BinaryLogisticRegressionSummary

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. final def ==(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

4. lazy val areaUnderROC: Double

   

   Computes the area under the receiver operating characteristic (ROC) curve.

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

7. final def eq(arg0: AnyRef): Boolean

   

   Definition Classes

   AnyRef

8. def equals(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

9. lazy val fMeasureByThreshold: DataFrame

   

   Returns a dataframe with two fields (threshold, F-Measure) curve with beta = 1.0.

10. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

11. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

12. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

13. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

14. val labelCol: String

    

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

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

    Definition Classes

    BinaryLogisticRegressionSummary → LogisticRegressionSummary

15. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

16. final def notify(): Unit

    

    Definition Classes

    AnyRef

17. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

18. lazy val pr: DataFrame

    

    Returns the precision-recall curve, which is an Dataframe containing two fields recall, precision with (0.0, 1.0) prepended to it.

19. lazy val precisionByThreshold: DataFrame

    

    Returns a dataframe with two fields (threshold, precision) curve.

    Returns a dataframe with two fields (threshold, precision) curve. Every possible probability obtained in transforming the dataset are used as thresholds used in calculating the precision.

20. val predictions: DataFrame

    

    dataframe outputted by the model's transform method.

    dataframe outputted by the model's transform method.

    Definition Classes

    BinaryLogisticRegressionSummary → LogisticRegressionSummary

21. val probabilityCol: String

    

    field in "predictions" which gives the calibrated probability of each sample.

    field in "predictions" which gives the calibrated probability of each sample.

    Definition Classes

    BinaryLogisticRegressionSummary → LogisticRegressionSummary

22. lazy val recallByThreshold: DataFrame

    

    Returns a dataframe with two fields (threshold, recall) curve.

    Returns a dataframe with two fields (threshold, recall) curve. Every possible probability obtained in transforming the dataset are used as thresholds used in calculating the recall.

23. lazy val roc: DataFrame

    

    Returns the receiver operating characteristic (ROC) curve, which is an Dataframe having two fields (FPR, TPR) with (0.0, 0.0) prepended and (1.0, 1.0) appended to it.

    Returns the receiver operating characteristic (ROC) curve, which is an Dataframe having two fields (FPR, TPR) with (0.0, 0.0) prepended and (1.0, 1.0) appended to it.

    See also

    http://en.wikipedia.org/wiki/Receiver_operating_characteristic

24. final def synchronized[T0](arg0: ⇒ T0): T0

    

    Definition Classes

    AnyRef

25. def toString(): String

    

    Definition Classes

    AnyRef → Any

26. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

27. final def wait(arg0: Long, arg1: Int): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

28. final def wait(arg0: Long): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )