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object RegressionTree_GB extends ModelFactory

The RegressionTree_GB companion object defines hyper-parameters and provides a factory function.

Linear Supertypes
ModelFactory, Error, AnyRef, Any
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  1. RegressionTree_GB
  2. ModelFactory
  3. Error
  4. AnyRef
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Value Members

  1. def allForms(x: MatriD): MatriD

    Create all forms/terms for each row/point placing them in a new matrix.

    Create all forms/terms for each row/point placing them in a new matrix.

    x

    the original un-expanded input/data matrix

    Definition Classes
    ModelFactory
  2. def apply(x: MatriD, y: VectoD, fname: Strings, hparam: HyperParameter): RegressionTree_GB

    Create a RegressionTree_GB object that uses Gradient Boosting on RegressionTree.

    Create a RegressionTree_GB object that uses Gradient Boosting on RegressionTree. One Tree is included in the model at a time wisely chosen for reducing gradient.

    x

    the data matrix

    y

    the response vector

    hparam

    the hyper-parameters for the model

  3. def apply(xy: MatriD, fname: Strings = null, hparam: HyperParameter = hp): RegressionTree_GB

    Create a RegressionTree_GB object that uses Gradient Boosting on RegressionTree.

    Create a RegressionTree_GB object that uses Gradient Boosting on RegressionTree. One Tree is included in the model at a time wisely chosen for reducing gradient.

    xy

    the combined data-response matrix

    hparam

    the hyper-parameters for the model

  4. val drp: (Null, HyperParameter)
  5. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  6. def forms(xi: VectoD, k: Int, nt: Int): VectoD

    Given a vector/point 'v', compute the values for all of its forms/terms, returning them as a vector (assumes Regression with intercept).

    Given a vector/point 'v', compute the values for all of its forms/terms, returning them as a vector (assumes Regression with intercept). Override for expanded columns, e.g., QuadRegression.

    xi

    the vector/point (i-th row of x) for creating forms/terms

    k

    the number of features/predictor variables (not counting intercept)

    nt

    the number of terms

    Definition Classes
    ModelFactory
  7. val hp: HyperParameter
  8. def numTerms(k: Int): Int

    The number of terms/parameters in the model (assumes Regression with intercept.

    The number of terms/parameters in the model (assumes Regression with intercept. Override for expanded columns, e.g., QuadRegression.

    k

    the number of features/predictor variables (not counting intercept)

    Definition Classes
    ModelFactory
  9. def rescaleOff(): Unit

    Turn rescaling off.

    Turn rescaling off.

    Definition Classes
    ModelFactory
  10. def rescaleOn(): Unit

    Turn rescaling on.

    Turn rescaling on.

    Definition Classes
    ModelFactory