cv

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[M <: DataFrameClassifier](k: Int, formula: Formula, data: DataFrame)(trainer: (Formula, DataFrame) ⇒ M): ClassificationValidations[M]

   

   Cross validation on a data frame classifier.

   Cross validation on a data frame classifier.

   k

   k-fold cross validation.

   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, M <: Classifier[T]](k: Int, x: Array[T], y: Array[Int])(trainer: (Array[T], Array[Int]) ⇒ M): ClassificationValidations[M]

   

   Cross validation on a generic classifier.

   Cross validation on a generic classifier. Cross-validation is a technique for assessing how the results of a statistical analysis will generalize to an independent data set. It is mainly used in settings where the goal is prediction, and one wants to estimate how accurately a predictive model will perform in practice. One round of cross-validation involves partitioning a sample of data into complementary subsets, performing the analysis on one subset (called the training set), and validating the analysis on the other subset (called the validation set or testing set). To reduce variability, multiple rounds of cross-validation are performed using different partitions, and the validation results are averaged over the rounds.

   k

   k-fold cross validation.

   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[M <: DataFrameRegression](k: Int, formula: Formula, data: DataFrame)(trainer: (Formula, DataFrame) ⇒ M): RegressionValidations[M]

    

    Cross validation on a data frame regression model.

    Cross validation on a data frame regression model.

    k

    k-fold cross validation.

    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, M <: Regression[T]](k: Int, x: Array[T], y: Array[Double])(trainer: (Array[T], Array[Double]) ⇒ M): RegressionValidations[M]

    

    Cross validation on a generic regression model.

    Cross validation on a generic regression model.

    k

    k-fold cross validation.

    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( ... )