, including all inherited members.
_classname_() | PLearn::DistRepNNet | [static] |
_getOptionList_() | PLearn::DistRepNNet | [static] |
_getRemoteMethodMap_() | PLearn::DistRepNNet | [static] |
_isa_(const Object *o) | PLearn::DistRepNNet | [static] |
_new_instance_for_typemap_() | PLearn::DistRepNNet | [static] |
_static_initialize_() | PLearn::DistRepNNet | [static] |
_static_initializer_ | PLearn::DistRepNNet | [static] |
add_transfer_func(const Var &input, string transfer_func="default", VarArray mus=0, Var sigma=0) | PLearn::DistRepNNet | [protected] |
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] |
batch_size | PLearn::DistRepNNet | |
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const | PLearn::PLearner | [virtual] |
bias_decay | PLearn::DistRepNNet | |
build() | PLearn::DistRepNNet | [virtual] |
build_() | PLearn::DistRepNNet | [private] |
build_from_train_set() | PLearn::PLearner | [inline, protected, virtual] |
buildCosts(const Var &output, const Var &target, int task_index=-1) | PLearn::DistRepNNet | [protected] |
buildFuncs(VarArray &invars) | PLearn::DistRepNNet | [protected] |
buildOutputFromInput(int task_index) | PLearn::DistRepNNet | [protected] |
buildPenalties(int this_ntokens) | PLearn::DistRepNNet | [protected, virtual] |
buildSparseAffineTransform(VarArray weights, Var input, TVec< int > input_to_dict_index, int begin) | PLearn::DistRepNNet | [protected] |
buildSparseAffineTransformWeightPenalty(VarArray weights, Var input, TVec< int > input_to_dict_index, int begin, real weight_decay, real bias_decay=0, string penalty_type="L2_square") | PLearn::DistRepNNet | [protected] |
buildVarGraph(int task_index) | PLearn::DistRepNNet | [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] |
classname() const | PLearn::DistRepNNet | [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::DistRepNNet | [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::DistRepNNet | [virtual] |
computeOutputAndCosts(const Vec &input, const Vec &target, Vec &output, Vec &costs) const | PLearn::DistRepNNet | [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_funcs | PLearn::DistRepNNet | |
costs | PLearn::DistRepNNet | [protected] |
declareMethods(RemoteMethodMap &rmm) | PLearn::PLearner | [protected, static] |
declareOptions(OptionList &ol) | PLearn::DistRepNNet | [protected, static] |
declaringFile() | PLearn::DistRepNNet | [inline, static] |
deepCopy(CopiesMap &copies) const | PLearn::DistRepNNet | [virtual] |
deepCopyNoMap() | PLearn::Object | |
dictionaries | PLearn::DistRepNNet | |
direct_in_to_out | PLearn::DistRepNNet | |
direct_in_to_out_bias_decay | PLearn::DistRepNNet | |
direct_in_to_out_weight_decay | PLearn::DistRepNNet | |
direct_wout | PLearn::DistRepNNet | |
dist_rep | PLearn::DistRepNNet | |
dist_rep_dim | PLearn::DistRepNNet | |
DistRepNNet() | PLearn::DistRepNNet | |
do_not_change_params | PLearn::DistRepNNet | |
dp_all_targets | PLearn::DistRepNNet | |
dp_input | PLearn::DistRepNNet | |
expdir | PLearn::PLearner | |
extra_tasks | PLearn::DistRepNNet | |
f | PLearn::DistRepNNet | [mutable] |
fillWeights(const Var &weights, bool clear_first_row, int use_this_to_scale=-1) | PLearn::DistRepNNet | [protected] |
finalize() | PLearn::PLearner | [virtual] |
finalized | PLearn::PLearner | |
fixed_output_weights | PLearn::DistRepNNet | |
forget() | PLearn::DistRepNNet | [virtual] |
forget_when_training_set_changes | PLearn::PLearner | [protected] |
getExperimentDirectory() const | PLearn::PLearner | [inline] |
getOption(const string &optionname) const | PLearn::Object | |
getOptionList() const | PLearn::DistRepNNet | [virtual] |
getOptionMap() const | PLearn::DistRepNNet | [virtual] |
getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
getOptionsToSave() const | PLearn::Object | [virtual] |
getOutputNames() const | PLearn::PLearner | [virtual] |
getRemoteMethodMap() const | PLearn::DistRepNNet | [virtual] |
getTestCostIndex(const string &costname) const | PLearn::PLearner | |
getTestCostNames() const | PLearn::DistRepNNet | [virtual] |
getTokenDistRep(TVec< string > &token_features, Vec &dist_rep) | PLearn::DistRepNNet | |
getTrainCostIndex(const string &costname) const | PLearn::PLearner | |
getTrainCostNames() const | PLearn::DistRepNNet | [virtual] |
getTrainingSet() const | PLearn::PLearner | [inline] |
getTrainStatsCollector() | PLearn::PLearner | [inline] |
getValidationSet() const | PLearn::PLearner | [inline] |
hasOption(const string &optionname) const | PLearn::Object | |
hidden_transfer_func | PLearn::DistRepNNet | |
info() const | PLearn::Object | [virtual] |
inherited typedef | PLearn::DistRepNNet | [private] |
initialization_method | PLearn::DistRepNNet | |
initialize_sparse_params_to_zero | PLearn::DistRepNNet | |
initializeParams(bool set_seed=true, int task_index=-1) | PLearn::DistRepNNet | [protected, virtual] |
initTrain() | PLearn::PLearner | [protected] |
input | PLearn::DistRepNNet | |
input_dist_rep_predictor_bias_decay | PLearn::DistRepNNet | |
input_dist_rep_predictor_weight_decay | PLearn::DistRepNNet | |
input_to_dict_index | PLearn::DistRepNNet | [protected] |
inputsize() const | PLearn::PLearner | [virtual] |
inputsize_ | PLearn::PLearner | [protected] |
invars | PLearn::DistRepNNet | [protected] |
invars_extra_tasks | PLearn::DistRepNNet | [protected] |
isStatefulLearner() const | PLearn::PLearner | [virtual] |
layer1_bias_decay | PLearn::DistRepNNet | |
layer1_theta_predictor_bias_decay | PLearn::DistRepNNet | |
layer1_theta_predictor_weight_decay | PLearn::DistRepNNet | |
layer1_weight_decay | PLearn::DistRepNNet | |
layer2_bias_decay | PLearn::DistRepNNet | |
layer2_weight_decay | PLearn::DistRepNNet | |
load(const PPath &filename) | PLearn::Object | [virtual] |
makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::DistRepNNet | [virtual] |
margin | PLearn::DistRepNNet | |
master_sends_testset_rows | PLearn::PLearner | |
n_examples | PLearn::PLearner | [protected] |
newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
newwrite(PStream &out) const | PLearn::Object | [virtual] |
nfeatures_for_each_token | PLearn::DistRepNNet | |
nfeatures_per_token | PLearn::DistRepNNet | |
nhidden | PLearn::DistRepNNet | |
nhidden2 | PLearn::DistRepNNet | |
nhidden2_extra_tasks | PLearn::DistRepNNet | |
nhidden_dist_rep_predictor | PLearn::DistRepNNet | |
nhidden_extra_tasks | PLearn::DistRepNNet | |
nhidden_theta_predictor | PLearn::DistRepNNet | |
nservers | PLearn::PLearner | |
nstages | PLearn::PLearner | |
nTestCosts() const | PLearn::PLearner | [virtual] |
ntokens | PLearn::DistRepNNet | |
ntokens_extra_tasks | PLearn::DistRepNNet | |
nTrainCosts() const | PLearn::PLearner | [virtual] |
Object(bool call_build_=false) | PLearn::Object | |
oldread(istream &in) | PLearn::Object | [virtual] |
optimizer | PLearn::DistRepNNet | |
optimizer_extra_tasks | PLearn::DistRepNNet | |
options | PLearn::DistRepNNet | [mutable, private] |
outbias | PLearn::DistRepNNet | |
output | PLearn::DistRepNNet | [protected] |
output_comp | PLearn::DistRepNNet | [mutable, private] |
output_dist_rep_predictor_bias_decay | PLearn::DistRepNNet | |
output_dist_rep_predictor_weight_decay | PLearn::DistRepNNet | |
output_layer_bias_decay | PLearn::DistRepNNet | |
output_layer_theta_predictor_bias_decay | PLearn::DistRepNNet | |
output_layer_theta_predictor_weight_decay | PLearn::DistRepNNet | |
output_layer_weight_decay | PLearn::DistRepNNet | |
output_transfer_func | PLearn::DistRepNNet | |
outputsize() const | PLearn::DistRepNNet | [virtual] |
parallelize_here | PLearn::PLearner | |
paramf | PLearn::DistRepNNet | [mutable] |
params | PLearn::DistRepNNet | [protected] |
paramsvalues | PLearn::DistRepNNet | |
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_update_vars | PLearn::DistRepNNet | [protected] |
penalties | PLearn::DistRepNNet | [protected] |
penalty_type | PLearn::DistRepNNet | |
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_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] |
row | PLearn::DistRepNNet | [mutable, private] |
run() | PLearn::Object | [virtual] |
sampleweight | PLearn::DistRepNNet | |
save(const PPath &filename) const | PLearn::Object | [virtual] |
save_trainingset_prefix | PLearn::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] |
stage | PLearn::PLearner | |
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner | [virtual] |
target | PLearn::DistRepNNet | |
target_dict_index | PLearn::DistRepNNet | [protected] |
target_dictionary | PLearn::DistRepNNet | |
target_dist_rep | PLearn::DistRepNNet | |
target_values | PLearn::DistRepNNet | [mutable, 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_costf | PLearn::DistRepNNet | [mutable] |
test_costs | PLearn::DistRepNNet | [protected] |
test_minibatch_size | PLearn::PLearner | |
tf | PLearn::DistRepNNet | [mutable, private] |
token_features | PLearn::DistRepNNet | |
token_to_dist_rep | PLearn::DistRepNNet | [mutable] |
train() | PLearn::DistRepNNet | [virtual] |
train_set | PLearn::PLearner | [protected] |
train_stats | PLearn::PLearner | [protected] |
training_cost | PLearn::DistRepNNet | [protected] |
training_cost_extra_tasks | PLearn::DistRepNNet | [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_dist_reps | PLearn::DistRepNNet | |
use_extra_tasks_only_on_first_epoch | PLearn::DistRepNNet | |
use_output_weights_bases | PLearn::DistRepNNet | |
useOnTrain(Mat &outputs) const | PLearn::PLearner | [virtual] |
validation_set | PLearn::PLearner | [protected] |
verbosity | PLearn::PLearner | |
w1 | PLearn::DistRepNNet | |
w1theta | PLearn::DistRepNNet | |
w2 | PLearn::DistRepNNet | |
weight_decay | PLearn::DistRepNNet | |
weightsize() const | PLearn::PLearner | [virtual] |
weightsize_ | PLearn::PLearner | [protected] |
winputdistrep | PLearn::DistRepNNet | |
winputsparse | PLearn::DistRepNNet | |
winputsparse_bias_decay | PLearn::DistRepNNet | [protected] |
winputsparse_weight_decay | PLearn::DistRepNNet | [protected] |
wout | PLearn::DistRepNNet | |
woutdistrep | PLearn::DistRepNNet | |
wouttheta | PLearn::DistRepNNet | |
write(ostream &out) const | PLearn::Object | [virtual] |
writeOptionVal(PStream &out, const string &optionname) const | PLearn::Object | |
~DistRepNNet() | PLearn::DistRepNNet | [virtual] |
~Object() | PLearn::Object | [virtual] |
~PPointable() | PLearn::PPointable | [inline, virtual] |