Boosting Member List

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

_boost_gd	Boosting	[friend]
_n_in	LearnModel	[protected]
_n_out	LearnModel	[protected]
Aggregating()	Aggregating
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(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	Boosting	[inline, virtual]
convex	Boosting	[protected]
convex_smpwgt(DataWgt &)	Boosting	[protected, virtual]
convex_weight(const DataWgt &, const LearnModel &)	Boosting	[protected, virtual]
cost() const	Boosting
cost_functor	Boosting
create() const	Boosting	[inline, virtual]
Object::create(std::istream &)	Object	[static]
data_weight() const	LearnModel	[inline]
empty() const	Aggregating	[inline]
empty_id	Object	[protected, static]
get_output(UINT) const	Boosting	[virtual]
grad_desc_view	Boosting	[protected]
id() const	Boosting	[virtual]
id_t typedef	Object
initialize()	Boosting	[virtual]
is_convex() const	Boosting	[inline]
LearnModel(UINT n_in=0, UINT n_out=0)	LearnModel
LearnModel(const LearnModel &)	LearnModel
linear_smpwgt(DataWgt &)	Boosting	[protected, virtual]
linear_weight(const DataWgt &, const LearnModel &)	Boosting	[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]
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]
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_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()	Boosting	[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 &=empty_id)	Boosting	[protected, virtual]
Object::unserialize(std::istream &, ver_list &, const id_t &=empty_id)	Object	[inline, protected, virtual]
update_smpwgt(const DataWgt &sw, const LearnModel &l)	Boosting	[inline, protected]
use_gradient_descent(bool gd=true)	Boosting	[inline]
ver_list typedef	Object	[protected]
ver_t typedef	Object	[protected]
~Object()	Object	[inline, virtual]

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