PLearn 0.1
PLearn::DeepFeatureExtractorNNet Member List
This is the complete list of members for PLearn::DeepFeatureExtractorNNet, including all inherited members.
_classname_()PLearn::DeepFeatureExtractorNNet [static]
_getOptionList_()PLearn::DeepFeatureExtractorNNet [static]
_getRemoteMethodMap_()PLearn::DeepFeatureExtractorNNet [static]
_isa_(const Object *o)PLearn::DeepFeatureExtractorNNet [static]
_new_instance_for_typemap_()PLearn::DeepFeatureExtractorNNet [static]
_static_initialize_()PLearn::DeepFeatureExtractorNNet [static]
_static_initializer_PLearn::DeepFeatureExtractorNNet [static]
always_reconstruct_inputPLearn::DeepFeatureExtractorNNet
asString() const PLearn::Object [virtual]
asStringRemoteTransmit() const PLearn::Object [virtual]
autoassociator_paramsPLearn::DeepFeatureExtractorNNet [protected]
autoassociator_regularisation_weightPLearn::DeepFeatureExtractorNNet
autoassociator_training_costsPLearn::DeepFeatureExtractorNNet [protected]
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]
batch_sizePLearn::DeepFeatureExtractorNNet
batch_size_supervisedPLearn::DeepFeatureExtractorNNet
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const PLearn::PLearner [virtual]
bias_decayPLearn::DeepFeatureExtractorNNet
biasesPLearn::DeepFeatureExtractorNNet [protected]
build()PLearn::DeepFeatureExtractorNNet [virtual]
build_()PLearn::DeepFeatureExtractorNNet [private]
build_from_train_set()PLearn::PLearner [inline, protected, virtual]
buildCosts(const Var &output, const Var &target, const Var &unsupervised_target, const Var &before_transfer_func, const Var &output_sup)PLearn::DeepFeatureExtractorNNet [protected]
buildFuncs(const Var &the_input, const Var &the_output, const Var &the_target, const Var &the_sampleweight)PLearn::DeepFeatureExtractorNNet [protected]
buildOutputFromInput(const Var &the_input, Var &hidden_layer, Var &before_transfer_func)PLearn::DeepFeatureExtractorNNet [protected]
buildPenalties()PLearn::DeepFeatureExtractorNNet [protected, virtual]
buildTargetAndWeight()PLearn::DeepFeatureExtractorNNet [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]
classification_regularizerPLearn::DeepFeatureExtractorNNet
classname() const PLearn::DeepFeatureExtractorNNet [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::DeepFeatureExtractorNNet [virtual]
computeCostsOnly(const Vec &input, const Vec &target, Vec &costs) const PLearn::PLearner [virtual]
computeInputOutputConfMat(VMat inputs, real probability) const PLearn::PLearner
computeInputOutputMat(VMat inputs) const PLearn::PLearner
computeOutput(const Vec &input, Vec &output) const PLearn::DeepFeatureExtractorNNet [virtual]
computeOutputAndCosts(const Vec &input, const Vec &target, Vec &output, Vec &costs) const PLearn::DeepFeatureExtractorNNet [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]
cost_funcsPLearn::DeepFeatureExtractorNNet
costsPLearn::DeepFeatureExtractorNNet [protected]
declareMethods(RemoteMethodMap &rmm)PLearn::PLearner [protected, static]
declareOptions(OptionList &ol)PLearn::DeepFeatureExtractorNNet [protected, static]
declaringFile()PLearn::DeepFeatureExtractorNNet [inline, static]
deepCopy(CopiesMap &copies) const PLearn::DeepFeatureExtractorNNet [virtual]
deepCopyNoMap()PLearn::Object
DeepFeatureExtractorNNet()PLearn::DeepFeatureExtractorNNet
expdirPLearn::PLearner
fPLearn::DeepFeatureExtractorNNet [mutable, protected]
feature_vectorPLearn::DeepFeatureExtractorNNet [protected]
fillWeights(const Var &weights, bool fill_first_row, real fill_with_this=0)PLearn::DeepFeatureExtractorNNet [protected]
finalize()PLearn::PLearner [virtual]
finalizedPLearn::PLearner
forget()PLearn::DeepFeatureExtractorNNet [virtual]
forget_when_training_set_changesPLearn::PLearner [protected]
getExperimentDirectory() const PLearn::PLearner [inline]
getOption(const string &optionname) const PLearn::Object
getOptionList() const PLearn::DeepFeatureExtractorNNet [virtual]
getOptionMap() const PLearn::DeepFeatureExtractorNNet [virtual]
getOptionsToRemoteTransmit() const PLearn::Object [virtual]
getOptionsToSave() const PLearn::Object [virtual]
getOutputNames() const PLearn::PLearner [virtual]
getRemoteMethodMap() const PLearn::DeepFeatureExtractorNNet [virtual]
getTestCostIndex(const string &costname) const PLearn::PLearner
getTestCostNames() const PLearn::DeepFeatureExtractorNNet [virtual]
getTrainCostIndex(const string &costname) const PLearn::PLearner
getTrainCostNames() const PLearn::DeepFeatureExtractorNNet [virtual]
getTrainingSet() const PLearn::PLearner [inline]
getTrainStatsCollector()PLearn::PLearner [inline]
getValidationSet() const PLearn::PLearner [inline]
hasOption(const string &optionname) const PLearn::Object
hidden_representationPLearn::DeepFeatureExtractorNNet [protected]
hidden_transfer_funcPLearn::DeepFeatureExtractorNNet
hiddenLayer(const Var &input, const Var &weights, string transfer_func, Var &before_transfer_function, bool use_cubed_value=false)PLearn::DeepFeatureExtractorNNet [protected]
hiddenLayer(const Var &input, const Var &weights, const Var &bias, bool transpose_weights, string transfer_func, Var &before_transfer_function, bool use_cubed_value=false)PLearn::DeepFeatureExtractorNNet [protected]
info() const PLearn::Object [virtual]
inherited typedefPLearn::DeepFeatureExtractorNNet [private]
initialization_methodPLearn::DeepFeatureExtractorNNet
initTrain()PLearn::PLearner [protected]
inputPLearn::DeepFeatureExtractorNNet [protected]
input_reconstruction_errorPLearn::DeepFeatureExtractorNNet
inputsize() const PLearn::PLearner [virtual]
inputsize_PLearn::PLearner [protected]
invarsPLearn::DeepFeatureExtractorNNet [protected]
isStatefulLearner() const PLearn::PLearner [virtual]
k_nearest_neighbors_reconstructionPLearn::DeepFeatureExtractorNNet
knn_train_setPLearn::DeepFeatureExtractorNNet [protected]
load(const PPath &filename)PLearn::Object [virtual]
makeDeepCopyFromShallowCopy(CopiesMap &copies)PLearn::DeepFeatureExtractorNNet [virtual]
marginPLearn::DeepFeatureExtractorNNet
master_sends_testset_rowsPLearn::PLearner
n_examplesPLearn::PLearner [protected]
neighbor_indicesPLearn::DeepFeatureExtractorNNet [protected]
newread(PStream &in, unsigned int id=UINT_MAX)PLearn::Object
newwrite(PStream &out) const PLearn::Object [virtual]
nhidden_schedulePLearn::DeepFeatureExtractorNNet
nhidden_schedule_current_positionPLearn::DeepFeatureExtractorNNet [protected]
nhidden_schedule_positionPLearn::DeepFeatureExtractorNNet
noutputsPLearn::DeepFeatureExtractorNNet
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]
optimizerPLearn::DeepFeatureExtractorNNet
optimizer_supervisedPLearn::DeepFeatureExtractorNNet
outputPLearn::DeepFeatureExtractorNNet [protected]
output_and_target_to_costPLearn::DeepFeatureExtractorNNet [mutable, protected]
output_transfer_funcPLearn::DeepFeatureExtractorNNet
outputsize() const PLearn::DeepFeatureExtractorNNet [virtual]
parallelize_herePLearn::PLearner
paramsPLearn::DeepFeatureExtractorNNet [protected]
params_to_trainPLearn::DeepFeatureExtractorNNet [protected]
paramsvaluesPLearn::DeepFeatureExtractorNNet
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
penaltiesPLearn::DeepFeatureExtractorNNet [protected]
penalty_typePLearn::DeepFeatureExtractorNNet
PLearner()PLearn::PLearner
PPointable()PLearn::PPointable [inline]
PPointable(const PPointable &other)PLearn::PPointable [inline]
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
reconstruction_weightsPLearn::DeepFeatureExtractorNNet [protected]
ref() const PLearn::PPointable [inline]
regularizerPLearn::DeepFeatureExtractorNNet
relative_minimum_improvementPLearn::DeepFeatureExtractorNNet
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]
sampleweightPLearn::DeepFeatureExtractorNNet [protected]
save(const PPath &filename) const PLearn::Object [virtual]
save_trainingset_prefixPLearn::PLearner
seed_PLearn::PLearner
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]
stagePLearn::PLearner
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const PLearn::PLearner [virtual]
sup_train_setPLearn::DeepFeatureExtractorNNet [protected]
supervised_signal_weightPLearn::DeepFeatureExtractorNNet
targetPLearn::DeepFeatureExtractorNNet [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::PLearner [virtual]
test_costfPLearn::DeepFeatureExtractorNNet [mutable, protected]
test_costsPLearn::DeepFeatureExtractorNNet [protected]
test_minibatch_sizePLearn::PLearner
to_feature_vectorPLearn::DeepFeatureExtractorNNet [mutable, protected]
train()PLearn::DeepFeatureExtractorNNet [virtual]
train_setPLearn::PLearner [protected]
train_statsPLearn::PLearner [protected]
training_costPLearn::DeepFeatureExtractorNNet [protected]
unref() const PLearn::PPointable [inline]
unsup_train_setPLearn::DeepFeatureExtractorNNet [protected]
unsupervised_targetPLearn::DeepFeatureExtractorNNet [protected]
usage() const PLearn::PPointable [inline]
use(VMat testset, VMat outputs) const PLearn::PLearner [virtual]
use_a_separate_random_generator_for_testingPLearn::PLearner
use_activations_with_cubed_inputPLearn::DeepFeatureExtractorNNet
use_n_first_as_supervisedPLearn::DeepFeatureExtractorNNet
use_only_supervised_partPLearn::DeepFeatureExtractorNNet
use_same_input_and_output_weightsPLearn::DeepFeatureExtractorNNet
useOnTrain(Mat &outputs) const PLearn::PLearner [virtual]
validation_setPLearn::PLearner [protected]
verbosityPLearn::PLearner
weight_decayPLearn::DeepFeatureExtractorNNet
weightsPLearn::DeepFeatureExtractorNNet [protected]
weightsize() const PLearn::PLearner [virtual]
weightsize_PLearn::PLearner [protected]
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]
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