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Registered MLPPLinAlg into the ClassDB, and fixed all of it's warnings.
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@ -12,13 +12,17 @@
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#include "core/math/math_defs.h"
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#include "core/object/reference.h"
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#include "../lin_alg/mlpp_matrix.h"
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#include "../lin_alg/mlpp_vector.h"
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#include <tuple>
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#include <vector>
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class MLPPLinAlg {
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class MLPPLinAlg : public Reference {
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GDCLASS(MLPPLinAlg, Reference);
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public:
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// MATRIX FUNCTIONS
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@ -326,7 +330,8 @@ public:
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std::vector<std::vector<std::vector<real_t>>> vector_wise_tensor_product(std::vector<std::vector<std::vector<real_t>>> A, std::vector<std::vector<real_t>> B);
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private:
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protected:
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static void _bind_methods();
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};
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#endif /* LinAlg_hpp */
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@ -32,6 +32,7 @@ SOFTWARE.
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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/lin_alg/lin_alg.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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@ -84,6 +85,7 @@ void register_pmlpp_types(ModuleRegistrationLevel p_level) {
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ClassDB::register_class<MLPPHypothesisTesting>();
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ClassDB::register_class<MLPPGaussMarkovChecker>();
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ClassDB::register_class<MLPPConvolutions>();
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ClassDB::register_class<MLPPLinAlg>();
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ClassDB::register_class<MLPPHiddenLayer>();
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ClassDB::register_class<MLPPOutputLayer>();
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