PLearn::GaussMix Member List

This is the complete list of members for PLearn::GaussMix, 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::GaussMix
alpha_min	PLearn::GaussMix
already_sorted	PLearn::PDistribution	[protected]
build()	PLearn::GaussMix	[virtual]
build_()	PLearn::GaussMix	[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]
cdf(const Vec &y) const	PLearn::GaussMix	[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]
computeLogLikelihood(const Vec &y, int j, bool is_input=false) const	PLearn::GaussMix	[protected, virtual]
computeMeansAndCovariances()	PLearn::GaussMix	[protected, 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]
computePosteriors()	PLearn::GaussMix	[protected, virtual]
computeWeights()	PLearn::GaussMix	[protected, virtual]
cond_sort	PLearn::PDistribution	[protected]
cond_swap	PLearn::PDistribution	[protected]
conditional_flags	PLearn::PDistribution
cov_x	PLearn::GaussMix	[protected]
cov_y_x	PLearn::GaussMix	[protected]
D	PLearn::GaussMix	[protected]
declareOptions(OptionList &ol)	PLearn::GaussMix	[protected, static]
deepCopy(CopiesMap &copies) const	PLearn::Object	[virtual]
delta_curve	PLearn::PDistribution	[protected]
density(const Vec &y) const	PLearn::PDistribution	[virtual]
diags	PLearn::GaussMix	[protected]
eigenvalues	PLearn::GaussMix	[protected]
eigenvalues_x	PLearn::GaussMix	[protected]
eigenvalues_y_x	PLearn::GaussMix	[protected]
eigenvectors	PLearn::GaussMix	[protected]
eigenvectors_x	PLearn::GaussMix	[protected]
eigenvectors_y_x	PLearn::GaussMix	[protected]
ensureFullJointDistribution(TVec< int > &old_flags)	PLearn::PDistribution	[protected]
epsilon	PLearn::GaussMix
expdir	PLearn::PLearner
expectation(Vec &mu) const	PLearn::GaussMix	[virtual]
finishConditionalBuild()	PLearn::PDistribution	[protected]
forget()	PLearn::GaussMix	[virtual]
full_cov	PLearn::GaussMix	[protected]
full_joint_distribution	PLearn::PDistribution	[protected]
GaussMix()	PLearn::GaussMix
generate(Vec &s) const	PLearn::GaussMix	[virtual]
generateFromGaussian(Vec &s, int given_gaussian) const	PLearn::GaussMix	[protected, virtual]
generateN(const Mat &Y) const	PLearn::PDistribution
getEigenvals(int j) const	PLearn::GaussMix
getEigenvectors(int j) const	PLearn::GaussMix
getExperimentDirectory() const	PLearn::PLearner	[inline]
getNEigenComputed() const	PLearn::GaussMix
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]
info() const	PLearn::Object	[virtual]
inherited typedef	PLearn::GaussMix	[private]
initial_weights	PLearn::GaussMix	[protected]
input_part	PLearn::PDistribution	[mutable, protected]
inputsize() const	PLearn::PLearner	[virtual]
inputsize_	PLearn::PLearner	[protected]
isStatefulLearner() const	PLearn::PLearner	[virtual]
kmeans(VMat samples, int nclust, TVec< int > &clust_idx, Mat &clust, int maxit=9999)	PLearn::GaussMix	[protected]
kmeans_iterations	PLearn::GaussMix
L	PLearn::GaussMix
load(const string &filename)	PLearn::Object	[virtual]
log_coeff	PLearn::GaussMix	[protected]
log_density(const Vec &y) const	PLearn::GaussMix	[virtual]
log_likelihood_dens	PLearn::GaussMix	[mutable, private]
log_likelihood_post	PLearn::GaussMix	[private]
log_p_j_x	PLearn::GaussMix	[protected]
log_p_x_j_alphaj	PLearn::GaussMix	[protected]
lower_bound	PLearn::PDistribution
makeDeepCopyFromShallowCopy(map< const void *, void * > &copies)	PLearn::GaussMix	[virtual]
PLearn::PLearner::makeDeepCopyFromShallowCopy(CopiesMap &copies)	PLearn::PLearner	[protected, virtual]
matlabSave(const string &matlab_subdir)	PLearn::PLearner	[inline, virtual]
mu	PLearn::GaussMix
mu_target	PLearn::GaussMix	[mutable, private]
mu_y_x	PLearn::GaussMix	[protected]
n_curve_points	PLearn::PDistribution
n_eigen	PLearn::GaussMix
n_eigen_computed	PLearn::GaussMix	[protected]
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
nsamples	PLearn::GaussMix	[protected]
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]
p_j_x	PLearn::GaussMix	[protected]
PDistribution()	PLearn::PDistribution
PLEARN_DECLARE_ABSTRACT_OBJECT(PLearner)	PLearn::PLearner
PLEARN_DECLARE_OBJECT(GaussMix)	PLearn::GaussMix
PLearn::PDistribution::PLEARN_DECLARE_OBJECT(PDistribution)	PLearn::PDistribution
PLearner()	PLearn::PLearner
posteriors	PLearn::GaussMix	[protected]
PPointable()	PLearn::PPointable	[inline]
PPointable(const PPointable &other)	PLearn::PPointable	[inline]
precomputeStuff()	PLearn::GaussMix	[protected, virtual]
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]
replaceGaussian(int j)	PLearn::GaussMix	[protected, virtual]
report_progress	PLearn::PLearner
resetGenerator(long g_seed) const	PLearn::GaussMix	[virtual]
resetInternalState()	PLearn::PLearner	[virtual]
resizeParts()	PLearn::PDistribution	[protected]
resizeStuffBeforeTraining()	PLearn::GaussMix	[protected]
run()	PLearn::Object	[virtual]
sample_row	PLearn::GaussMix	[private]
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::GaussMix	[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]
sigma	PLearn::GaussMix
sigma_min	PLearn::GaussMix
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::GaussMix	[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::GaussMix	[virtual]
train_set	PLearn::PLearner	[protected]
train_stats	PLearn::PLearner	[protected]
type	PLearn::GaussMix
unref() const	PLearn::PPointable	[inline]
updated_weights	PLearn::GaussMix	[protected]
updateFromConditionalSorting()	PLearn::GaussMix	[virtual]
updateSampleWeights()	PLearn::GaussMix	[protected]
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::GaussMix	[virtual]
verbosity	PLearn::PLearner
weightsize_	PLearn::PLearner	[protected]
write(ostream &out) const	PLearn::Object	[virtual]
writeOptionVal(PStream &out, const string &optionname) const	PLearn::Object
x_minus_mu_x	PLearn::GaussMix	[mutable, private]
y_x_mat	PLearn::GaussMix	[protected]
~Object()	PLearn::Object	[virtual]
~PLearner()	PLearn::PLearner	[virtual]
~PPointable()	PLearn::PPointable	[inline, virtual]

---