PLearn::LinearRegressor Member List

This is the complete list of members for PLearn::LinearRegressor, 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]
build()	PLearn::LinearRegressor	[virtual]
build_()	PLearn::LinearRegressor	[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]
cholesky	PLearn::LinearRegressor
classname() const	PLearn::Object	[virtual]
computeCostsFromOutputs(const Vec &input, const Vec &output, const Vec &target, Vec &costs) const	PLearn::LinearRegressor	[virtual]
computeCostsOnly(const Vec &input, const Vec &target, Vec &costs) const	PLearn::PLearner	[virtual]
computeOutput(const Vec &input, Vec &output) const	PLearn::LinearRegressor	[virtual]
computeOutputAndCosts(const Vec &input, const Vec &target, Vec &output, Vec &costs) const	PLearn::PLearner	[virtual]
declareOptions(OptionList &ol)	PLearn::LinearRegressor	[protected, static]
deepCopy(CopiesMap &copies) const	PLearn::Object	[virtual]
expdir	PLearn::PLearner
extendedinput	PLearn::LinearRegressor	[mutable, private]
forget()	PLearn::LinearRegressor	[virtual]
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::LinearRegressor	[virtual]
getTrainCostIndex(const string &costname) const	PLearn::PLearner
getTrainCostNames() const	PLearn::LinearRegressor	[virtual]
getTrainingSet() const	PLearn::PLearner	[inline]
getTrainStatsCollector()	PLearn::PLearner	[inline]
getValidationSet() const	PLearn::PLearner	[inline]
info() const	PLearn::Object	[virtual]
inherited typedef	PLearn::LinearRegressor	[private]
input	PLearn::LinearRegressor	[mutable, private]
inputsize() const	PLearn::PLearner	[virtual]
inputsize_	PLearn::PLearner	[protected]
isStatefulLearner() const	PLearn::PLearner	[virtual]
LinearRegressor()	PLearn::LinearRegressor
load(const string &filename)	PLearn::Object	[virtual]
makeDeepCopyFromShallowCopy(map< const void *, void * > &copies)	PLearn::LinearRegressor	[virtual]
PLearn::PLearner::makeDeepCopyFromShallowCopy(CopiesMap &copies)	PLearn::PLearner	[protected, virtual]
matlabSave(const string &matlab_subdir)	PLearn::PLearner	[inline, virtual]
n_examples	PLearn::PLearner	[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]
outputsize() const	PLearn::LinearRegressor	[virtual]
PLEARN_DECLARE_ABSTRACT_OBJECT(PLearner)	PLearn::PLearner
PLEARN_DECLARE_OBJECT(LinearRegressor)	PLearn::LinearRegressor
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
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
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]
stage	PLearn::PLearner
sum_gammas	PLearn::LinearRegressor	[protected]
sum_squared_y	PLearn::LinearRegressor	[protected]
target	PLearn::LinearRegressor	[private]
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::LinearRegressor	[virtual]
train_costs	PLearn::LinearRegressor	[private]
train_set	PLearn::PLearner	[protected]
train_stats	PLearn::PLearner	[protected]
unref() const	PLearn::PPointable	[inline]
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]
verbosity	PLearn::PLearner
weight_decay	PLearn::LinearRegressor
weights	PLearn::LinearRegressor	[protected]
weights_norm	PLearn::LinearRegressor	[protected]
weightsize_	PLearn::PLearner	[protected]
write(ostream &out) const	PLearn::Object	[virtual]
writeOptionVal(PStream &out, const string &optionname) const	PLearn::Object
XtX	PLearn::LinearRegressor	[protected]
XtY	PLearn::LinearRegressor	[protected]
~Object()	PLearn::Object	[virtual]
~PLearner()	PLearn::PLearner	[virtual]
~PPointable()	PLearn::PPointable	[inline, virtual]

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