, 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] |