Exemple #1
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 public void copy(SVC rhs)
 {
     _param           = rhs._param == null ? null : (SVMParam)rhs._param.Clone();
     _crossValidation = rhs._crossValidation;
     model            = rhs.model == null ? null : (SVMModel)rhs.model.Clone();
     quiet            = rhs.quiet;
 }
Exemple #2
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 public void Copy(SVR rhs)
 {
     _param           = rhs._param == null ? null : (SVMParam)rhs._param.Clone();
     _crossValidation = rhs._crossValidation;
     _model           = rhs._model == null ? null : (SVMModel)rhs._model.Clone();
     if (_model != null)
     {
         _model.Param = _param;
     }
     _isQuiet = rhs._isQuiet;
 }
Exemple #3
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 public void copy(OneClassSVM rhs2)
 {
     param            = rhs2.param == null ? null : (SVMParam)rhs2.param.Clone();
     cross_validation = rhs2.cross_validation;
     quiet            = rhs2.quiet;
     _threshold       = rhs2._threshold;
     model            = rhs2.model == null ? null : (SVMModel)rhs2.model.Clone();
     if (model != null)
     {
         model.Param = param;
     }
 }
Exemple #4
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        public OneClassSVM()
        {
            param = new SVMParam();
            // default values
            param.SVMType               = SVMParam.SVM_TYPE_ONE_CLASS;
            param.KernelType            = SVMParam.KERNEL_TYPE_RBF;
            param.Degree                = 3;
            param.Gamma                 = 0; // 1/num_features
            param.Coef0                 = 0;
            param.nu                    = 0.5;
            param.CacheSizeInMB         = 100;
            param.C                     = 1;
            param.Epsilon               = 1e-3;
            param.p                     = 0.1;
            param.UseShrinkingHeuristic = true;
            param.DoProbabilityEstimate = false;
            param.NumberWeight          = 0;
            param.WeightLabel           = new int[0];
            param.Weight                = new double[0];
            cross_validation            = 0;

            libsvm.SVM.svm_set_print_string_function(new svm_print_null());
            quiet = true;
        }
Exemple #5
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        private void init()
        {
            _param = new SVMParam();
            // default values
            _param.SVMType               = SVMParam.SVM_TYPE_C_SVC;
            _param.KernelType            = SVMParam.KERNEL_TYPE_RBF;
            _param.Degree                = 3;
            _param.Gamma                 = 0; // 1/num_features
            _param.Coef0                 = 0;
            _param.nu                    = 0.5;
            _param.CacheSizeInMB         = 100;
            _param.C                     = 1;
            _param.Epsilon               = 1e-3;
            _param.p                     = 0.1;
            _param.UseShrinkingHeuristic = true;
            _param.DoProbabilityEstimate = false;
            _param.NumberWeight          = 0;
            _param.WeightLabel           = new int[0];
            _param.Weight                = new double[0];
            _crossValidation             = false;

            libsvm.SVM.svm_set_print_string_function(null);
            quiet = false;
        }
Exemple #6
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 public void SetConfig(SVMParam parameters)
 {
     this._param = parameters;
 }
Exemple #7
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 public void setParameters(SVMParam parameters)
 {
     this._param = parameters;
 }