public class BinaryLogisticRegressionTrainingSummary extends BinaryLogisticRegressionSummary implements LogisticRegressionTrainingSummary
transformmethod. param: probabilityCol field in "predictions" which gives the calibrated probability of each sample as a vector. param: labelCol field in "predictions" which gives the true label of each sample. param: objectiveHistory objective function (scaled loss + regularization) at each iteration.
|Modifier and Type||Method and Description|
objective function (scaled loss + regularization) at each iteration.
areaUnderROC, fMeasureByThreshold, labelCol, pr, precisionByThreshold, predictions, probabilityCol, recallByThreshold, roc
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait