, including all inherited members.
_classname_() | PLearn::EntropyContrast | [static] |
_getOptionList_() | PLearn::EntropyContrast | [static] |
_getRemoteMethodMap_() | PLearn::EntropyContrast | [static] |
_isa_(const Object *o) | PLearn::EntropyContrast | [static] |
_new_instance_for_typemap_() | PLearn::EntropyContrast | [static] |
_static_initialize_() | PLearn::EntropyContrast | [static] |
_static_initializer_ | PLearn::EntropyContrast | [static] |
alpha | PLearn::EntropyContrast | [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] |
bias_hidden | PLearn::EntropyContrast | [private] |
bias_output | PLearn::EntropyContrast | [private] |
build() | PLearn::EntropyContrast | [virtual] |
build_() | PLearn::EntropyContrast | [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::EntropyContrast | [virtual] |
compute_df_dx(Mat &df_dx, const Vec &input) | PLearn::EntropyContrast | [private] |
compute_diversity_cost(const Vec &f_x, const Vec &cost, Vec &grad_C_extra_cost_wrt_f_x) | PLearn::EntropyContrast | [private] |
compute_extra_grad_wrt_df_dx(Mat &grad_C_wrt_df_dx) | PLearn::EntropyContrast | [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::EntropyContrast | [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 | |
computeNNcontinuous_constraints(Vec &hidden_units, Vec &output_units) | PLearn::EntropyContrast | [private] |
computeNNcontinuous_hidden(const Vec &input_units, Vec &hidden_units) | PLearn::EntropyContrast | [private] |
computeOutput(const Vec &input, Vec &output) const | PLearn::EntropyContrast | [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] |
cost_extra | PLearn::EntropyContrast | |
cost_gen | PLearn::EntropyContrast | |
cost_real | PLearn::EntropyContrast | |
decay_factor | PLearn::EntropyContrast | |
declareMethods(RemoteMethodMap &rmm) | PLearn::PLearner | [protected, static] |
declareOptions(OptionList &ol) | PLearn::EntropyContrast | [protected, static] |
declaringFile() | PLearn::EntropyContrast | [inline, static] |
deepCopy(CopiesMap &copies) const | PLearn::EntropyContrast | [virtual] |
deepCopyNoMap() | PLearn::Object | |
df_dx | PLearn::EntropyContrast | [private] |
EntropyContrast() | PLearn::EntropyContrast | |
evaluate_every_n_epochs | PLearn::EntropyContrast | [private] |
evaluate_first_epoch | PLearn::EntropyContrast | [private] |
evaluation_method | PLearn::EntropyContrast | |
expdir | PLearn::PLearner | |
f_x | PLearn::EntropyContrast | [private] |
f_x_hat | PLearn::EntropyContrast | [private] |
finalize() | PLearn::PLearner | [virtual] |
finalized | PLearn::PLearner | |
forget() | PLearn::EntropyContrast | [virtual] |
forget_when_training_set_changes | PLearn::PLearner | [protected] |
full | PLearn::EntropyContrast | [private] |
full_sum | PLearn::EntropyContrast | [private] |
g_x | PLearn::EntropyContrast | [private] |
gen_method | PLearn::EntropyContrast | |
gen_normal_0_1(Vec &output) | PLearn::EntropyContrast | [private] |
get_grad_log_variance_wrt_f(Vec &grad, const Vec &f_x, const Vec &mu, const Vec &sigma) | PLearn::EntropyContrast | [private] |
get_NNcontinuous_output(const Vec &x, Vec &f_x, Vec &z_x) | PLearn::EntropyContrast | [private] |
getExperimentDirectory() const | PLearn::PLearner | [inline] |
getInfo() | PLearn::EntropyContrast | [inline, private] |
getOption(const string &optionname) const | PLearn::Object | |
getOptionList() const | PLearn::EntropyContrast | [virtual] |
getOptionMap() const | PLearn::EntropyContrast | [virtual] |
getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
getOptionsToSave() const | PLearn::Object | [virtual] |
getOutputNames() const | PLearn::PLearner | [virtual] |
getRemoteMethodMap() const | PLearn::EntropyContrast | [virtual] |
getTestCostIndex(const string &costname) const | PLearn::PLearner | |
getTestCostNames() const | PLearn::EntropyContrast | [virtual] |
getTrainCostIndex(const string &costname) const | PLearn::PLearner | |
getTrainCostNames() const | PLearn::EntropyContrast | [virtual] |
getTrainingSet() const | PLearn::PLearner | [inline] |
getTrainStatsCollector() | PLearn::PLearner | [inline] |
getValidationSet() const | PLearn::PLearner | [inline] |
grad_C_extra_cost_wrt_f_x | PLearn::EntropyContrast | [private] |
grad_C_generated_wrt_f_x_hat | PLearn::EntropyContrast | [private] |
grad_C_real_wrt_f_x | PLearn::EntropyContrast | [private] |
grad_C_wrt_df_dx | PLearn::EntropyContrast | [private] |
grad_extra_wrt_bias_hidden | PLearn::EntropyContrast | [private] |
grad_extra_wrt_bias_output | PLearn::EntropyContrast | [private] |
grad_extra_wrt_v | PLearn::EntropyContrast | [private] |
grad_extra_wrt_w | PLearn::EntropyContrast | [private] |
grad_H_f_x_hat_wrt_bias_hidden | PLearn::EntropyContrast | [private] |
grad_H_f_x_hat_wrt_bias_output | PLearn::EntropyContrast | [private] |
grad_H_f_x_hat_wrt_v | PLearn::EntropyContrast | [private] |
grad_H_f_x_hat_wrt_w | PLearn::EntropyContrast | [private] |
grad_H_f_x_wrt_bias_hidden | PLearn::EntropyContrast | [private] |
grad_H_f_x_wrt_bias_output | PLearn::EntropyContrast | [private] |
grad_H_f_x_wrt_v | PLearn::EntropyContrast | [private] |
grad_H_f_x_wrt_w | PLearn::EntropyContrast | [private] |
grad_H_g_wrt_w | PLearn::EntropyContrast | [private] |
hasOption(const string &optionname) const | PLearn::Object | |
info() const | PLearn::Object | [virtual] |
inherited typedef | PLearn::EntropyContrast | [private] |
initialize_NNcontinuous() | PLearn::EntropyContrast | [private] |
initTrain() | PLearn::PLearner | [protected] |
inputsize | PLearn::EntropyContrast | |
PLearn::PLearner::inputsize() const | PLearn::PLearner | [virtual] |
inputsize_ | PLearn::PLearner | [protected] |
isStatefulLearner() const | PLearn::PLearner | [virtual] |
learning_rate | PLearn::EntropyContrast | |
load(const PPath &filename) | PLearn::Object | [virtual] |
makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::EntropyContrast | [virtual] |
master_sends_testset_rows | PLearn::PLearner | |
mu_f | PLearn::EntropyContrast | [private] |
mu_f_hat | PLearn::EntropyContrast | [private] |
mu_f_square | PLearn::EntropyContrast | [private] |
mu_g | PLearn::EntropyContrast | [private] |
n | PLearn::EntropyContrast | [private] |
n_examples | PLearn::PLearner | [protected] |
n_seen_examples | PLearn::EntropyContrast | |
nconstraints | PLearn::EntropyContrast | |
newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
newwrite(PStream &out) const | PLearn::Object | [virtual] |
nhidden | PLearn::EntropyContrast | [private] |
nservers | PLearn::PLearner | |
nstages | PLearn::PLearner | |
nTestCosts() const | PLearn::PLearner | [virtual] |
nTrainCosts() const | PLearn::PLearner | [virtual] |
Object(bool call_build_=false) | PLearn::Object | |
oldread(istream &in) | PLearn::Object | [virtual] |
outputsize() const | PLearn::EntropyContrast | [virtual] |
parallelize_here | PLearn::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 | |
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 | |
reconstruct(const Vec &output, Vec &input) const | PLearn::EntropyContrast | |
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 | |
set_NNcontinuous_gradient(Vec &grad_C_real_wrt_f_x, Mat &grad_H_f_x_wrt_w, Mat &grad_H_f_x_wrt_v, Vec &z_x, Vec &x, Vec &grad_H_f_x_wrt_bias_output, Vec &grad_H_f_x_wrt_bias_hidden) | PLearn::EntropyContrast | [private] |
set_NNcontinuous_gradient_from_extra_cost(Mat &grad_C_wrt_df_dx, const Vec &input) | PLearn::EntropyContrast | [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] |
sigma_f | PLearn::EntropyContrast | [private] |
sigma_f_hat | PLearn::EntropyContrast | [private] |
sigma_f_square | PLearn::EntropyContrast | [private] |
sigma_g | PLearn::EntropyContrast | [private] |
stage | PLearn::PLearner | |
starting_learning_rate | PLearn::EntropyContrast | |
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner | [virtual] |
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 | |
test_set | PLearn::EntropyContrast | [private] |
train() | PLearn::EntropyContrast | [virtual] |
train_set | PLearn::PLearner | [protected] |
train_stats | PLearn::PLearner | [protected] |
unref() const | PLearn::PPointable | [inline] |
update_alpha(int stage, int current_input_index) | PLearn::EntropyContrast | [private] |
update_mu_sigma_f(const Vec &f_x, Vec &mu, Vec &sigma) | PLearn::EntropyContrast | [private] |
update_NNcontinuous() | PLearn::EntropyContrast | [private] |
update_NNcontinuous_from_extra_cost() | PLearn::EntropyContrast | [private] |
usage() const | PLearn::PPointable | [inline] |
use(VMat testset, VMat outputs) const | PLearn::PLearner | [virtual] |
use_a_separate_random_generator_for_testing | PLearn::PLearner | |
useOnTrain(Mat &outputs) const | PLearn::PLearner | [virtual] |
v | PLearn::EntropyContrast | [private] |
validation_set | PLearn::EntropyContrast | [private] |
verbosity | PLearn::PLearner | |
w | PLearn::EntropyContrast | [private] |
weight_decay_hidden | PLearn::EntropyContrast | |
weight_decay_output | PLearn::EntropyContrast | |
weight_extra | PLearn::EntropyContrast | |
weight_gen | PLearn::EntropyContrast | |
weight_real | PLearn::EntropyContrast | |
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 | |
x | PLearn::EntropyContrast | [private] |
x_hat | PLearn::EntropyContrast | [private] |
z_x | PLearn::EntropyContrast | [private] |
z_x_hat | PLearn::EntropyContrast | [private] |
~Object() | PLearn::Object | [virtual] |
~PPointable() | PLearn::PPointable | [inline, virtual] |