getInputLayerNeurons method

List<Neuron> getInputLayerNeurons({ required String className, })

Gets the input layer neurons by excluding the provided class attribute className.

This method removes the attribute with the name className from the attributesList and creates a Neuron for each remaining attribute. If the attribute type is 'nominal', it creates a neuron for each nominal value. Otherwise, it creates a neuron with the attribute name. Throws OutputLayerNameError if an error occurs.

• Parameters:

  • className: The name of the class attribute to exclude.

• Returns: A list of Neurons representing the input layer.

Implementation

List<Neuron> getInputLayerNeurons({required String className}) {
  try {
    List<Neuron> neurons = [];
    List<ARFFAttributes> attributes = [];
    attributes.addAll(attributesList);
    attributes.removeWhere((attr) => attr.name == className);
    for (ARFFAttributes attribute in attributes) {
      if (attribute.type == 'nominal') {
        for (String name in attribute.nominalValues!) {
          neurons.add(Neuron(name: name));
        }
      } else {
        neurons.add(Neuron(name: attribute.name));
      }
    }
    return neurons;
  } catch (exception) {
    throw OutputLayerNameError();
  }
}