PLearn 0.1
PLearn::DiscriminativeDeepBeliefNet Member List
This is the complete list of members for PLearn::DiscriminativeDeepBeliefNet, including all inherited members.
_classname_()PLearn::DiscriminativeDeepBeliefNet [static]
_getOptionList_()PLearn::DiscriminativeDeepBeliefNet [static]
_getRemoteMethodMap_()PLearn::DiscriminativeDeepBeliefNet [static]
_isa_(const Object *o)PLearn::DiscriminativeDeepBeliefNet [static]
_new_instance_for_typemap_()PLearn::DiscriminativeDeepBeliefNet [static]
_static_initialize_()PLearn::DiscriminativeDeepBeliefNet [static]
_static_initializer_PLearn::DiscriminativeDeepBeliefNet [static]
activation_gradientsPLearn::DiscriminativeDeepBeliefNet [mutable, protected]
activationsPLearn::DiscriminativeDeepBeliefNet [mutable, protected]
asString() const PLearn::Object [virtual]
asStringRemoteTransmit() const PLearn::Object [virtual]
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]
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const PLearn::PLearner [virtual]
build()PLearn::DiscriminativeDeepBeliefNet [virtual]
build_()PLearn::DiscriminativeDeepBeliefNet [private]
build_from_train_set()PLearn::PLearner [inline, protected, virtual]
build_layers_and_connections()PLearn::DiscriminativeDeepBeliefNet [private]
build_output_layer_and_cost()PLearn::DiscriminativeDeepBeliefNet [private]
call(const string &methodname, int nargs, PStream &io)PLearn::Object [virtual]
cd_decrease_ctPLearn::DiscriminativeDeepBeliefNet
cd_learning_ratePLearn::DiscriminativeDeepBeliefNet
changeOption(const string &optionname, const string &value)PLearn::Object
changeOptions(const map< string, string > &name_value)PLearn::Object [virtual]
classname() const PLearn::DiscriminativeDeepBeliefNet [virtual]
compare_joint_in_discriminative_criteriaPLearn::DiscriminativeDeepBeliefNet
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::DiscriminativeDeepBeliefNet [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::DiscriminativeDeepBeliefNet [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]
computeRepresentation(const Vec &input, Vec &representation, int layer) const PLearn::DiscriminativeDeepBeliefNet
connectionsPLearn::DiscriminativeDeepBeliefNet
currently_trained_layerPLearn::DiscriminativeDeepBeliefNet [protected]
declareMethods(RemoteMethodMap &rmm)PLearn::PLearner [protected, static]
declareOptions(OptionList &ol)PLearn::DiscriminativeDeepBeliefNet [protected, static]
declaringFile()PLearn::DiscriminativeDeepBeliefNet [inline, static]
deepCopy(CopiesMap &copies) const PLearn::DiscriminativeDeepBeliefNet [virtual]
deepCopyNoMap()PLearn::Object
disc_neg_down_valPLearn::DiscriminativeDeepBeliefNet [protected]
disc_neg_up_valPLearn::DiscriminativeDeepBeliefNet [protected]
disc_pos_down_val1PLearn::DiscriminativeDeepBeliefNet [protected]
disc_pos_down_val2PLearn::DiscriminativeDeepBeliefNet [protected]
disc_pos_up_val1PLearn::DiscriminativeDeepBeliefNet [protected]
disc_pos_up_val2PLearn::DiscriminativeDeepBeliefNet [protected]
discriminative_criteria_weightPLearn::DiscriminativeDeepBeliefNet
DiscriminativeDeepBeliefNet()PLearn::DiscriminativeDeepBeliefNet
dissimilar_example_representationPLearn::DiscriminativeDeepBeliefNet [protected]
do_not_use_generative_criteriaPLearn::DiscriminativeDeepBeliefNet
expdirPLearn::PLearner
expectation_gradientsPLearn::DiscriminativeDeepBeliefNet [mutable, protected]
expectationsPLearn::DiscriminativeDeepBeliefNet [mutable, protected]
final_costPLearn::DiscriminativeDeepBeliefNet [protected]
final_cost_gradientPLearn::DiscriminativeDeepBeliefNet [mutable, protected]
final_cost_inputPLearn::DiscriminativeDeepBeliefNet [mutable, protected]
final_cost_valuePLearn::DiscriminativeDeepBeliefNet [mutable, protected]
final_modulePLearn::DiscriminativeDeepBeliefNet [protected]
finalize()PLearn::PLearner [virtual]
finalizedPLearn::PLearner
fine_tuning_decrease_ctPLearn::DiscriminativeDeepBeliefNet
fine_tuning_learning_ratePLearn::DiscriminativeDeepBeliefNet
fineTuningStep(const Vec &input, const Vec &target, Vec &train_costs)PLearn::DiscriminativeDeepBeliefNet
forget()PLearn::DiscriminativeDeepBeliefNet [virtual]
forget_when_training_set_changesPLearn::PLearner [protected]
getExperimentDirectory() const PLearn::PLearner [inline]
getOption(const string &optionname) const PLearn::Object
getOptionList() const PLearn::DiscriminativeDeepBeliefNet [virtual]
getOptionMap() const PLearn::DiscriminativeDeepBeliefNet [virtual]
getOptionsToRemoteTransmit() const PLearn::Object [virtual]
getOptionsToSave() const PLearn::Object [virtual]
getOutputNames() const PLearn::PLearner [virtual]
getRemoteMethodMap() const PLearn::DiscriminativeDeepBeliefNet [virtual]
getTestCostIndex(const string &costname) const PLearn::PLearner
getTestCostNames() const PLearn::DiscriminativeDeepBeliefNet [virtual]
getTrainCostIndex(const string &costname) const PLearn::PLearner
getTrainCostNames() const PLearn::DiscriminativeDeepBeliefNet [virtual]
getTrainingSet() const PLearn::PLearner [inline]
getTrainStatsCollector()PLearn::PLearner [inline]
getValidationSet() const PLearn::PLearner [inline]
greedy_connectionsPLearn::DiscriminativeDeepBeliefNet [protected]
greedy_layersPLearn::DiscriminativeDeepBeliefNet [protected]
greedy_stagesPLearn::DiscriminativeDeepBeliefNet [protected]
greedyStep(const Vec &input, const Vec &target, int index, Vec train_costs, int stage, Vec dissimilar_example)PLearn::DiscriminativeDeepBeliefNet
hasOption(const string &optionname) const PLearn::Object
info() const PLearn::Object [virtual]
inherited typedefPLearn::DiscriminativeDeepBeliefNet [private]
initTrain()PLearn::PLearner [protected]
input_representationPLearn::DiscriminativeDeepBeliefNet [mutable, protected]
inputsize() const PLearn::PLearner [virtual]
inputsize_PLearn::PLearner [protected]
isStatefulLearner() const PLearn::PLearner [virtual]
k_neighborsPLearn::DiscriminativeDeepBeliefNet
layersPLearn::DiscriminativeDeepBeliefNet
load(const PPath &filename)PLearn::Object [virtual]
makeDeepCopyFromShallowCopy(CopiesMap &copies)PLearn::DiscriminativeDeepBeliefNet [virtual]
master_sends_testset_rowsPLearn::PLearner
n_classesPLearn::DiscriminativeDeepBeliefNet
n_examplesPLearn::PLearner [protected]
n_layersPLearn::DiscriminativeDeepBeliefNet
nearest_neighbors_are_up_to_datePLearn::DiscriminativeDeepBeliefNet [protected]
nearest_neighbors_indicesPLearn::DiscriminativeDeepBeliefNet [protected]
neg_down_valPLearn::DiscriminativeDeepBeliefNet [protected]
neg_up_valPLearn::DiscriminativeDeepBeliefNet [protected]
newread(PStream &in, unsigned int id=UINT_MAX)PLearn::Object
newwrite(PStream &out) const PLearn::Object [virtual]
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]
other_class_datasetsPLearn::DiscriminativeDeepBeliefNet [protected]
output_weights_l1_penalty_factorPLearn::DiscriminativeDeepBeliefNet
output_weights_l2_penalty_factorPLearn::DiscriminativeDeepBeliefNet
outputsize() const PLearn::DiscriminativeDeepBeliefNet [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
PLearner()PLearn::PLearner
pos_down_valPLearn::DiscriminativeDeepBeliefNet [protected]
pos_up_valPLearn::DiscriminativeDeepBeliefNet [protected]
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
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
setExperimentDirectory(const PPath &the_expdir)PLearn::PLearner [virtual]
setLearningRate(real the_learning_rate)PLearn::DiscriminativeDeepBeliefNet [private]
setOption(const string &optionname, const string &value)PLearn::Object
setTrainingSet(VMat training_set, bool call_forget=true)PLearn::DiscriminativeDeepBeliefNet [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]
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_minibatch_sizePLearn::PLearner
train()PLearn::DiscriminativeDeepBeliefNet [virtual]
train_setPLearn::PLearner [protected]
train_statsPLearn::PLearner [protected]
training_schedulePLearn::DiscriminativeDeepBeliefNet
unref() const PLearn::PPointable [inline]
unsupervised_connectionsPLearn::DiscriminativeDeepBeliefNet
unsupervised_layersPLearn::DiscriminativeDeepBeliefNet
updateNearestNeighbors()PLearn::DiscriminativeDeepBeliefNet
usage() const PLearn::PPointable [inline]
use(VMat testset, VMat outputs) const PLearn::PLearner [virtual]
use_a_separate_random_generator_for_testingPLearn::PLearner
useOnTrain(Mat &outputs) const PLearn::PLearner [virtual]
validation_setPLearn::PLearner [protected]
verbosityPLearn::PLearner
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]
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Defines