ml.combust.mleap.core.ann

TopologyModel

trait TopologyModel extends Serializable

Trait for ANN topology model

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FeedForwardModel
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  1. abstract def computeGradient(data: DenseMatrix[Double], target: DenseMatrix[Double], cumGradient: Vector, blockSize: Int): Double

    Computes gradient for the network

    Computes gradient for the network

    data

    input data

    target

    target output

    cumGradient

    cumulative gradient

    blockSize

    block size

    returns

    error

  2. abstract def forward(data: DenseMatrix[Double]): Array[DenseMatrix[Double]]

    Forward propagation

    Forward propagation

    data

    input data

    returns

    array of outputs for each of the layers

  3. abstract val layerModels: Array[LayerModel]

    Array of layer models

  4. abstract val layers: Array[Layer]

    Array of layers

  5. abstract def predict(data: Vector): Vector

    Prediction of the model

    Prediction of the model

    data

    input data

    returns

    prediction

  6. abstract val weights: Vector

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