matrix
0.1
API
Generated with
matrix/ai.dragonfly.math.matrix.ml.supervized.regression/LinearRegressionModel

LinearRegressionModel

ai.dragonfly.math.matrix.ml.supervized.regression.LinearRegressionModel
case class LinearRegressionModel[N <: Int](A: Matrix[N, 1], mean: Vec[N], bias: Double, standardError: Double, R²: Double)

Attributes

`R²`

Coefficient of determination =

Source:
LinearRegressionModel.scala
Graph
Supertypes
trait Product
trait Equals
class Object
trait Matchable
class Any

Members list

Concise view

Value members

Concrete methods

def apply(x: Vec[N]): Double
override def toString(): String

Returns a string representation of the object.

Returns a string representation of the object.

The default representation is platform dependent.

Attributes

Returns:

a string representation of the object.

Definition Classes
Any
Source:
LinearRegressionModel.scala

Inherited methods

def productElementNames: Iterator[String]

Attributes

Inherited from:
Product
def productIterator: Iterator[Any]

Attributes

Inherited from:
Product

Concrete fields

val a: Vec[N]
Generated with