| _n_in | LearnModel | [protected] |
| _n_out | LearnModel | [protected] |
| Aggregating() | Aggregating | |
| Aggregating(const Aggregating &) | Aggregating | |
| aggregation_size() const | Aggregating | [inline] |
| base_model() const | Aggregating | [inline] |
| c_error(const Output &out, const Output &y) const | LearnModel | [virtual] |
| clone() const =0 | Aggregating | [pure virtual] |
| create() const =0 | Aggregating | [pure virtual] |
| Object::create(std::istream &) | Object | [static] |
| data_weight() const | LearnModel | [inline] |
| empty() const | Aggregating | [inline] |
| empty_id | Object | [protected, static] |
| get_output(UINT idx) const | LearnModel | [inline, virtual] |
| id() const =0 | Object | [pure virtual] |
| id_t typedef | Object | |
| initialize() | Aggregating | [virtual] |
| LearnModel(UINT n_in=0, UINT n_out=0) | LearnModel | |
| LearnModel(const LearnModel &) | LearnModel | |
| lm | Aggregating | [protected] |
| lm_base | Aggregating | [protected] |
| logf | LearnModel | [protected] |
| margin(UINT i) const | LearnModel | [inline, virtual] |
| margin_norm() const | LearnModel | [inline, virtual] |
| margin_of(const Input &x, const Output &y) const | LearnModel | [virtual] |
| max_n_model | Aggregating | [protected] |
| min_margin() const | LearnModel | |
| model(UINT n) const | Aggregating | [inline] |
| n_in_agg | Aggregating | [protected] |
| n_input() const | LearnModel | [inline] |
| n_output() const | LearnModel | [inline] |
| n_samples | LearnModel | [protected] |
| operator()(const Input &) const =0 | LearnModel | [pure virtual] |
| operator=(const Aggregating &) | Aggregating | |
| operator[](UINT n) const | Aggregating | [inline] |
| ptd | LearnModel | [protected] |
| ptw | LearnModel | [protected] |
| r_error(const Output &out, const Output &y) const | LearnModel | [virtual] |
| serialize(std::ostream &, ver_list &) const | Aggregating | [protected, virtual] |
| Object::serialize(std::ostream &, ver_list &) const | Object | [protected, virtual] |
| set_aggregation_size(UINT) | Aggregating | [virtual] |
| set_base_model(const LearnModel &) | Aggregating | |
| set_log_file(FILE *f) | LearnModel | [inline] |
| set_max_models(UINT max) | Aggregating | [inline] |
| set_train_data(const pDataSet &, const pDataWgt &=0) | Aggregating | [virtual] |
| size() const | Aggregating | [inline] |
| support_weighted_data() const | LearnModel | [inline, virtual] |
| test_c_error(const pDataSet &) const | LearnModel | |
| test_r_error(const pDataSet &) const | LearnModel | |
| train()=0 | LearnModel | [pure virtual] |
| train_c_error() const | LearnModel | |
| train_data() const | LearnModel | [inline] |
| train_r_error() const | LearnModel | |
| unserialize(std::istream &, ver_list &, const id_t &=empty_id) | Aggregating | [protected, virtual] |
| Object::unserialize(std::istream &, ver_list &, const id_t &=empty_id) | Object | [inline, protected, virtual] |
| ver_list typedef | Object | [protected] |
| ver_t typedef | Object | [protected] |
| ~Object() | Object | [inline, virtual] |
