Package org.apache.spark.ml.classification

Interface LogisticRegressionTrainingSummary

All Superinterfaces:
org.apache.spark.ml.classification.ClassificationSummary, LogisticRegressionSummary, Serializable, org.apache.spark.ml.util.Summary, org.apache.spark.ml.classification.TrainingSummary
All Known Subinterfaces:
BinaryLogisticRegressionTrainingSummary
public interface LogisticRegressionTrainingSummary extends LogisticRegressionSummary, org.apache.spark.ml.classification.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, org$apache$spark$ml$classification$ClassificationSummary$_setter_$org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics_$eq, org$apache$spark$ml$classification$ClassificationSummary$$multiclassMetrics, 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