public class BinaryLogisticRegressionSummaryImpl extends LogisticRegressionSummaryImpl implements BinaryLogisticRegressionSummary
param: predictions dataframe output by the model's transform method.
param: probabilityCol field in "predictions" which gives the probability of
each class as a vector.
param: predictionCol field in "predictions" which gives the prediction of
each class as a double.
param: labelCol field in "predictions" which gives the true label of each instance.
param: featuresCol field in "predictions" which gives the features of each instance as a vector.
| Constructor and Description |
|---|
BinaryLogisticRegressionSummaryImpl(Dataset<Row> predictions,
String probabilityCol,
String predictionCol,
String labelCol,
String featuresCol) |
featuresCol, labelCol, predictionCol, predictions, probabilityColequals, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitareaUnderROC, binaryMetrics, fMeasureByThreshold, pr, precisionByThreshold, recallByThreshold, roc, sparkSessionaccuracy, asBinary, falsePositiveRateByLabel, featuresCol, fMeasureByLabel, fMeasureByLabel, labelCol, labels, multiclassMetrics, precisionByLabel, predictionCol, predictions, probabilityCol, recallByLabel, truePositiveRateByLabel, weightedFalsePositiveRate, weightedFMeasure, weightedFMeasure, weightedPrecision, weightedRecall, weightedTruePositiveRate