_classname_() | PLearn::Object | [static] |
_getOptionList_() | PLearn::Object | [static] |
_isa_(Object *o) | PLearn::Object | [static] |
_new_instance_for_typemap_() | PLearn::Object | [static] |
_static_initialize_() | PLearn::Object | [static] |
_static_initializer_ | PLearn::Object | [static] |
batch_size | PLearn::NNet | |
bias_decay | PLearn::NNet | |
build() | PLearn::NNet | [virtual] |
build_() | PLearn::NNet | [private] |
build_from_train_set() | PLearn::PLearner | [inline, protected, virtual] |
call(const string &methodname, int nargs, PStream &in_parameters, PStream &out_results) | PLearn::Object | [virtual] |
changeOption(const string &optionname, const string &value) | PLearn::Object | |
changeOptions(const map< string, string > &name_value) | PLearn::Object | [virtual] |
classification_regularizer | PLearn::NNet | |
classname() const | PLearn::Object | [virtual] |
computeCostsFromOutputs(const Vec &input, const Vec &output, const Vec &target, Vec &costs) const | PLearn::NNet | [virtual] |
computeCostsOnly(const Vec &input, const Vec &target, Vec &costs) const | PLearn::PLearner | [virtual] |
computeOutput(const Vec &input, Vec &output) const | PLearn::NNet | [virtual] |
computeOutputAndCosts(const Vec &input, const Vec &target, Vec &output, Vec &costs) const | PLearn::NNet | [virtual] |
cost_funcs | PLearn::NNet | |
costs | PLearn::NNet | [protected] |
declareOptions(OptionList &ol) | PLearn::NNet | [protected, static] |
deepCopy(CopiesMap &copies) const | PLearn::Object | [virtual] |
direct_in_to_out | PLearn::NNet | |
direct_in_to_out_weight_decay | PLearn::NNet | |
expdir | PLearn::PLearner | |
f | PLearn::NNet | [mutable] |
first_class_is_junk | PLearn::NNet | |
fixed_output_weights | PLearn::NNet | |
forget() | PLearn::NNet | [virtual] |
getExperimentDirectory() const | PLearn::PLearner | [inline] |
getOption(const string &optionname) const | PLearn::Object | |
getOptionList() const | PLearn::Object | [virtual] |
getOptionsToSave() const | PLearn::Object | [virtual] |
getTestCostIndex(const string &costname) const | PLearn::PLearner | |
getTestCostNames() const | PLearn::NNet | [virtual] |
getTrainCostIndex(const string &costname) const | PLearn::PLearner | |
getTrainCostNames() const | PLearn::NNet | [virtual] |
getTrainingSet() const | PLearn::PLearner | [inline] |
getTrainStatsCollector() | PLearn::PLearner | [inline] |
getValidationSet() const | PLearn::PLearner | [inline] |
hidden_transfer_func | PLearn::NNet | |
info() const | PLearn::Object | [virtual] |
inherited typedef | PLearn::NNet | |
initialization_method | PLearn::NNet | |
initializeParams() | PLearn::NNet | [protected] |
input | PLearn::NNet | [protected] |
input_reconstruction_penalty | PLearn::NNet | |
inputsize() const | PLearn::PLearner | [virtual] |
inputsize_ | PLearn::PLearner | [protected] |
interval_maxval | PLearn::NNet | |
interval_minval | PLearn::NNet | |
invars | PLearn::NNet | [protected] |
isStatefulLearner() const | PLearn::PLearner | [virtual] |
junk_prob | PLearn::NNet | [protected] |
L1_penalty | PLearn::NNet | |
layer1_bias_decay | PLearn::NNet | |
layer1_weight_decay | PLearn::NNet | |
layer2_bias_decay | PLearn::NNet | |
layer2_weight_decay | PLearn::NNet | |
load(const string &filename) | PLearn::Object | [virtual] |
makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::NNet | [virtual] |
margin | PLearn::NNet | |
matlabSave(const string &matlab_subdir) | PLearn::PLearner | [inline, virtual] |
n_examples | PLearn::PLearner | [protected] |
newread(PStream &in) | PLearn::Object | |
newwrite(PStream &out) const | PLearn::Object | |
nhidden | PLearn::NNet | |
nhidden2 | PLearn::NNet | |
NNet() | PLearn::NNet | |
noutputs | PLearn::NNet | |
nstages | PLearn::PLearner | |
nTestCosts() const | PLearn::PLearner | [virtual] |
nTrainCosts() const | PLearn::PLearner | [virtual] |
Object() | PLearn::Object | |
oldread(istream &in) | PLearn::Object | [virtual] |
optimizer | PLearn::NNet | |
outbias | PLearn::NNet | [protected] |
output | PLearn::NNet | [protected] |
output_and_target_to_cost | PLearn::NNet | [mutable] |
output_layer_bias_decay | PLearn::NNet | |
output_layer_weight_decay | PLearn::NNet | |
output_transfer_func | PLearn::NNet | |
outputsize() const | PLearn::NNet | [virtual] |
params | PLearn::NNet | [protected] |
paramsvalues | PLearn::NNet | [protected] |
penalties | PLearn::NNet | [protected] |
PLEARN_DECLARE_ABSTRACT_OBJECT(PLearner) | PLearn::PLearner | |
PLEARN_DECLARE_OBJECT(NNet) | PLearn::NNet | |
PLearner() | PLearn::PLearner | |
PPointable() | PLearn::PPointable | [inline] |
PPointable(const PPointable &other) | PLearn::PPointable | [inline] |
predicted_input | PLearn::NNet | [protected] |
prepareToSendResults(PStream &out, int nres) | PLearn::Object | [inline, protected] |
print(ostream &out) const | PLearn::Object | [virtual] |
rbf_centers | PLearn::NNet | [protected] |
rbf_layer_size | PLearn::NNet | |
rbf_sigmas | PLearn::NNet | [protected] |
read(istream &in) | PLearn::Object | [virtual] |
readOptionVal(PStream &in, const string &optionname) | PLearn::Object | |
ref() const | PLearn::PPointable | [inline] |
report_progress | PLearn::PLearner | |
resetInternalState() | PLearn::PLearner | [virtual] |
run() | PLearn::Object | [virtual] |
sampleweight | PLearn::NNet | [protected] |
save(const string &filename) const | PLearn::Object | [virtual] |
seed_ | PLearn::PLearner | |
setExperimentDirectory(const string &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 | |
target | PLearn::NNet | [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_costf | PLearn::NNet | [mutable] |
test_costs | PLearn::NNet | [protected] |
train() | PLearn::NNet | [virtual] |
train_set | PLearn::PLearner | [protected] |
train_stats | PLearn::PLearner | [protected] |
training_cost | PLearn::NNet | [protected] |
unref() const | PLearn::PPointable | [inline] |
usage() const | PLearn::PPointable | [inline] |
use(VMat testset, VMat outputs) const | PLearn::PLearner | [virtual] |
useOnTrain(Mat &outputs) const | PLearn::PLearner | [virtual] |
validation_set | PLearn::PLearner | [protected] |
verbosity | PLearn::PLearner | |
w1 | PLearn::NNet | [protected] |
w2 | PLearn::NNet | [protected] |
wdirect | PLearn::NNet | [protected] |
weight_decay | PLearn::NNet | |
weightsize_ | PLearn::PLearner | [protected] |
wout | PLearn::NNet | [protected] |
wrec | PLearn::NNet | [protected] |
write(ostream &out) const | PLearn::Object | [virtual] |
writeOptionVal(PStream &out, const string &optionname) const | PLearn::Object | |
~NNet() | PLearn::NNet | [virtual] |
~Object() | PLearn::Object | [virtual] |
~PLearner() | PLearn::PLearner | [virtual] |
~PPointable() | PLearn::PPointable | [inline, virtual] |