_boost_gd | Boosting | [friend] |
_n_in | LearnModel | [protected] |
_n_out | LearnModel | [protected] |
AdaBoost(bool cvx=false, const cost::Cost &c=cost::_cost) | AdaBoost | [inline, explicit] |
AdaBoost(const Boosting &s) | AdaBoost | [inline] |
AdaBoost(std::istream &is) | AdaBoost | [inline, explicit] |
Aggregating() | Aggregating | [inline] |
Aggregating(const Aggregating &) | Aggregating | |
aggregation_size() const | Aggregating | [inline] |
assign_weight(const DataWgt &sw, const LearnModel &l) | Boosting | [inline, protected] |
base_model() const | Aggregating | [inline] |
Boosting(bool cvx=false, const cost::Cost &=cost::_cost) | Boosting | [explicit] |
Boosting(const Aggregating &) | Boosting | |
Boosting(std::istream &is) | Boosting | [inline, explicit] |
c_error(const Output &out, const Output &y) const | LearnModel | [virtual] |
clear_cache(UINT idx) const | Boosting | [inline, protected] |
clear_cache() const | Boosting | [inline, protected] |
clone() const | AdaBoost | [inline, virtual] |
convex | Boosting | [protected] |
convex_smpwgt(DataWgt &) | Boosting | [protected, virtual] |
convex_weight(const DataWgt &, const LearnModel &) | AdaBoost | [protected, virtual] |
cost() const | Boosting | |
cost_functor | Boosting | |
create() const | AdaBoost | [inline, virtual] |
Object::create(std::istream &) | Object | [static] |
cur_err | AdaBoost | [protected] |
empty() const | Aggregating | [inline] |
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) const | Boosting | [virtual] |
grad_desc_view | Boosting | [protected] |
id() const | AdaBoost | [virtual] |
id_t typedef | Object | |
initialize() | LearnModel | [inline, virtual] |
is_convex() const | Boosting | [inline] |
LearnModel(UINT n_in=0, UINT n_out=0) | LearnModel | |
linear_smpwgt(DataWgt &) | AdaBoost | [protected, virtual] |
linear_weight(const DataWgt &, const LearnModel &) | AdaBoost | [protected, virtual] |
lm | Aggregating | [protected] |
lm_base | Aggregating | [protected] |
lm_wgt | Boosting | [protected] |
logf | LearnModel | [protected] |
margin(UINT) const | Boosting | [virtual] |
margin_norm() const | Boosting | [virtual] |
margin_of(const Input &, const Output &) const | Boosting | [virtual] |
max_n_model | Aggregating | [protected] |
min_cst | Boosting | [protected] |
min_err | Boosting | [protected] |
min_margin() const | LearnModel | |
model(UINT n) const | Aggregating | [inline] |
model_weight(UINT n) const | Boosting | [inline] |
model_weight_sum() const | Boosting | [inline, protected] |
n_in_agg | Aggregating | [protected] |
n_input() const | LearnModel | [inline] |
n_output() const | LearnModel | [inline] |
n_samples | LearnModel | [protected] |
NIL_ID | Object | [protected, static] |
operator()(const Input &) const | Boosting | [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] |
reset() | Boosting | [virtual] |
sample_weight() const | Boosting | [protected] |
serialize(std::ostream &, ver_list &) const | Boosting | [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_dimensions(UINT, UINT) | LearnModel | [protected] |
set_dimensions(const LearnModel &l) | LearnModel | [inline, protected] |
set_dimensions(const DataSet &d) | LearnModel | [inline, protected] |
set_log_file(FILE *f) | LearnModel | [inline] |
set_max_models(UINT max) | Aggregating | [inline] |
set_min_cost(REAL mincst) | Boosting | [inline] |
set_min_error(REAL minerr) | Boosting | [inline] |
set_train_data(const pDataSet &, const pDataWgt &=0) | Boosting | [virtual] |
size() const | Aggregating | [inline] |
support_weighted_data() const | Boosting | [inline, virtual] |
test_c_error(const pDataSet &) const | LearnModel | |
test_r_error(const pDataSet &) const | LearnModel | |
train() | AdaBoost | [virtual] |
train_c_error() const | LearnModel | |
train_data() const | LearnModel | [inline] |
train_gd() | Boosting | [protected, virtual] |
train_r_error() const | LearnModel | |
train_with_smpwgt(const pDataWgt &) const | Boosting | [protected] |
unserialize(std::istream &, ver_list &, const id_t &=NIL_ID) | Boosting | [protected, virtual] |
Object::unserialize(std::istream &, ver_list &, const id_t &=NIL_ID) | Object | [inline, protected, virtual] |
update_smpwgt(const DataWgt &sw, const LearnModel &l) | Boosting | [inline, protected] |
use_gradient_descent(bool gd=true) | Boosting | [inline] |
valid_dimensions(UINT, UINT) const | LearnModel | |
valid_dimensions(const LearnModel &l) const | LearnModel | [inline] |
ver_list typedef | Object | [protected] |
ver_t typedef | Object | [protected] |
~Object() | Object | [inline, virtual] |