Interface FMClassificationTrainingSummary
- All Superinterfaces:
org.apache.spark.ml.classification.BinaryClassificationSummary,org.apache.spark.ml.classification.ClassificationSummary,FMClassificationSummary,Serializable,org.apache.spark.ml.util.Summary,org.apache.spark.ml.classification.TrainingSummary
public interface FMClassificationTrainingSummary
extends FMClassificationSummary, org.apache.spark.ml.classification.TrainingSummary
Abstraction for FMClassifier training results.
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Method Summary
Methods inherited from interface org.apache.spark.ml.classification.BinaryClassificationSummary
areaUnderROC, fMeasureByThreshold, org$apache$spark$ml$classification$BinaryClassificationSummary$_setter_$org$apache$spark$ml$classification$BinaryClassificationSummary$$binaryMetrics_$eq, org$apache$spark$ml$classification$BinaryClassificationSummary$_setter_$org$apache$spark$ml$classification$BinaryClassificationSummary$$sparkSession_$eq, org$apache$spark$ml$classification$BinaryClassificationSummary$$binaryMetrics, org$apache$spark$ml$classification$BinaryClassificationSummary$$sparkSession, pr, precisionByThreshold, recallByThreshold, roc, scoreColMethods 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, weightedTruePositiveRateMethods inherited from interface org.apache.spark.ml.classification.TrainingSummary
objectiveHistory, totalIterations