c

com.intel.analytics.bigdl.dataset

CachedDistriDataSet

class CachedDistriDataSet[T] extends DistributedDataSet[T]

Wrap a RDD as a DataSet.

Linear Supertypes
DistributedDataSet[T], AbstractDataSet[T, RDD[T]], AnyRef, Any
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Inherited
  1. CachedDistriDataSet
  2. DistributedDataSet
  3. AbstractDataSet
  4. AnyRef
  5. Any
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Visibility
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Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. 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.

    Definition Classes
    AbstractDataSet
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. 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
  7. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  8. lazy val count: Long
    Attributes
    protected
  9. 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
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. var indexes: RDD[Array[Int]]
    Attributes
    protected
  16. val isCached: Boolean

    Check if rdd is cached.

    Check if rdd is cached.

    Definition Classes
    DistributedDataSet
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. def originRDD(): RDD[_]

    Get the 'origin' RDD of the dataset.

    Get the 'origin' RDD of the dataset.

    Definition Classes
    CachedDistriDataSetDistributedDataSet
  22. 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
  23. def size(): Long

    Total size of the data set

    Total size of the data set

    Definition Classes
    CachedDistriDataSetAbstractDataSet
  24. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  25. 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.

    Definition Classes
    AbstractDataSet
  26. 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.

    Definition Classes
    AbstractDataSet
  27. def toString(): String
    Definition Classes
    AnyRef → Any
  28. 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.

    Definition Classes
    DistributedDataSetAbstractDataSet
  29. def unpersist(): Unit

    Unpersist rdd.

    Unpersist rdd.

    Definition Classes
    CachedDistriDataSetDistributedDataSet
  30. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  31. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  32. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )

Inherited from DistributedDataSet[T]

Inherited from AbstractDataSet[T, RDD[T]]

Inherited from AnyRef

Inherited from Any

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