org.apache.spark.ml.classification

Interface LogisticRegressionSummary

All Superinterfaces:

java.io.Serializable

All Known Subinterfaces:

LogisticRegressionTrainingSummary

All Known Implementing Classes:

BinaryLogisticRegressionSummary, BinaryLogisticRegressionTrainingSummary

public interface LogisticRegressionSummary
extends scala.Serializable

Abstraction for Logistic Regression Results for a given model.

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.String	labelCol() Field in "predictions" which gives the the true label of each sample.
DataFrame	predictions() Dataframe outputted by the model's `transform` method.
java.lang.String	probabilityCol() Field in "predictions" which gives the calibrated probability of each sample as a vector.

Method Detail

predictions

DataFrame predictions()

Dataframe outputted by the model's `transform` method.

probabilityCol

java.lang.String probabilityCol()

Field in "predictions" which gives the calibrated probability of each sample as a vector.

labelCol

java.lang.String labelCol()

Field in "predictions" which gives the the true label of each sample.