public class MultilayerPerceptronClassificationTrainingSummaryImpl extends MultilayerPerceptronClassificationSummaryImpl implements MultilayerPerceptronClassificationTrainingSummary
param: predictions dataframe output by the model's transform
method.
param: predictionCol field in "predictions" which gives the prediction for a data instance as a
double.
param: labelCol field in "predictions" which gives the true label of each instance.
param: weightCol field in "predictions" which gives the weight of each instance.
param: objectiveHistory objective function (scaled loss + regularization) at each iteration.
Constructor and Description |
---|
MultilayerPerceptronClassificationTrainingSummaryImpl(Dataset<Row> predictions,
String predictionCol,
String labelCol,
String weightCol,
double[] objectiveHistory) |
Modifier and Type | Method and Description |
---|---|
double[] |
objectiveHistory()
objective function (scaled loss + regularization) at each iteration.
|
labelCol, predictionCol, predictions, weightCol
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
accuracy, falsePositiveRateByLabel, fMeasureByLabel, fMeasureByLabel, labelCol, labels, precisionByLabel, predictionCol, predictions, recallByLabel, truePositiveRateByLabel, weightCol, weightedFalsePositiveRate, weightedFMeasure, weightedFMeasure, weightedPrecision, weightedRecall, weightedTruePositiveRate
totalIterations
public double[] objectiveHistory()
TrainingSummary
objectiveHistory
in interface TrainingSummary