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Registered MLPPDualSVC to the ClassDB.
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@ -254,3 +254,6 @@ std::vector<std::vector<real_t>> MLPPDualSVC::kernel_functionm(std::vector<std::
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return std::vector<std::vector<real_t>>();
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}
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void MLPPDualSVC::_bind_methods() {
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}
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@ -13,10 +13,14 @@
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#include "core/math/math_defs.h"
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#include "core/object/reference.h"
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#include <string>
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#include <vector>
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class MLPPDualSVC {
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class MLPPDualSVC : public Reference {
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GDCLASS(MLPPDualSVC, Reference);
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public:
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std::vector<real_t> model_set_test(std::vector<std::vector<real_t>> X);
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real_t model_test(std::vector<real_t> x);
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@ -33,7 +37,7 @@ public:
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MLPPDualSVC();
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~MLPPDualSVC();
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private:
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protected:
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void init();
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real_t cost(std::vector<real_t> alpha, std::vector<std::vector<real_t>> X, std::vector<real_t> y);
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@ -51,6 +55,8 @@ private:
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real_t kernel_functionv(std::vector<real_t> v, std::vector<real_t> u, std::string kernel);
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std::vector<std::vector<real_t>> kernel_functionm(std::vector<std::vector<real_t>> U, std::vector<std::vector<real_t>> V, std::string kernel);
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static void _bind_methods();
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std::vector<std::vector<real_t>> _input_set;
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std::vector<real_t> _output_set;
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std::vector<real_t> _z;
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@ -29,38 +29,39 @@ SOFTWARE.
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#include "mlpp/activation/activation.h"
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#include "mlpp/cost/cost.h"
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#include "mlpp/gauss_markov_checker/gauss_markov_checker.h"
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#include "mlpp/hypothesis_testing/hypothesis_testing.h"
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#include "mlpp/numerical_analysis/numerical_analysis.h"
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#include "mlpp/regularization/reg.h"
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#include "mlpp/stat/stat.h"
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#include "mlpp/transforms/transforms.h"
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#include "mlpp/utilities/utilities.h"
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#include "mlpp/stat/stat.h"
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#include "mlpp/numerical_analysis/numerical_analysis.h"
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#include "mlpp/hypothesis_testing/hypothesis_testing.h"
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#include "mlpp/gauss_markov_checker/gauss_markov_checker.h"
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#include "mlpp/hidden_layer/hidden_layer.h"
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#include "mlpp/multi_output_layer/multi_output_layer.h"
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#include "mlpp/output_layer/output_layer.h"
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#include "mlpp/auto_encoder/auto_encoder.h"
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#include "mlpp/exp_reg/exp_reg.h"
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#include "mlpp/gan/gan.h"
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#include "mlpp/gaussian_nb/gaussian_nb.h"
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#include "mlpp/kmeans/kmeans.h"
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#include "mlpp/knn/knn.h"
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#include "mlpp/lin_reg/lin_reg.h"
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#include "mlpp/log_reg/log_reg.h"
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#include "mlpp/mann/mann.h"
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#include "mlpp/mlp/mlp.h"
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#include "mlpp/multinomial_nb/multinomial_nb.h"
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#include "mlpp/outlier_finder/outlier_finder.h"
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#include "mlpp/pca/pca.h"
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#include "mlpp/probit_reg/probit_reg.h"
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#include "mlpp/softmax_net/softmax_net.h"
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#include "mlpp/softmax_reg/softmax_reg.h"
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#include "mlpp/svc/svc.h"
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#include "mlpp/tanh_reg/tanh_reg.h"
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#include "mlpp/uni_lin_reg/uni_lin_reg.h"
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#include "mlpp/wgan/wgan.h"
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#include "mlpp/tanh_reg/tanh_reg.h"
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#include "mlpp/softmax_net/softmax_net.h"
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#include "mlpp/mlp/mlp.h"
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#include "mlpp/multinomial_nb/multinomial_nb.h"
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#include "mlpp/mann/mann.h"
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#include "mlpp/log_reg/log_reg.h"
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#include "mlpp/lin_reg/lin_reg.h"
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#include "mlpp/gaussian_nb/gaussian_nb.h"
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#include "mlpp/gan/gan.h"
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#include "mlpp/exp_reg/exp_reg.h"
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#include "mlpp/dual_svc/dual_svc.h"
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#include "test/mlpp_tests.h"
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@ -104,6 +105,7 @@ void register_pmlpp_types(ModuleRegistrationLevel p_level) {
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ClassDB::register_class<MLPPGaussianNB>();
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ClassDB::register_class<MLPPGAN>();
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ClassDB::register_class<MLPPExpReg>();
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ClassDB::register_class<MLPPDualSVC>();
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ClassDB::register_class<MLPPDataESimple>();
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ClassDB::register_class<MLPPDataSimple>();
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