PLearn::GaussianDistribution Member List

This is the complete list of members for PLearn::GaussianDistribution, 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]
already_sorted	PLearn::PDistribution	[protected]
build()	PLearn::PDistribution	[virtual]
build_from_train_set()	PLearn::PLearner	[inline, protected, virtual]
call(const string &methodname, int nargs, PStream &in_parameters, PStream &out_results)	PLearn::Object	[virtual]
cdf(const Vec &y) const	PLearn::PDistribution	[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]
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
declareOptions(OptionList &ol)	PLearn::GaussianDistribution	[protected, static]
deepCopy(CopiesMap &copies) const	PLearn::Object	[virtual]
delta_curve	PLearn::PDistribution	[protected]
density(const Vec &y) const	PLearn::PDistribution	[virtual]
eigenvalues	PLearn::GaussianDistribution
eigenvectors	PLearn::GaussianDistribution
ensureFullJointDistribution(TVec< int > &old_flags)	PLearn::PDistribution	[protected]
expdir	PLearn::PLearner
expectation(Vec &mu) const	PLearn::PDistribution	[virtual]
finishConditionalBuild()	PLearn::PDistribution	[protected]
forget()	PLearn::GaussianDistribution	[virtual]
full_joint_distribution	PLearn::PDistribution	[protected]
gamma	PLearn::GaussianDistribution
GaussianDistribution()	PLearn::GaussianDistribution
generate(Vec &x) const	PLearn::GaussianDistribution	[virtual]
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::PDistribution	[virtual]
getTrainingSet() const	PLearn::PLearner	[inline]
getTrainStatsCollector()	PLearn::PLearner	[inline]
getValidationSet() const	PLearn::PLearner	[inline]
ignore_weights_below	PLearn::GaussianDistribution
info() const	PLearn::Object	[virtual]
inherited typedef	PLearn::GaussianDistribution
input_part	PLearn::PDistribution	[mutable, protected]
inputsize() const	PLearn::GaussianDistribution	[virtual]
inputsize_	PLearn::PLearner	[protected]
isStatefulLearner() const	PLearn::PLearner	[virtual]
k	PLearn::GaussianDistribution
load(const string &filename)	PLearn::Object	[virtual]
log_density(const Vec &x) const	PLearn::GaussianDistribution	[virtual]
lower_bound	PLearn::PDistribution
makeDeepCopyFromShallowCopy(CopiesMap &copies)	PLearn::GaussianDistribution	[virtual]
PLearn::PDistribution::makeDeepCopyFromShallowCopy(map< const void *, void * > &copies)	PLearn::PDistribution	[virtual]
matlabSave(const string &matlab_subdir)	PLearn::PLearner	[inline, virtual]
mu	PLearn::GaussianDistribution
n_curve_points	PLearn::PDistribution
n_examples	PLearn::PLearner	[protected]
n_input	PLearn::PDistribution	[protected]
n_margin	PLearn::PDistribution	[protected]
n_target	PLearn::PDistribution	[protected]
need_set_input	PLearn::PDistribution	[mutable, protected]
newread(PStream &in)	PLearn::Object
newwrite(PStream &out) const	PLearn::Object
nstages	PLearn::PLearner
nTestCosts() const	PLearn::PLearner	[virtual]
nTrainCosts() const	PLearn::PLearner	[virtual]
Object()	PLearn::Object
oldread(istream &in)	PLearn::Object	[virtual]
outputs_def	PLearn::PDistribution
outputsize() const	PLearn::PDistribution	[virtual]
PDistribution()	PLearn::PDistribution
PLEARN_DECLARE_ABSTRACT_OBJECT(PLearner)	PLearn::PLearner
PLEARN_DECLARE_OBJECT(GaussianDistribution)	PLearn::GaussianDistribution
PLearn::PDistribution::PLEARN_DECLARE_OBJECT(PDistribution)	PLearn::PDistribution
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]
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::GaussianDistribution	[virtual]
resetInternalState()	PLearn::PLearner	[virtual]
resizeParts()	PLearn::PDistribution	[protected]
run()	PLearn::Object	[virtual]
save(const string &filename) const	PLearn::Object	[virtual]
seed_	PLearn::PLearner
setConditionalFlags(TVec< int > &flags)	PLearn::PDistribution
setExperimentDirectory(const string &the_expdir)	PLearn::PLearner	[virtual]
setInput(const Vec &input) const	PLearn::PDistribution	[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
survival_fn(const Vec &y) const	PLearn::PDistribution	[virtual]
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]
train()	PLearn::GaussianDistribution	[virtual]
train_set	PLearn::PLearner	[protected]
train_stats	PLearn::PLearner	[protected]
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::PDistribution	[virtual]
verbosity	PLearn::PLearner
weightsize_	PLearn::PLearner	[protected]
write(ostream &out) const	PLearn::Object	[virtual]
writeOptionVal(PStream &out, const string &optionname) const	PLearn::Object
~Object()	PLearn::Object	[virtual]
~PLearner()	PLearn::PLearner	[virtual]
~PPointable()	PLearn::PPointable	[inline, virtual]

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