PLearn 0.1
PLearn::EntropyContrast Member List
This is the complete list of members for PLearn::EntropyContrast, 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]
alphaPLearn::EntropyContrast [private]
asString() const PLearn::Object [virtual]
asStringRemoteTransmit() const PLearn::Object [virtual]
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]
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const PLearn::PLearner [virtual]
bias_hiddenPLearn::EntropyContrast [private]
bias_outputPLearn::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_extraPLearn::EntropyContrast
cost_genPLearn::EntropyContrast
cost_realPLearn::EntropyContrast
decay_factorPLearn::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_dxPLearn::EntropyContrast [private]
EntropyContrast()PLearn::EntropyContrast
evaluate_every_n_epochsPLearn::EntropyContrast [private]
evaluate_first_epochPLearn::EntropyContrast [private]
evaluation_methodPLearn::EntropyContrast
expdirPLearn::PLearner
f_xPLearn::EntropyContrast [private]
f_x_hatPLearn::EntropyContrast [private]
finalize()PLearn::PLearner [virtual]
finalizedPLearn::PLearner
forget()PLearn::EntropyContrast [virtual]
forget_when_training_set_changesPLearn::PLearner [protected]
fullPLearn::EntropyContrast [private]
full_sumPLearn::EntropyContrast [private]
g_xPLearn::EntropyContrast [private]
gen_methodPLearn::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_xPLearn::EntropyContrast [private]
grad_C_generated_wrt_f_x_hatPLearn::EntropyContrast [private]
grad_C_real_wrt_f_xPLearn::EntropyContrast [private]
grad_C_wrt_df_dxPLearn::EntropyContrast [private]
grad_extra_wrt_bias_hiddenPLearn::EntropyContrast [private]
grad_extra_wrt_bias_outputPLearn::EntropyContrast [private]
grad_extra_wrt_vPLearn::EntropyContrast [private]
grad_extra_wrt_wPLearn::EntropyContrast [private]
grad_H_f_x_hat_wrt_bias_hiddenPLearn::EntropyContrast [private]
grad_H_f_x_hat_wrt_bias_outputPLearn::EntropyContrast [private]
grad_H_f_x_hat_wrt_vPLearn::EntropyContrast [private]
grad_H_f_x_hat_wrt_wPLearn::EntropyContrast [private]
grad_H_f_x_wrt_bias_hiddenPLearn::EntropyContrast [private]
grad_H_f_x_wrt_bias_outputPLearn::EntropyContrast [private]
grad_H_f_x_wrt_vPLearn::EntropyContrast [private]
grad_H_f_x_wrt_wPLearn::EntropyContrast [private]
grad_H_g_wrt_wPLearn::EntropyContrast [private]
hasOption(const string &optionname) const PLearn::Object
info() const PLearn::Object [virtual]
inherited typedefPLearn::EntropyContrast [private]
initialize_NNcontinuous()PLearn::EntropyContrast [private]
initTrain()PLearn::PLearner [protected]
inputsizePLearn::EntropyContrast
PLearn::PLearner::inputsize() const PLearn::PLearner [virtual]
inputsize_PLearn::PLearner [protected]
isStatefulLearner() const PLearn::PLearner [virtual]
learning_ratePLearn::EntropyContrast
load(const PPath &filename)PLearn::Object [virtual]
makeDeepCopyFromShallowCopy(CopiesMap &copies)PLearn::EntropyContrast [virtual]
master_sends_testset_rowsPLearn::PLearner
mu_fPLearn::EntropyContrast [private]
mu_f_hatPLearn::EntropyContrast [private]
mu_f_squarePLearn::EntropyContrast [private]
mu_gPLearn::EntropyContrast [private]
nPLearn::EntropyContrast [private]
n_examplesPLearn::PLearner [protected]
n_seen_examplesPLearn::EntropyContrast
nconstraintsPLearn::EntropyContrast
newread(PStream &in, unsigned int id=UINT_MAX)PLearn::Object
newwrite(PStream &out) const PLearn::Object [virtual]
nhiddenPLearn::EntropyContrast [private]
nserversPLearn::PLearner
nstagesPLearn::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_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
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_genPLearn::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_progressPLearn::PLearner
resetInternalState()PLearn::PLearner [virtual]
run()PLearn::Object [virtual]
save(const PPath &filename) const PLearn::Object [virtual]
save_trainingset_prefixPLearn::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_fPLearn::EntropyContrast [private]
sigma_f_hatPLearn::EntropyContrast [private]
sigma_f_squarePLearn::EntropyContrast [private]
sigma_gPLearn::EntropyContrast [private]
stagePLearn::PLearner
starting_learning_ratePLearn::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_sizePLearn::PLearner
test_setPLearn::EntropyContrast [private]
train()PLearn::EntropyContrast [virtual]
train_setPLearn::PLearner [protected]
train_statsPLearn::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_testingPLearn::PLearner
useOnTrain(Mat &outputs) const PLearn::PLearner [virtual]
vPLearn::EntropyContrast [private]
validation_setPLearn::EntropyContrast [private]
verbosityPLearn::PLearner
wPLearn::EntropyContrast [private]
weight_decay_hiddenPLearn::EntropyContrast
weight_decay_outputPLearn::EntropyContrast
weight_extraPLearn::EntropyContrast
weight_genPLearn::EntropyContrast
weight_realPLearn::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
xPLearn::EntropyContrast [private]
x_hatPLearn::EntropyContrast [private]
z_xPLearn::EntropyContrast [private]
z_x_hatPLearn::EntropyContrast [private]
~Object()PLearn::Object [virtual]
~PPointable()PLearn::PPointable [inline, virtual]
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