FeedForwardNN Member List

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

_cost(const Output &F, const Output &y) const	FeedForwardNN	[inline, protected, virtual]
_cost_deriv(const Output &F, const Output &y) const	FeedForwardNN	[protected, virtual]
_dy	FeedForwardNN	[mutable, protected]
_n_in	LearnModel	[protected]
_n_out	LearnModel	[protected]
_y	FeedForwardNN	[mutable, protected]
ADAPTIVE_LEARNING_RATE enum value	FeedForwardNN
add_bottom(const NNLayer &)	FeedForwardNN
add_top(const NNLayer &)	FeedForwardNN
c_error(const Output &out, const Output &y) const	LearnModel	[virtual]
clear_gradient() const	FeedForwardNN
clone() const	FeedForwardNN	[inline, virtual]
CONJUGATE_GRADIENT enum value	FeedForwardNN
cost(UINT idx) const	FeedForwardNN
cost() const	FeedForwardNN
create() const	FeedForwardNN	[inline, virtual]
Object::create(std::istream &)	Object	[static]
data_weight() const	LearnModel	[inline]
empty_id	Object	[protected, static]
FeedForwardNN()	FeedForwardNN
FeedForwardNN(const FeedForwardNN &)	FeedForwardNN
FeedForwardNN(std::istream &is)	FeedForwardNN	[inline, explicit]
get_output(UINT idx) const	LearnModel	[inline, virtual]
gradient(UINT idx) const	FeedForwardNN
gradient() const	FeedForwardNN
GRADIENT_DESCENT enum value	FeedForwardNN
id() const	FeedForwardNN	[virtual]
id_t typedef	Object
initialize()	FeedForwardNN	[virtual]
layer	FeedForwardNN	[protected]
learn_rate	FeedForwardNN	[protected]
LearnModel(UINT n_in=0, UINT n_out=0)	LearnModel
LearnModel(const LearnModel &)	LearnModel
LINE_SEARCH enum value	FeedForwardNN
log_cost(UINT epoch, REAL err)	FeedForwardNN	[protected, virtual]
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_run	FeedForwardNN	[protected]
min_cst	FeedForwardNN	[protected]
min_margin() const	LearnModel
n_input() const	LearnModel	[inline]
n_layer	FeedForwardNN	[protected]
n_output() const	LearnModel	[inline]
n_samples	LearnModel	[protected]
online_learn	FeedForwardNN	[protected]
operator()(const Input &) const	FeedForwardNN	[virtual]
operator=(const FeedForwardNN &)	FeedForwardNN
operator[](UINT n) const	FeedForwardNN	[inline]
ptd	LearnModel	[protected]
ptw	LearnModel	[protected]
r_error(const Output &out, const Output &y) const	LearnModel	[virtual]
serialize(std::ostream &, ver_list &) const	FeedForwardNN	[protected, virtual]
Object::serialize(std::ostream &, ver_list &) const	Object	[protected, virtual]
set_batch_mode(bool b=true)	FeedForwardNN	[inline]
set_log_file(FILE *f)	LearnModel	[inline]
set_parameter(REAL lr, REAL mincst, UINT maxrun)	FeedForwardNN	[inline]
set_train_data(const pDataSet &, const pDataWgt &=0)	LearnModel	[virtual]
set_train_method(TRAIN_METHOD m)	FeedForwardNN	[inline]
set_weight(const WEIGHT &)	FeedForwardNN
size() const	FeedForwardNN	[inline]
stop_opt(UINT step, REAL cst)	FeedForwardNN
support_weighted_data() const	FeedForwardNN	[inline, virtual]
test_c_error(const pDataSet &) const	LearnModel
test_r_error(const pDataSet &) const	LearnModel
train()	FeedForwardNN	[virtual]
train_c_error() const	LearnModel
train_data() const	LearnModel	[inline]
TRAIN_METHOD enum name	FeedForwardNN
train_method	FeedForwardNN	[protected]
train_r_error() const	LearnModel
unserialize(std::istream &, ver_list &, const id_t &=empty_id)	FeedForwardNN	[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]
WEIGHT typedef	FeedForwardNN
weight() const	FeedForwardNN
WEIGHT_DECAY enum value	FeedForwardNN
~FeedForwardNN()	FeedForwardNN	[virtual]
~Object()	Object	[inline, virtual]

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