Package org.apache.spark.ml.classification

Interface LogisticRegressionTrainingSummary

All Superinterfaces:

ClassificationSummary, LogisticRegressionSummary, Serializable, TrainingSummary

All Known Subinterfaces:

BinaryLogisticRegressionTrainingSummary

All Known Implementing Classes:

BinaryLogisticRegressionTrainingSummaryImpl, LogisticRegressionTrainingSummaryImpl

public interface LogisticRegressionTrainingSummary
extends LogisticRegressionSummary, TrainingSummary

Abstraction for multiclass logistic regression training results.

Method Summary

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