bootstrap

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]

   

   Bootstrap validation on a data frame classifier.

   Bootstrap validation on a data frame classifier.

   k

   k-round bootstrap estimation.

   data

   data samples.

   trainer

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

   returns

   the error rates of each round.

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

   

   Bootstrap validation on a generic classifier.

   Bootstrap validation on a generic classifier. The bootstrap is a general tool for assessing statistical accuracy. The basic idea is to randomly draw datasets with replacement from the training data, each sample the same size as the original training set. This is done many times (say k = 100), producing k bootstrap datasets. Then we refit the model to each of the bootstrap datasets and examine the behavior of the fits over the k replications.

   k

   k-round bootstrap estimation.

   x

   data samples.

   y

   sample labels.

   trainer

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

   returns

   the error rates of each round.

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]

    

    Bootstrap validation on a data frame regression model.

    Bootstrap validation on a data frame regression model.

    k

    k-round bootstrap estimation.

    data

    data samples.

    trainer

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

    returns

    the root mean squared error of each round.

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

    

    Bootstrap validation on a generic regression model.

    Bootstrap validation on a generic regression model.

    k

    k-round bootstrap estimation.

    x

    data samples.

    y

    response variable.

    trainer

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

    returns

    the root mean squared error of each round.

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( ... )