, including all inherited members.
| age (defined in ebl::supervised_trainer< Tnet, Tdata, Tlabel >) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [protected] |
| answers | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [protected] |
| compute_diaghessian(labeled_datasource< Tnet, Tdata, Tlabel > &ds, intg niter, double mu) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | |
| energy | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [protected] |
| init(labeled_datasource< Tnet, Tdata, Tlabel > &ds, classifier_meter *log=NULL, bool new_iteration=false) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [protected] |
| iteration (defined in ebl::supervised_trainer< Tnet, Tdata, Tlabel >) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [protected] |
| iteration_ptr (defined in ebl::supervised_trainer< Tnet, Tdata, Tlabel >) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [protected] |
| label | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [protected] |
| machine (defined in ebl::supervised_trainer< Tnet, Tdata, Tlabel >) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [protected] |
| param | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [protected] |
| prettied | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [protected] |
| pretty(labeled_datasource< Tnet, Tdata, Tlabel > &ds) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | |
| progress_cnt | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [protected] |
| progress_file | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [protected] |
| set_iteration(int i) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | |
| set_progress_file(const std::string &s) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | |
| supervised_trainer(trainable_module< Tnet, Tdata, Tlabel > &m, parameter< Tnet, bbstate_idx< Tnet > > &p) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | |
| supervised_trainer_gui (defined in ebl::supervised_trainer< Tnet, Tdata, Tlabel >) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [friend] |
| test(labeled_datasource< Tnet, Tdata, Tlabel > &ds, classifier_meter &log, infer_param &infp, uint max_test=0) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | |
| test_running | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [protected] |
| test_sample(labeled_datasource< Tnet, Tdata, Tlabel > &ds, bbstate_idx< Tnet > &label, bbstate_idx< Tnet > &answers, infer_param &infp) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | |
| train(labeled_datasource< Tnet, Tdata, Tlabel > &ds, classifier_meter &log, gd_param &args, int niter, infer_param &infp, intg hessian_period=0, intg nhessian=0, double mu=.02) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | |
| train_sample(labeled_datasource< Tnet, Tdata, Tlabel > &ds, gd_param &arg) | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | |
| update_progress() | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | |
| ~supervised_trainer() | ebl::supervised_trainer< Tnet, Tdata, Tlabel > | [virtual] |
1.7.4