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

:: Experimental :: 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, binaryMetrics, fMeasureByThreshold, pr, precisionByThreshold, recallByThreshold, roc, sparkSession

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, multiclassMetrics, precisionByLabel, predictionCol, predictions, probabilityCol, recallByLabel, truePositiveRateByLabel, weightedFalsePositiveRate, weightedFMeasure, weightedFMeasure, weightedPrecision, weightedRecall, weightedTruePositiveRate