nodes.images

SymmetricRectifier

case class SymmetricRectifier(maxVal: Double = 0.0, alpha: Double = 0.0) extends Transformer[Image, Image] with Product with Serializable

Linear Supertypes
Product, Equals, Transformer[Image, Image], Pipeline[Image, Image], TransformerNode[Image], Serializable, Serializable, Node, AnyRef, Any
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  1. SymmetricRectifier
  2. Product
  3. Equals
  4. Transformer
  5. Pipeline
  6. TransformerNode
  7. Serializable
  8. Serializable
  9. Node
  10. AnyRef
  11. Any
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Instance Constructors

  1. new SymmetricRectifier(maxVal: Double = 0.0, alpha: Double = 0.0)

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. val alpha: Double

  7. final def andThen[C, L](est: LabelEstimator[Image, C, L], data: RDD[Image], labels: RDD[L]): PipelineWithFittedTransformer[Image, Image, C]

    Definition Classes
    Pipeline

  8. final def andThen[C](est: Estimator[Image, C], data: RDD[Image]): PipelineWithFittedTransformer[Image, Image, C]

    Definition Classes
    Pipeline

  9. final def andThen[C](next: Pipeline[Image, C]): Pipeline[Image, C]

    Chains a pipeline onto the end of this one, producing a new pipeline.

    Chains a pipeline onto the end of this one, producing a new pipeline.

    next

    the pipeline to chain

    Definition Classes
    Pipeline

  10. def apply(img: Image): Image

    Apply this Transformer to a single input item

    Apply this Transformer to a single input item

    returns

    The output value

    Definition Classes
    SymmetricRectifier → Transformer → Pipeline

  11. def apply(in: RDD[Image]): RDD[Image]

    Apply this Transformer to an RDD of input items

    Apply this Transformer to an RDD of input items

    in

    The bulk RDD input to pass into this transformer

    returns

    The bulk RDD output for the given input

    Definition Classes
    Transformer → Pipeline

  12. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  13. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  15. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  17. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  18. def label: String

    Definition Classes
    Node

  19. val maxVal: Double

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

    Definition Classes
    AnyRef

  21. final def notify(): Unit

    Definition Classes
    AnyRef

  22. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  24. final def toDOTString: String

    returns

    A graphviz dot representation of this pipeline

    Definition Classes
    Pipeline

  25. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from Transformer[Image, Image]

Inherited from Pipeline[Image, Image]

Inherited from TransformerNode[Image]

Inherited from Serializable

Inherited from Serializable

Inherited from Node

Inherited from AnyRef

Inherited from Any

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