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82 lines
2.7 KiB
C++
82 lines
2.7 KiB
C++
#ifndef MLPP_TESTS_H
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#define MLPP_TESTS_H
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// TODO port this class to use the test module once it's working
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// Also don't forget to remove it's bindings
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#include "core/containers/vector.h"
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#include "core/object/reference.h"
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#include "core/string/ustring.h"
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class MLPPTests : public Reference {
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GDCLASS(MLPPTests, Reference);
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public:
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void test_statistics();
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void test_linear_algebra();
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void test_univariate_linear_regression();
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void test_multivariate_linear_regression_gradient_descent(bool ui = false);
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void test_multivariate_linear_regression_sgd(bool ui = false);
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void test_multivariate_linear_regression_mbgd(bool ui = false);
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void test_multivariate_linear_regression_normal_equation(bool ui = false);
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void test_multivariate_linear_regression_adam();
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void test_multivariate_linear_regression_score_sgd_adam(bool ui = false);
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void test_multivariate_linear_regression_epochs_gradient_descent(bool ui = false);
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void test_multivariate_linear_regression_newton_raphson(bool ui = false);
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void test_logistic_regression(bool ui = false);
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void test_probit_regression(bool ui = false);
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void test_c_log_log_regression(bool ui = false);
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void test_exp_reg_regression(bool ui = false);
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void test_tanh_regression(bool ui = false);
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void test_softmax_regression(bool ui = false);
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void test_support_vector_classification(bool ui = false);
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void test_mlp(bool ui = false);
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void test_soft_max_network(bool ui = false);
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void test_autoencoder(bool ui = false);
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void test_dynamically_sized_ann(bool ui = false);
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void test_wgan(bool ui = false);
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void test_ann(bool ui = false);
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void test_dynamically_sized_mann(bool ui = false);
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void test_train_test_split_mann(bool ui = false);
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void test_naive_bayes();
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void test_k_means(bool ui = false);
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void test_knn(bool ui = false);
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void test_convolution_tensors_etc();
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void test_pca_svd_eigenvalues_eigenvectors(bool ui = false);
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void test_nlp_and_data(bool ui = false);
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void test_outlier_finder(bool ui = false);
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void test_new_math_functions();
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void test_positive_definiteness_checker();
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void test_numerical_analysis();
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void test_support_vector_classification_kernel(bool ui = false);
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void is_approx_equalsd(double a, double b, const String &str);
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void is_approx_equals_dvec(const Vector<double> &a, const Vector<double> &b, const String &str);
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void is_approx_equals_dmat(const Vector<Vector<double>> &a, const Vector<Vector<double>> &b, const String &str);
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MLPPTests();
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~MLPPTests();
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protected:
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static void _bind_methods();
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String _breast_cancer_data_path;
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String _breast_cancer_svm_data_path;
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String _california_housing_data_path;
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String _fires_and_crime_data_path;
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String _iris_data_path;
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String _mnist_test_data_path;
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String _mnist_train_data_path;
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String _wine_data_path;
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};
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#endif
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