com.intel.analytics.bigdl.dataset

CachedDistriDataSet

class CachedDistriDataSet[T] extends DistributedDataSet[T]

Wrap a RDD as a DataSet.

T

Linear Supertypes
DistributedDataSet[T], AbstractDataSet[T, RDD[T]], AnyRef, Any
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  1. CachedDistriDataSet
  2. DistributedDataSet
  3. AbstractDataSet
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  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. def ->[C](transformer: Transformer[T, C])(implicit arg0: ClassTag[C]): DataSet[C]

    Helper function to transform the data type in the data set.

    Helper function to transform the data type in the data set.

    C
    transformer
    returns

    Definition Classes
    AbstractDataSet
  5. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  6. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  8. def cache(): Unit

    Trigger the computation of this dataset and cache it in memory.

    Trigger the computation of this dataset and cache it in memory.

    Definition Classes
    CachedDistriDataSetDistributedDataSet
  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. lazy val count: Long

    Attributes
    protected
  11. def data(train: Boolean): RDD[T]

    Get a sequence of data

    Get a sequence of data

    train

    if the data is used in train. If yes, the data sequence is a looped endless sequence, or it has a limited length.

    returns

    data sequence

    Definition Classes
    CachedDistriDataSetAbstractDataSet
  12. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  14. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  16. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  17. var indexes: RDD[Array[Int]]

    Attributes
    protected
  18. var isCached: Boolean

    Check if rdd is cached.

    Check if rdd is cached.

    Definition Classes
    DistributedDataSet
  19. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  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. def originRDD(): RDD[_]

    Get the 'origin' RDD of the dataset.

    Get the 'origin' RDD of the dataset.

    returns

    Definition Classes
    CachedDistriDataSetDistributedDataSet
  24. def shuffle(): Unit

    Change the order of the data sequence from the data set

    Change the order of the data sequence from the data set

    Definition Classes
    CachedDistriDataSetAbstractDataSet
  25. def size(): Long

    Total size of the data set

    Total size of the data set

    returns

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

    Definition Classes
    AnyRef
  27. def toDistributed(): DistributedDataSet[T]

    Convert current DataSet to a distributed DataSet, in which we use a RDD to represent the data sequence.

    Convert current DataSet to a distributed DataSet, in which we use a RDD to represent the data sequence.

    returns

    Definition Classes
    AbstractDataSet
  28. def toLocal(): LocalDataSet[T]

    Convert current DataSet to a local DataSet, in which we use an iterator to represent the data sequence.

    Convert current DataSet to a local DataSet, in which we use an iterator to represent the data sequence.

    returns

    Definition Classes
    AbstractDataSet
  29. def toString(): String

    Definition Classes
    AnyRef → Any
  30. def transform[C](transformer: Transformer[T, C])(implicit arg0: ClassTag[C]): DataSet[C]

    Helper function to transform the data type in the data set.

    Helper function to transform the data type in the data set.

    C
    transformer
    returns

    Definition Classes
    DistributedDataSetAbstractDataSet
  31. def unpersist(): Unit

    Unpersist rdd.

    Unpersist rdd.

    Definition Classes
    CachedDistriDataSetDistributedDataSet
  32. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from DistributedDataSet[T]

Inherited from AbstractDataSet[T, RDD[T]]

Inherited from AnyRef

Inherited from Any

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