PLearn::EntropyContrast Member List

This is the complete list of members for PLearn::EntropyContrast, including all inherited members.

_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]
alpha	PLearn::EntropyContrast	[private]
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 &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]
classname() const	PLearn::Object	[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]
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]
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]
cost_extra	PLearn::EntropyContrast
cost_gen	PLearn::EntropyContrast
cost_real	PLearn::EntropyContrast
decay_factor	PLearn::EntropyContrast
declareOptions(OptionList &ol)	PLearn::EntropyContrast	[protected, static]
deepCopy(CopiesMap &copies) const	PLearn::Object	[virtual]
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]
forget()	PLearn::EntropyContrast	[virtual]
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_gen_grad_variance_wrt_f(const Vec &f_x, Vec &grad)	PLearn::EntropyContrast	[private]
get_NNcontinuous_output(const Vec &x, Vec &f_x, Vec &z_x)	PLearn::EntropyContrast	[private]
get_real_grad_variance_wrt_f(const Vec &f_x, Vec &grad)	PLearn::EntropyContrast	[private]
getExperimentDirectory() const	PLearn::PLearner	[inline]
getInfo()	PLearn::EntropyContrast	[inline, private]
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::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]
info() const	PLearn::Object	[virtual]
inherited typedef	PLearn::EntropyContrast	[private]
initialize_NNcontinuous()	PLearn::EntropyContrast	[private]
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 string &filename)	PLearn::Object	[virtual]
makeDeepCopyFromShallowCopy(map< const void *, void * > &copies)	PLearn::EntropyContrast	[virtual]
PLearn::PLearner::makeDeepCopyFromShallowCopy(CopiesMap &copies)	PLearn::PLearner	[protected, virtual]
matlabSave(const string &matlab_subdir)	PLearn::PLearner	[inline, virtual]
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)	PLearn::Object
newwrite(PStream &out) const	PLearn::Object
nhidden	PLearn::EntropyContrast	[private]
nstages	PLearn::PLearner
nTestCosts() const	PLearn::PLearner	[virtual]
nTrainCosts() const	PLearn::PLearner	[virtual]
Object()	PLearn::Object
oldread(istream &in)	PLearn::Object	[virtual]
outputsize() const	PLearn::EntropyContrast	[virtual]
PLEARN_DECLARE_ABSTRACT_OBJECT(PLearner)	PLearn::PLearner
PLEARN_DECLARE_OBJECT(EntropyContrast)	PLearn::EntropyContrast
PLearner()	PLearn::PLearner
PPointable()	PLearn::PPointable	[inline]
PPointable(const PPointable &other)	PLearn::PPointable	[inline]
prepareToSendResults(PStream &out, int nres)	PLearn::Object	[inline, protected]
print(ostream &out) const	PLearn::Object	[virtual]
read(istream &in)	PLearn::Object	[virtual]
readOptionVal(PStream &in, const string &optionname)	PLearn::Object
reconstruct(const Vec &output, Vec &input) const	PLearn::EntropyContrast
ref() const	PLearn::PPointable	[inline]
report_progress	PLearn::PLearner
resetInternalState()	PLearn::PLearner	[virtual]
run()	PLearn::Object	[virtual]
save(const string &filename) const	PLearn::Object	[virtual]
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 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]
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
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_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]
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_	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]
~PLearner()	PLearn::PLearner	[virtual]
~PPointable()	PLearn::PPointable	[inline, virtual]

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