Class BinaryLogisticRegressionSummaryImpl

Object
org.apache.spark.ml.classification.LogisticRegressionSummaryImpl
org.apache.spark.ml.classification.BinaryLogisticRegressionSummaryImpl
All Implemented Interfaces:
Serializable, BinaryClassificationSummary, BinaryLogisticRegressionSummary, ClassificationSummary, LogisticRegressionSummary
Direct Known Subclasses:
BinaryLogisticRegressionTrainingSummaryImpl

public class BinaryLogisticRegressionSummaryImpl extends LogisticRegressionSummaryImpl implements BinaryLogisticRegressionSummary
Binary 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 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. param: weightCol field in "predictions" which gives the weight of each instance.

See Also: