Perceptron Member List

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

_n_in	LearnModel	[protected]
_n_out	LearnModel	[protected]
ADALINE enum value	Perceptron
AVE_PERCEPTRON enum value	Perceptron
AVE_PERCEPTRON_RAND enum value	Perceptron
c_error(const Output &out, const Output &y) const	LearnModel	[virtual]
clone() const	Perceptron	[inline, virtual]
COORDINATE_DESCENT enum value	Perceptron
create() const	Perceptron	[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]
fixed_bias	Perceptron	[protected]
FIXED_RCD enum value	Perceptron
FIXED_RCD_BIAS enum value	Perceptron
FIXED_RCD_CONJ enum value	Perceptron
FIXED_RCD_CONJ_BIAS enum value	Perceptron
fld() const	Perceptron
get_output(UINT idx) const	LearnModel	[inline, virtual]
GRADIENT_COOR_DESCENT_ONLINE enum value	Perceptron
id() const	Perceptron	[virtual]
id_t typedef	Object
initialize()	Perceptron	[virtual]
learn_rate	Perceptron	[protected]
LearnModel(UINT n_in=0, UINT n_out=0)	LearnModel
log_error(UINT, REAL=-1) const	Perceptron	[protected, virtual]
logf	LearnModel	[protected]
margin(UINT i) const	LearnModel	[inline, virtual]
margin_norm() const	Perceptron	[inline, virtual]
margin_of(const Input &, const Output &) const	Perceptron	[virtual]
max_run	Perceptron	[protected]
min_cst	Perceptron	[protected]
min_margin() const	LearnModel
n_input() const	LearnModel	[inline]
n_output() const	LearnModel	[inline]
n_samples	LearnModel	[protected]
NIL_ID	Object	[protected, static]
operator()(const Input &) const	Perceptron	[virtual]
Perceptron(UINT n_in=0)	Perceptron	[explicit]
Perceptron(const SVM &)	Perceptron
Perceptron(std::istream &is)	Perceptron	[inline, explicit]
PERCEPTRON enum value	Perceptron
POCKET enum value	Perceptron
POCKET_RATCHET enum value	Perceptron
ptd	LearnModel	[protected]
ptw	LearnModel	[protected]
r_error(const Output &out, const Output &y) const	LearnModel	[virtual]
RAND_CONJ_DESCENT enum value	Perceptron
RAND_CONJ_DESCENT_BIAS enum value	Perceptron
RAND_COOR_DESCENT enum value	Perceptron
RAND_COOR_DESCENT_BIAS enum value	Perceptron
RCD enum value	Perceptron
RCD_BIAS enum value	Perceptron
RCD_CONJ enum value	Perceptron
RCD_CONJ_BIAS enum value	Perceptron
RCD_GRAD enum value	Perceptron
RCD_GRAD_BATCH enum value	Perceptron
RCD_GRAD_BATCH_RAND enum value	Perceptron
RCD_GRAD_MIXED enum value	Perceptron
RCD_GRAD_MIXED_BATCH enum value	Perceptron
RCD_GRAD_MIXED_BATCH_INITRAND enum value	Perceptron
RCD_GRAD_MIXED_INITRAND enum value	Perceptron
RCD_GRAD_RAND enum value	Perceptron
RCD_MIXED enum value	Perceptron
resample	Perceptron	[protected]
reset()	LearnModel	[virtual]
ROMMA enum value	Perceptron
ROMMA_AGG enum value	Perceptron
ROMMA_AGG_RAND enum value	Perceptron
ROMMA_RAND enum value	Perceptron
serialize(std::ostream &, ver_list &) const	Perceptron	[protected, virtual]
Object::serialize(std::ostream &, ver_list &) const	Object	[protected, virtual]
set_dimensions(UINT, UINT)	LearnModel	[protected]
set_dimensions(const LearnModel &l)	LearnModel	[inline, protected]
set_dimensions(const DataSet &d)	LearnModel	[inline, protected]
set_fixed_bias(bool b=false)	Perceptron	[inline]
set_log_file(FILE *f)	LearnModel	[inline]
set_parameter(REAL lr, REAL mincst, UINT maxrun)	Perceptron	[inline]
set_train_data(const pDataSet &, const pDataWgt &=0)	LearnModel	[virtual]
set_train_method(TRAIN_METHOD m)	Perceptron	[inline]
set_weight(const WEIGHT &)	Perceptron
SGD_HINGE enum value	Perceptron
SGD_MLSE enum value	Perceptron
start_with_fld(bool b=true)	Perceptron	[inline]
support_weighted_data() const	Perceptron	[inline, virtual]
test_c_error(const pDataSet &) const	LearnModel
test_r_error(const pDataSet &) const	LearnModel
train()	Perceptron	[virtual]
train_c_error() const	LearnModel
train_data() const	LearnModel	[inline]
train_method	Perceptron	[protected]
TRAIN_METHOD enum name	Perceptron
train_r_error() const	LearnModel
unserialize(std::istream &, ver_list &, const id_t &=NIL_ID)	Perceptron	[protected, virtual]
Object::unserialize(std::istream &, ver_list &, const id_t &=NIL_ID)	Object	[inline, protected, virtual]
use_resample(bool s=true)	Perceptron	[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]
w_norm() const	Perceptron
WEIGHT typedef	Perceptron
weight() const	Perceptron	[inline]
wgt	Perceptron	[protected]
with_fld	Perceptron	[protected]
~Object()	Object	[inline, virtual]

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