Class/Object

io.github.mandar2812.dynaml.modelpipe

GPRegressionPipe2

Related Docs: object GPRegressionPipe2 | package modelpipe

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class GPRegressionPipe2[IndexSet] extends DataPipe2[Seq[(IndexSet, Double)], DataPipe[IndexSet, Double], AbstractGPRegressionModel[Seq[(IndexSet, Double)], IndexSet]]

GP Pipes: Alternate

A DataPipe2 which takes a data set, a trend and outputs a GP Regression model.

IndexSet

Type of features of each data pattern

Linear Supertypes
DataPipe2[Seq[(IndexSet, Double)], DataPipe[IndexSet, Double], AbstractGPRegressionModel[Seq[(IndexSet, Double)], IndexSet]], Serializable, Serializable, DataPipeConvertible[(Seq[(IndexSet, Double)], DataPipe[IndexSet, Double]), AbstractGPRegressionModel[Seq[(IndexSet, Double)], IndexSet]], AnyRef, Any
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Inherited
  1. GPRegressionPipe2
  2. DataPipe2
  3. Serializable
  4. Serializable
  5. DataPipeConvertible
  6. AnyRef
  7. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new GPRegressionPipe2(cov: LocalScalarKernel[IndexSet], n: LocalScalarKernel[IndexSet])(implicit arg0: ClassTag[IndexSet])

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    cov

    The covariance function of the resultant GP, as an instance of LocalScalarKernel defined on the IndexSet type.

    n

    The measurement noise of the output signal/data, also as in instance of LocalScalarKernel

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. def >[Result2](otherPipe: DataPipe[AbstractGPRegressionModel[Seq[(IndexSet, Double)], IndexSet], Result2]): DataPipe2[Seq[(IndexSet, Double)], DataPipe[IndexSet, Double], Result2]

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    Definition Classes
    DataPipe2

  5. def apply(data1: Seq[(IndexSet, Double)], data2: DataPipe[IndexSet, Double]): AbstractGPRegressionModel[Seq[(IndexSet, Double)], IndexSet]

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    Definition Classes
    DataPipe2

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  11. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  12. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  14. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  15. final def notify(): Unit

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    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  17. def run(data: Seq[(IndexSet, Double)], trend: DataPipe[IndexSet, Double]): AbstractGPRegressionModel[Seq[(IndexSet, Double)], IndexSet]

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    Definition Classes
    GPRegressionPipe2 → DataPipe2

  18. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  19. def toPipe: ((Seq[(IndexSet, Double)], DataPipe[IndexSet, Double])) ⇒ AbstractGPRegressionModel[Seq[(IndexSet, Double)], IndexSet]

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    Definition Classes
    DataPipe2 → DataPipeConvertible

  20. def toString(): String

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    Definition Classes
    AnyRef → Any

  21. implicit val transform: DataPipe[Seq[(IndexSet, Double)], Seq[(IndexSet, Double)]]

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  22. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  23. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  24. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from DataPipe2[Seq[(IndexSet, Double)], DataPipe[IndexSet, Double], AbstractGPRegressionModel[Seq[(IndexSet, Double)], IndexSet]]

Inherited from Serializable

Inherited from Serializable

Inherited from DataPipeConvertible[(Seq[(IndexSet, Double)], DataPipe[IndexSet, Double]), AbstractGPRegressionModel[Seq[(IndexSet, Double)], IndexSet]]

Inherited from AnyRef

Inherited from Any

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