matrix
0.1
API
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matrix/ai.dragonfly.math.matrix.ml.data/StaticUnsupervisedData

StaticUnsupervisedData

ai.dragonfly.math.matrix.ml.data.StaticUnsupervisedData
See theStaticUnsupervisedData companion object
class StaticUnsupervisedData[M <: Int, N <: Int](examples: Array[Vec[N]])(using x$2: ValueOf[M], x$3: ValueOf[N]) extends UnsupervisedData[M, N]

Attributes

Companion:
object
Source:
Data.scala
Graph
Supertypes
trait UnsupervisedData[M, N]
trait Data[M, N]
class Object
trait Matchable
class Any

Members list

Concise view

Value members

Concrete methods

override def domainComponent(i: Int): Interval[Double]

Attributes

Definition Classes
Source:
Data.scala
override def example(i: Int): Vec[N]

Attributes

Definition Classes
Source:
Data.scala

Inherited methods

def domainBias: Vec[N]

Attributes

Inherited from:
Data
Source:
Data.scala

Concrete fields

override val X: Matrix[M, N]

Attributes

Source:
Data.scala
val intervals: Array[Interval[Double]]

Attributes

Source:
Data.scala
override val sampleMean: Vec[N]

Attributes

Source:
Data.scala
override val sampleStandardDeviation: Vec[N]

Attributes

Source:
Data.scala
override val sampleVariance: Vec[N]

Attributes

Source:
Data.scala
val temp: (Vec[N], Vec[N], Vec[N], Array[Interval[Double]])

Attributes

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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