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

slash.matrix.ml.supervized.regression

package slash.matrix.ml.supervized.regression

Members list

Type members

Classlikes

trait LinearRegression[M <: Int, N <: Int](using x$1: ValueOf[M], x$2: ValueOf[N])

Attributes

Source
LinearRegression.scala
Supertypes
class Object
trait Matchable
class Any
Known subtypes
class LinearRegressionQR[M, N]
class LinearRegressionSVD[M, N]
case class LinearRegressionModel[N <: Int](A: Matrix[N, 1], mean: Vec[N], bias: Double, standardError: Double, R²: Double)

Value parameters

`R²`

Coefficient of determination =

Attributes

Source
LinearRegressionModel.scala
Supertypes
trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any
Show all
trait LinearRegressionProblem[M <: Int, N <: Int](using x$1: ValueOf[M], x$2: ValueOf[N])

Attributes

Companion
object
Source
LinearRegression.scala
Supertypes
class Object
trait Matchable
class Any
object LinearRegressionProblem

Attributes

Companion
trait
Source
LinearRegression.scala
Supertypes
class Object
trait Matchable
class Any
Self type
class LinearRegressionQR[M <: Int, N <: Int](using x$1: ValueOf[M], x$2: ValueOf[N]) extends LinearRegression[M, N]

Attributes

Source
LinearRegressionQR.scala
Supertypes
trait LinearRegression[M, N]
class Object
trait Matchable
class Any
class LinearRegressionSVD[M <: Int, N <: Int](using x$1: ValueOf[M], x$2: ValueOf[N], x$3: M >= N =:= true) extends LinearRegression[M, N]

Attributes

Source
LinearRegressionSVD.scala
Supertypes
trait LinearRegression[M, N]
class Object
trait Matchable
class Any
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