PoissonRegression

scalation.modeling.PoissonRegression
See thePoissonRegression companion class

The PoissonRegression companion object provides factory methods for creating Poisson 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): PoissonRegression

Create a PoissonRegression object from a combined data matrix.

Create a PoissonRegression object from a combined data 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 (currently has none)

xy

the combined data-response matrix

Attributes

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

Create a PoissonRegression object given an integer response vector.

Create a PoissonRegression object given an integer response vector.

Value parameters

fname

the feature/variable names

hparam

the hyper-parameters (currently has none)

x

the data matrix

y

the response vector as an integer vector

Attributes