PLearn::GraphicalBiText Member List

This is the complete list of members for PLearn::GraphicalBiText, including all inherited members.

_classname_()	PLearn::Object	[static]
_getOptionList_()	PLearn::Object	[static]
_isa_(Object *o)	PLearn::Object	[static]
_new_instance_for_typemap_()	PLearn::Object	[static]
_static_initialize_()	PLearn::Object	[static]
_static_initializer_	PLearn::Object	[static]
alpha_bn	PLearn::GraphicalBiText	[private]
alpha_joint	PLearn::GraphicalBiText	[private]
appendMeasurer(Measurer &measurer)	PLearn::Learner	[inline]
apply(const VMat &data, VMat outputs)	PLearn::Learner	[virtual]
applyAndComputeCosts(const VMat &data, VMat outputs, VMat costs)	PLearn::Learner	[virtual]
applyAndComputeCostsOnTestMat(const VMat &test_set, int i, const Mat &output_block, const Mat &cost_block)	PLearn::Learner	[virtual]
avg_objective	PLearn::Learner
avgsq_objective	PLearn::Learner
basename() const	PLearn::Learner
best_step	PLearn::Learner
BiSelect	PLearn::GraphicalBiText	[private]
build()	PLearn::GraphicalBiText	[virtual]
build_()	PLearn::GraphicalBiText	[private]
call(const string &methodname, int nargs, PStream &in_parameters, PStream &out_results)	PLearn::Object	[virtual]
changeOption(const string &optionname, const string &value)	PLearn::Object
changeOptions(const map< string, string > &name_value)	PLearn::Object	[virtual]
check_consitency()	PLearn::GraphicalBiText
check_set_pA()	PLearn::GraphicalBiText	[private]
classname() const	PLearn::Object	[virtual]
commNode	PLearn::GraphicalBiText	[private]
compute_BN_likelihood(int e, int f, bool update, real nb)	PLearn::GraphicalBiText	[private]
compute_efs_likelihood(int e, int f, int se)	PLearn::GraphicalBiText	[private]
compute_likelihood(Vec bitext_src, Vec bitext_tgt, string name, bool update)	PLearn::GraphicalBiText	[private]
compute_node_level()	PLearn::GraphicalBiText	[private]
compute_nodemap(int split_level)	PLearn::GraphicalBiText	[private]
compute_pMC()	PLearn::GraphicalBiText	[private]
compute_pTC()	PLearn::GraphicalBiText	[private]
compute_pTC(int word)	PLearn::GraphicalBiText	[private]
compute_train_likelihood(string name)	PLearn::GraphicalBiText
compute_valid_likelihood(string name)	PLearn::GraphicalBiText
computeCost(const Vec &input, const Vec &target, const Vec &output, const Vec &cost)	PLearn::Learner	[virtual]
computeCosts(const VVec &input, VVec &target, VVec &weight, Vec &costs)	PLearn::Learner	[virtual]
computeCosts(const VMat &data, VMat costs)	PLearn::Learner	[virtual]
computeCostsFromOutputs(const VVec &input, const Vec &output, const VVec &target, const VVec &weight, Vec &costs)	PLearn::Learner	[virtual]
computeKL()	PLearn::GraphicalBiText
computeLeaveOneOutCosts(const VMat &data, VMat costs)	PLearn::Learner	[virtual]
computeLeaveOneOutCosts(const VMat &data, VMat costsmat, CostFunc costf)	PLearn::Learner	[virtual]
computeOutput(const VVec &input, Vec &output)	PLearn::Learner	[virtual]
computeOutputAndCosts(const VVec &input, VVec &target, const VVec &weight, Vec &output, Vec &costs)	PLearn::Learner	[virtual]
computeTestStatistics(const VMat &costs)	PLearn::Learner
costNames() const	PLearn::Learner	[virtual]
costsize() const	PLearn::Learner	[virtual]
declareOptions(OptionList &ol)	PLearn::GraphicalBiText	[static]
deepCopy(CopiesMap &copies) const	PLearn::Object	[virtual]
default_vlog()	PLearn::Learner	[static]
distribute_pS_on_ancestors(int s, real probaToDistribute)	PLearn::GraphicalBiText	[private]
distributed_	PLearn::Learner	[protected]
dont_parallelize	PLearn::Learner
each_cpu_saves_its_errors	PLearn::Learner	[protected]
earlystop_max_degradation	PLearn::Learner
earlystop_max_degraded_steps	PLearn::Learner
earlystop_min_improvement	PLearn::Learner
earlystop_min_value	PLearn::Learner
earlystop_minval	PLearn::Learner
earlystop_previousval	PLearn::Learner	[protected]
earlystop_relative_changes	PLearn::Learner
earlystop_save_best	PLearn::Learner
earlystop_testresultindex	PLearn::Learner
earlystop_testsetnum	PLearn::Learner
epoch() const	PLearn::Learner	[inline]
epoch_	PLearn::Learner	[protected]
expdir	PLearn::Learner	[protected]
experiment_name	PLearn::Learner
force_saving_on_all_processes	PLearn::Learner	[static]
forget()	PLearn::Learner	[virtual]
freeTestResultsStreams()	PLearn::Learner	[protected]
getDeepestCommonAncestor(int s1, int s2)	PLearn::GraphicalBiText	[private]
getExperimentDirectory() const	PLearn::Learner	[inline]
getOption(const string &optionname) const	PLearn::Object
getOptionList() const	PLearn::Object	[virtual]
getOptionsToSave() const	PLearn::Object	[virtual]
getTestDuringTrain() const	PLearn::Learner	[inline]
getTestResultsStream(int k)	PLearn::Learner	[protected]
getTrainCost()	PLearn::Learner	[inline]
getTrainingSet()	PLearn::Learner	[inline]
getTrainObjectiveStream()	PLearn::Learner	[protected]
GraphicalBiText()	PLearn::GraphicalBiText
info() const	PLearn::Object	[virtual]
inherited typedef	PLearn::GraphicalBiText
init()	PLearn::GraphicalBiText	[private]
init_WSD()	PLearn::GraphicalBiText	[private]
inputsize() const	PLearn::Learner	[inline]
inputsize_	PLearn::Learner
key_file	PLearn::GraphicalBiText
KL	PLearn::GraphicalBiText	[private]
Learner(int the_inputsize=0, int the_targetsize=0, int the_outputsize=0)	PLearn::Learner
load(const string &filename="")	PLearn::Learner	[virtual]
loadBitext(string train_file_name, string valid_file_name, bool update_voc)	PLearn::GraphicalBiText	[private]
loadSensemap(string sensemap_file)	PLearn::GraphicalBiText
makeDeepCopyFromShallowCopy(CopiesMap &copies)	PLearn::Learner	[virtual]
measure(int step, const Vec &costs)	PLearn::Learner	[virtual]
PLearn::Measurer::measure(int t)	PLearn::Measurer	[inline, virtual]
measure_cpu_time_first	PLearn::Learner	[protected]
measurers	PLearn::Learner	[protected]
minibatch_size	PLearn::Learner
n_epoch	PLearn::GraphicalBiText
n_fields	PLearn::GraphicalBiText	[private]
n_test_examples	PLearn::GraphicalBiText
n_train_examples	PLearn::GraphicalBiText
nA	PLearn::GraphicalBiText	[private]
nEF	PLearn::GraphicalBiText	[private]
nES	PLearn::GraphicalBiText	[private]
nESbase	PLearn::GraphicalBiText	[private]
nESupbi	PLearn::GraphicalBiText	[private]
newread(PStream &in)	PLearn::Object
newtest(VMat testset, VecStatsCollector &test_stats, VMat testoutputs=0, VMat testcosts=0)	PLearn::Learner	[virtual]
newtrain(VecStatsCollector &train_stats)	PLearn::Learner	[virtual]
newwrite(PStream &out) const	PLearn::Object
nFS	PLearn::GraphicalBiText	[private]
nHS	PLearn::GraphicalBiText	[private]
nHSupbi	PLearn::GraphicalBiText	[private]
node_level	PLearn::GraphicalBiText	[private]
nodemap	PLearn::GraphicalBiText	[private]
nS	PLearn::GraphicalBiText	[private]
nSE	PLearn::GraphicalBiText	[private]
nSEbi	PLearn::GraphicalBiText	[private]
Object()	PLearn::Object
objectiveout	PLearn::Learner
oldread(istream &in)	PLearn::Learner	[virtual]
oldwrite(ostream &out) const	PLearn::Learner	[virtual]
ontology	PLearn::GraphicalBiText	[private]
openTestResultsStreams()	PLearn::Learner	[protected]
openTrainObjectiveStream()	PLearn::Learner	[protected]
optimize_interp_parameter(Vec tgt, Vec src, string name)	PLearn::GraphicalBiText	[private]
options	PLearn::Learner
output_dir	PLearn::GraphicalBiText
outputResultLineToFile(const string &filename, const Vec &results, bool append, const string &names)	PLearn::Learner	[protected]
outputsize() const	PLearn::Learner	[inline]
outputsize_	PLearn::Learner
pA	PLearn::GraphicalBiText	[private]
pC	PLearn::GraphicalBiText	[private]
pE	PLearn::GraphicalBiText	[private]
pEbase	PLearn::GraphicalBiText	[private]
pEF	PLearn::GraphicalBiText	[private]
pES	PLearn::GraphicalBiText	[private]
pESbase	PLearn::GraphicalBiText	[private]
pESupbi	PLearn::GraphicalBiText	[private]
pF	PLearn::GraphicalBiText	[private]
pFS	PLearn::GraphicalBiText	[private]
pH	PLearn::GraphicalBiText	[private]
pHbase	PLearn::GraphicalBiText	[private]
pHS	PLearn::GraphicalBiText	[private]
pHSupbi	PLearn::GraphicalBiText	[private]
pHupbi	PLearn::GraphicalBiText	[private]
PLEARN_DECLARE_ABSTRACT_OBJECT(Learner)	PLearn::Learner
PLEARN_DECLARE_OBJECT(GraphicalBiText)	PLearn::GraphicalBiText
pMC	PLearn::GraphicalBiText	[private]
PPointable()	PLearn::PPointable	[inline]
PPointable(const PPointable &other)	PLearn::PPointable	[inline]
prepareToSendResults(PStream &out, int nres)	PLearn::Object	[inline, protected]
print(string name)	PLearn::GraphicalBiText
PLearn::Learner::print(ostream &out) const	PLearn::Object	[virtual]
print_sensemap()	PLearn::GraphicalBiText	[private]
printHierarchy(string name)	PLearn::GraphicalBiText
printNode(int ss, ostream &out_hie)	PLearn::GraphicalBiText	[private]
pS	PLearn::GraphicalBiText	[private]
pSbase	PLearn::GraphicalBiText	[private]
pSE	PLearn::GraphicalBiText	[private]
pSEbi	PLearn::GraphicalBiText	[private]
pSupbi	PLearn::GraphicalBiText	[private]
pTC	PLearn::GraphicalBiText	[private]
read(istream &in)	PLearn::Object	[virtual]
readOptionVal(PStream &in, const string &optionname)	PLearn::Object
ref() const	PLearn::PPointable	[inline]
report_test_progress_every	PLearn::Learner
run()	PLearn::Object	[virtual]
save(const string &filename="") const	PLearn::Learner	[virtual]
save_at_every_epoch	PLearn::Learner
save_objective	PLearn::Learner
semcor_test_path	PLearn::GraphicalBiText
semcor_train_path	PLearn::GraphicalBiText
semcor_valid2_path	PLearn::GraphicalBiText
semcor_valid_path	PLearn::GraphicalBiText
sens_to_conceptAncestors	PLearn::GraphicalBiText	[private]
sense_size	PLearn::GraphicalBiText	[private]
sensemap	PLearn::GraphicalBiText	[private]
sensemap_file	PLearn::GraphicalBiText
sensemap_level	PLearn::GraphicalBiText
sensetag_valid_bitext(string name)	PLearn::GraphicalBiText
senseTagBitext(string name)	PLearn::GraphicalBiText
senseval2_train	PLearn::GraphicalBiText
senseval2_train_path	PLearn::GraphicalBiText
set_nodemap(int node, int word)	PLearn::GraphicalBiText	[private]
setEarlyStopping(int which_testset, int which_testresult, real max_degradation, real min_value=-FLT_MAX, real min_improvement=0, bool relative_changes=true, bool save_best=true, int max_degraded_steps=-1)	PLearn::Learner
setExperimentDirectory(const string &the_expdir)	PLearn::Learner	[virtual]
setModel(const Vec &new_options)	PLearn::Learner	[virtual]
setOption(const string &optionname, const string &value)	PLearn::Object
setTestCostFunctions(Array< CostFunc > costfunctions)	PLearn::Learner	[inline]
setTestDuringTrain(ostream &testout, int every, Array< VMat > testsets)	PLearn::Learner	[virtual]
setTestDuringTrain(Array< VMat > testsets)	PLearn::Learner	[virtual]
setTestStatistics(StatsItArray statistics)	PLearn::Learner	[inline]
setTrainCost(Vec &cost)	PLearn::Learner	[inline, protected]
setTrainingSet(VMat training_set, bool call_forget)	PLearn::GraphicalBiText
PLearn::Learner::setTrainingSet(VMat training_set)	PLearn::Learner	[inline, virtual]
source_id_to_word	PLearn::GraphicalBiText	[private]
source_path	PLearn::GraphicalBiText
source_voc	PLearn::GraphicalBiText
source_voc_size	PLearn::GraphicalBiText	[private]
source_word_to_id	PLearn::GraphicalBiText	[private]
source_wsd_voc_size	PLearn::GraphicalBiText	[private]
ss_size	PLearn::GraphicalBiText	[private]
stop_if_wanted()	PLearn::Learner	[virtual]
sum_cpC	PLearn::GraphicalBiText	[private]
sum_epEC	PLearn::GraphicalBiText	[private]
sum_fpFC	PLearn::GraphicalBiText	[private]
target_id_to_proba	PLearn::GraphicalBiText	[private]
target_id_to_word	PLearn::GraphicalBiText	[private]
target_voc	PLearn::GraphicalBiText
target_voc_size	PLearn::GraphicalBiText	[private]
target_word_to_id	PLearn::GraphicalBiText	[private]
target_word_to_senses	PLearn::GraphicalBiText	[private]
target_wsd_voc	PLearn::GraphicalBiText	[private]
target_wsd_voc_size	PLearn::GraphicalBiText	[private]
targetsize() const	PLearn::Learner	[inline]
targetsize_	PLearn::Learner
test()	PLearn::GraphicalBiText
PLearn::Learner::test(VMat test_set, const string &save_test_outputs="", const string &save_test_costs="")	PLearn::Learner	[virtual]
test_costfuncs	PLearn::Learner
test_every	PLearn::Learner
test_results_streams	PLearn::Learner	[protected]
test_sets	PLearn::Learner
test_statistics	PLearn::Learner
test_WSD(VMat wsd_test, string name, TVec< string > v, bool select, real interp=DEF_INTERP)	PLearn::GraphicalBiText
testout	PLearn::Learner
testResultsNames() const	PLearn::Learner	[virtual]
tmpvec	PLearn::Learner	[protected]
train(VMat training_set)	PLearn::GraphicalBiText	[virtual]
train(int n_epoch)	PLearn::GraphicalBiText
PLearn::Learner::train(VMat training_set, VMat accept_prob, real max_accept_prob=1.0, VMat weights=VMat())	PLearn::Learner	[inline, virtual]
train_bitext_src	PLearn::GraphicalBiText	[private]
train_bitext_tgt	PLearn::GraphicalBiText	[private]
train_cost	PLearn::Learner	[protected]
train_file	PLearn::GraphicalBiText
train_objective_stream	PLearn::Learner	[protected]
train_set	PLearn::Learner
trainObjectiveNames() const	PLearn::Learner	[virtual]
unref() const	PLearn::PPointable	[inline]
update_pWS(ProbSparseMatrix &, int, string)	PLearn::GraphicalBiText	[private]
update_threshold	PLearn::GraphicalBiText
update_WSD_model(string name)	PLearn::GraphicalBiText
usage() const	PLearn::PPointable	[inline]
use(const Vec &input, Vec &output)	PLearn::GraphicalBiText	[inline, virtual]
PLearn::Learner::use(const Mat &inputs, Mat outputs)	PLearn::Learner	[inline, virtual]
use_file_if_bigger	PLearn::Learner	[static]
useAndCost(const Vec &input, const Vec &target, Vec output, Vec cost)	PLearn::Learner	[virtual]
useAndCostOnTestVec(const VMat &test_set, int i, const Vec &output, const Vec &cost)	PLearn::Learner	[virtual]
valid_bitext_src	PLearn::GraphicalBiText	[private]
valid_bitext_tgt	PLearn::GraphicalBiText	[private]
valid_file	PLearn::GraphicalBiText
vec_input	PLearn::Learner
vlog	PLearn::Learner
weightsize() const	PLearn::Learner	[inline]
weightsize_	PLearn::Learner
window_size	PLearn::GraphicalBiText
write(ostream &out) const	PLearn::Object	[virtual]
writeOptionVal(PStream &out, const string &optionname) const	PLearn::Object
wsd_test	PLearn::GraphicalBiText
wsd_train	PLearn::GraphicalBiText
wsd_valid	PLearn::GraphicalBiText
wsd_valid2	PLearn::GraphicalBiText
~GraphicalBiText()	PLearn::GraphicalBiText	[virtual]
~Learner()	PLearn::Learner	[virtual]
~Measurer()	PLearn::Measurer	[virtual]
~Object()	PLearn::Object	[virtual]
~PPointable()	PLearn::PPointable	[inline, virtual]

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