gpmp::ml::SVC Member List

This is the complete list of members for gpmp::ml::SVC, including all inherited members.

accuracy(const std::vector< int > &predictions, const std::vector< int > &labels)	gpmp::ml::SVC
bias	gpmp::ml::SVC
C	gpmp::ml::SVC
compute_loss(const std::vector< std::vector< double >> &X, const std::vector< int > &y)	gpmp::ml::SVC
cross_val_score(const std::vector< std::vector< double >> &X, const std::vector< int > &y, int cv=5)	gpmp::ml::SVC
dot_product(const std::vector< double > &x1, const std::vector< double > &x2)	gpmp::ml::SVC
fit(const std::vector< std::vector< double >> &X_train, const std::vector< int > &y_train)	gpmp::ml::SVC
grid_search(const std::vector< std::vector< double >> &X, const std::vector< int > &y, const std::vector< double > &C_values, const std::vector< double > &kernel_params, int cv=5)	gpmp::ml::SVC
hinge_loss(double prediction, int label)	gpmp::ml::SVC
k_fold_indices(int num_instances, int k)	gpmp::ml::SVC
kernel(const std::vector< double > &x1, const std::vector< double > &x2)	gpmp::ml::SVC
kernel_param	gpmp::ml::SVC
kernel_type	gpmp::ml::SVC
learning_rate	gpmp::ml::SVC
max_iterations	gpmp::ml::SVC
penalty_type	gpmp::ml::SVC
predict(const std::vector< std::vector< double >> &X_test)	gpmp::ml::SVC
predict_proba(const std::vector< std::vector< double >> &X_test)	gpmp::ml::SVC
random_state	gpmp::ml::SVC
score(const std::vector< std::vector< double >> &X_test, const std::vector< int > &y_test)	gpmp::ml::SVC
set_kernel(const std::string &k_type)	gpmp::ml::SVC
set_kernel_parameters(double k_param)	gpmp::ml::SVC
set_penalty(const std::string &p_type)	gpmp::ml::SVC
set_random_state(int seed)	gpmp::ml::SVC
set_verbose(bool vbose)	gpmp::ml::SVC
sigmoid(double z)	gpmp::ml::SVC
SVC(double C_=1.0, double l_rate=0.01, int max_iters=1000, double tol=1e-4)	gpmp::ml::SVC
tolerance	gpmp::ml::SVC
update_weights(const std::vector< std::vector< double >> &X, const std::vector< int > &y)	gpmp::ml::SVC
verbose	gpmp::ml::SVC
weights	gpmp::ml::SVC