Regression

scalation.modeling.Regression
See theRegression companion class
object Regression

The Regression companion object provides factory methods for creating regression models.

Attributes

Companion
class
Graph
Supertypes
class Object
trait Matchable
class Any
Self type
Regression.type

Members list

Value members

Concrete methods

def apply(xy: MatrixD, fname: Array[String], hparam: HyperParameter)(col: Int): Regression

Create a Regression object from a combined data-response matrix.

Create a Regression object from a combined data-response matrix.

Value parameters

col

the designated response column (defaults to the last column)

fname

the feature/variable names (defaults to null)

hparam

the hyper-parameters (defaults to hp)

xy

the combined data-response matrix (predictors and response)

Attributes

def rescale(x: MatrixD, y: VectorD, fname: Array[String], hparam: HyperParameter): Regression

Create a Regression object from a data matrix and a response vector. This method provides data rescaling.

Create a Regression object from a data matrix and a response vector. This method provides data rescaling.

Value parameters

fname

the feature/variable names (defaults to null)

hparam

the hyper-parameters (defaults to hp)

x

the data/input m-by-n matrix (augment with a first column of ones to include intercept in model)

y

the response/output m-vector

Attributes

Concrete fields

Base hyper-parameter specification for Regression

Base hyper-parameter specification for Regression

Attributes