PLearn 0.1
PLearn::DeepBeliefNet Member List
This is the complete list of members for PLearn::DeepBeliefNet, including all inherited members.
_classname_()PLearn::DeepBeliefNet [static]
_getOptionList_()PLearn::DeepBeliefNet [static]
_getRemoteMethodMap_()PLearn::DeepBeliefNet [static]
_isa_(const Object *o)PLearn::DeepBeliefNet [static]
_new_instance_for_typemap_()PLearn::DeepBeliefNet [static]
_static_initialize_()PLearn::DeepBeliefNet [static]
_static_initializer_PLearn::DeepBeliefNet [static]
activation_gradientsPLearn::DeepBeliefNet [mutable, protected]
activations_gradientsPLearn::DeepBeliefNet [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]
background_gibbs_update_ratioPLearn::DeepBeliefNet
batch_sizePLearn::DeepBeliefNet
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const PLearn::PLearner [virtual]
build()PLearn::DeepBeliefNet [virtual]
build_()PLearn::DeepBeliefNet [private]
build_classification_cost()PLearn::DeepBeliefNet [private]
build_costs()PLearn::DeepBeliefNet [private]
build_final_cost()PLearn::DeepBeliefNet [private]
build_from_train_set()PLearn::PLearner [inline, protected, virtual]
build_layers_and_connections()PLearn::DeepBeliefNet [private]
call(const string &methodname, int nargs, PStream &io)PLearn::Object [virtual]
cd_decrease_ctPLearn::DeepBeliefNet
cd_learning_ratePLearn::DeepBeliefNet
cd_neg_down_valsPLearn::DeepBeliefNet [mutable, protected]
cd_neg_up_valsPLearn::DeepBeliefNet [mutable, protected]
changeOption(const string &optionname, const string &value)PLearn::Object
changeOptions(const map< string, string > &name_value)PLearn::Object [virtual]
class_cost_indexPLearn::DeepBeliefNet [protected]
class_gradientPLearn::DeepBeliefNet [mutable, protected]
class_outputPLearn::DeepBeliefNet [mutable, protected]
classification_costPLearn::DeepBeliefNet
classification_modulePLearn::DeepBeliefNet
classname() const PLearn::DeepBeliefNet [virtual]
computeClassifAndFinalCostsFromOutputs(const Mat &inputs, const Mat &outputs, const Mat &targets, Mat &costs) const PLearn::DeepBeliefNet [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::DeepBeliefNet [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::DeepBeliefNet [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 &inputs, const Mat &targets, Mat &outputs, Mat &costs) const PLearn::DeepBeliefNet [virtual]
connectionsPLearn::DeepBeliefNet
contrastiveDivergenceStep(const PP< RBMLayer > &down_layer, const PP< RBMConnection > &connection, const PP< RBMLayer > &up_layer, int layer_index, bool nofprop=false)PLearn::DeepBeliefNet
corrupt_input(const Vec &input, Vec &corrupted_input, int layer)PLearn::DeepBeliefNet [private]
corrupted_pos_down_valPLearn::DeepBeliefNet [mutable, protected]
cost_namesPLearn::DeepBeliefNet
cumulative_schedulePLearn::DeepBeliefNet [protected]
cumulative_testing_timePLearn::DeepBeliefNet [mutable, protected]
cumulative_testing_time_cost_indexPLearn::DeepBeliefNet [protected]
cumulative_training_timePLearn::DeepBeliefNet [protected]
cumulative_training_time_cost_indexPLearn::DeepBeliefNet [protected]
declareMethods(RemoteMethodMap &rmm)PLearn::DeepBeliefNet [protected, static]
declareOptions(OptionList &ol)PLearn::DeepBeliefNet [protected, static]
declaringFile()PLearn::DeepBeliefNet [inline, static]
DeepBeliefNet()PLearn::DeepBeliefNet
deepCopy(CopiesMap &copies) const PLearn::DeepBeliefNet [virtual]
deepCopyNoMap()PLearn::Object
down_samplePLearn::DeepBeliefNet [mutable, protected]
expdirPLearn::PLearner
expectation_gradientsPLearn::DeepBeliefNet [mutable, protected]
expectation_indicesPLearn::DeepBeliefNet [protected]
expectations_gradientsPLearn::DeepBeliefNet [mutable, protected]
fantasizeKTime(const int KTime, const Vec &srcImg, const Vec &sample, bool alwaysFromSrcImg)PLearn::DeepBeliefNet [private]
fantasizeKTimeOnMultiSrcImg(const int KTime, const Mat &srcImg, const Vec &sample, bool alwaysFromSrcImg)PLearn::DeepBeliefNet [private]
final_costPLearn::DeepBeliefNet
final_cost_gradientPLearn::DeepBeliefNet [mutable, protected]
final_cost_gradientsPLearn::DeepBeliefNet [mutable, protected]
final_cost_indexPLearn::DeepBeliefNet [protected]
final_cost_inputPLearn::DeepBeliefNet [mutable, protected]
final_cost_inputsPLearn::DeepBeliefNet [mutable, protected]
final_cost_outputPLearn::DeepBeliefNet [mutable, protected]
final_cost_valuePLearn::DeepBeliefNet [mutable, protected]
final_cost_valuesPLearn::DeepBeliefNet [mutable, protected]
final_modulePLearn::DeepBeliefNet
finalize()PLearn::PLearner [virtual]
finalizedPLearn::PLearner
fineTuningStep(const Vec &input, const Vec &target, Vec &train_costs)PLearn::DeepBeliefNet
fineTuningStep(const Mat &inputs, const Mat &targets, Mat &train_costs)PLearn::DeepBeliefNet
forget()PLearn::DeepBeliefNet [virtual]
forget_when_training_set_changesPLearn::PLearner [protected]
fraction_of_masked_inputsPLearn::DeepBeliefNet
generative_connectionsPLearn::DeepBeliefNet [protected]
getExperimentDirectory() const PLearn::PLearner [inline]
getOption(const string &optionname) const PLearn::Object
getOptionList() const PLearn::DeepBeliefNet [virtual]
getOptionMap() const PLearn::DeepBeliefNet [virtual]
getOptionsToRemoteTransmit() const PLearn::Object [virtual]
getOptionsToSave() const PLearn::Object [virtual]
getOutputNames() const PLearn::PLearner [virtual]
getRemoteMethodMap() const PLearn::DeepBeliefNet [virtual]
getTestCostIndex(const string &costname) const PLearn::PLearner
getTestCostNames() const PLearn::DeepBeliefNet [virtual]
getTrainCostIndex(const string &costname) const PLearn::PLearner
getTrainCostNames() const PLearn::DeepBeliefNet [virtual]
getTrainingSet() const PLearn::PLearner [inline]
getTrainStatsCollector()PLearn::PLearner [inline]
getValidationSet() const PLearn::PLearner [inline]
gibbs_chain_reinit_freqPLearn::DeepBeliefNet
gibbs_down_statePLearn::DeepBeliefNet [mutable, protected]
grad_decrease_ctPLearn::DeepBeliefNet
grad_learning_ratePLearn::DeepBeliefNet
greedy_joint_connectionsPLearn::DeepBeliefNet [mutable, protected]
greedy_joint_layersPLearn::DeepBeliefNet [mutable, protected]
greedy_target_activation_gradientsPLearn::DeepBeliefNet [mutable, protected]
greedy_target_activationsPLearn::DeepBeliefNet [mutable, protected]
greedy_target_connectionsPLearn::DeepBeliefNet
greedy_target_expectation_gradientsPLearn::DeepBeliefNet [mutable, protected]
greedy_target_expectationsPLearn::DeepBeliefNet [mutable, protected]
greedy_target_layer_nlls_indexPLearn::DeepBeliefNet [protected]
greedy_target_layersPLearn::DeepBeliefNet
greedy_target_probability_gradientsPLearn::DeepBeliefNet [mutable, protected]
greedyStep(const Vec &input, const Vec &target, int index)PLearn::DeepBeliefNet
greedyStep(const Mat &inputs, const Mat &targets, int index, Mat &train_costs_m)PLearn::DeepBeliefNet
hasOption(const string &optionname) const PLearn::Object
i_output_layerPLearn::DeepBeliefNet
info() const PLearn::Object [virtual]
inherited typedefPLearn::DeepBeliefNet [private]
initialize_gibbs_chainPLearn::DeepBeliefNet [protected]
initTrain()PLearn::PLearner [protected]
inputsize() const PLearn::PLearner [virtual]
inputsize_PLearn::PLearner [protected]
isStatefulLearner() const PLearn::PLearner [virtual]
joint_layerPLearn::DeepBeliefNet
jointGreedyStep(const Vec &input, const Vec &target)PLearn::DeepBeliefNet
jointGreedyStep(const Mat &inputs, const Mat &targets)PLearn::DeepBeliefNet
layer_inputPLearn::DeepBeliefNet [mutable, protected]
layer_inputsPLearn::DeepBeliefNet [mutable, protected]
layersPLearn::DeepBeliefNet
learnerExpdirPLearn::DeepBeliefNet
load(const PPath &filename)PLearn::Object [virtual]
makeDeepCopyFromShallowCopy(CopiesMap &copies)PLearn::DeepBeliefNet [virtual]
mask_with_pepper_saltPLearn::DeepBeliefNet
master_sends_testset_rowsPLearn::PLearner
mean_field_contrastive_divergence_ratioPLearn::DeepBeliefNet
mf_cd_neg_down_valPLearn::DeepBeliefNet [mutable, protected]
mf_cd_neg_down_valsPLearn::DeepBeliefNet [mutable, protected]
mf_cd_neg_up_valPLearn::DeepBeliefNet [mutable, protected]
mf_cd_neg_up_valsPLearn::DeepBeliefNet [mutable, protected]
minibatch_sizePLearn::DeepBeliefNet [protected]
n_classesPLearn::DeepBeliefNet
n_examplesPLearn::PLearner [protected]
n_layersPLearn::DeepBeliefNet
newread(PStream &in, unsigned int id=UINT_MAX)PLearn::Object
newwrite(PStream &out) const PLearn::Object [virtual]
nll_cost_indexPLearn::DeepBeliefNet [protected]
noise_typePLearn::DeepBeliefNet
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]
onlinePLearn::DeepBeliefNet
onlineStep(const Vec &input, const Vec &target, Vec &train_costs)PLearn::DeepBeliefNet
onlineStep(const Mat &inputs, const Mat &targets, Mat &train_costs)PLearn::DeepBeliefNet
optimized_costsPLearn::DeepBeliefNet [protected]
outputsize() const PLearn::DeepBeliefNet [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
partial_costsPLearn::DeepBeliefNet
partial_costs_indicesPLearn::DeepBeliefNet [protected]
PLearner()PLearn::PLearner
pos_down_valPLearn::DeepBeliefNet [mutable, protected]
pos_down_valsPLearn::DeepBeliefNet [mutable, protected]
pos_up_valPLearn::DeepBeliefNet [mutable, protected]
pos_up_valsPLearn::DeepBeliefNet [mutable, protected]
PPointable()PLearn::PPointable [inline]
PPointable(const PPointable &other)PLearn::PPointable [inline]
prepareToSendResults(PStream &out, int nres)PLearn::Object [static]
prob_salt_noisePLearn::DeepBeliefNet
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
reconstruct_layerwisePLearn::DeepBeliefNet
reconstruction_cost_indexPLearn::DeepBeliefNet [protected]
reconstruction_costsPLearn::DeepBeliefNet [mutable, protected]
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_layer_activationPLearn::DeepBeliefNet [mutable, protected]
save_layer_activationsPLearn::DeepBeliefNet [protected]
save_layer_expectationPLearn::DeepBeliefNet [mutable, protected]
save_layer_expectationsPLearn::DeepBeliefNet [protected]
save_learner_before_fine_tuningPLearn::DeepBeliefNet
save_trainingset_prefixPLearn::PLearner
seed_PLearn::PLearner
setExperimentDirectory(const PPath &the_expdir)PLearn::PLearner [virtual]
setLearningRate(real the_learning_rate)PLearn::DeepBeliefNet [private]
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]
target_one_hotPLearn::DeepBeliefNet [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::DeepBeliefNet [virtual]
test_minibatch_sizePLearn::PLearner
timerPLearn::DeepBeliefNet
top_layer_joint_cdPLearn::DeepBeliefNet
train()PLearn::DeepBeliefNet [virtual]
train_setPLearn::PLearner [protected]
train_statsPLearn::PLearner [protected]
train_stats_windowPLearn::DeepBeliefNet
training_cpu_time_cost_indexPLearn::DeepBeliefNet [protected]
training_schedulePLearn::DeepBeliefNet
unref() const PLearn::PPointable [inline]
up_down_decrease_ctPLearn::DeepBeliefNet
up_down_learning_ratePLearn::DeepBeliefNet
up_down_nstagesPLearn::DeepBeliefNet
up_down_stagePLearn::DeepBeliefNet [protected]
up_samplePLearn::DeepBeliefNet [mutable, protected]
upDownStep(const Vec &input, const Vec &target, Vec &train_costs)PLearn::DeepBeliefNet
upDownStep(const Mat &inputs, const Mat &targets, Mat &train_costs)PLearn::DeepBeliefNet
usage() const PLearn::PPointable [inline]
use(VMat testset, VMat outputs) const PLearn::PLearner [virtual]
use_a_separate_random_generator_for_testingPLearn::PLearner
use_classification_costPLearn::DeepBeliefNet
use_corrupted_posDownValPLearn::DeepBeliefNet
use_sample_for_up_layerPLearn::DeepBeliefNet
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]
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