Class

com.tencent.angel.ml.core.network.layers.verge

Embedding

Related Doc: package verge

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class Embedding extends InputLayer with Trainable

Linear Supertypes
Trainable, InputLayer, Layer, Serializable, Serializable, AnyRef, Any
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Inherited
  1. Embedding
  2. Trainable
  3. InputLayer
  4. Layer
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new Embedding(name: String, outputDim: Int, numFactors: Int, optimizer: Optimizer)(implicit graph: AngelGraph)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. val LOG: Log

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  5. def addConsumer(layer: Layer): Unit

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    Definition Classes
    Layer

  6. def addInput(layer: Layer): Unit

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    Definition Classes
    Layer

  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  8. var backward: Matrix

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  9. val blockSize: Int

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  10. def calBackward(): Matrix

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    Definition Classes
    Embedding → InputLayer

  11. def calOutput(): Matrix

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    Definition Classes
    Embedding → Layer

  12. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  13. val consumer: ListBuffer[Layer]

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    Definition Classes
    Layer

  14. var embeddings: Map[Long, Vector]

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

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    Definition Classes
    AnyRef

  16. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  17. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  18. var forward: Matrix

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  19. def gatherGrad(): Matrix

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    Definition Classes
    Layer

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

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    Definition Classes
    AnyRef → Any

  21. implicit val graph: AngelGraph

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    Definition Classes
    Layer

  22. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  23. def init(taskflag: Int): Unit

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    Definition Classes
    Embedding → Trainable

  24. val input: ListBuffer[Layer]

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    Definition Classes
    Layer

  25. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  26. def loadParams(loadContext: ModelLoadContext): Unit

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    Definition Classes
    Embedding → Trainable

  27. lazy val matrixId: Int

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  28. def mergeUpdate(map: Map[Long, Vector], key: Long, update: Vector, value: Double): Unit

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  29. val mode: RunningMode

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  30. val modelType: RowType

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  31. val name: String

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    Definition Classes
    Layer

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

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    Definition Classes
    AnyRef

  33. final def notify(): Unit

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    Definition Classes
    AnyRef

  34. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  35. val numFactors: Int

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  36. val optimizer: Optimizer

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    Definition Classes
    Embedding → Trainable

  37. val outputDim: Int

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    Definition Classes
    Layer

  38. def pullParams(epoch: Int): Unit

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    Definition Classes
    Embedding → Trainable

  39. def pushGradient(): Unit

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    Definition Classes
    Embedding → Trainable

  40. def saveParams(saveContext: ModelSaveContext): Unit

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    Definition Classes
    Embedding → Trainable

  41. val sharedConf: SharedConf

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  42. var status: STATUS.Value

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    Definition Classes
    Layer

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

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    Definition Classes
    AnyRef

  44. def toJson: JObject

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    Definition Classes
    Embedding → Layer

  45. def toString(): String

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    Definition Classes
    Embedding → AnyRef → Any

  46. def update(epoch: Int, batchSize: Int): Future[VoidResult]

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    Definition Classes
    Embedding → Trainable

  47. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Trainable

Inherited from InputLayer

Inherited from Layer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped