, including all inherited members.
| add_states(INT num_states, DREAL default_val=0) | CHMM | |
| all_pat_prob | CHMM | [protected] |
| all_path_prob_updated | CHMM | [protected] |
| alloc_state_dependend_arrays() | CHMM | |
| alpha_cache | CHMM | [protected] |
| append_model(CHMM *append_model, DREAL *cur_out, DREAL *app_out) | CHMM | |
| append_model(CHMM *append_model) | CHMM | |
| arrayN1 | CHMM | [protected] |
| arrayN2 | CHMM | [protected] |
| backward(INT time, INT state, INT dimension) | CHMM | [protected] |
| backward_comp(INT time, INT state, INT dimension) | CHMM | |
| backward_comp_old(INT time, INT state, INT dimension) | CHMM | |
| baum_welch_viterbi_train(BaumWelchViterbiType type) | CHMM | |
| best_path(INT dimension) | CHMM | |
| beta_cache | CHMM | [protected] |
| CDistribution() | CDistribution | |
| check_model_derivatives() | CHMM | |
| check_model_derivatives_combined() | CHMM | |
| CHMM(INT N, INT M, CModel *model, DREAL PSEUDO) | CHMM | |
| CHMM(CStringFeatures< WORD > *obs, INT N, INT M, DREAL PSEUDO) | CHMM | |
| CHMM(INT N, double *p, double *q, double *a) | CHMM | |
| CHMM(INT N, double *p, double *q, int num_trans, double *a_trans) | CHMM | |
| CHMM(FILE *model_file, DREAL PSEUDO) | CHMM | |
| CHMM(CHMM *h) | CHMM | |
| chop(DREAL value) | CHMM | |
| clear_model() | CHMM | |
| clear_model_defined() | CHMM | |
| close_bracket(FILE *file) | CHMM | [protected] |
| comma_or_space(FILE *file) | CHMM | [protected] |
| conv_it | CHMM | [protected] |
| convert_to_log() | CHMM | |
| copy_model(CHMM *l) | CHMM | |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| end_state_distribution_q | CHMM | [protected] |
| epsilon | CHMM | [protected] |
| error(INT p_line, const CHAR *str) | CHMM | [protected] |
| estimate_model_baum_welch(CHMM *train) | CHMM | |
| estimate_model_baum_welch_defined(CHMM *train) | CHMM | |
| estimate_model_baum_welch_old(CHMM *train) | CHMM | |
| estimate_model_baum_welch_trans(CHMM *train) | CHMM | |
| estimate_model_viterbi(CHMM *train) | CHMM | |
| estimate_model_viterbi_defined(CHMM *train) | CHMM | |
| features | CDistribution | [protected] |
| forward(INT time, INT state, INT dimension) | CHMM | [protected] |
| forward_comp(INT time, INT state, INT dimension) | CHMM | |
| forward_comp_old(INT time, INT state, INT dimension) | CHMM | |
| free_state_dependend_arrays() | CHMM | |
| get_A(T_STATES line_, T_STATES column) const | CHMM | |
| get_a(T_STATES line_, T_STATES column) const | CHMM | |
| get_B(T_STATES line_, WORD column) const | CHMM | |
| get_b(T_STATES line_, WORD column) const | CHMM | |
| get_best_path_state(INT dim, INT t) | CHMM | |
| get_derivative(INT num_param, INT num_example) | CDistribution | [virtual] |
| get_epsilon() | CHMM | |
| get_features() | CDistribution | [virtual] |
| get_iterations() | CHMM | |
| get_likelihood_example(INT num_example) | CDistribution | [virtual] |
| get_log_derivative(INT num_param, INT num_example) | CHMM | [virtual] |
| get_log_likelihood(DREAL **dst, INT *num) | CDistribution | [virtual] |
| get_log_likelihood_example(INT num_example) | CHMM | [virtual] |
| get_log_likelihood_sample() | CDistribution | [virtual] |
| get_log_model_parameter(INT num_param) | CHMM | [virtual] |
| get_M() const | CHMM | |
| get_model_parameter(INT num_param) | CDistribution | [virtual] |
| get_N() const | CHMM | |
| get_num_model_parameters() | CHMM | [virtual] |
| get_num_relevant_model_parameters() | CDistribution | [virtual] |
| get_numbuffer(FILE *file, CHAR *buffer, INT length) | CHMM | [protected] |
| get_observations() | CHMM | |
| get_p(T_STATES offset) const | CHMM | |
| get_path(INT dim, DREAL &prob) | CHMM | |
| get_pseudo() const | CHMM | |
| get_pseudo_count() | CDistribution | [virtual] |
| get_psi(INT time, T_STATES state, INT dimension) const | CHMM | |
| get_q(T_STATES offset) const | CHMM | |
| get_status() const | CHMM | |
| GOTa | CHMM | [protected, static] |
| GOTb | CHMM | [protected, static] |
| GOTconst_a | CHMM | [protected, static] |
| GOTconst_b | CHMM | [protected, static] |
| GOTconst_p | CHMM | [protected, static] |
| GOTconst_q | CHMM | [protected, static] |
| GOTlearn_a | CHMM | [protected, static] |
| GOTlearn_b | CHMM | [protected, static] |
| GOTlearn_p | CHMM | [protected, static] |
| GOTlearn_q | CHMM | [protected, static] |
| GOTM | CHMM | [protected, static] |
| GOTN | CHMM | [protected, static] |
| GOTO | CHMM | [protected, static] |
| GOTp | CHMM | [protected, static] |
| GOTq | CHMM | [protected, static] |
| init_model_defined() | CHMM | |
| init_model_random() | CHMM | |
| initial_state_distribution_p | CHMM | [protected] |
| initialize(CModel *model, DREAL PSEUDO, FILE *model_file=NULL) | CHMM | |
| invalidate_model() | CHMM | |
| io | CSGObject | [static] |
| iteration_count | CHMM | [protected] |
| iterations | CHMM | [protected] |
| line | CHMM | [protected] |
| linear_model_derivative(T_STATES i, WORD j, INT dimension) | CHMM | |
| linear_model_probability(INT dimension) | CHMM | |
| linear_train(bool right_align=false) | CHMM | |
| load_definitions(FILE *file, bool verbose, bool initialize=true) | CHMM | |
| load_model(FILE *file) | CHMM | |
| loglikelihood | CHMM | [protected] |
| M | CHMM | [protected] |
| mod_prob | CHMM | [protected] |
| mod_prob_updated | CHMM | [protected] |
| model | CHMM | [protected] |
| model_derivative_a(T_STATES i, T_STATES j, INT dimension) | CHMM | |
| model_derivative_b(T_STATES i, WORD j, INT dimension) | CHMM | |
| model_derivative_p(T_STATES i, INT dimension) | CHMM | |
| model_derivative_q(T_STATES i, INT dimension) | CHMM | |
| model_probability(INT dimension=-1) | CHMM | |
| model_probability_comp() | CHMM | |
| N | CHMM | [protected] |
| normalize(bool keep_dead_states=false) | CHMM | |
| observation_matrix_b | CHMM | [protected] |
| observation_matrix_B | CHMM | [protected] |
| open_bracket(FILE *file) | CHMM | [protected] |
| output_model(bool verbose=false) | CHMM | |
| output_model_defined(bool verbose=false) | CHMM | |
| p_observations | CHMM | [protected] |
| parallel | CSGObject | [static] |
| pat_prob | CHMM | [protected] |
| path | CHMM | [protected] |
| path_deriv_dimension | CHMM | [protected] |
| path_deriv_updated | CHMM | [protected] |
| path_derivative_a(T_STATES i, T_STATES j, INT dimension) | CHMM | |
| path_derivative_b(T_STATES i, WORD j, INT dimension) | CHMM | |
| path_derivative_p(T_STATES i, INT dimension) | CHMM | |
| path_derivative_q(T_STATES i, INT dimension) | CHMM | |
| path_prob_dimension | CHMM | [protected] |
| path_prob_updated | CHMM | [protected] |
| permutation_entropy(INT window_width, INT sequence_number) | CHMM | |
| prepare_path_derivative(INT dim) | CHMM | [protected] |
| PSEUDO | CHMM | [protected] |
| pseudo_count | CDistribution | [protected] |
| reused_caches | CHMM | [protected] |
| save_likelihood(FILE *file) | CHMM | |
| save_likelihood_bin(FILE *file) | CHMM | |
| save_model(FILE *file) | CHMM | |
| save_model_bin(FILE *file) | CHMM | |
| save_model_derivatives(FILE *file) | CHMM | |
| save_model_derivatives_bin(FILE *file) | CHMM | |
| save_path(FILE *file) | CHMM | |
| save_path_derivatives(FILE *file) | CHMM | |
| save_path_derivatives_bin(FILE *file) | CHMM | |
| set_A(T_STATES line_, T_STATES column, DREAL value) | CHMM | |
| set_a(T_STATES line_, T_STATES column, DREAL value) | CHMM | |
| set_b(T_STATES line_, WORD column, DREAL value) | CHMM | |
| set_B(T_STATES line_, WORD column, DREAL value) | CHMM | |
| set_epsilon(DREAL eps) | CHMM | |
| set_features(CFeatures *f) | CDistribution | [virtual] |
| set_iterations(INT num) | CHMM | |
| set_observation_nocache(CStringFeatures< WORD > *obs) | CHMM | |
| set_observations(CStringFeatures< WORD > *obs, CHMM *lambda=NULL) | CHMM | |
| set_p(T_STATES offset, DREAL value) | CHMM | |
| set_pseudo(DREAL pseudo) | CHMM | |
| set_pseudo_count(DREAL pseudo) | CDistribution | [virtual] |
| set_psi(INT time, T_STATES state, T_STATES value, INT dimension) | CHMM | |
| set_q(T_STATES offset, DREAL value) | CHMM | |
| state_probability(INT time, INT state, INT dimension) | CHMM | |
| states_per_observation_psi | CHMM | [protected] |
| status | CHMM | [protected] |
| train() | CHMM | [virtual] |
| transition_matrix_a | CHMM | [protected] |
| transition_matrix_A | CHMM | [protected] |
| transition_probability(INT time, INT state_i, INT state_j, INT dimension) | CHMM | |
| version | CSGObject | [static] |
| ~CDistribution() | CDistribution | [virtual] |
| ~CHMM() | CHMM | [virtual] |
| ~CSGObject() | CSGObject | [virtual] |