/// <summary>
/// 現在の SVM パラメータを返す
/// </summary>
/// <returns></returns>
#else
/// <summary>
/// Returns current SVM parameters
/// </summary>
/// <returns></returns>
#endif
public CvSVMParams GetParams()
{
WCvSVMParams p = new WCvSVMParams();
MLInvoke.CvSVM_get_params(ptr, ref p);
return new CvSVMParams(p);
}
/// <summary>
/// 既定の初期化
/// </summary>
#else
/// <summary>
/// Default constructor
/// </summary>
#endif
public CvSVMParams()
{
_data = new WCvSVMParams();
MLInvoke.CvSVMParams_construct_default(ref _data);
}
/// <summary>
/// 初期化
/// </summary>
/// <param name="_svm_type">SVMの種類</param>
/// <param name="_kernel_type">SVMカーネルの種類</param>
/// <param name="_degree">poly 用</param>
/// <param name="_gamma">poly/rbf/sigmoid 用</param>
/// <param name="_coef0">poly/sigmoid 用</param>
/// <param name="_C">SVMType.CSvc, SVMType.EpsSvr, SVMType.NuSvr 用</param>
/// <param name="_nu">SVMType.NuSvc, SVMType.OneClass, SVMType.NuSvr 用</param>
/// <param name="p">SVMType.EpsSvr 用</param>
/// <param name="_class_weights">SVMType.CSvc 用</param>
/// <param name="_term_crit">終了条件</param>
#else
/// <summary>
/// Constructor
/// </summary>
/// <param name="_svm_type">Type of SVM</param>
/// <param name="_kernel_type">The kernel type</param>
/// <param name="_degree">for poly</param>
/// <param name="_gamma">for poly/rbf/sigmoid</param>
/// <param name="_coef0">for poly/sigmoid</param>
/// <param name="_C">for SVMType.CSvc, SVMType.EpsSvr and SVMType.NuSvr</param>
/// <param name="_nu">for SVMType.NuSvc, SVMType.OneClass and SVMType.NuSvr</param>
/// <param name="_p">for SVMType.EpsSvr</param>
/// <param name="_class_weights">for SVMType.CSvc</param>
/// <param name="_term_crit">Termination criteria</param>
#endif
public CvSVMParams(SVMType _svm_type, SVMKernelType _kernel_type, double _degree, double _gamma, double _coef0,
double _C, double _nu, double _p, CvMat _class_weights, CvTermCriteria _term_crit )
{
_data = new WCvSVMParams();
IntPtr _class_weights_ptr = (_class_weights == null) ? IntPtr.Zero : _class_weights.CvPtr;
MLInvoke.CvSVMParams_construct(ref _data, (int)_svm_type, (int)_kernel_type, _degree, _gamma, _coef0, _C, _nu, _p, _class_weights_ptr, _term_crit);
}
public static extern void CvSVM_get_params(IntPtr model, ref WCvSVMParams p);
/// <summary>
///
/// </summary>
/// <param name="data"></param>
internal CvSVMParams(WCvSVMParams data)
{
_data = data;
}
public static extern bool CvSVM_train_auto(IntPtr model, IntPtr _train_data, IntPtr _responses, IntPtr _var_idx, IntPtr _sample_idx, WCvSVMParams _params,
int k_fold, CvParamGrid C_grid, CvParamGrid gamma_grid, CvParamGrid p_grid, CvParamGrid nu_grid, CvParamGrid coef_grid, CvParamGrid degree_grid);
public static extern bool CvSVM_train(IntPtr model, IntPtr _train_data, IntPtr _responses, IntPtr _var_idx, IntPtr _sample_idx, WCvSVMParams _params);
public static extern IntPtr CvSVM_construct_training(IntPtr _train_data, IntPtr _responses, IntPtr _var_idx, IntPtr _sample_idx, WCvSVMParams _params);
public static extern void CvSVMParams_construct(ref WCvSVMParams p, int _svm_type, int _kernel_type, double _degree, double _gamma, double _coef0,
double _C, double _nu, double _p, IntPtr _class_weights, CvTermCriteria _term_crit);
public static extern void CvSVMParams_construct_default(ref WCvSVMParams p);
