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slash/slash/slash.matrix/slash.matrix.ml/slash.matrix.ml.supervized.regression/LinearRegressionModel

LinearRegressionModel

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

Value parameters

`R²`

Coefficient of determination =

Attributes

Source
LinearRegressionModel.scala
Graph
Supertypes
trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any
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Members list

Value members

Concrete methods

def apply(x: Vec[N]): Double

Attributes

Source
LinearRegressionModel.scala
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]

Attributes

Source
LinearRegressionModel.scala
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