/// <summary>
/// clears memmory for param_ptr
/// </summary>
/// <param name="sample_node_ptr"></param>
private void Free_svm_parameter_ptr(ref IntPtr parameter_ptr)
{
svm_parameter parameter = (svm_parameter)Marshal.PtrToStructure(parameter_ptr, typeof(svm_parameter));
Free_ptr(ref parameter.weight);
Free_ptr(ref parameter.weight_label);
Free_ptr(ref parameter_ptr);
}
private IntPtr libSVM_Parameter_to_svm_parameter_ptr(libSVM_Parameter _parameter)
{
if (_parameter == null)
{
throw new Exception("libSVMParameter not initialized");
}
if (_parameter.weight == null && _parameter.weight_label != null)
{
throw new Exception("libSVMParameter.weight = null and libSVMParameter.weight_label != null");
}
if (_parameter.weight != null && _parameter.weight_label == null)
{
throw new Exception("libSVMParameter.weight_label = null and libSVMParameter.weight != null");
}
if (_parameter.weight != null && _parameter.weight_label != null && _parameter.weight_label.Length != _parameter.weight.Length)
{
throw new Exception("libSVMParameter.weight_label.Length != libSVMParameter.weight.Length");
}
svm_parameter parameter = new svm_parameter();
parameter.C = _parameter.C;
parameter.cache_size = _parameter.cache_size;
parameter.coef0 = _parameter.coef0;
parameter.degree = _parameter.degree;
parameter.eps = _parameter.eps;
parameter.gamma = _parameter.gamma;
parameter.kernel_type = (int)_parameter.kernel_type;
parameter.nr_weight = _parameter.weight.Length;
parameter.nu = _parameter.nu;
parameter.p = _parameter.p;
parameter.probability = _parameter.probability;
parameter.shrinking = _parameter.shrinking;
parameter.svm_type = (int)_parameter.svm_type;
parameter.weight = array_to_ptr(_parameter.weight);
parameter.weight_label = array_to_ptr(_parameter.weight_label);
IntPtr parameter_ptr = Alloc_ptr(Marshal.SizeOf(typeof(svm_parameter)));
Marshal.StructureToPtr(parameter, parameter_ptr, false);
return(parameter_ptr);
}