RoundRegression

scalation.modeling.RoundRegression
See theRoundRegression companion class

The RoundRegression companion object provides factory methods for creating rounded regression models.

Attributes

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

Members list

Value members

Concrete methods

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

Create a RoundRegression object using a combined matrix.

Create a RoundRegression object using a combined 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 Regression.hp)

xy

the combined data matrix and response vector

Attributes

def apply(x: MatrixD, y: VectorI, fname: Array[String], hparam: HyperParameter): RoundRegression

Create a RoundRegression object for an integer response vector.

Create a RoundRegression object for an integer response vector.

Value parameters

fname

the feature/variable names

hparam

the hyper-parameters (it doesn't have any, but may be used by derived classes)

x

the data/input matrix

y

the integer response/output vector

Attributes

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