, including all inherited members.
_classname_() | PLearn::NatGradSMPNNet | [static] |
_getOptionList_() | PLearn::NatGradSMPNNet | [static] |
_getRemoteMethodMap_() | PLearn::NatGradSMPNNet | [static] |
_isa_(const Object *o) | PLearn::NatGradSMPNNet | [static] |
_new_instance_for_typemap_() | PLearn::NatGradSMPNNet | [static] |
_static_initialize_() | PLearn::NatGradSMPNNet | [static] |
_static_initializer_ | PLearn::NatGradSMPNNet | [static] |
activation_statistics_moving_average_coefficient | PLearn::NatGradSMPNNet | |
activations_scaling | PLearn::NatGradSMPNNet | [protected] |
all_mparams | PLearn::NatGradSMPNNet | [private] |
all_params | PLearn::NatGradSMPNNet | [private] |
all_params_delta | PLearn::NatGradSMPNNet | [private] |
all_params_gradient | PLearn::NatGradSMPNNet | [private] |
asString() const | PLearn::Object | [virtual] |
asStringRemoteTransmit() const | PLearn::Object | [virtual] |
b_costs | PLearn::PLearner | [mutable, protected] |
b_inputs | PLearn::PLearner | [mutable, protected] |
b_outputs | PLearn::PLearner | [mutable, protected] |
b_targets | PLearn::PLearner | [mutable, protected] |
b_weights | PLearn::PLearner | [mutable, protected] |
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const | PLearn::PLearner | [virtual] |
biases | PLearn::NatGradSMPNNet | [protected] |
build() | PLearn::NatGradSMPNNet | [virtual] |
build_() | PLearn::NatGradSMPNNet | [private] |
build_from_train_set() | PLearn::PLearner | [inline, protected, virtual] |
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::NatGradSMPNNet | [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::NatGradSMPNNet | [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::NatGradSMPNNet | [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] |
cumulative_training_time | PLearn::NatGradSMPNNet | [protected] |
declareMethods(RemoteMethodMap &rmm) | PLearn::NatGradSMPNNet | [protected, static] |
declareOptions(OptionList &ol) | PLearn::NatGradSMPNNet | [protected, static] |
declaringFile() | PLearn::NatGradSMPNNet | [inline, static] |
deepCopy(CopiesMap &copies) const | PLearn::NatGradSMPNNet | [virtual] |
deepCopyNoMap() | PLearn::Object | |
delayed_update | PLearn::NatGradSMPNNet | |
example_weights | PLearn::NatGradSMPNNet | [private] |
expdir | PLearn::PLearner | |
fbpropLoss(const Mat &output, const Mat &target, const Vec &example_weights, Mat &train_costs) const | PLearn::NatGradSMPNNet | [protected] |
finalize() | PLearn::PLearner | [virtual] |
finalized | PLearn::PLearner | |
forget() | PLearn::NatGradSMPNNet | [virtual] |
forget_when_training_set_changes | PLearn::PLearner | [protected] |
fpropNet(int n_examples, bool during_training) const | PLearn::NatGradSMPNNet | [protected] |
freeSharedMemory() | PLearn::NatGradSMPNNet | [private] |
full_natgrad | PLearn::NatGradSMPNNet | |
getExperimentDirectory() const | PLearn::PLearner | [inline] |
getOption(const string &optionname) const | PLearn::Object | |
getOptionList() const | PLearn::NatGradSMPNNet | [virtual] |
getOptionMap() const | PLearn::NatGradSMPNNet | [virtual] |
getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
getOptionsToSave() const | PLearn::Object | [virtual] |
getOutputNames() const | PLearn::PLearner | [virtual] |
getRemoteMethodMap() const | PLearn::NatGradSMPNNet | [virtual] |
getTestCostIndex(const string &costname) const | PLearn::PLearner | |
getTestCostNames() const | PLearn::NatGradSMPNNet | [virtual] |
getTrainCostIndex(const string &costname) const | PLearn::PLearner | |
getTrainCostNames() const | PLearn::NatGradSMPNNet | [virtual] |
getTrainingSet() const | PLearn::PLearner | [inline] |
getTrainStatsCollector() | PLearn::PLearner | [inline] |
getValidationSet() const | PLearn::PLearner | [inline] |
group_params | PLearn::NatGradSMPNNet | [private] |
group_params_delta | PLearn::NatGradSMPNNet | [private] |
group_params_gradient | PLearn::NatGradSMPNNet | [private] |
hasOption(const string &optionname) const | PLearn::Object | |
hidden_layer_sizes | PLearn::NatGradSMPNNet | |
info() const | PLearn::Object | [virtual] |
inherited typedef | PLearn::NatGradSMPNNet | [private] |
init_lrate | PLearn::NatGradSMPNNet | |
initTrain() | PLearn::PLearner | [protected] |
input_size_lrate_normalization_power | PLearn::NatGradSMPNNet | |
inputsize() const | PLearn::PLearner | [virtual] |
inputsize_ | PLearn::PLearner | [protected] |
isStatefulLearner() const | PLearn::PLearner | [virtual] |
layer_mparams | PLearn::NatGradSMPNNet | |
layer_params | PLearn::NatGradSMPNNet | |
layer_params_delta | PLearn::NatGradSMPNNet | [private] |
layer_params_gradient | PLearn::NatGradSMPNNet | [private] |
layer_params_update | PLearn::NatGradSMPNNet | [private] |
layer_sizes | PLearn::NatGradSMPNNet | [protected] |
load(const PPath &filename) | PLearn::Object | [virtual] |
lrate_decay | PLearn::NatGradSMPNNet | |
lrate_scale_factor | PLearn::NatGradSMPNNet | |
lrate_scale_factor_max_power | PLearn::NatGradSMPNNet | |
lrate_scale_factor_min_power | PLearn::NatGradSMPNNet | |
makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::NatGradSMPNNet | [virtual] |
master_sends_testset_rows | PLearn::PLearner | |
mean_activations | PLearn::NatGradSMPNNet | [protected] |
minibatch_size | PLearn::NatGradSMPNNet | |
mweights | PLearn::NatGradSMPNNet | [protected] |
n_examples | PLearn::PLearner | [protected] |
n_layers | PLearn::NatGradSMPNNet | [protected] |
NatGradSMPNNet() | PLearn::NatGradSMPNNet | |
neuron_extended_outputs_per_layer | PLearn::NatGradSMPNNet | [mutable, private] |
neuron_gradients | PLearn::NatGradSMPNNet | [private] |
neuron_gradients_per_layer | PLearn::NatGradSMPNNet | [private] |
neuron_outputs_per_layer | PLearn::NatGradSMPNNet | [mutable, private] |
neurons_natgrad_per_layer | PLearn::NatGradSMPNNet | |
neurons_natgrad_template | PLearn::NatGradSMPNNet | |
newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
newwrite(PStream &out) const | PLearn::Object | [virtual] |
noutputs | PLearn::NatGradSMPNNet | |
nservers | PLearn::PLearner | |
nstages | PLearn::PLearner | |
nsteps | PLearn::NatGradSMPNNet | [private] |
nTestCosts() const | PLearn::PLearner | [virtual] |
nTrainCosts() const | PLearn::PLearner | [virtual] |
Object(bool call_build_=false) | PLearn::Object | |
oldread(istream &in) | PLearn::Object | [virtual] |
onlineStep(int t, const Mat &targets, Mat &train_costs, Vec example_weights) | PLearn::NatGradSMPNNet | [protected] |
output_layer_L1_penalty_factor | PLearn::NatGradSMPNNet | |
output_layer_lrate_scale | PLearn::NatGradSMPNNet | |
output_type | PLearn::NatGradSMPNNet | |
outputsize() const | PLearn::NatGradSMPNNet | [virtual] |
parallelize_here | PLearn::PLearner | |
params_averaging_coeff | PLearn::NatGradSMPNNet | |
params_averaging_freq | PLearn::NatGradSMPNNet | |
params_id | PLearn::NatGradSMPNNet | [private] |
params_int_id | PLearn::NatGradSMPNNet | [private] |
params_int_ptr | PLearn::NatGradSMPNNet | [private] |
params_natgrad_per_group | PLearn::NatGradSMPNNet | |
params_natgrad_per_input_template | PLearn::NatGradSMPNNet | |
params_natgrad_template | PLearn::NatGradSMPNNet | |
params_ptr | PLearn::NatGradSMPNNet | [private] |
params_update | PLearn::NatGradSMPNNet | [private] |
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 | |
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] |
pv_acceleration | PLearn::NatGradSMPNNet | |
pv_gradstats | PLearn::NatGradSMPNNet | [protected] |
pv_initial_stepsize | PLearn::NatGradSMPNNet | |
pv_min_samples | PLearn::NatGradSMPNNet | |
pv_random_sample_step | PLearn::NatGradSMPNNet | |
pv_required_confidence | PLearn::NatGradSMPNNet | |
pv_stepsigns | PLearn::NatGradSMPNNet | [protected] |
pv_stepsizes | PLearn::NatGradSMPNNet | [protected] |
pvGradUpdate() | PLearn::NatGradSMPNNet | [protected] |
random_gen | PLearn::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_progress | PLearn::PLearner | |
resetInternalState() | PLearn::PLearner | [virtual] |
run() | PLearn::Object | [virtual] |
save(const PPath &filename) const | PLearn::Object | [virtual] |
save_trainingset_prefix | PLearn::PLearner | |
seed_ | PLearn::PLearner | |
self_adjusted_scaling_and_bias | PLearn::NatGradSMPNNet | |
semaphore_id | PLearn::NatGradSMPNNet | [private] |
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] |
stage | PLearn::PLearner | |
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner | [virtual] |
synchronize_update | PLearn::NatGradSMPNNet | |
target_mean_activation | PLearn::NatGradSMPNNet | |
target_stdev_activation | PLearn::NatGradSMPNNet | |
targets | PLearn::NatGradSMPNNet | [private] |
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_size | PLearn::PLearner | |
train() | PLearn::NatGradSMPNNet | [virtual] |
train_costs | PLearn::NatGradSMPNNet | [private] |
train_set | PLearn::PLearner | [protected] |
train_stats | PLearn::PLearner | [protected] |
unref() const | PLearn::PPointable | [inline] |
usage() const | PLearn::PPointable | [inline] |
use(VMat testset, VMat outputs) const | PLearn::PLearner | [virtual] |
use_a_separate_random_generator_for_testing | PLearn::PLearner | |
use_pvgrad | PLearn::NatGradSMPNNet | |
useOnTrain(Mat &outputs) const | PLearn::PLearner | [virtual] |
validation_set | PLearn::PLearner | [protected] |
var_activations | PLearn::NatGradSMPNNet | [protected] |
verbosity | PLearn::NatGradSMPNNet | |
wait_for_final_update | PLearn::NatGradSMPNNet | |
weights | PLearn::NatGradSMPNNet | [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 | |
~NatGradSMPNNet() | PLearn::NatGradSMPNNet | [virtual] |
~Object() | PLearn::Object | [virtual] |
~PPointable() | PLearn::PPointable | [inline, virtual] |