Object

org.platanios.tensorflow.data

XCLoader

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object XCLoader extends Loader

Loader for datasets obtained from the Extreme Classification Repository.

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Type Members

  1. case class Data[TL[D <: DataType] <: TensorLike[D]](features: TL[FLOAT32], labels: TL[BOOLEAN]) extends Product with Serializable

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  2. sealed trait DatasetType extends AnyRef

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  3. case class LargeDataset[TL[D <: DataType] <: TensorLike[D]](datasetType: LargeDatasetType, data: SplitData[TL]) extends Product with Serializable

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  4. sealed trait LargeDatasetType extends DatasetType

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  5. case class SmallDataset[TL[D <: DataType] <: TensorLike[D]](datasetType: SmallDatasetType, data: Data[TL], splits: Seq[Split]) extends Product with Serializable

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  6. sealed trait SmallDatasetType extends DatasetType

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  7. case class Split(trainIndices: Seq[Int], testIndices: Seq[Int]) extends Product with Serializable

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  8. case class SplitData[TL[D <: DataType] <: TensorLike[D]](trainData: Data[TL], testData: Data[TL]) extends Product with Serializable

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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. object BIBTEX extends SmallDatasetType with Product with Serializable

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  5. object DELICIOUS extends SmallDatasetType with Product with Serializable

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  6. object EURLEX extends LargeDatasetType with Product with Serializable

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  7. object MEDIAMILL extends SmallDatasetType with Product with Serializable

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  8. final def asInstanceOf[T0]: T0

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  9. def clone(): AnyRef

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

  10. def download(path: Path, url: String, bufferSize: Int = 8192): Unit

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    Attributes
    protected
    Definition Classes
    Loader

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

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  12. def equals(arg0: Any): Boolean

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  13. def finalize(): Unit

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

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

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  15. val googleDriveConfirmTokenRegex: Regex

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    Attributes
    protected
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    Loader

  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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  18. def labelPropensityScores(dataset: SmallDataset[Tensor]): Tensor[FLOAT32]

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  19. def loadLargeDense(path: Path, datasetType: LargeDatasetType, bufferSize: Int = 8192): LargeDataset[Tensor]

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  20. def loadLargeSparse(path: Path, datasetType: LargeDatasetType, bufferSize: Int = 8192): LargeDataset[SparseTensor]

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  21. def loadSmallDense(path: Path, datasetType: SmallDatasetType, bufferSize: Int = 8192): SmallDataset[Tensor]

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  22. def loadSmallSparse(path: Path, datasetType: SmallDatasetType, bufferSize: Int = 8192): SmallDataset[SparseTensor]

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  23. val logger: Logger

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    Attributes
    protected
    Definition Classes
    XCLoader → Loader

  24. def maybeDownload(path: Path, url: String, bufferSize: Int = 8192): Boolean

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    Definition Classes
    Loader

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

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  26. final def notify(): Unit

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  27. final def notifyAll(): Unit

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

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  29. def toString(): String

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  30. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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    @throws( ... )

Inherited from Loader

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