@Test(expected = IllegalArgumentException.class) public void testAddAllNeuronsWithNull(){ neuron.addAllNeurons(null); }
public boolean addAllNeurons(Collection<Neuron> neurons) { if (neurons == null) { throw new IllegalArgumentException("Neurons collection should not be null."); } Neuron[] items = neurons.toArray(new Neuron[0]); boolean nothingAdded = true; for (Neuron item : items) { nothingAdded &= !this.addNeuron(item); } return !nothingAdded; }
Neuron implements Serializable { public boolean addAllNeurons(Collection<Neuron> neurons) { if (neurons == null) { throw new IllegalArgumentException("Neurons collection should not be null."); } Neuron[] items = neurons.toArray(new Neuron[0]); boolean nothingAdded = true; for (Neuron item : items) { nothingAdded &= !this.addNeuron(item); } return !nothingAdded; } }
Neuron implements Serializable { public boolean addAllNeurons(Collection<Neuron> neurons) { if (neurons == null) { throw new IllegalArgumentException("Neurons collection should not be null."); } Neuron[] items = neurons.toArray(new Neuron[0]); boolean nothingAdded = true; for (Neuron item : items) { nothingAdded &= !this.addNeuron(item); } return !nothingAdded; } Neuron(final ActivationFunction function, int inputDim, double biasValue);  Neuron(final ActivationFunction function, int inputDim, double biasValue, final Random random);  Neuron(final ActivationFunction function, int inputDim, double biasValue, final Collection<Neuron> nextNeurons); }
Neuron implements Serializable { public boolean addAllNeurons(Collection<Neuron> neurons) { if (neurons == null) { throw new IllegalArgumentException("Neurons collection should not be null."); } Neuron[] items = neurons.toArray(new Neuron[0]); boolean nothingAdded = true; for (Neuron item : items) { nothingAdded &= !this.addNeuron(item); } return !nothingAdded; } Neuron(final ActivationFunction function, int inputDim, double biasValue);  Neuron(final ActivationFunction function, int inputDim, double biasValue, final Random random);  Neuron(final ActivationFunction function, int inputDim, double biasValue, final Collection<Neuron> nextNeurons); ActivationFunction getActivationFunction(); double[] getWeights(); double getError(); void setError(double error); double[] getDeltas(); double processInput(final double[] inputs); double getOutput(); double getNeuronInput(); double getBiasInput(); boolean addNeuron(Neuron neuron); boolean addAllNeurons(Collection<Neuron> neurons); boolean removeNeuron(Neuron neuron); void reset(); }
Neuron implements Serializable { public boolean addAllNeurons(Collection<Neuron> neurons) { if (neurons == null) { throw new IllegalArgumentException("Neurons collection should not be null."); } Neuron[] items = neurons.toArray(new Neuron[0]); boolean nothingAdded = true; for (Neuron item : items) { nothingAdded &= !this.addNeuron(item); } return !nothingAdded; } Neuron(final ActivationFunction function, int inputDim, double biasValue);  Neuron(final ActivationFunction function, int inputDim, double biasValue, final Random random);  Neuron(final ActivationFunction function, int inputDim, double biasValue, final Collection<Neuron> nextNeurons); ActivationFunction getActivationFunction(); double[] getWeights(); double getError(); void setError(double error); double[] getDeltas(); double processInput(final double[] inputs); double getOutput(); double getNeuronInput(); double getBiasInput(); boolean addNeuron(Neuron neuron); boolean addAllNeurons(Collection<Neuron> neurons); boolean removeNeuron(Neuron neuron); void reset();  }