, including all inherited members.
_classname_() | PLearn::NnlmOutputLayer | [static] |
_getOptionList_() | PLearn::NnlmOutputLayer | [static] |
_getRemoteMethodMap_() | PLearn::NnlmOutputLayer | [static] |
_isa_(const Object *o) | PLearn::NnlmOutputLayer | [static] |
_new_instance_for_typemap_() | PLearn::NnlmOutputLayer | [static] |
_static_initialize_() | PLearn::NnlmOutputLayer | [static] |
_static_initializer_ | PLearn::NnlmOutputLayer | [static] |
ad_gradient | PLearn::NnlmOutputLayer | [mutable] |
addCandidateContribution(int c) const | PLearn::NnlmOutputLayer | |
applyAllClassVars() | PLearn::NnlmOutputLayer | |
applyMuAndSigmaEmpiricalUpdate(const Vec &input) const | PLearn::NnlmOutputLayer | |
applyMuCandidateGradient(int c) const | PLearn::NnlmOutputLayer | |
applyMuGradient() const | PLearn::NnlmOutputLayer | |
applyMuTargetGradient() const | PLearn::NnlmOutputLayer | |
applySigmaCandidateGradient(int c) const | PLearn::NnlmOutputLayer | |
applySigmaGradient() const | PLearn::NnlmOutputLayer | |
applySigmaTargetGradient() const | PLearn::NnlmOutputLayer | |
asString() const | PLearn::Object | [virtual] |
asStringRemoteTransmit() const | PLearn::Object | [virtual] |
bbpropUpdate(const Vec &input, const Vec &output, const Vec &output_gradient, const Vec &output_diag_hessian) | PLearn::OnlineLearningModule | [virtual] |
bbpropUpdate(const Vec &input, const Vec &output, Vec &input_gradient, const Vec &output_gradient, Vec &input_diag_hessian, const Vec &output_diag_hessian, bool accumulate=false) | PLearn::OnlineLearningModule | [virtual] |
beta | PLearn::NnlmOutputLayer | [mutable] |
bill | PLearn::NnlmOutputLayer | [mutable] |
bob | PLearn::NnlmOutputLayer | [mutable] |
bpropAccUpdate(const TVec< Mat * > &ports_value, const TVec< Mat * > &ports_gradient) | PLearn::OnlineLearningModule | [virtual] |
bpropDoesNothing() | PLearn::OnlineLearningModule | [inline, virtual] |
bpropUpdate(const Vec &input, const Vec &output, Vec &input_gradient, const Vec &output_gradient) | PLearn::NnlmOutputLayer | [virtual] |
PLearn::OnlineLearningModule::bpropUpdate(const Vec &input, const Vec &output, const Vec &output_gradient) | PLearn::OnlineLearningModule | [virtual] |
PLearn::OnlineLearningModule::bpropUpdate(const Mat &inputs, const Mat &outputs, const Mat &output_gradients) | PLearn::OnlineLearningModule | [virtual] |
PLearn::OnlineLearningModule::bpropUpdate(const TVec< Mat * > &ports_value, const TVec< Mat * > &ports_gradient) | PLearn::OnlineLearningModule | |
PLearn::OnlineLearningModule::bpropUpdate(const Vec &input, const Vec &output, Vec &input_gradient, const Vec &output_gradient, bool accumulate=false) | PLearn::OnlineLearningModule | [virtual] |
PLearn::OnlineLearningModule::bpropUpdate(const Mat &inputs, const Mat &outputs, Mat &input_gradients, const Mat &output_gradients, bool accumulate=false) | PLearn::OnlineLearningModule | [virtual] |
build() | PLearn::NnlmOutputLayer | [virtual] |
build_() | PLearn::NnlmOutputLayer | [private] |
call(const string &methodname, int nargs, PStream &io) | PLearn::Object | [virtual] |
candidates | PLearn::NnlmOutputLayer | |
changeOption(const string &optionname, const string &value) | PLearn::Object | |
changeOptions(const map< string, string > &name_value) | PLearn::Object | [virtual] |
checkProp(const TVec< Mat * > &ports_data) | PLearn::OnlineLearningModule | |
classname() const | PLearn::NnlmOutputLayer | [virtual] |
compute_approx_nl_p_t_r(const Vec &input, Vec &output) const | PLearn::NnlmOutputLayer | |
compute_nl_p_rt(const Vec &input, Vec &output) const | PLearn::NnlmOutputLayer | |
compute_nl_p_t_r(const Vec &input, Vec &output) const | PLearn::NnlmOutputLayer | |
computeApproxDiscriminantGradient() const | PLearn::NnlmOutputLayer | |
computeDiscriminantGradient() const | PLearn::NnlmOutputLayer | |
computeEmpiricalLearningRateParameters() | PLearn::NnlmOutputLayer | |
computeNonDiscriminantGradient() const | PLearn::NnlmOutputLayer | |
context | PLearn::NnlmOutputLayer | [mutable] |
context_cardinality | PLearn::NnlmOutputLayer | |
cost | PLearn::NnlmOutputLayer | |
COST_APPROX_DISCR enum value | PLearn::NnlmOutputLayer | |
COST_DISCR enum value | PLearn::NnlmOutputLayer | |
COST_NON_DISCR enum value | PLearn::NnlmOutputLayer | |
declareMethods(RemoteMethodMap &rmm) | PLearn::OnlineLearningModule | [protected, static] |
declareOptions(OptionList &ol) | PLearn::NnlmOutputLayer | [protected, static] |
declaringFile() | PLearn::NnlmOutputLayer | [inline, static] |
deepCopy(CopiesMap &copies) const | PLearn::NnlmOutputLayer | [virtual] |
deepCopyNoMap() | PLearn::Object | |
dl_decrease_constant | PLearn::NnlmOutputLayer | |
dl_lr | PLearn::NnlmOutputLayer | [mutable] |
dl_start_learning_rate | PLearn::NnlmOutputLayer | |
during_training | PLearn::OnlineLearningModule | [static] |
el_decrease_constant | PLearn::NnlmOutputLayer | |
el_dr | PLearn::NnlmOutputLayer | [mutable] |
el_last_update | PLearn::NnlmOutputLayer | |
el_start_discount_factor | PLearn::NnlmOutputLayer | |
el_start_learning_rate | PLearn::NnlmOutputLayer | |
estimate_simpler_diag_hessian | PLearn::OnlineLearningModule | |
expdir | PLearn::OnlineLearningModule | |
fd_gradient | PLearn::NnlmOutputLayer | [mutable] |
finalize() | PLearn::OnlineLearningModule | [inline, virtual] |
forget() | PLearn::NnlmOutputLayer | [virtual] |
fprop(const Vec &input, Vec &output) const | PLearn::NnlmOutputLayer | [virtual] |
PLearn::OnlineLearningModule::fprop(const Mat &inputs, Mat &outputs) | PLearn::OnlineLearningModule | [virtual] |
PLearn::OnlineLearningModule::fprop(const TVec< Mat * > &ports_value) | PLearn::OnlineLearningModule | [virtual] |
g_exponent | PLearn::NnlmOutputLayer | [mutable] |
getBestCandidates(const Vec &input, Vec &candidate_tags, Vec &probabilities) const | PLearn::NnlmOutputLayer | |
getOption(const string &optionname) const | PLearn::Object | |
getOptionList() const | PLearn::NnlmOutputLayer | [virtual] |
getOptionMap() const | PLearn::NnlmOutputLayer | [virtual] |
getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
getOptionsToSave() const | PLearn::Object | [virtual] |
getPortIndex(const string &port) | PLearn::OnlineLearningModule | [virtual] |
getPortLength(const string &port) | PLearn::OnlineLearningModule | |
getPortName(int i) | PLearn::OnlineLearningModule | |
getPorts() | PLearn::OnlineLearningModule | [virtual] |
getPortSizes() | PLearn::OnlineLearningModule | [virtual] |
getPortWidth(const string &port) | PLearn::OnlineLearningModule | |
getRemoteMethodMap() const | PLearn::NnlmOutputLayer | [virtual] |
global_mu | PLearn::NnlmOutputLayer | |
global_sigma2 | PLearn::NnlmOutputLayer | |
global_sumR | PLearn::NnlmOutputLayer | |
global_sumR2 | PLearn::NnlmOutputLayer | |
gradient_log_tmp | PLearn::NnlmOutputLayer | [mutable] |
gradient_log_tmp_neg | PLearn::NnlmOutputLayer | [mutable] |
gradient_log_tmp_pos | PLearn::NnlmOutputLayer | [mutable] |
hasOption(const string &optionname) const | PLearn::Object | |
info() const | PLearn::Object | [virtual] |
inherited typedef | PLearn::NnlmOutputLayer | [private] |
input_size | PLearn::OnlineLearningModule | |
is_learning | PLearn::NnlmOutputLayer | |
learning | PLearn::NnlmOutputLayer | |
LEARNING_DISCRIMINANT enum value | PLearn::NnlmOutputLayer | |
LEARNING_EMPIRICAL enum value | PLearn::NnlmOutputLayer | |
load(const PPath &filename) | PLearn::Object | [virtual] |
log_g_det_covariance | PLearn::NnlmOutputLayer | [mutable] |
log_g_normalization | PLearn::NnlmOutputLayer | [mutable] |
log_sum_p_ru | PLearn::NnlmOutputLayer | [mutable] |
makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::NnlmOutputLayer | [virtual] |
mu | PLearn::NnlmOutputLayer | |
name | PLearn::OnlineLearningModule | |
namedBpropAccUpdate(map< string, Mat > &values, map< string, Mat > &gradients, TVec< string > additional_input_gradients) | PLearn::OnlineLearningModule | [virtual] |
namedFprop(map< string, Mat > &inputs, TVec< string > wanted_outputs) | PLearn::OnlineLearningModule | [virtual] |
nd_gradient | PLearn::NnlmOutputLayer | [mutable] |
newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
newwrite(PStream &out) const | PLearn::Object | [virtual] |
NnlmOutputLayer() | PLearn::NnlmOutputLayer | |
nPorts() | PLearn::OnlineLearningModule | |
Object(bool call_build_=false) | PLearn::Object | |
oldread(istream &in) | PLearn::Object | [virtual] |
OnlineLearningModule(const string &the_name="", bool call_build_=false) | PLearn::OnlineLearningModule | |
output_size | PLearn::OnlineLearningModule | |
parseOptionName(const string &optionname, Object *&final_object, OptionList::iterator &option_iter, string &option_index) | PLearn::Object | |
parseOptionName(const string &optionname, const Object *&final_object, OptionList::iterator &option_iter, string &option_index) const | PLearn::Object | |
pi | PLearn::NnlmOutputLayer | |
port_sizes | PLearn::OnlineLearningModule | [protected] |
PPointable() | PLearn::PPointable | [inline] |
PPointable(const PPointable &other) | PLearn::PPointable | [inline] |
prepareToSendResults(PStream &out, int nres) | PLearn::Object | [static] |
random_gen | PLearn::OnlineLearningModule | |
read(istream &in) | PLearn::Object | [virtual] |
readOptionVal(PStream &in, const string &optionname, unsigned int id=UINT_MAX) | PLearn::Object | |
ref() const | PLearn::PPointable | [inline] |
resetAllClassVars() | PLearn::NnlmOutputLayer | |
resetParameters() | PLearn::NnlmOutputLayer | |
run() | PLearn::Object | [virtual] |
s | PLearn::NnlmOutputLayer | [mutable] |
s_sumI | PLearn::NnlmOutputLayer | [mutable] |
save(const PPath &filename) const | PLearn::Object | [virtual] |
setContext(int the_context) const | PLearn::NnlmOutputLayer | |
setCost(int the_cost) | PLearn::NnlmOutputLayer | |
setLearning(int the_learning) | PLearn::NnlmOutputLayer | |
setLearningRate(real dynamic_learning_rate) | PLearn::OnlineLearningModule | [virtual] |
setOption(const string &optionname, const string &value) | PLearn::Object | |
setTarget(int the_target) const | PLearn::NnlmOutputLayer | |
shared_candidates | PLearn::NnlmOutputLayer | |
sigma2 | PLearn::NnlmOutputLayer | |
sigma2min | PLearn::NnlmOutputLayer | |
step_number | PLearn::NnlmOutputLayer | |
sumI | PLearn::NnlmOutputLayer | |
sumR | PLearn::NnlmOutputLayer | |
sumR2 | PLearn::NnlmOutputLayer | |
target | PLearn::NnlmOutputLayer | [mutable] |
target_cardinality | PLearn::NnlmOutputLayer | |
the_real_target | PLearn::NnlmOutputLayer | [mutable] |
tmp_input_diag_hessian | PLearn::OnlineLearningModule | [mutable, protected] |
tmp_input_gradient | PLearn::OnlineLearningModule | [mutable, protected] |
tmpm_input_gradient | PLearn::OnlineLearningModule | [mutable, protected] |
umc | PLearn::NnlmOutputLayer | |
unref() const | PLearn::PPointable | [inline] |
updateClassVars(const int the_target, const Vec &the_input) | PLearn::NnlmOutputLayer | |
usage() const | PLearn::PPointable | [inline] |
use_fast_approximations | PLearn::OnlineLearningModule | |
vec_log_p_r_t | PLearn::NnlmOutputLayer | [mutable] |
vec_log_p_rg_t | PLearn::NnlmOutputLayer | [mutable] |
vec_log_p_rt | PLearn::NnlmOutputLayer | [mutable] |
verbosity | PLearn::OnlineLearningModule | |
write(ostream &out) const | PLearn::Object | [virtual] |
writeOptionVal(PStream &out, const string &optionname) const | PLearn::Object | |
~Object() | PLearn::Object | [virtual] |
~PPointable() | PLearn::PPointable | [inline, virtual] |