictionCol, predictions, probabilityCol, recallByLabel, truePositiveRateByLabel, weightedFalsePositiveRate, weightedFMeasure, weightedFMeasure, weightedPrecision, weightedRecall, weightedTruePositiveRate