Trait

ml.combust.mleap.core.ann

Layer

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trait Layer extends Serializable

Trait that holds Layer properties, that are needed to instantiate it. Implements Layer instantiation.

Linear Supertypes
Serializable, Serializable, AnyRef, Any
Known Subclasses
AffineLayer, FunctionalLayer, SigmoidLayerWithSquaredError, SoftmaxLayerWithCrossEntropyLoss
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  1. Layer
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Visibility
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Abstract Value Members

  1. abstract def createModel(initialWeights: DenseVector[Double]): LayerModel

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    Returns the instance of the layer based on weights provided.

    Returns the instance of the layer based on weights provided. Size of weights must be equal to weightSize

    initialWeights

    vector with layer weights

    returns

    the layer model

  2. abstract def getOutputSize(inputSize: Int): Int

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    Returns the output size given the input size (not counting the stack size).

    Returns the output size given the input size (not counting the stack size). Output size is used to allocate memory for the output.

    inputSize

    input size

    returns

    output size

  3. abstract val inPlace: Boolean

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    If true, the memory is not allocated for the output of this layer.

    If true, the memory is not allocated for the output of this layer. The memory allocated to the previous layer is used to write the output of this layer. Developer can set this to true if computing delta of a previous layer does not involve its output, so the current layer can write there. This also mean that both layers have the same number of outputs.

  4. abstract def initModel(weights: DenseVector[Double], random: Random): LayerModel

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    Returns the instance of the layer with random generated weights.

    Returns the instance of the layer with random generated weights.

    weights

    vector for weights initialization, must be equal to weightSize

    random

    random number generator

    returns

    the layer model

  5. abstract val weightSize: Int

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    Number of weights that is used to allocate memory for the weights vector

Concrete 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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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

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  16. def toString(): String

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  17. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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