| _n_in | LearnModel | [protected] |
| _n_out | LearnModel | [protected] |
| bias() const | SVM | [inline] |
| C() const | SVM | [inline] |
| c_error(const Output &out, const Output &y) const | LearnModel | [virtual] |
| clone() const | SVM | [inline, virtual] |
| create() const | SVM | [inline, virtual] |
| Object::create(std::istream &) | Object | [static] |
| exact_dimensions(UINT i, UINT o) const | LearnModel | [inline] |
| exact_dimensions(const LearnModel &l) const | LearnModel | [inline] |
| exact_dimensions(const DataSet &d) const | LearnModel | [inline] |
| get_output(UINT idx) const | LearnModel | [inline, virtual] |
| id() const | SVM | [virtual] |
| id_t typedef | Object | |
| initialize() | SVM | [virtual] |
| kernel() const | SVM | [inline] |
| kernel(const Input &, const Input &) const | SVM | |
| LearnModel(UINT n_in=0, UINT n_out=0) | LearnModel | |
| logf | LearnModel | [protected] |
| margin(UINT i) const | LearnModel | [inline, virtual] |
| margin_norm() const | SVM | [inline, virtual] |
| margin_of(const Input &, const Output &) const | SVM | [virtual] |
| min_margin() const | LearnModel | |
| n_input() const | LearnModel | [inline] |
| n_output() const | LearnModel | [inline] |
| n_samples | LearnModel | [protected] |
| n_support_vectors() const | SVM | [inline] |
| NIL_ID | Object | [protected, static] |
| operator()(const Input &) const | SVM | [virtual] |
| operator=(const SVM &) | SVM | |
| ptd | LearnModel | [protected] |
| ptw | LearnModel | [protected] |
| r_error(const Output &out, const Output &y) const | LearnModel | [virtual] |
| reset() | LearnModel | [virtual] |
| reset_model() | SVM | [protected] |
| serialize(std::ostream &, ver_list &) const | SVM | [protected, virtual] |
| Object::serialize(std::ostream &, ver_list &) const | Object | [protected, virtual] |
| set_C(REAL c) | SVM | [inline] |
| set_dimensions(UINT, UINT) | LearnModel | [protected] |
| set_dimensions(const LearnModel &l) | LearnModel | [inline, protected] |
| set_dimensions(const DataSet &d) | LearnModel | [inline, protected] |
| set_kernel(const kernel::Kernel &) | SVM | |
| set_log_file(FILE *f) | LearnModel | [inline] |
| set_train_data(const pDataSet &, const pDataWgt &=0) | LearnModel | [virtual] |
| signed_margin(const Input &) const | SVM | [protected] |
| support_vector(UINT i) const | SVM | [inline] |
| support_vector_coef(UINT i) const | SVM | [inline] |
| support_weighted_data() const | SVM | [inline, virtual] |
| SVM(UINT n_in=0) | SVM | [explicit] |
| SVM(const kernel::Kernel &, UINT n_in=0) | SVM | [explicit] |
| SVM(const SVM &) | SVM | |
| SVM(std::istream &) | SVM | [explicit] |
| test_c_error(const pDataSet &) const | LearnModel | |
| test_r_error(const pDataSet &) const | LearnModel | |
| train() | SVM | [virtual] |
| train_c_error() const | LearnModel | |
| train_data() const | LearnModel | [inline] |
| train_r_error() const | LearnModel | |
| unserialize(std::istream &, ver_list &, const id_t &=NIL_ID) | SVM | [protected, virtual] |
| Object::unserialize(std::istream &, ver_list &, const id_t &=NIL_ID) | Object | [inline, protected, virtual] |
| valid_dimensions(UINT, UINT) const | LearnModel | |
| valid_dimensions(const LearnModel &l) const | LearnModel | [inline] |
| ver_list typedef | Object | [protected] |
| ver_t typedef | Object | [protected] |
| w_norm() const | SVM | |
| ~Object() | Object | [inline, virtual] |
| ~SVM() | SVM | [virtual] |
