@Test public void testGetWeightsDecayCost(){ assertEquals("Weights decay cost term returend by the algorithm is not as expected.", WEIGHTS_DECAY_COST, algorithm.getWeightsDecayCost(), 0); }
public double getWeightsDecayCost() { return weightsDecayCost; }
BPMLLAlgorithm { public double getWeightsDecayCost() { return weightsDecayCost; } }
BPMLLAlgorithm { public double getWeightsDecayCost() { return weightsDecayCost; } BPMLLAlgorithm(NeuralNet neuralNet, double weightsDecayCost); }
BPMLLAlgorithm { public double getWeightsDecayCost() { return weightsDecayCost; } BPMLLAlgorithm(NeuralNet neuralNet, double weightsDecayCost); NeuralNet getNetwork(); double getWeightsDecayCost(); double learn(double[] inputPattern, double[] expectedLabels, double learningRate); double getNetworkError(double[] inputPattern, double[] expectedLabels); }
BPMLLAlgorithm { public double getWeightsDecayCost() { return weightsDecayCost; } BPMLLAlgorithm(NeuralNet neuralNet, double weightsDecayCost); NeuralNet getNetwork(); double getWeightsDecayCost(); double learn(double[] inputPattern, double[] expectedLabels, double learningRate); double getNetworkError(double[] inputPattern, double[] expectedLabels);  }