Class/Object

com.intel.analytics.zoo.models.image.imageclassification

LabelOutput

Related Docs: object LabelOutput | package imageclassification

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class LabelOutput extends ImageProcessing

Transform image prediction output to class name labels with probabilities.

Linear Supertypes
ImageProcessing, Preprocessing[ImageFeature, ImageFeature], FeatureTransformer, Transformer[ImageFeature, ImageFeature], Serializable, Serializable, AnyRef, Any
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Inherited
  1. LabelOutput
  2. ImageProcessing
  3. Preprocessing
  4. FeatureTransformer
  5. Transformer
  6. Serializable
  7. Serializable
  8. AnyRef
  9. Any
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Visibility
  1. Public
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Instance Constructors

  1. new LabelOutput(labelMap: Map[Int, String], clses: String = "classes", probs: String = "probs", probAsOutput: Boolean = true)

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    labelMap

    The map of class ID (Integer) and name (String).

    clses

    The key to store names of class labels. Default is "classes".

    probs

    The key to store probabilities of each class. Default is "probs". The result probability array together with the corresponding class name array will be sorted by probabilities in descending order.

    probAsOutput

    Boolean. Whether the prediction output is a probability distribution. Default is true. If false, the output will be first applied with SoftMax.

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 ->(other: ImageProcessing): ImageProcessing

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    Definition Classes
    ImageProcessing

  4. def ->[C](other: Preprocessing[ImageFeature, C]): Preprocessing[ImageFeature, C]

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    Definition Classes
    Preprocessing

  5. def ->[C](other: Transformer[ImageFeature, C]): Transformer[ImageFeature, C]

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    Definition Classes
    FeatureTransformer → Transformer

  6. def ->(other: FeatureTransformer): FeatureTransformer

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    Definition Classes
    FeatureTransformer

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

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    Definition Classes
    AnyRef → Any

  8. def apply(textSet: TextSet): TextSet

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    Definition Classes
    Preprocessing

  9. def apply(imageSet: ImageSet): ImageSet

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    Definition Classes
    Preprocessing

  10. def apply(imageFrame: ImageFrame): ImageFrame

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    Definition Classes
    FeatureTransformer

  11. def apply(prev: Iterator[ImageFeature]): Iterator[ImageFeature]

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    Definition Classes
    FeatureTransformer → Transformer

  12. def apply(dataset: RDD[ImageFeature])(implicit evidence: ClassTag[ImageFeature]): RDD[ImageFeature]

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    Definition Classes
    Transformer

  13. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  14. def clone(): AnyRef

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

  15. def clonePreprocessing(): Preprocessing[ImageFeature, ImageFeature]

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    Definition Classes
    Preprocessing

  16. def cloneTransformer(): Transformer[ImageFeature, ImageFeature]

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    Definition Classes
    Transformer

  17. def enableIgnoreException(): LabelOutput.this.type

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    Definition Classes
    FeatureTransformer

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

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    Definition Classes
    AnyRef

  19. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  20. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  22. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  23. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  25. final def notify(): Unit

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    Definition Classes
    AnyRef

  26. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  27. def setOutKey(key: String): LabelOutput.this.type

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    Definition Classes
    FeatureTransformer

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

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    Definition Classes
    AnyRef

  29. def toString(): String

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    Definition Classes
    AnyRef → Any

  30. def transform(feature: ImageFeature): ImageFeature

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    Definition Classes
    FeatureTransformer

  31. def transformMat(imageFeature: ImageFeature): Unit

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    Definition Classes
    LabelOutput → FeatureTransformer

  32. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from ImageProcessing

Inherited from Preprocessing[ImageFeature, ImageFeature]

Inherited from FeatureTransformer

Inherited from Transformer[ImageFeature, ImageFeature]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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