PLearn 0.1
PLearn::FeatureSetNNet Member List
This is the complete list of members for PLearn::FeatureSetNNet, including all inherited members.
_classname_()PLearn::FeatureSetNNet [static]
_getOptionList_()PLearn::FeatureSetNNet [static]
_getRemoteMethodMap_()PLearn::FeatureSetNNet [static]
_isa_(const Object *o)PLearn::FeatureSetNNet [static]
_new_instance_for_typemap_()PLearn::FeatureSetNNet [static]
_static_initialize_()PLearn::FeatureSetNNet [static]
_static_initializer_PLearn::FeatureSetNNet [static]
add_affine_transform(Vec input, Mat weights, Vec bias, Vec output, bool input_is_sparse, bool output_is_sparse, Vec output_indices=Vec(0)) const PLearn::FeatureSetNNet [protected]
add_transfer_func(const Vec &input, string transfer_func="default") const PLearn::FeatureSetNNet [protected]
asString() const PLearn::Object [virtual]
asStringRemoteTransmit() const PLearn::Object [virtual]
b1PLearn::FeatureSetNNet
b2PLearn::FeatureSetNNet
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::FeatureSetNNet
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const PLearn::FeatureSetNNet [protected, virtual]
bias_decayPLearn::FeatureSetNNet
boutPLearn::FeatureSetNNet
bout_dist_repPLearn::FeatureSetNNet
bprop(Vec &inputv, Vec &outputv, Vec &targetv, Vec &costsv, real learning_rate, real sampleweight=1)PLearn::FeatureSetNNet [protected]
build()PLearn::FeatureSetNNet [virtual]
build_()PLearn::FeatureSetNNet [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]
classification_loss(const Vec &outputv, int target) const PLearn::FeatureSetNNet [private]
classname() const PLearn::FeatureSetNNet [virtual]
clearProppathGradient()PLearn::FeatureSetNNet [protected]
compute_softmax(const Vec &x, const Vec &y) const PLearn::FeatureSetNNet [private]
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::FeatureSetNNet [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::FeatureSetNNet [virtual]
computeOutputAndCosts(const Vec &input, const Vec &target, Vec &output, Vec &costs) const PLearn::FeatureSetNNet [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_funcsPLearn::FeatureSetNNet
declareMethods(RemoteMethodMap &rmm)PLearn::PLearner [protected, static]
declareOptions(OptionList &ol)PLearn::FeatureSetNNet [protected, static]
declaringFile()PLearn::FeatureSetNNet [inline, static]
decrease_constantPLearn::FeatureSetNNet
deepCopy(CopiesMap &copies) const PLearn::FeatureSetNNet [virtual]
deepCopyNoMap()PLearn::Object
direct_boutPLearn::FeatureSetNNet
direct_in_to_outPLearn::FeatureSetNNet
direct_in_to_out_weight_decayPLearn::FeatureSetNNet
direct_woutPLearn::FeatureSetNNet
dist_rep_dimPLearn::FeatureSetNNet
expdirPLearn::PLearner
fPLearn::FeatureSetNNet [mutable, private]
feat_inputPLearn::FeatureSetNNet [mutable, protected]
feat_setsPLearn::FeatureSetNNet
featsPLearn::FeatureSetNNet [mutable, private]
feats_since_last_updatePLearn::FeatureSetNNet [protected]
FeatureSetNNet()PLearn::FeatureSetNNet
fillWeights(const Mat &weights)PLearn::FeatureSetNNet [protected]
finalize()PLearn::PLearner [virtual]
finalizedPLearn::PLearner
fixed_output_weightsPLearn::FeatureSetNNet
forget()PLearn::FeatureSetNNet [virtual]
forget_when_training_set_changesPLearn::PLearner [protected]
fprop(const Vec &inputv, Vec &outputv, const Vec &targetv, Vec &costsv, real sampleweight=1) const PLearn::FeatureSetNNet [protected]
fpropCostsFromOutput(const Vec &inputv, const Vec &outputv, const Vec &targetv, Vec &costsv, real sampleweight=1) const PLearn::FeatureSetNNet [protected]
fpropOutput(const Vec &inputv, Vec &outputv) const PLearn::FeatureSetNNet [protected]
getExperimentDirectory() const PLearn::PLearner [inline]
getOption(const string &optionname) const PLearn::Object
getOptionList() const PLearn::FeatureSetNNet [virtual]
getOptionMap() const PLearn::FeatureSetNNet [virtual]
getOptionsToRemoteTransmit() const PLearn::Object [virtual]
getOptionsToSave() const PLearn::Object [virtual]
getOutputNames() const PLearn::PLearner [virtual]
getRemoteMethodMap() const PLearn::FeatureSetNNet [virtual]
getTestCostIndex(const string &costname) const PLearn::PLearner
getTestCostNames() const PLearn::FeatureSetNNet [virtual]
getTrainCostIndex(const string &costname) const PLearn::PLearner
getTrainCostNames() const PLearn::FeatureSetNNet [virtual]
getTrainingSet() const PLearn::PLearner [inline]
getTrainStatsCollector()PLearn::PLearner [inline]
getValidationSet() const PLearn::PLearner [inline]
gradPLearn::FeatureSetNNet [mutable, private]
gradientPLearn::FeatureSetNNet [mutable, private]
gradient_act_hidden2vPLearn::FeatureSetNNet [protected]
gradient_act_hiddenvPLearn::FeatureSetNNet [protected]
gradient_act_outputvPLearn::FeatureSetNNet [protected]
gradient_affine_transform(Vec input, Mat weights, Vec bias, Vec ginput, Mat gweights, Vec gbias, Vec goutput, bool input_is_sparse, bool output_is_sparse, real learning_rate, real weight_decay, real bias_decay, Vec output_indices=Vec(0))PLearn::FeatureSetNNet [protected]
gradient_b1PLearn::FeatureSetNNet
gradient_b2PLearn::FeatureSetNNet
gradient_boutPLearn::FeatureSetNNet
gradient_bout_dist_repPLearn::FeatureSetNNet
gradient_direct_boutPLearn::FeatureSetNNet
gradient_direct_woutPLearn::FeatureSetNNet
gradient_feat_inputPLearn::FeatureSetNNet [protected]
gradient_hidden2vPLearn::FeatureSetNNet [protected]
gradient_hiddenvPLearn::FeatureSetNNet [protected]
gradient_last_layerPLearn::FeatureSetNNet [mutable, private]
gradient_nnet_inputPLearn::FeatureSetNNet [protected]
gradient_outputvPLearn::FeatureSetNNet [protected]
gradient_penalty(Vec input, Mat weights, Vec bias, Mat gweights, Vec gbias, bool input_is_sparse, bool output_is_sparse, real learning_rate, real weight_decay, real bias_decay, Vec output_indices=Vec(0))PLearn::FeatureSetNNet [protected]
gradient_transfer_func(Vec &output, Vec &gradient_input, Vec &gradient_output, string transfer_func="default", int nll_softmax_speed_up_target=-1)PLearn::FeatureSetNNet [protected]
gradient_w1PLearn::FeatureSetNNet
gradient_w2PLearn::FeatureSetNNet
gradient_woutPLearn::FeatureSetNNet
gradient_wout_dist_repPLearn::FeatureSetNNet
hasOption(const string &optionname) const PLearn::Object
hidden2vPLearn::FeatureSetNNet [protected]
hidden_transfer_funcPLearn::FeatureSetNNet
hiddenvPLearn::FeatureSetNNet [protected]
idPLearn::FeatureSetNNet [mutable, private]
ifeatsPLearn::FeatureSetNNet [mutable, private]
info() const PLearn::Object [virtual]
inherited typedefPLearn::FeatureSetNNet [private]
initialization_methodPLearn::FeatureSetNNet
initializeParams(bool set_seed=true)PLearn::FeatureSetNNet [protected, virtual]
initTrain()PLearn::PLearner [protected]
inputsize() const PLearn::PLearner [virtual]
inputsize_PLearn::PLearner [protected]
isStatefulLearner() const PLearn::PLearner [virtual]
last_layerPLearn::FeatureSetNNet [mutable, private]
layer1_bias_decayPLearn::FeatureSetNNet
layer1_weight_decayPLearn::FeatureSetNNet
layer2_bias_decayPLearn::FeatureSetNNet
layer2_weight_decayPLearn::FeatureSetNNet
load(const PPath &filename)PLearn::Object [virtual]
makeDeepCopyFromShallowCopy(CopiesMap &copies)PLearn::FeatureSetNNet [virtual]
marginPLearn::FeatureSetNNet
master_sends_testset_rowsPLearn::PLearner
my_argmax(const Vec &vec, int default_compare=0) const PLearn::FeatureSetNNet [private]
n_examplesPLearn::PLearner [protected]
n_feat_setsPLearn::FeatureSetNNet [protected]
newread(PStream &in, unsigned int id=UINT_MAX)PLearn::Object
newwrite(PStream &out) const PLearn::Object [virtual]
nfeatsPLearn::FeatureSetNNet [mutable, private]
nhiddenPLearn::FeatureSetNNet
nhidden2PLearn::FeatureSetNNet
niPLearn::FeatureSetNNet [mutable, private]
njPLearn::FeatureSetNNet [mutable, private]
nkPLearn::FeatureSetNNet [mutable, private]
nll(const Vec &outputv, int target) const PLearn::FeatureSetNNet [private]
nnet_inputPLearn::FeatureSetNNet [mutable, protected]
nserversPLearn::PLearner
nstagesPLearn::PLearner
nTestCosts() const PLearn::PLearner [virtual]
nTrainCosts() const PLearn::PLearner [virtual]
Object(bool call_build_=false)PLearn::Object
offsetPLearn::FeatureSetNNet [mutable, private]
oldread(istream &in)PLearn::Object [virtual]
output_compPLearn::FeatureSetNNet [mutable, private]
output_empirical_distributionPLearn::FeatureSetNNet
output_gradient_verification(Vec grad, Vec est_grad)PLearn::FeatureSetNNet [protected]
output_layer_bias_decayPLearn::FeatureSetNNet
output_layer_dist_rep_bias_decayPLearn::FeatureSetNNet
output_layer_dist_rep_weight_decayPLearn::FeatureSetNNet
output_layer_weight_decayPLearn::FeatureSetNNet
output_transfer_funcPLearn::FeatureSetNNet
outputsize() const PLearn::FeatureSetNNet [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
penalty_typePLearn::FeatureSetNNet
PLearner()PLearn::PLearner
possible_targets_varyPLearn::FeatureSetNNet
PPointable()PLearn::PPointable [inline]
PPointable(const PPointable &other)PLearn::PPointable [inline]
prepareToSendResults(PStream &out, int nres)PLearn::Object [static]
processDataSet(VMat dataset) const PLearn::FeatureSetNNet [protected, virtual]
pval1PLearn::FeatureSetNNet [mutable, private]
pval2PLearn::FeatureSetNNet [mutable, private]
pval3PLearn::FeatureSetNNet [mutable, private]
pval4PLearn::FeatureSetNNet [mutable, private]
pval5PLearn::FeatureSetNNet [mutable, private]
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]
reind_targetPLearn::FeatureSetNNet [mutable, protected]
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]
rgenPLearn::FeatureSetNNet [protected]
rowPLearn::FeatureSetNNet [mutable, private]
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]
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
start_learning_ratePLearn::FeatureSetNNet
stochastic_gradient_descent_speedupPLearn::FeatureSetNNet
strPLearn::FeatureSetNNet [mutable, private]
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const PLearn::PLearner [virtual]
target_valuesPLearn::FeatureSetNNet [mutable, private]
target_values_reference_setPLearn::FeatureSetNNet [mutable, protected]
target_values_since_last_updatePLearn::FeatureSetNNet [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::FeatureSetNNet [protected, virtual]
test_minibatch_sizePLearn::PLearner
total_feats_per_tokenPLearn::FeatureSetNNet [protected]
total_output_sizePLearn::FeatureSetNNet [protected]
total_updatesPLearn::FeatureSetNNet [protected]
train()PLearn::FeatureSetNNet [virtual]
train_setPLearn::PLearner [protected]
train_statsPLearn::PLearner [protected]
unref() const PLearn::PPointable [inline]
update()PLearn::FeatureSetNNet [protected]
update_affine_transform(Vec input, Mat weights, Vec bias, Mat gweights, Vec gbias, bool input_is_sparse, bool output_is_sparse, Vec output_indices)PLearn::FeatureSetNNet [protected]
usage() const PLearn::PPointable [inline]
use(VMat testset, VMat outputs) const PLearn::FeatureSetNNet [protected, virtual]
use_a_separate_random_generator_for_testingPLearn::PLearner
useOnTrain(Mat &outputs) const PLearn::PLearner [virtual]
valPLearn::FeatureSetNNet [mutable, private]
val2PLearn::FeatureSetNNet [mutable, private]
val_string_reference_setPLearn::FeatureSetNNet [mutable, protected]
validation_setPLearn::PLearner [protected]
verbosityPLearn::PLearner
verify_gradient(Vec &input, Vec target, real step)PLearn::FeatureSetNNet [protected]
verify_gradient_affine_transform(Vec global_input, Vec &global_output, Vec &global_targetv, Vec &global_costs, real sampleweight, Vec input, Mat weights, Vec bias, Mat est_gweights, Vec est_gbias, bool input_is_sparse, bool output_is_sparse, real step, Vec output_indices=Vec(0)) const PLearn::FeatureSetNNet [protected]
w1PLearn::FeatureSetNNet
w2PLearn::FeatureSetNNet
weight_decayPLearn::FeatureSetNNet
weightsize() const PLearn::PLearner [virtual]
weightsize_PLearn::PLearner [protected]
woutPLearn::FeatureSetNNet
wout_dist_repPLearn::FeatureSetNNet
write(ostream &out) const PLearn::Object [virtual]
writeOptionVal(PStream &out, const string &optionname) const PLearn::Object
~FeatureSetNNet()PLearn::FeatureSetNNet [virtual]
~Object()PLearn::Object [virtual]
~PPointable()PLearn::PPointable [inline, virtual]
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