CHMM Member List

This is the complete list of members for CHMM, including all inherited members.

add_states(INT num_states, DREAL default_val=0)CHMM
all_pat_probCHMM [protected]
all_path_prob_updatedCHMM [protected]
alloc_state_dependend_arrays()CHMM
alpha_cacheCHMM [protected]
append_model(CHMM *append_model, DREAL *cur_out, DREAL *app_out)CHMM
append_model(CHMM *append_model)CHMM
arrayN1CHMM [protected]
arrayN2CHMM [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_cacheCHMM [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_itCHMM [protected]
convert_to_log()CHMM
copy_model(CHMM *l)CHMM
CSGObject()CSGObject
CSGObject(const CSGObject &orig)CSGObject
end_state_distribution_qCHMM [protected]
epsilonCHMM [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
featuresCDistribution [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
GOTaCHMM [protected, static]
GOTbCHMM [protected, static]
GOTconst_aCHMM [protected, static]
GOTconst_bCHMM [protected, static]
GOTconst_pCHMM [protected, static]
GOTconst_qCHMM [protected, static]
GOTlearn_aCHMM [protected, static]
GOTlearn_bCHMM [protected, static]
GOTlearn_pCHMM [protected, static]
GOTlearn_qCHMM [protected, static]
GOTMCHMM [protected, static]
GOTNCHMM [protected, static]
GOTOCHMM [protected, static]
GOTpCHMM [protected, static]
GOTqCHMM [protected, static]
init_model_defined()CHMM
init_model_random()CHMM
initial_state_distribution_pCHMM [protected]
initialize(CModel *model, DREAL PSEUDO, FILE *model_file=NULL)CHMM
invalidate_model()CHMM
ioCSGObject [static]
iteration_countCHMM [protected]
iterationsCHMM [protected]
lineCHMM [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
loglikelihoodCHMM [protected]
MCHMM [protected]
mod_probCHMM [protected]
mod_prob_updatedCHMM [protected]
modelCHMM [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
NCHMM [protected]
normalize(bool keep_dead_states=false)CHMM
observation_matrix_bCHMM [protected]
observation_matrix_BCHMM [protected]
open_bracket(FILE *file)CHMM [protected]
output_model(bool verbose=false)CHMM
output_model_defined(bool verbose=false)CHMM
p_observationsCHMM [protected]
parallelCSGObject [static]
pat_probCHMM [protected]
pathCHMM [protected]
path_deriv_dimensionCHMM [protected]
path_deriv_updatedCHMM [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_dimensionCHMM [protected]
path_prob_updatedCHMM [protected]
permutation_entropy(INT window_width, INT sequence_number)CHMM
prepare_path_derivative(INT dim)CHMM [protected]
PSEUDOCHMM [protected]
pseudo_countCDistribution [protected]
reused_cachesCHMM [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_psiCHMM [protected]
statusCHMM [protected]
train()CHMM [virtual]
transition_matrix_aCHMM [protected]
transition_matrix_ACHMM [protected]
transition_probability(INT time, INT state_i, INT state_j, INT dimension)CHMM
versionCSGObject [static]
~CDistribution()CDistribution [virtual]
~CHMM()CHMM [virtual]
~CSGObject()CSGObject [virtual]


SHOGUN Machine Learning Toolbox - Documentation