nodes.images.external

FisherVector

case class FisherVector(gmm: GaussianMixtureModel) extends Transformer[DenseMatrix[Float], DenseMatrix[Float]] with FisherVectorInterface with Product with Serializable

Implements a wrapper for the enceval Fisher Vector implementation.

gmm

A trained Gaussian Mixture Model

Linear Supertypes
Product, Equals, FisherVectorInterface, Transformer[DenseMatrix[Float], DenseMatrix[Float]], Pipeline[DenseMatrix[Float], DenseMatrix[Float]], TransformerNode[DenseMatrix[Float]], Serializable, Serializable, Node, AnyRef, Any
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Inherited
  1. FisherVector
  2. Product
  3. Equals
  4. FisherVectorInterface
  5. Transformer
  6. Pipeline
  7. TransformerNode
  8. Serializable
  9. Serializable
  10. Node
  11. AnyRef
  12. Any
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Instance Constructors

  1. new FisherVector(gmm: GaussianMixtureModel)

    gmm

    A trained Gaussian Mixture Model

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

    Definition Classes
    Pipeline

  7. final def andThen[C](est: Estimator[DenseMatrix[Float], C], data: RDD[DenseMatrix[Float]]): PipelineWithFittedTransformer[DenseMatrix[Float], DenseMatrix[Float], C]

    Definition Classes
    Pipeline

  8. final def andThen[C](next: Pipeline[DenseMatrix[Float], C]): Pipeline[DenseMatrix[Float], 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

  9. def apply(in: DenseMatrix[Float]): DenseMatrix[Float]

    Apply this Transformer to a single input item

    Apply this Transformer to a single input item

    in

    The input item to pass into this transformer

    returns

    The output value

    Definition Classes
    FisherVector → Transformer → Pipeline

  10. def apply(in: RDD[DenseMatrix[Float]]): RDD[DenseMatrix[Float]]

    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

  11. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  12. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  14. lazy val extLib: EncEval

  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. val gmm: GaussianMixtureModel

    A trained Gaussian Mixture Model

  18. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  19. def label: String

    Definition Classes
    Node

  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. val numCentroids: Int

  24. val numDims: Int

  25. val numFeatures: Int

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

    Definition Classes
    AnyRef

  27. final def toDOTString: String

    returns

    A graphviz dot representation of this pipeline

    Definition Classes
    Pipeline

  28. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from FisherVectorInterface

Inherited from Transformer[DenseMatrix[Float], DenseMatrix[Float]]

Inherited from Pipeline[DenseMatrix[Float], DenseMatrix[Float]]

Inherited from TransformerNode[DenseMatrix[Float]]

Inherited from Serializable

Inherited from Serializable

Inherited from Node

Inherited from AnyRef

Inherited from Any

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