Examples of copyVector()

Examples of aima.core.util.math.Vector.copyVector()

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    Vector inducedFieldVector = new Vector(numberOfNeurons());
    for (int i = 0; i < numberOfNeurons(); i++) {
      inducedFieldVector.setValue(i, inducedField.get(i, 0));
    }

    lastInducedField = inducedFieldVector.copyVector();
    Vector resultVector = new Vector(numberOfNeurons());
    for (int i = 0; i < numberOfNeurons(); i++) {
      resultVector.setValue(i, activationFunction
          .activation(inducedFieldVector.getValue(i)));
    }
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Examples of aima.core.util.math.Vector.copyVector()

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    for (int i = 0; i < numberOfNeurons(); i++) {
      resultVector.setValue(i, activationFunction
          .activation(inducedFieldVector.getValue(i)));
    }
    // set the result as the last activation value
    lastActivationValues = resultVector.copyVector();
    return resultVector;
  }

  public Matrix getWeightMatrix() {
    return weightMatrix;
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Examples of aima.core.util.math.Vector.copyVector()

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    Vector result = new Vector(
        biasUpdateMatrixWithMomentum.getRowDimension());
    for (int i = 0; i < biasUpdateMatrixWithMomentum.getRowDimension(); i++) {
      result.setValue(i, biasUpdateMatrixWithMomentum.get(i, 0));
    }
    layer.acceptNewBiasUpdate(result.copyVector());
    return result;
  }

  public static Vector calculateBiasUpdates(
      LayerSensitivity layerSensitivity, double alpha) {
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Examples of aima.core.util.math.Vector.copyVector()

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    Vector result = new Vector(biasUpdateMatrix.getRowDimension());
    for (int i = 0; i < biasUpdateMatrix.getRowDimension(); i++) {
      result.setValue(i, biasUpdateMatrix.get(i, 0));
    }
    layer.acceptNewBiasUpdate(result.copyVector());
    return result;
  }
}
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Examples of aima.core.util.math.Vector.copyVector()

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    Vector inducedFieldVector = new Vector(numberOfNeurons());
    for (int i = 0; i < numberOfNeurons(); i++) {
      inducedFieldVector.setValue(i, inducedField.get(i, 0));
    }

    lastInducedField = inducedFieldVector.copyVector();
    Vector resultVector = new Vector(numberOfNeurons());
    for (int i = 0; i < numberOfNeurons(); i++) {
      resultVector.setValue(i, activationFunction
          .activation(inducedFieldVector.getValue(i)));
    }
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Examples of aima.core.util.math.Vector.copyVector()

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    for (int i = 0; i < numberOfNeurons(); i++) {
      resultVector.setValue(i, activationFunction
          .activation(inducedFieldVector.getValue(i)));
    }
    // set the result as the last activation value
    lastActivationValues = resultVector.copyVector();
    return resultVector;
  }

  public Matrix getWeightMatrix() {
    return weightMatrix;
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