PLearn 0.1
PLearn::StructuralLearner Member List
This is the complete list of members for PLearn::StructuralLearner, including all inherited members.
_classname_()PLearn::StructuralLearner [static]
_getOptionList_()PLearn::StructuralLearner [static]
_getRemoteMethodMap_()PLearn::StructuralLearner [static]
_isa_(const Object *o)PLearn::StructuralLearner [static]
_new_instance_for_typemap_()PLearn::StructuralLearner [static]
_static_initialize_()PLearn::StructuralLearner [static]
_static_initializer_PLearn::StructuralLearner [static]
abstention_thresholdPLearn::StructuralLearner
activationsPLearn::StructuralLearner [mutable, protected]
activations_gradientPLearn::StructuralLearner [mutable, protected]
asString() const PLearn::Object [virtual]
asStringRemoteTransmit() const PLearn::Object [virtual]
auxiliary_indices_currentPLearn::StructuralLearner [protected]
auxiliary_indices_leftPLearn::StructuralLearner [protected]
auxiliary_task_train_setPLearn::StructuralLearner
b_costsPLearn::PLearner [mutable, protected]
b_inputsPLearn::PLearner [mutable, protected]
b_outputsPLearn::PLearner [mutable, protected]
b_targetsPLearn::PLearner [mutable, protected]
b_weightsPLearn::PLearner [mutable, protected]
bad_class_softmax_gradientPLearn::StructuralLearner [mutable, protected]
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const PLearn::PLearner [virtual]
before_softmaxPLearn::StructuralLearner [mutable, protected]
best_errorPLearn::StructuralLearner [protected]
build()PLearn::StructuralLearner [virtual]
build_()PLearn::StructuralLearner [private]
build_from_train_set()PLearn::PLearner [inline, protected, virtual]
buildTasksParameters(int nout, TVec< unsigned int > feat_lengths)PLearn::StructuralLearner [protected]
buildThetaParameters(TVec< unsigned int > feat_lengths)PLearn::StructuralLearner [protected]
call(const string &methodname, int nargs, PStream &io)PLearn::Object [virtual]
changeOption(const string &optionname, const string &value)PLearn::Object
changeOptions(const map< string, string > &name_value)PLearn::Object [virtual]
classname() const PLearn::StructuralLearner [virtual]
computeConfidenceFromOutput(const Vec &input, const Vec &output, real probability, TVec< pair< real, real > > &intervals) const PLearn::PLearner [virtual]
computeCostsFromOutputs(const Vec &input, const Vec &output, const Vec &target, Vec &costs) const PLearn::StructuralLearner [virtual]
computeCostsOnly(const Vec &input, const Vec &target, Vec &costs) const PLearn::PLearner [virtual]
computeFeatures(const Vec &input, const Vec &target, int data_set, int index, TVec< TVec< unsigned int > > &theFeatureGroups, char featureMask=0x1F) const PLearn::StructuralLearner
computeInputOutputConfMat(VMat inputs, real probability) const PLearn::PLearner
computeInputOutputMat(VMat inputs) const PLearn::PLearner
computeOutput(const Vec &input, Vec &output) const PLearn::StructuralLearner [virtual]
computeOutputAndCosts(const Vec &input, const Vec &target, Vec &output, Vec &costs) const PLearn::PLearner [virtual]
computeOutputConfMat(VMat inputs, real probability) const PLearn::PLearner
computeOutputCovMat(const Mat &inputs, Mat &outputs, TVec< Mat > &covariance_matrices) const PLearn::PLearner [virtual]
computeOutputs(const Mat &input, Mat &output) const PLearn::PLearner [virtual]
computeOutputsAndCosts(const Mat &input, const Mat &target, Mat &output, Mat &costs) const PLearn::PLearner [virtual]
computeOutputWithFeatures(TVec< TVec< unsigned int > > &feats, Vec &output, bool use_theta=true, int begin_class=-1, int end_class=-1) const PLearn::StructuralLearner [virtual]
costsPLearn::StructuralLearner [mutable, protected]
current_errorPLearn::StructuralLearner [protected]
current_featuresPLearn::StructuralLearner [mutable, protected]
currentFeatureGroupPLearn::StructuralLearner [mutable, protected]
declareMethods(RemoteMethodMap &rmm)PLearn::PLearner [protected, static]
declareOptions(OptionList &ol)PLearn::StructuralLearner [protected, static]
declaringFile()PLearn::StructuralLearner [inline, static]
decrease_constantPLearn::StructuralLearner
deepCopy(CopiesMap &copies) const PLearn::StructuralLearner [virtual]
deepCopyNoMap()PLearn::Object
epsilonPLearn::StructuralLearner
expdirPLearn::PLearner
featsPLearn::StructuralLearner [mutable, protected]
finalize()PLearn::PLearner [virtual]
finalizedPLearn::PLearner
flPLearn::StructuralLearner [mutable, protected]
flsPLearn::StructuralLearner [mutable, protected]
forget()PLearn::StructuralLearner [virtual]
forget_when_training_set_changesPLearn::PLearner [protected]
getExperimentDirectory() const PLearn::PLearner [inline]
getOption(const string &optionname) const PLearn::Object
getOptionList() const PLearn::StructuralLearner [virtual]
getOptionMap() const PLearn::StructuralLearner [virtual]
getOptionsToRemoteTransmit() const PLearn::Object [virtual]
getOptionsToSave() const PLearn::Object [virtual]
getOutputNames() const PLearn::PLearner [virtual]
getRemoteMethodMap() const PLearn::StructuralLearner [virtual]
getTestCostIndex(const string &costname) const PLearn::PLearner
getTestCostNames() const PLearn::StructuralLearner [virtual]
getTrainCostIndex(const string &costname) const PLearn::PLearner
getTrainCostNames() const PLearn::StructuralLearner [virtual]
getTrainingSet() const PLearn::PLearner [inline]
getTrainStatsCollector()PLearn::PLearner [inline]
getValidationSet() const PLearn::PLearner [inline]
good_class_softmax_gradientPLearn::StructuralLearner [mutable, protected]
hasOption(const string &optionname) const PLearn::Object
index_OPLearn::StructuralLearner
info() const PLearn::Object [virtual]
inherited typedefPLearn::StructuralLearner [private]
initializeParams(bool set_seed=true)PLearn::StructuralLearner [protected, virtual]
initPreviousLabelCurrentWordBigramMapping()PLearn::StructuralLearner [protected]
initTrain()PLearn::PLearner [protected]
initWordProblemsStructures()PLearn::StructuralLearner [protected]
inputPLearn::StructuralLearner [mutable, protected]
inputsize() const PLearn::PLearner [virtual]
inputsize_PLearn::PLearner [protected]
isStatefulLearner() const PLearn::PLearner [virtual]
lambdaPLearn::StructuralLearner
learning_ratePLearn::StructuralLearner [protected]
load(const PPath &filename)PLearn::Object [virtual]
makeDeepCopyFromShallowCopy(CopiesMap &copies)PLearn::StructuralLearner [virtual]
master_sends_testset_rowsPLearn::PLearner
max_stagePLearn::StructuralLearner
n_auxiliary_wordproblemsPLearn::StructuralLearner
n_examplesPLearn::PLearner [protected]
newread(PStream &in, unsigned int id=UINT_MAX)PLearn::Object
newwrite(PStream &out) const PLearn::Object [virtual]
nhiddenPLearn::StructuralLearner
nserversPLearn::PLearner
nstagesPLearn::PLearner
nTestCosts() const PLearn::PLearner [virtual]
nTrainCosts() const PLearn::PLearner [virtual]
Object(bool call_build_=false)PLearn::Object
oldread(istream &in)PLearn::Object [virtual]
outputPLearn::StructuralLearner [mutable, protected]
outputsize() const PLearn::StructuralLearner [virtual]
parallelize_herePLearn::PLearner
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
plcw_bigram_mappingPLearn::StructuralLearner [mutable, protected]
PLearner()PLearn::PLearner
PPointable()PLearn::PPointable [inline]
PPointable(const PPointable &other)PLearn::PPointable [inline]
predsPLearn::StructuralLearner [protected]
prepareToSendResults(PStream &out, int nres)PLearn::Object [static]
processDataSet(VMat dataset) const PLearn::PLearner [virtual]
random_genPLearn::PLearner [mutable, protected]
read(istream &in)PLearn::Object [virtual]
readOptionVal(PStream &in, const string &optionname, unsigned int id=UINT_MAX)PLearn::Object
ref() const PLearn::PPointable [inline]
remote_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const PLearn::PLearner [virtual]
remote_useOnTrain() const PLearn::PLearner [virtual]
report_progressPLearn::PLearner
resetInternalState()PLearn::PLearner [virtual]
run()PLearn::Object [virtual]
save(const PPath &filename) const PLearn::Object [virtual]
save_trainingset_prefixPLearn::PLearner
seed_PLearn::PLearner
separate_featuresPLearn::StructuralLearner
setExperimentDirectory(const PPath &the_expdir)PLearn::PLearner [virtual]
setOption(const string &optionname, const string &value)PLearn::Object
setTrainingSet(VMat training_set, bool call_forget=true)PLearn::PLearner [virtual]
setTrainStatsCollector(PP< VecStatsCollector > statscol)PLearn::PLearner [virtual]
setValidationSet(VMat validset)PLearn::PLearner [virtual]
sizePLearn::StructuralLearner [mutable, protected]
stagePLearn::PLearner
start_learning_ratePLearn::StructuralLearner
StructuralLearner()PLearn::StructuralLearner
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const PLearn::PLearner [virtual]
symbolPLearn::StructuralLearner [mutable, protected]
tagPLearn::StructuralLearner [mutable, protected]
targetPLearn::StructuralLearner [mutable, protected]
targetsize() const PLearn::PLearner [virtual]
targetsize_PLearn::PLearner [protected]
test(VMat testset, PP< VecStatsCollector > test_stats, VMat testoutputs=0, VMat testcosts=0) const PLearn::StructuralLearner [virtual]
test_minibatch_sizePLearn::PLearner
thetahidsPLearn::StructuralLearner [mutable, protected]
thetahids_times_xPLearn::StructuralLearner [mutable, protected]
thetasPLearn::StructuralLearner [mutable, protected]
thetas_times_xPLearn::StructuralLearner [mutable, protected]
train()PLearn::StructuralLearner [virtual]
train_setPLearn::PLearner [protected]
train_statsPLearn::PLearner [protected]
unref() const PLearn::PPointable [inline]
updateFeatures(const Vec &input, const Vec &target, TVec< TVec< unsigned int > > &theFeatureGroups, char featureMask=0x1F) const PLearn::StructuralLearner
usage() const PLearn::PPointable [inline]
use(VMat testset, VMat outputs) const PLearn::PLearner [virtual]
use_a_separate_random_generator_for_testingPLearn::PLearner
use_thetas_for_hidden_weightsPLearn::StructuralLearner
use_thetas_for_output_weightsPLearn::StructuralLearner
useOnTrain(Mat &outputs) const PLearn::PLearner [virtual]
validation_setPLearn::PLearner [protected]
verbosityPLearn::PLearner
vhidsPLearn::StructuralLearner [mutable, protected]
viterbi_tablePLearn::StructuralLearner [mutable, protected]
vsPLearn::StructuralLearner [mutable, protected]
vs_times_thetasPLearn::StructuralLearner [mutable, protected]
weightPLearn::StructuralLearner [mutable, protected]
weightsize() const PLearn::PLearner [virtual]
weightsize_PLearn::PLearner [protected]
whidsPLearn::StructuralLearner [mutable, protected]
write(ostream &out) const PLearn::Object [virtual]
writeOptionVal(PStream &out, const string &optionname) const PLearn::Object
wsPLearn::StructuralLearner [mutable, protected]
~Object()PLearn::Object [virtual]
~PPointable()PLearn::PPointable [inline, virtual]
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