internal static NativeMethods.MlpKernelType ToNativeMlpKernelType(this MultilayerPerceptronKernelType type)
{
switch (type)
{
case MultilayerPerceptronKernelType.Kernel1:
return(NativeMethods.MlpKernelType.Kernel1);
default:
throw new ArgumentOutOfRangeException(nameof(type), type, null);
}
}
/// <summary>
/// Initializes a new instance of the <see cref="MultilayerPerceptron{T}"/> class with the specified nodes of input layer, nodes of first hidden layer, nodes of second hidden layer, nodes of output layer, alpha and momentum.
/// </summary>
/// <param name="nodesInInputLayer">The number of nodes for input layer.</param>
/// <param name="nodesInFirstHiddenLayer">The number of nodes for first hidden layer.</param>
/// <param name="nodesInSecondHiddenLayer">The number of nodes for second hidden layer.</param>
/// <param name="nodesInOutputLayer">The number of nodes for output layer.</param>
/// <param name="alpha">The learning rate. The default value is 0.1.</param>
/// <param name="momentum">The momentum. The default value is 0.8.</param>
/// <exception cref="NotSupportedException">The specified type of kernel does not supported.</exception>
public MultilayerPerceptron(int nodesInInputLayer,
int nodesInFirstHiddenLayer,
int nodesInSecondHiddenLayer = 0,
int nodesInOutputLayer = 1,
double alpha = 0.1,
double momentum = 0.8)
{
if (!SupportTypes.TryGetValue(typeof(T), out var type))
{
throw new NotSupportedException($"{typeof(T).Name} does not support");
}
this._MultilayerPerceptronKernelType = type;
var native = type.ToNativeMlpKernelType();
this.NativePtr = NativeMethods.mlp_kernel_new(native,
nodesInInputLayer,
nodesInFirstHiddenLayer,
nodesInSecondHiddenLayer,
nodesInOutputLayer,
alpha,
momentum);
}
