Object

ml.dmlc.mxnet

IO

Related Doc: package mxnet

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object IO

IO iterators for loading training & validation data

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Type Members

  1. type IterCreateFunc = (Map[String, String]) ⇒ DataIter

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  2. type PackCreateFunc = (Map[String, String]) ⇒ DataPack

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Value Members

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

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  2. final def ##(): Int

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

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  4. def CSVIter: IterCreateFunc

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  5. def CSVPack: PackCreateFunc

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  6. def ImageRecodePack: PackCreateFunc

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  7. def ImageRecordIter: IterCreateFunc

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  8. def MNISTIter: IterCreateFunc

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  9. def MNISTPack: PackCreateFunc

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  10. final def asInstanceOf[T0]: T0

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  11. def clone(): AnyRef

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  12. def createIterator(iterName: String, params: Map[String, String]): DataIter

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    create iterator via iterName and params

    create iterator via iterName and params

    iterName

    name of iterator; "MNISTIter" or "ImageRecordIter"

    params

    parameters for create iterator

    returns

    created data iterator

  13. def createMXDataPack(iterName: String)(params: Map[String, String]): DataPack

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    create dataPack for iterator via itername and params

    create dataPack for iterator via itername and params

    iterName

    name of iterator: "MNISTIter" or "ImageRecordIter"

    params

    parameters for create iterator

    returns

    created dataPack

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

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  15. def equals(arg0: Any): Boolean

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  16. def finalize(): Unit

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

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  18. def hashCode(): Int

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  19. final def isInstanceOf[T0]: Boolean

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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