Class

org.deeplearning4j.spark.datavec

DataVecDataSetFunction

Related Doc: package datavec

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class DataVecDataSetFunction extends Function[List[Writable], DataSet] with Serializable

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Function[List[Writable], DataSet], Serializable, AnyRef, Any
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  1. DataVecDataSetFunction
  2. Function
  3. Serializable
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Instance Constructors

  1. new DataVecDataSetFunction(labelIndexFrom: Int, labelIndexTo: Int, numPossibleLabels: Int, regression: Boolean, preProcessor: DataSetPreProcessor, converter: WritableConverter)

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  2. new DataVecDataSetFunction(labelIndex: Int, numPossibleLabels: Int, regression: Boolean, preProcessor: DataSetPreProcessor, converter: WritableConverter)

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  3. new DataVecDataSetFunction(labelIndex: Int, numPossibleLabels: Int, regression: Boolean)

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Value Members

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

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    AnyRef → Any

  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def call(currList: List[Writable]): DataSet

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    Definition Classes
    DataVecDataSetFunction → Function

  6. def clone(): AnyRef

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

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. final def wait(): Unit

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    @throws( ... )

  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 Function[List[Writable], DataSet]

Inherited from Serializable

Inherited from AnyRef

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