Class/Object

io.github.mandar2812.dynaml.modelpipe

ModelPredictionPipe

Related Docs: object ModelPredictionPipe | package modelpipe

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class ModelPredictionPipe[T, -P, Q, R, +S, M <: Model[T, Q, R]] extends DataPipe[P, S]

A pipeline which encapsulates a DynaML Model.predict() functionality.

T

The training data type accepted by the encapsulated model

P

The type of unprocessed input to the pipe

Q

The type of input features the model accepts

R

The type of output returned by Model.predict()

S

The type of the processed output.

Linear Supertypes
DataPipe[P, S], Serializable, Serializable, DataPipeConvertible[P, S], AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. ModelPredictionPipe
  2. DataPipe
  3. Serializable
  4. Serializable
  5. DataPipeConvertible
  6. AnyRef
  7. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ModelPredictionPipe(pre: DataPipe[P, Q], m: M, po: DataPipe[R, S])

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    pre

    Pre-processing DataPipe

    m

    The underlying model

    po

    Post-processing DataPipe

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. def %>(that: Basis[S]): Basis[P]

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    Definition Classes
    DataPipe
  4. def *[OtherSource, OtherDestination](that: DataPipe[OtherSource, OtherDestination]): ParallelPipe[P, S, OtherSource, OtherDestination]

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    Definition Classes
    DataPipe
  5. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  6. def >[Further](that: DataPipeConvertible[S, Further]): DataPipe[P, Further]

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    Definition Classes
    DataPipe
  7. def >-<[OtherSource, OtherDestination](that: DataPipe[OtherSource, OtherDestination]): DataPipe2[P, OtherSource, (S, OtherDestination)]

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    Definition Classes
    DataPipe
  8. def apply[T <: Traversable[P]](data: T): T

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    Definition Classes
    DataPipe
  9. def apply(data: P): S

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    Definition Classes
    DataPipe
  10. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  11. val baseModel: M

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  12. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  13. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  14. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  15. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  16. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  17. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  19. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  20. val netFlow: DataPipe[P, S]

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    Attributes
    protected
  21. final def notify(): Unit

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    Definition Classes
    AnyRef
  22. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  23. val postprocess: DataPipe[R, S]

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  24. val preprocess: DataPipe[P, Q]

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  25. def run(data: P): S

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    Definition Classes
    ModelPredictionPipe → DataPipe
  26. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  27. def toPipe: (P) ⇒ S

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    Definition Classes
    DataPipe → DataPipeConvertible
  28. def toString(): String

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    Definition Classes
    AnyRef → Any
  29. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  30. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  31. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from DataPipe[P, S]

Inherited from Serializable

Inherited from Serializable

Inherited from DataPipeConvertible[P, S]

Inherited from AnyRef

Inherited from Any

Ungrouped