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PLearn::HistogramDistribution Member List

This is the complete list of members for PLearn::HistogramDistribution, 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_sortedPLearn::PDistribution [protected]
bin_densityPLearn::HistogramDistribution
bin_positionsPLearn::HistogramDistribution
binnerPLearn::HistogramDistribution
build()PLearn::HistogramDistribution [virtual]
build_()PLearn::HistogramDistribution [private]
build_from_train_set()PLearn::PLearner [inline, protected, virtual]
calc_density_from_survival()PLearn::HistogramDistribution
calc_density_from_survival(const Vec &survival, Vec &density_, const Vec &positions)PLearn::HistogramDistribution [static]
calc_survival_from_density()PLearn::HistogramDistribution
calc_survival_from_density(const Vec &density_, Vec &survival, const Vec &positions)PLearn::HistogramDistribution [static]
call(const string &methodname, int nargs, PStream &in_parameters, PStream &out_results)PLearn::Object [virtual]
cdf(const Vec &x) constPLearn::HistogramDistribution [virtual]
changeOption(const string &optionname, const string &value)PLearn::Object
changeOptions(const map< string, string > &name_value)PLearn::Object [virtual]
classname() constPLearn::Object [virtual]
computeCostsFromOutputs(const Vec &input, const Vec &output, const Vec &target, Vec &costs) constPLearn::PDistribution [virtual]
computeCostsOnly(const Vec &input, const Vec &target, Vec &costs) constPLearn::PLearner [virtual]
computeOutput(const Vec &input, Vec &output)PLearn::HistogramDistribution [virtual]
PLearn::PDistribution::computeOutput(const Vec &input, Vec &output) constPLearn::PDistribution [virtual]
computeOutputAndCosts(const Vec &input, const Vec &target, Vec &output, Vec &costs) constPLearn::PLearner [virtual]
cond_sortPLearn::PDistribution [protected]
cond_swapPLearn::PDistribution [protected]
conditional_flagsPLearn::PDistribution
declareOptions(OptionList &ol)PLearn::HistogramDistribution [protected, static]
deepCopy(CopiesMap &copies) constPLearn::Object [virtual]
delta_curvePLearn::PDistribution [protected]
density(const Vec &x) constPLearn::HistogramDistribution [virtual]
ensureFullJointDistribution(TVec< int > &old_flags)PLearn::PDistribution [protected]
expdirPLearn::PLearner
expectation(Vec &mu) constPLearn::HistogramDistribution [virtual]
find_bin(real x) constPLearn::HistogramDistribution
finishConditionalBuild()PLearn::PDistribution [protected]
forget()PLearn::PDistribution [virtual]
full_joint_distributionPLearn::PDistribution [protected]
generate(Vec &y) constPLearn::PDistribution [virtual]
generateN(const Mat &Y) constPLearn::PDistribution
getExperimentDirectory() constPLearn::PLearner [inline]
getOption(const string &optionname) constPLearn::Object
getOptionList() constPLearn::Object [virtual]
getOptionsToSave() constPLearn::Object [virtual]
getTestCostIndex(const string &costname) constPLearn::PLearner
getTestCostNames() constPLearn::PDistribution [virtual]
getTrainCostIndex(const string &costname) constPLearn::PLearner
getTrainCostNames() constPLearn::PDistribution [virtual]
getTrainingSet() constPLearn::PLearner [inline]
getTrainStatsCollector()PLearn::PLearner [inline]
getValidationSet() constPLearn::PLearner [inline]
HistogramDistribution()PLearn::HistogramDistribution
HistogramDistribution(VMat data, PP< Binner > binner_=0, PP< Smoother > smoother_=0)PLearn::HistogramDistribution
info() constPLearn::Object [virtual]
inherited typedefPLearn::HistogramDistribution
input_partPLearn::PDistribution [mutable, protected]
inputsize() constPLearn::PLearner [virtual]
inputsize_PLearn::PLearner [protected]
isStatefulLearner() constPLearn::PLearner [virtual]
load(const string &filename)PLearn::Object [virtual]
log_density(const Vec &x) constPLearn::HistogramDistribution [virtual]
lower_boundPLearn::PDistribution
makeDeepCopyFromShallowCopy(map< const void *, void * > &copies)PLearn::HistogramDistribution [virtual]
PLearn::PLearner::makeDeepCopyFromShallowCopy(CopiesMap &copies)PLearn::PLearner [protected, virtual]
matlabSave(const string &matlab_subdir)PLearn::PLearner [inline, virtual]
n_curve_pointsPLearn::PDistribution
n_examplesPLearn::PLearner [protected]
n_inputPLearn::PDistribution [protected]
n_marginPLearn::PDistribution [protected]
n_targetPLearn::PDistribution [protected]
need_set_inputPLearn::PDistribution [mutable, protected]
newread(PStream &in)PLearn::Object
newwrite(PStream &out) constPLearn::Object
nstagesPLearn::PLearner
nTestCosts() constPLearn::PLearner [virtual]
nTrainCosts() constPLearn::PLearner [virtual]
Object()PLearn::Object
oldread(istream &in)PLearn::Object [virtual]
outputs_defPLearn::PDistribution
outputsize() constPLearn::PDistribution [virtual]
PDistribution()PLearn::PDistribution
PLEARN_DECLARE_ABSTRACT_OBJECT(PLearner)PLearn::PLearner
PLEARN_DECLARE_OBJECT(HistogramDistribution)PLearn::HistogramDistribution
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) constPLearn::Object [virtual]
prob_in_range(const Vec &x0, const Vec &x1) constPLearn::HistogramDistribution [virtual]
provide_inputPLearn::PDistribution
read(istream &in)PLearn::Object [virtual]
readOptionVal(PStream &in, const string &optionname)PLearn::Object
ref() constPLearn::PPointable [inline]
report_progressPLearn::PLearner
resetGenerator(long g_seed) constPLearn::PDistribution [virtual]
resetInternalState()PLearn::PLearner [virtual]
resizeParts()PLearn::PDistribution [protected]
run()PLearn::Object [virtual]
save(const string &filename) constPLearn::Object [virtual]
seed_PLearn::PLearner
setConditionalFlags(TVec< int > &flags)PLearn::PDistribution
setExperimentDirectory(const string &the_expdir)PLearn::PLearner [virtual]
setInput(const Vec &input) constPLearn::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]
smooth_density_instead_of_survival_fnPLearn::HistogramDistribution
smootherPLearn::HistogramDistribution
sortFromFlags(Vec &v)PLearn::PDistribution [protected]
sortFromFlags(Mat &m, bool sort_columns=true, bool sort_rows=false)PLearn::PDistribution [protected]
splitCond(const Vec &input) constPLearn::PDistribution [protected]
stagePLearn::PLearner
survival_fn(const Vec &x) constPLearn::HistogramDistribution [virtual]
survival_valuesPLearn::HistogramDistribution
target_partPLearn::PDistribution [mutable, protected]
targetsize() constPLearn::PLearner [virtual]
targetsize_PLearn::PLearner [protected]
test(VMat testset, PP< VecStatsCollector > test_stats, VMat testoutputs=0, VMat testcosts=0) constPLearn::PLearner [virtual]
train()PLearn::HistogramDistribution [virtual]
train_setPLearn::PLearner [protected]
train_statsPLearn::PLearner [protected]
unref() constPLearn::PPointable [inline]
updateFromConditionalSorting()PLearn::PDistribution [protected, virtual]
upper_boundPLearn::PDistribution
usage() constPLearn::PPointable [inline]
use(VMat testset, VMat outputs) constPLearn::PLearner [virtual]
useOnTrain(Mat &outputs) constPLearn::PLearner [virtual]
validation_setPLearn::PLearner [protected]
variance(Mat &cov) constPLearn::HistogramDistribution [virtual]
verbosityPLearn::PLearner
weightsize_PLearn::PLearner [protected]
write(ostream &out) constPLearn::Object [virtual]
writeOptionVal(PStream &out, const string &optionname) constPLearn::Object
~Object()PLearn::Object [virtual]
~PLearner()PLearn::PLearner [virtual]
~PPointable()PLearn::PPointable [inline, virtual]


Generated on Tue Aug 17 16:27:16 2004 for PLearn by doxygen 1.3.7