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0.3
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slash/slash/slash.matrix/slash.matrix.ml/slash.matrix.ml.data/SupervisedData

SupervisedData

slash.matrix.ml.data.SupervisedData
trait SupervisedData[M <: Int, N <: Int] extends Data[M, N]

Attributes

Source
Data.scala
Graph
Supertypes
trait Data[M, N]
class Object
trait Matchable
class Any
Known subtypes
class StaticSupervisedData[M, N]

Members list

Value members

Abstract methods

def Y: Matrix[M, 1]

Attributes

Source
Data.scala
def labelStats: EstimatedGaussian

Attributes

Source
Data.scala
def labeledExample(i: Int): LabeledVec[N]

Attributes

Source
Data.scala
def y: Vec[M]

Attributes

Source
Data.scala

Concrete methods

def rangeBias: Double

Attributes

Source
Data.scala

Inherited methods

def X: Matrix[M, N]

Attributes

Inherited from:
Data
Source
Data.scala
def domainBias: Vec[N]

Attributes

Inherited from:
Data
Source
Data.scala
def domainComponent(i: Int): Interval[Double]

Attributes

Inherited from:
Data
Source
Data.scala
def example(i: Int): Vec[N]

Attributes

Inherited from:
Data
Source
Data.scala
def sampleMean: Vec[N]

Attributes

Inherited from:
Data
Source
Data.scala
def sampleStandardDeviation: Vec[N]

Attributes

Inherited from:
Data
Source
Data.scala
def sampleVariance: Vec[N]

Attributes

Inherited from:
Data
Source
Data.scala

Inherited fields

val dimension: Int

Attributes

Inherited from:
Data
Source
Data.scala
val sampleSize: Int

Attributes

Inherited from:
Data
Source
Data.scala
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