loocv

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. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

5. def classification(formula: Formula, data: DataFrame)(trainer: (Formula, DataFrame) ⇒ DataFrameClassifier): ClassificationMetrics

   

   Leave-one-out cross validation on a data frame classifier.

   Leave-one-out cross validation on a data frame classifier.

   formula

   model formula.

   data

   data samples.

   trainer

   a code block to return a classifier trained on the given data.

   returns

   metric scores.

6. def classification[T <: AnyRef](x: Array[T], y: Array[Int])(trainer: (Array[T], Array[Int]) ⇒ Classifier[T]): ClassificationMetrics

   

   Leave-one-out cross validation on a generic classifier.

   Leave-one-out cross validation on a generic classifier. LOOCV uses a single observation from the original sample as the validation data, and the remaining observations as the training data. This is repeated such that each observation in the sample is used once as the validation data. This is the same as a K-fold cross-validation with K being equal to the number of observations in the original sample. Leave-one-out cross-validation is usually very expensive from a computational point of view because of the large number of times the training process is repeated.

   x

   data samples.

   y

   sample labels.

   trainer

   a code block to return a classifier trained on the given data.

   returns

   metric scores.

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

   

   Definition Classes

   AnyRef

9. def equals(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

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. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

15. final def notify(): Unit

    

    Definition Classes

    AnyRef

16. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

17. def regression(formula: Formula, data: DataFrame)(trainer: (Formula, DataFrame) ⇒ DataFrameRegression): RegressionMetrics

    

    Leave-one-out cross validation on a data frame regression model.

    Leave-one-out cross validation on a data frame regression model.

    formula

    model formula.

    data

    data samples.

    trainer

    a code block to return a regression model trained on the given data.

    returns

    metric scores.

18. def regression[T <: AnyRef](x: Array[T], y: Array[Double])(trainer: (Array[T], Array[Double]) ⇒ Regression[T]): RegressionMetrics

    

    Leave-one-out cross validation on a generic regression model.

    Leave-one-out cross validation on a generic regression model.

    x

    data samples.

    y

    response variable.

    trainer

    a code block to return a regression model trained on the given data.

    returns

    metric scores.

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

    

    Definition Classes

    AnyRef

20. def toString(): String

    

    Definition Classes

    AnyRef → Any

21. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )