com.intel.analytics.bigdl.example.imageclassification.MlUtils

DfPoint

case class DfPoint(features: DenseVector, imageName: String) extends Product with Serializable

It is used to store single data frame information

features

extracted features after the transformers

imageName

image name

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Serializable, Serializable, Product, Equals, AnyRef, Any
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Instance Constructors

  1. new DfPoint(features: DenseVector, imageName: String)

    features

    extracted features after the transformers

    imageName

    image name

Value Members

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

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

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  3. final def ##(): Int

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

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

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  7. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

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

    Definition Classes
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  9. val features: DenseVector

    extracted features after the transformers

  10. def finalize(): Unit

    Attributes
    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
    AnyRef → Any

  12. val imageName: String

    image name

  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. final def wait(): Unit

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

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