Interface LogisticRegressionSummary

All Superinterfaces:
ClassificationSummary, Serializable
All Known Subinterfaces:
BinaryLogisticRegressionSummary, BinaryLogisticRegressionTrainingSummary, LogisticRegressionTrainingSummary
All Known Implementing Classes:
BinaryLogisticRegressionSummaryImpl, BinaryLogisticRegressionTrainingSummaryImpl, LogisticRegressionSummaryImpl, LogisticRegressionTrainingSummaryImpl

public interface LogisticRegressionSummary extends ClassificationSummary
Abstraction for logistic regression results for a given model.
  • Method Details

    • asBinary

      Convenient method for casting to binary logistic regression summary. This method will throw an Exception if the summary is not a binary summary.
      Returns:
      (undocumented)
    • featuresCol

      String featuresCol()
      Field in "predictions" which gives the features of each instance as a vector.
    • probabilityCol

      String probabilityCol()
      Field in "predictions" which gives the probability of each class as a vector.