PLearn 0.1
PLearn::StackedAutoassociatorsNet Member List
This is the complete list of members for PLearn::StackedAutoassociatorsNet, including all inherited members.
_classname_()PLearn::StackedAutoassociatorsNet [static]
_getOptionList_()PLearn::StackedAutoassociatorsNet [static]
_getRemoteMethodMap_()PLearn::StackedAutoassociatorsNet [static]
_isa_(const Object *o)PLearn::StackedAutoassociatorsNet [static]
_new_instance_for_typemap_()PLearn::StackedAutoassociatorsNet [static]
_static_initialize_()PLearn::StackedAutoassociatorsNet [static]
_static_initializer_PLearn::StackedAutoassociatorsNet [static]
activation_gradientsPLearn::StackedAutoassociatorsNet [mutable, protected]
activation_gradients_mPLearn::StackedAutoassociatorsNet [mutable, protected]
activationsPLearn::StackedAutoassociatorsNet [mutable, protected]
activations_mPLearn::StackedAutoassociatorsNet [mutable, protected]
asString() const PLearn::Object [virtual]
asStringRemoteTransmit() const PLearn::Object [virtual]
autoassociator_expectation_indicesPLearn::StackedAutoassociatorsNet [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::StackedAutoassociatorsNet
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const PLearn::PLearner [virtual]
binary_masksPLearn::StackedAutoassociatorsNet [protected]
binary_sampling_noise_parameterPLearn::StackedAutoassociatorsNet
build()PLearn::StackedAutoassociatorsNet [virtual]
build_()PLearn::StackedAutoassociatorsNet [private]
build_classification_cost()PLearn::StackedAutoassociatorsNet [private]
build_costs()PLearn::StackedAutoassociatorsNet [private]
build_from_train_set()PLearn::PLearner [inline, protected, virtual]
build_layers_and_connections()PLearn::StackedAutoassociatorsNet [private]
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::StackedAutoassociatorsNet [virtual]
compute_all_test_costsPLearn::StackedAutoassociatorsNet
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::StackedAutoassociatorsNet [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::StackedAutoassociatorsNet [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::StackedAutoassociatorsNet [virtual]
computeOutputsAndCosts(const Mat &input, const Mat &target, Mat &output, Mat &costs) const PLearn::StackedAutoassociatorsNet [virtual]
connectionsPLearn::StackedAutoassociatorsNet
correlation_activation_gradientsPLearn::StackedAutoassociatorsNet [mutable, protected]
correlation_activation_gradients_mPLearn::StackedAutoassociatorsNet [mutable, protected]
correlation_activationsPLearn::StackedAutoassociatorsNet [mutable, protected]
correlation_activations_mPLearn::StackedAutoassociatorsNet [mutable, protected]
correlation_connectionsPLearn::StackedAutoassociatorsNet
correlation_expectation_gradientsPLearn::StackedAutoassociatorsNet [mutable, protected]
correlation_expectation_gradients_mPLearn::StackedAutoassociatorsNet [mutable, protected]
correlation_expectationsPLearn::StackedAutoassociatorsNet [mutable, protected]
correlation_expectations_mPLearn::StackedAutoassociatorsNet [mutable, protected]
correlation_layersPLearn::StackedAutoassociatorsNet [mutable, protected]
corrupt_input(const Vec &input, Vec &corrupted_input, int layer)PLearn::StackedAutoassociatorsNet [private]
corrupt_input(const Vec &input, Vec &corrupted_input, int layer, Vec &binary_mask)PLearn::StackedAutoassociatorsNet [private]
corrupted_autoassociator_expectationsPLearn::StackedAutoassociatorsNet [protected]
corrupted_data_weightPLearn::StackedAutoassociatorsNet
currently_trained_layerPLearn::StackedAutoassociatorsNet [protected]
data_weightPLearn::StackedAutoassociatorsNet
declareMethods(RemoteMethodMap &rmm)PLearn::StackedAutoassociatorsNet [protected, static]
declareOptions(OptionList &ol)PLearn::StackedAutoassociatorsNet [protected, static]
declaringFile()PLearn::StackedAutoassociatorsNet [inline, static]
deepCopy(CopiesMap &copies) const PLearn::StackedAutoassociatorsNet [virtual]
deepCopyNoMap()PLearn::Object
direct_activationsPLearn::StackedAutoassociatorsNet [mutable, protected]
direct_and_reconstruction_activation_gradientsPLearn::StackedAutoassociatorsNet [mutable, protected]
direct_and_reconstruction_activationsPLearn::StackedAutoassociatorsNet [mutable, protected]
direct_connectionsPLearn::StackedAutoassociatorsNet [mutable]
divide_input(const Vec &input, Vec &divided_input) const PLearn::StackedAutoassociatorsNet [private]
double_input(const Vec &input, Vec &doubled_input, bool double_grad=false) const PLearn::StackedAutoassociatorsNet [private]
doubled_expectation_gradientsPLearn::StackedAutoassociatorsNet [mutable, protected]
doubled_expectationsPLearn::StackedAutoassociatorsNet [mutable, protected]
expdirPLearn::PLearner
expectation_gradientsPLearn::StackedAutoassociatorsNet [mutable, protected]
expectation_gradients_mPLearn::StackedAutoassociatorsNet [mutable, protected]
expectation_meansPLearn::StackedAutoassociatorsNet [protected]
expectationsPLearn::StackedAutoassociatorsNet [mutable, protected]
expectations_mPLearn::StackedAutoassociatorsNet [mutable, protected]
fantasizeKTime(const int KTime, const Vec &srcImg, const Vec &sample, const Vec &maskNoiseFractOrProb, bool alwaysFromSrcImg)PLearn::StackedAutoassociatorsNet [private]
fantasizeKTimeOnMultiSrcImg(const int KTime, const Mat &srcImg, const Vec &sample, const Vec &maskNoiseFractOrProb, bool alwaysFromSrcImg)PLearn::StackedAutoassociatorsNet [private]
final_costPLearn::StackedAutoassociatorsNet
final_cost_gradientPLearn::StackedAutoassociatorsNet [mutable, protected]
final_cost_gradientsPLearn::StackedAutoassociatorsNet [mutable, protected]
final_cost_inputPLearn::StackedAutoassociatorsNet [mutable, protected]
final_cost_inputsPLearn::StackedAutoassociatorsNet [mutable, protected]
final_cost_valuePLearn::StackedAutoassociatorsNet [mutable, protected]
final_cost_valuesPLearn::StackedAutoassociatorsNet [mutable, protected]
final_cost_values_0PLearn::StackedAutoassociatorsNet [mutable, protected]
final_modulePLearn::StackedAutoassociatorsNet
finalize()PLearn::PLearner [virtual]
finalizedPLearn::PLearner
fine_tuning_decrease_ctPLearn::StackedAutoassociatorsNet
fine_tuning_learning_ratePLearn::StackedAutoassociatorsNet
fine_tuning_reconstruction_activation_gradientsPLearn::StackedAutoassociatorsNet [protected]
fine_tuning_reconstruction_activationsPLearn::StackedAutoassociatorsNet [protected]
fine_tuning_reconstruction_expectation_gradientsPLearn::StackedAutoassociatorsNet [protected]
fine_tuning_reconstruction_expectationsPLearn::StackedAutoassociatorsNet [protected]
fineTuningStep(const Vec &input, const Vec &target, Vec &train_costs)PLearn::StackedAutoassociatorsNet
fineTuningStep(const Mat &inputs, const Mat &targets, Mat &train_costs)PLearn::StackedAutoassociatorsNet
forget()PLearn::StackedAutoassociatorsNet [virtual]
forget_when_training_set_changesPLearn::PLearner [protected]
fraction_of_masked_inputsPLearn::StackedAutoassociatorsNet
gaussian_stdPLearn::StackedAutoassociatorsNet
getExperimentDirectory() const PLearn::PLearner [inline]
getOption(const string &optionname) const PLearn::Object
getOptionList() const PLearn::StackedAutoassociatorsNet [virtual]
getOptionMap() const PLearn::StackedAutoassociatorsNet [virtual]
getOptionsToRemoteTransmit() const PLearn::Object [virtual]
getOptionsToSave() const PLearn::Object [virtual]
getOutputNames() const PLearn::PLearner [virtual]
getRemoteMethodMap() const PLearn::StackedAutoassociatorsNet [virtual]
getTestCostIndex(const string &costname) const PLearn::PLearner
getTestCostNames() const PLearn::StackedAutoassociatorsNet [virtual]
getTrainCostIndex(const string &costname) const PLearn::PLearner
getTrainCostNames() const PLearn::StackedAutoassociatorsNet [virtual]
getTrainingSet() const PLearn::PLearner [inline]
getTrainRepresentations() const PLearn::StackedAutoassociatorsNet [inline]
getTrainStatsCollector()PLearn::PLearner [inline]
getValidationSet() const PLearn::PLearner [inline]
greedy_decrease_ctPLearn::StackedAutoassociatorsNet
greedy_learning_ratePLearn::StackedAutoassociatorsNet
greedy_stagesPLearn::StackedAutoassociatorsNet [protected]
greedy_target_connectionsPLearn::StackedAutoassociatorsNet
greedyStep(const Vec &input, const Vec &target, int index, Vec train_costs, Vec &representation)PLearn::StackedAutoassociatorsNet
greedyStep(const Mat &inputs, const Mat &targets, int index, Mat &train_costs)PLearn::StackedAutoassociatorsNet
hasOption(const string &optionname) const PLearn::Object
hidden_reconstruction_activation_gradientsPLearn::StackedAutoassociatorsNet [mutable, protected]
hidden_reconstruction_activationsPLearn::StackedAutoassociatorsNet [mutable, protected]
info() const PLearn::Object [virtual]
inherited typedefPLearn::StackedAutoassociatorsNet [private]
initTrain()PLearn::PLearner [protected]
inputsize() const PLearn::PLearner [virtual]
inputsize_PLearn::PLearner [protected]
isStatefulLearner() const PLearn::PLearner [virtual]
keep_online_representationsPLearn::StackedAutoassociatorsNet
l1_neuron_decayPLearn::StackedAutoassociatorsNet
l1_neuron_decay_centerPLearn::StackedAutoassociatorsNet
layersPLearn::StackedAutoassociatorsNet
learnerExpdirPLearn::StackedAutoassociatorsNet
load(const PPath &filename)PLearn::Object [virtual]
makeDeepCopyFromShallowCopy(CopiesMap &copies)PLearn::StackedAutoassociatorsNet [virtual]
mask_input_layer_onlyPLearn::StackedAutoassociatorsNet
mask_input_layer_only_in_unsupervised_fine_tuningPLearn::StackedAutoassociatorsNet
mask_with_meanPLearn::StackedAutoassociatorsNet
mask_with_pepper_saltPLearn::StackedAutoassociatorsNet
master_sends_testset_rowsPLearn::PLearner
minibatch_sizePLearn::StackedAutoassociatorsNet [protected]
missing_data_methodPLearn::StackedAutoassociatorsNet
n_examplesPLearn::PLearner [protected]
n_layersPLearn::StackedAutoassociatorsNet
nb_corrupted_layerPLearn::StackedAutoassociatorsNet
newread(PStream &in, unsigned int id=UINT_MAX)PLearn::Object
newwrite(PStream &out) const PLearn::Object [virtual]
noise_typePLearn::StackedAutoassociatorsNet
noisyPLearn::StackedAutoassociatorsNet
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::StackedAutoassociatorsNet
onlineStep(const Vec &input, const Vec &target, Vec &train_costs)PLearn::StackedAutoassociatorsNet
onlineStep(const Mat &inputs, const Mat &targets, Mat &train_costs)PLearn::StackedAutoassociatorsNet
outputsize() const PLearn::StackedAutoassociatorsNet [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_cost_valuePLearn::StackedAutoassociatorsNet [mutable, protected]
partial_cost_valuesPLearn::StackedAutoassociatorsNet [mutable, protected]
partial_cost_values_0PLearn::StackedAutoassociatorsNet [mutable, protected]
partial_costsPLearn::StackedAutoassociatorsNet
partial_costs_positionsPLearn::StackedAutoassociatorsNet [mutable, protected]
partial_costs_weightsPLearn::StackedAutoassociatorsNet
pep_salt_zero_centeredPLearn::StackedAutoassociatorsNet
PLearner()PLearn::PLearner
PPointable()PLearn::PPointable [inline]
PPointable(const PPointable &other)PLearn::PPointable [inline]
prepareToSendResults(PStream &out, int nres)PLearn::Object [static]
prob_salt_noisePLearn::StackedAutoassociatorsNet
probability_of_masked_inputsPLearn::StackedAutoassociatorsNet
probability_of_masked_targetPLearn::StackedAutoassociatorsNet
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_hiddenPLearn::StackedAutoassociatorsNet
reconstruction_activation_gradientsPLearn::StackedAutoassociatorsNet [mutable, protected]
reconstruction_activation_gradients_from_hid_recPLearn::StackedAutoassociatorsNet [mutable, protected]
reconstruction_activation_gradients_mPLearn::StackedAutoassociatorsNet [mutable, protected]
reconstruction_activationsPLearn::StackedAutoassociatorsNet [mutable, protected]
reconstruction_activations_mPLearn::StackedAutoassociatorsNet [mutable, protected]
reconstruction_connectionsPLearn::StackedAutoassociatorsNet
reconstruction_expectation_gradientsPLearn::StackedAutoassociatorsNet [mutable, protected]
reconstruction_expectation_gradients_from_hid_recPLearn::StackedAutoassociatorsNet [mutable, protected]
reconstruction_expectation_gradients_mPLearn::StackedAutoassociatorsNet [mutable, protected]
reconstruction_layersPLearn::StackedAutoassociatorsNet
reconstruction_weightsPLearn::StackedAutoassociatorsNet [mutable, protected]
ref() const PLearn::PPointable [inline]
remote_setCurrentlyTrainedLayer(int new_currently_trained_layer)PLearn::StackedAutoassociatorsNet [inline]
remote_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const PLearn::PLearner [virtual]
remote_useOnTrain() const PLearn::PLearner [virtual]
renoisingPLearn::StackedAutoassociatorsNet
report_progressPLearn::PLearner
resetInternalState()PLearn::PLearner [virtual]
run()PLearn::Object [virtual]
save(const PPath &filename) const PLearn::Object [virtual]
save_learner_before_fine_tuningPLearn::StackedAutoassociatorsNet
save_trainingset_prefixPLearn::PLearner
second_corrupted_autoassociator_expectationsPLearn::StackedAutoassociatorsNet [protected]
seed_PLearn::PLearner
setExperimentDirectory(const PPath &the_expdir)PLearn::PLearner [virtual]
setLearningRate(real the_learning_rate)PLearn::StackedAutoassociatorsNet [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]
StackedAutoassociatorsNet()PLearn::StackedAutoassociatorsNet
stagePLearn::PLearner
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const PLearn::PLearner [virtual]
target_vecPLearn::StackedAutoassociatorsNet [protected]
target_vec_gradientPLearn::StackedAutoassociatorsNet [protected]
targets_vecPLearn::StackedAutoassociatorsNet [protected]
targets_vec_gradientPLearn::StackedAutoassociatorsNet [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_minibatch_sizePLearn::PLearner
tmp_maskPLearn::StackedAutoassociatorsNet [protected]
tmp_outputPLearn::StackedAutoassociatorsNet [mutable, private]
tmp_output_matPLearn::StackedAutoassociatorsNet [mutable, private]
train()PLearn::StackedAutoassociatorsNet [virtual]
train_representationsPLearn::StackedAutoassociatorsNet [mutable, protected]
train_setPLearn::PLearner [protected]
train_statsPLearn::PLearner [protected]
train_stats_windowPLearn::StackedAutoassociatorsNet
training_schedulePLearn::StackedAutoassociatorsNet
unref() const PLearn::PPointable [inline]
unsupervised_fine_tuning_decrease_ctPLearn::StackedAutoassociatorsNet
unsupervised_fine_tuning_learning_ratePLearn::StackedAutoassociatorsNet
unsupervised_nstagesPLearn::StackedAutoassociatorsNet
unsupervised_stagePLearn::StackedAutoassociatorsNet
unsupervisedFineTuningStep(const Vec &input, const Vec &target, Vec &train_costs)PLearn::StackedAutoassociatorsNet
unsupervisedFineTuningStep(const Mat &inputs, const Mat &targets, Mat &train_costs)PLearn::StackedAutoassociatorsNet
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]
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