Class LogisticRegressionSummaryImpl

All Implemented Interfaces:
Serializable, ClassificationSummary, LogisticRegressionSummary, scala.Serializable
Direct Known Subclasses:
BinaryLogisticRegressionSummaryImpl, LogisticRegressionTrainingSummaryImpl

public class LogisticRegressionSummaryImpl extends Object implements LogisticRegressionSummary
Multiclass logistic regression results for a given model.

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 for a data instance 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. param: weightCol field in "predictions" which gives the weight of each instance.

See Also: