PLearn::ConditionalDensityNet Member List

This is the complete list of members for PLearn::ConditionalDensityNet, 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]
a	PLearn::ConditionalDensityNet	[protected]
already_sorted	PLearn::PDistribution	[protected]
b	PLearn::ConditionalDensityNet	[protected]
batch_size	PLearn::ConditionalDensityNet
bias_decay	PLearn::ConditionalDensityNet
build()	PLearn::ConditionalDensityNet	[virtual]
build_()	PLearn::ConditionalDensityNet	[private]
build_from_train_set()	PLearn::PLearner	[inline, protected, virtual]
c	PLearn::ConditionalDensityNet	[protected]
c_penalization	PLearn::ConditionalDensityNet
call(const string &methodname, int nargs, PStream &in_parameters, PStream &out_results)	PLearn::Object	[virtual]
cdf(const Vec &x) const	PLearn::ConditionalDensityNet	[virtual]
cdf_f	PLearn::ConditionalDensityNet	[mutable]
centers	PLearn::ConditionalDensityNet	[protected]
centers_initialization	PLearn::ConditionalDensityNet
centers_M	PLearn::ConditionalDensityNet	[protected]
changeOption(const string &optionname, const string &value)	PLearn::Object
changeOptions(const map< string, string > &name_value)	PLearn::Object	[virtual]
classname() const	PLearn::Object	[virtual]
computeCostsFromOutputs(const Vec &input, const Vec &output, const Vec &target, Vec &costs) const	PLearn::PDistribution	[virtual]
computeCostsOnly(const Vec &input, const Vec &target, Vec &costs) const	PLearn::PLearner	[virtual]
computeOutput(const Vec &input, Vec &output) const	PLearn::PDistribution	[virtual]
computeOutputAndCosts(const Vec &input, const Vec &target, Vec &output, Vec &costs) const	PLearn::PLearner	[virtual]
cond_sort	PLearn::PDistribution	[protected]
cond_swap	PLearn::PDistribution	[protected]
conditional_flags	PLearn::PDistribution
ConditionalDensityNet()	PLearn::ConditionalDensityNet
costs	PLearn::ConditionalDensityNet	[protected]
cum_denominator	PLearn::ConditionalDensityNet	[protected]
cum_numerator	PLearn::ConditionalDensityNet	[protected]
cumulative	PLearn::ConditionalDensityNet	[protected]
curve_positions	PLearn::ConditionalDensityNet
declareOptions(OptionList &ol)	PLearn::ConditionalDensityNet	[protected, static]
deepCopy(CopiesMap &copies) const	PLearn::Object	[virtual]
delta_curve	PLearn::PDistribution	[protected]
delta_steps	PLearn::ConditionalDensityNet	[protected]
density	PLearn::ConditionalDensityNet	[protected]
PLearn::PDistribution::density(const Vec &y) const	PLearn::PDistribution	[virtual]
density_f	PLearn::ConditionalDensityNet	[mutable]
direct_in_to_out	PLearn::ConditionalDensityNet
direct_in_to_out_weight_decay	PLearn::ConditionalDensityNet
ensureFullJointDistribution(TVec< int > &old_flags)	PLearn::PDistribution	[protected]
expdir	PLearn::PLearner
expectation(Vec &mu) const	PLearn::ConditionalDensityNet	[virtual]
expected_value	PLearn::ConditionalDensityNet	[protected]
f	PLearn::ConditionalDensityNet	[mutable]
finishConditionalBuild()	PLearn::PDistribution	[protected]
forget()	PLearn::ConditionalDensityNet	[virtual]
full_joint_distribution	PLearn::PDistribution	[protected]
generate(Vec &x) const	PLearn::ConditionalDensityNet	[virtual]
generate_precision	PLearn::ConditionalDensityNet
generateN(const Mat &Y) const	PLearn::PDistribution
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::PDistribution	[virtual]
getTrainCostIndex(const string &costname) const	PLearn::PLearner
getTrainCostNames() const	PLearn::ConditionalDensityNet	[virtual]
getTrainingSet() const	PLearn::PLearner	[inline]
getTrainStatsCollector()	PLearn::PLearner	[inline]
getValidationSet() const	PLearn::PLearner	[inline]
in2distr_f	PLearn::ConditionalDensityNet	[mutable]
info() const	PLearn::Object	[virtual]
inherited typedef	PLearn::ConditionalDensityNet	[private]
initial_hardness	PLearn::ConditionalDensityNet
initial_hardnesses	PLearn::ConditionalDensityNet	[protected]
initialize_mu(Vec &mu_)	PLearn::ConditionalDensityNet
initializeParams()	PLearn::ConditionalDensityNet
input	PLearn::ConditionalDensityNet	[protected]
input_part	PLearn::PDistribution	[mutable, protected]
inputsize() const	PLearn::PLearner	[virtual]
inputsize_	PLearn::PLearner	[protected]
invars	PLearn::ConditionalDensityNet	[protected]
isStatefulLearner() const	PLearn::PLearner	[virtual]
L1_penalty	PLearn::ConditionalDensityNet
layer1_bias_decay	PLearn::ConditionalDensityNet
layer1_weight_decay	PLearn::ConditionalDensityNet
layer2_bias_decay	PLearn::ConditionalDensityNet
layer2_weight_decay	PLearn::ConditionalDensityNet
load(const string &filename)	PLearn::Object	[virtual]
log_density(const Vec &x) const	PLearn::ConditionalDensityNet	[virtual]
log_likelihood_vs_squared_error_balance	PLearn::ConditionalDensityNet
lower_bound	PLearn::PDistribution
makeDeepCopyFromShallowCopy(map< const void *, void * > &copies)	PLearn::ConditionalDensityNet	[virtual]
PLearn::PLearner::makeDeepCopyFromShallowCopy(CopiesMap &copies)	PLearn::PLearner	[protected, virtual]
mass_cost	PLearn::ConditionalDensityNet
matlabSave(const string &matlab_subdir)	PLearn::PLearner	[inline, virtual]
maxY	PLearn::ConditionalDensityNet
mean_f	PLearn::ConditionalDensityNet	[mutable]
minus_prev_centers_0	PLearn::ConditionalDensityNet	[protected]
minus_scaled_prev_centers_0	PLearn::ConditionalDensityNet	[protected]
mu	PLearn::ConditionalDensityNet
mu_is_fixed	PLearn::ConditionalDensityNet
n_curve_points	PLearn::PDistribution
n_examples	PLearn::PLearner	[protected]
n_input	PLearn::PDistribution	[protected]
n_margin	PLearn::PDistribution	[protected]
n_output_density_terms	PLearn::ConditionalDensityNet
n_target	PLearn::PDistribution	[protected]
need_set_input	PLearn::PDistribution	[mutable, protected]
newread(PStream &in)	PLearn::Object
newwrite(PStream &out) const	PLearn::Object
nhidden	PLearn::ConditionalDensityNet
nhidden2	PLearn::ConditionalDensityNet
nstages	PLearn::PLearner
nTestCosts() const	PLearn::PLearner	[virtual]
nTrainCosts() const	PLearn::PLearner	[virtual]
Object()	PLearn::Object
oldread(istream &in)	PLearn::Object	[virtual]
optimizer	PLearn::ConditionalDensityNet
output	PLearn::ConditionalDensityNet	[protected]
output_and_target	PLearn::ConditionalDensityNet
output_and_target_to_cost	PLearn::ConditionalDensityNet	[mutable]
output_and_target_values	PLearn::ConditionalDensityNet
output_layer_bias_decay	PLearn::ConditionalDensityNet
output_layer_weight_decay	PLearn::ConditionalDensityNet
outputs	PLearn::ConditionalDensityNet	[protected]
outputs_def	PLearn::PDistribution
outputsize() const	PLearn::PDistribution	[virtual]
params	PLearn::ConditionalDensityNet	[protected]
paramsvalues	PLearn::ConditionalDensityNet
PDistribution()	PLearn::PDistribution
penalties	PLearn::ConditionalDensityNet	[protected]
PLEARN_DECLARE_ABSTRACT_OBJECT(PLearner)	PLearn::PLearner
PLEARN_DECLARE_OBJECT(ConditionalDensityNet)	PLearn::ConditionalDensityNet
PLearn::PDistribution::PLEARN_DECLARE_OBJECT(PDistribution)	PLearn::PDistribution
PLearner()	PLearn::PLearner
pos_a	PLearn::ConditionalDensityNet	[protected]
pos_b	PLearn::ConditionalDensityNet	[protected]
pos_c	PLearn::ConditionalDensityNet	[protected]
pos_y_cost	PLearn::ConditionalDensityNet
PPointable()	PLearn::PPointable	[inline]
PPointable(const PPointable &other)	PLearn::PPointable	[inline]
prepareToSendResults(PStream &out, int nres)	PLearn::Object	[inline, protected]
prev_centers	PLearn::ConditionalDensityNet	[protected]
prev_centers_M	PLearn::ConditionalDensityNet	[protected]
print(ostream &out) const	PLearn::Object	[virtual]
provide_input	PLearn::PDistribution
read(istream &in)	PLearn::Object	[virtual]
readOptionVal(PStream &in, const string &optionname)	PLearn::Object
ref() const	PLearn::PPointable	[inline]
report_progress	PLearn::PLearner
resetGenerator(long g_seed) const	PLearn::ConditionalDensityNet	[virtual]
resetInternalState()	PLearn::PLearner	[virtual]
resizeParts()	PLearn::PDistribution	[protected]
run()	PLearn::Object	[virtual]
sampleweight	PLearn::ConditionalDensityNet	[protected]
save(const string &filename) const	PLearn::Object	[virtual]
scale	PLearn::ConditionalDensityNet
scaled_prev_centers	PLearn::ConditionalDensityNet	[protected]
scaled_prev_centers_M	PLearn::ConditionalDensityNet	[protected]
seed_	PLearn::PLearner
separate_mass_point	PLearn::ConditionalDensityNet
setConditionalFlags(TVec< int > &flags)	PLearn::PDistribution
setExperimentDirectory(const string &the_expdir)	PLearn::PLearner	[virtual]
setInput(const Vec &input) const	PLearn::ConditionalDensityNet	[virtual]
setOption(const string &optionname, const string &value)	PLearn::Object
setTrainingSet(VMat training_set, bool call_forget=true)	PLearn::PDistribution	[virtual]
setTrainStatsCollector(PP< VecStatsCollector > statscol)	PLearn::PLearner	[virtual]
setValidationSet(VMat validset)	PLearn::PLearner	[virtual]
sortFromFlags(Vec &v)	PLearn::PDistribution	[protected]
sortFromFlags(Mat &m, bool sort_columns=true, bool sort_rows=false)	PLearn::PDistribution	[protected]
splitCond(const Vec &input) const	PLearn::PDistribution	[protected]
stage	PLearn::PLearner
steps	PLearn::ConditionalDensityNet	[protected]
steps_0	PLearn::ConditionalDensityNet	[protected]
steps_gradient	PLearn::ConditionalDensityNet	[protected]
steps_integral	PLearn::ConditionalDensityNet	[protected]
steps_M	PLearn::ConditionalDensityNet	[protected]
steps_type	PLearn::ConditionalDensityNet
survival_fn(const Vec &x) const	PLearn::ConditionalDensityNet	[virtual]
target	PLearn::ConditionalDensityNet	[protected]
target_part	PLearn::PDistribution	[mutable, 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::ConditionalDensityNet	[mutable]
test_costs	PLearn::ConditionalDensityNet	[protected]
thresholdY	PLearn::ConditionalDensityNet
totalcost	PLearn::ConditionalDensityNet
train()	PLearn::ConditionalDensityNet	[virtual]
train_set	PLearn::PLearner	[protected]
train_stats	PLearn::PLearner	[protected]
training_cost	PLearn::ConditionalDensityNet	[protected]
unconditional_cdf	PLearn::ConditionalDensityNet	[protected]
unconditional_delta_cdf	PLearn::ConditionalDensityNet	[protected]
unconditional_p0	PLearn::ConditionalDensityNet
unref() const	PLearn::PPointable	[inline]
updateFromConditionalSorting()	PLearn::PDistribution	[protected, virtual]
upper_bound	PLearn::PDistribution
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]
variance(Mat &cov) const	PLearn::ConditionalDensityNet	[virtual]
verbosity	PLearn::PLearner
w1	PLearn::ConditionalDensityNet	[protected]
w2	PLearn::ConditionalDensityNet	[protected]
wdirect	PLearn::ConditionalDensityNet	[protected]
weight_decay	PLearn::ConditionalDensityNet
weightsize_	PLearn::PLearner	[protected]
wout	PLearn::ConditionalDensityNet	[protected]
write(ostream &out) const	PLearn::Object	[virtual]
writeOptionVal(PStream &out, const string &optionname) const	PLearn::Object
y_values	PLearn::ConditionalDensityNet
~Object()	PLearn::Object	[virtual]
~PLearner()	PLearn::PLearner	[virtual]
~PPointable()	PLearn::PPointable	[inline, virtual]

---