PLearn 0.1
PLearn::GaussianContinuumDistribution Member List
This is the complete list of members for PLearn::GaussianContinuumDistribution, including all inherited members.
_classname_()PLearn::GaussianContinuumDistribution [static]
_getOptionList_()PLearn::GaussianContinuumDistribution [static]
_getRemoteMethodMap_()PLearn::GaussianContinuumDistribution [static]
_isa_(const Object *o)PLearn::GaussianContinuumDistribution [static]
_new_instance_for_typemap_()PLearn::GaussianContinuumDistribution [static]
_static_initialize_()PLearn::GaussianContinuumDistribution [static]
_static_initializer_PLearn::GaussianContinuumDistribution [static]
architecture_typePLearn::GaussianContinuumDistribution
asString() const PLearn::Object [virtual]
asStringRemoteTransmit() const PLearn::Object [virtual]
bPLearn::GaussianContinuumDistribution [protected]
b_costsPLearn::PLearner [mutable, protected]
b_inputsPLearn::PLearner [mutable, protected]
b_outputsPLearn::PLearner [mutable, protected]
b_targetsPLearn::PLearner [mutable, protected]
b_weightsPLearn::PLearner [mutable, protected]
batch_sizePLearn::GaussianContinuumDistribution
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const PLearn::PLearner [virtual]
best_validation_costPLearn::GaussianContinuumDistribution [protected]
BsPLearn::GaussianContinuumDistribution [protected]
build()PLearn::GaussianContinuumDistribution [virtual]
build_()PLearn::GaussianContinuumDistribution [private]
build_from_train_set()PLearn::PLearner [inline, protected, virtual]
cPLearn::GaussianContinuumDistribution [protected]
call(const string &methodname, int nargs, PStream &io)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::GaussianContinuumDistribution [virtual]
compute_train_and_validation_costs()PLearn::GaussianContinuumDistribution [private]
computeConfidenceFromOutput(const Vec &input, const Vec &output, real probability, TVec< pair< real, real > > &intervals) const PLearn::PLearner [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]
computeInputOutputConfMat(VMat inputs, real probability) const PLearn::PLearner
computeInputOutputMat(VMat inputs) const PLearn::PLearner
computeOutput(const Vec &input, Vec &output) const PLearn::GaussianContinuumDistribution [virtual]
computeOutputAndCosts(const Vec &input, const Vec &target, Vec &output, Vec &costs) const PLearn::PLearner [virtual]
computeOutputConfMat(VMat inputs, real probability) const PLearn::PLearner
computeOutputCovMat(const Mat &inputs, Mat &outputs, TVec< Mat > &covariance_matrices) const PLearn::PLearner [virtual]
computeOutputs(const Mat &input, Mat &output) const PLearn::PLearner [virtual]
computeOutputsAndCosts(const Mat &input, const Mat &target, Mat &output, Mat &costs) const PLearn::PLearner [virtual]
cost_of_one_examplePLearn::GaussianContinuumDistribution [protected]
declareMethods(RemoteMethodMap &rmm)PLearn::PDistribution [protected, static]
declareOptions(OptionList &ol)PLearn::GaussianContinuumDistribution [protected, static]
declaringFile()PLearn::GaussianContinuumDistribution [inline, static]
deepCopy(CopiesMap &copies) const PLearn::GaussianContinuumDistribution [virtual]
deepCopyNoMap()PLearn::Object
delta_curvePLearn::PDistribution [protected]
density(const Vec &y) const PLearn::PDistribution [virtual]
distPLearn::GaussianContinuumDistribution [protected]
distancesPLearn::GaussianContinuumDistribution [mutable, protected]
dkPLearn::GaussianContinuumDistribution [mutable, protected]
embeddingPLearn::GaussianContinuumDistribution
expdirPLearn::PLearner
expectation(Vec &mu) const PLearn::PDistribution [virtual]
finalize()PLearn::PLearner [virtual]
finalizedPLearn::PLearner
fixed_min_dPLearn::GaussianContinuumDistribution [protected]
fixed_min_diffPLearn::GaussianContinuumDistribution
fixed_min_sigPLearn::GaussianContinuumDistribution [protected]
fixed_min_sigmaPLearn::GaussianContinuumDistribution
forget()PLearn::GaussianContinuumDistribution [protected, virtual]
forget_when_training_set_changesPLearn::PLearner [protected]
FsPLearn::GaussianContinuumDistribution [protected]
GaussianContinuumDistribution()PLearn::GaussianContinuumDistribution
generate(Vec &y) const PLearn::PDistribution [virtual]
generateJoint(Vec &xy)PLearn::UnconditionalDistribution [virtual]
PLearn::PDistribution::generateJoint(Vec &x, Vec &y)PLearn::PDistribution
generateN(const Mat &Y) const PLearn::PDistribution [virtual]
generatePredicted(Vec &y)PLearn::UnconditionalDistribution [virtual]
generatePredictor(Vec &x)PLearn::UnconditionalDistribution [virtual]
generatePredictorGivenPredicted(Vec &x, const Vec &y)PLearn::UnconditionalDistribution [virtual]
getEigenvectors(int j) const PLearn::GaussianContinuumDistribution
getExperimentDirectory() const PLearn::PLearner [inline]
getNPredicted() const PLearn::PDistribution [inline]
getNPredictor() const PLearn::PDistribution [inline]
getOption(const string &optionname) const PLearn::Object
getOptionList() const PLearn::GaussianContinuumDistribution [virtual]
getOptionMap() const PLearn::GaussianContinuumDistribution [virtual]
getOptionsToRemoteTransmit() const PLearn::Object [virtual]
getOptionsToSave() const PLearn::Object [virtual]
getOutputNames() const PLearn::PLearner [virtual]
getRemoteMethodMap() const PLearn::GaussianContinuumDistribution [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]
getTrainPoint(int j) const PLearn::GaussianContinuumDistribution
getTrainStatsCollector()PLearn::PLearner [inline]
getValidationSet() const PLearn::PLearner [inline]
hasOption(const string &optionname) const PLearn::Object
include_current_pointPLearn::GaussianContinuumDistribution
info() const PLearn::Object [virtual]
inherited typedefPLearn::GaussianContinuumDistribution [private]
initializeParams()PLearn::GaussianContinuumDistribution [protected, virtual]
initTrain()PLearn::PLearner [protected]
inputsize() const PLearn::PLearner [virtual]
inputsize_PLearn::PLearner [protected]
isStatefulLearner() const PLearn::PLearner [virtual]
ith_step_generated_setPLearn::GaussianContinuumDistribution [protected]
knn(const VMat &vm, const Vec &x, const int &k, TVec< int > &neighbors, bool sortk) const PLearn::GaussianContinuumDistribution [private]
load(const PPath &filename)PLearn::Object [virtual]
log_density(const Vec &x) const PLearn::GaussianContinuumDistribution [virtual]
log_density(int i)PLearn::GaussianContinuumDistribution
log_gaussPLearn::GaussianContinuumDistribution [mutable]
lower_boundPLearn::PDistribution
make_random_walk()PLearn::GaussianContinuumDistribution [private]
makeDeepCopyFromShallowCopy(CopiesMap &copies)PLearn::GaussianContinuumDistribution [virtual]
master_sends_testset_rowsPLearn::PLearner
min_dPLearn::GaussianContinuumDistribution [protected]
min_diffPLearn::GaussianContinuumDistribution
min_p_xPLearn::GaussianContinuumDistribution
min_sigPLearn::GaussianContinuumDistribution [protected]
min_sigmaPLearn::GaussianContinuumDistribution
missingExpectation(const Vec &input, Vec &mu)PLearn::PDistribution [virtual]
muPLearn::GaussianContinuumDistribution [protected]
mu_n_neighborsPLearn::GaussianContinuumDistribution
mu_noisyPLearn::GaussianContinuumDistribution [protected]
musPLearn::GaussianContinuumDistribution [protected]
muVPLearn::GaussianContinuumDistribution [protected]
nPLearn::GaussianContinuumDistribution [protected]
n_curve_pointsPLearn::PDistribution
n_dimPLearn::GaussianContinuumDistribution
n_examplesPLearn::PLearner [protected]
n_hidden_unitsPLearn::GaussianContinuumDistribution
n_neighborsPLearn::GaussianContinuumDistribution
n_neighbors_densityPLearn::GaussianContinuumDistribution
n_predictedPLearn::PDistribution [mutable, protected]
n_predictorPLearn::PDistribution [mutable, protected]
n_random_walk_per_pointPLearn::GaussianContinuumDistribution
n_random_walk_stepPLearn::GaussianContinuumDistribution
neigbor_indexesPLearn::GaussianContinuumDistribution [protected]
neighbor_rowPLearn::GaussianContinuumDistribution [mutable, protected]
newread(PStream &in, unsigned int id=UINT_MAX)PLearn::Object
newwrite(PStream &out) const PLearn::Object [virtual]
noisePLearn::GaussianContinuumDistribution
noise_typePLearn::GaussianContinuumDistribution
noise_varPLearn::GaussianContinuumDistribution [protected]
noisy_dataPLearn::GaussianContinuumDistribution
norm_penalizationPLearn::GaussianContinuumDistribution
nserversPLearn::PLearner
nstagesPLearn::PLearner
nTestCosts() const PLearn::PLearner [virtual]
nTrainCosts() const PLearn::PLearner [virtual]
Object(bool call_build_=false)PLearn::Object
oldread(istream &in)PLearn::Object [virtual]
optimizerPLearn::GaussianContinuumDistribution
output_embeddingPLearn::GaussianContinuumDistribution
output_fPLearn::GaussianContinuumDistribution
output_f_allPLearn::GaussianContinuumDistribution
output_typePLearn::GaussianContinuumDistribution
outputs_defPLearn::PDistribution
outputsize() const PLearn::GaussianContinuumDistribution [virtual]
p_neighborsPLearn::GaussianContinuumDistribution [protected]
p_neighbors_and_pointPLearn::GaussianContinuumDistribution [protected]
p_targetPLearn::GaussianContinuumDistribution [protected]
p_xPLearn::GaussianContinuumDistribution [protected]
parallelize_herePLearn::PLearner
parametersPLearn::GaussianContinuumDistribution [protected]
parseOptionName(const string &optionname, Object *&final_object, OptionList::iterator &option_iter, string &option_index)PLearn::Object
parseOptionName(const string &optionname, const Object *&final_object, OptionList::iterator &option_iter, string &option_index) const PLearn::Object
PDistribution()PLearn::PDistribution
PLearner()PLearn::PLearner
PPointable()PLearn::PPointable [inline]
PPointable(const PPointable &other)PLearn::PPointable [inline]
predicted_partPLearn::PDistribution [mutable, protected]
predicted_sizePLearn::PDistribution [protected]
predictorPLearn::GaussianContinuumDistribution
predictor_partPLearn::PDistribution [mutable, protected]
predictor_sizePLearn::PDistribution [protected]
prepareToSendResults(PStream &out, int nres)PLearn::Object [static]
processDataSet(VMat dataset) const PLearn::PLearner [virtual]
projection_error_fPLearn::GaussianContinuumDistribution
random_genPLearn::PLearner [mutable, protected]
random_walk_step_propPLearn::GaussianContinuumDistribution
read(istream &in)PLearn::Object [virtual]
readOptionVal(PStream &in, const string &optionname, unsigned int id=UINT_MAX)PLearn::Object
ref() const PLearn::PPointable [inline]
reference_setPLearn::GaussianContinuumDistribution
remote_generate()PLearn::PDistribution
remote_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const PLearn::PLearner [virtual]
remote_useOnTrain() const PLearn::PLearner [virtual]
report_progressPLearn::PLearner
resetGenerator(long g_seed)PLearn::PDistribution [virtual]
resetInternalState()PLearn::PLearner [virtual]
run()PLearn::Object [virtual]
S_svdPLearn::GaussianContinuumDistribution [protected]
save(const PPath &filename) const PLearn::Object [virtual]
save_image_matPLearn::GaussianContinuumDistribution
save_trainingset_prefixPLearn::PLearner
seed_PLearn::PLearner
setExperimentDirectory(const PPath &the_expdir)PLearn::PLearner [virtual]
setOption(const string &optionname, const string &value)PLearn::Object
setPredictor(const Vec &predictor, bool call_parent=true) const PLearn::UnconditionalDistribution [virtual]
setPredictorPredictedSizes(int the_predictor_size, int the_predicted_size, bool call_parent=true)PLearn::PDistribution [virtual]
setTrainingSet(VMat training_set, bool call_forget=true)PLearn::PLearner [virtual]
setTrainStatsCollector(PP< VecStatsCollector > statscol)PLearn::PLearner [virtual]
setValidationSet(VMat validset)PLearn::PLearner [virtual]
sigma_grad_scale_factorPLearn::GaussianContinuumDistribution
smPLearn::GaussianContinuumDistribution [protected]
sm_bigger_than_snPLearn::GaussianContinuumDistribution
smbPLearn::GaussianContinuumDistribution [protected]
smsPLearn::GaussianContinuumDistribution [protected]
smVPLearn::GaussianContinuumDistribution [protected]
snPLearn::GaussianContinuumDistribution [protected]
snbPLearn::GaussianContinuumDistribution [protected]
snsPLearn::GaussianContinuumDistribution [protected]
snVPLearn::GaussianContinuumDistribution [protected]
splitCond(const Vec &input) const PLearn::PDistribution [protected]
stagePLearn::PLearner
store_covPLearn::PDistribution [mutable, protected]
store_expectPLearn::PDistribution [mutable, protected]
store_resultPLearn::PDistribution [mutable, protected]
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const PLearn::PLearner [virtual]
sum_nllPLearn::GaussianContinuumDistribution [protected]
survival_fn(const Vec &y) const PLearn::PDistribution [virtual]
svd_thresholdPLearn::GaussianContinuumDistribution
t_distPLearn::GaussianContinuumDistribution [mutable, protected]
t_nnPLearn::GaussianContinuumDistribution [mutable]
t_rowPLearn::GaussianContinuumDistribution [mutable, protected]
tangent_planePLearn::GaussianContinuumDistribution [protected]
tangent_targetsPLearn::GaussianContinuumDistribution [protected]
tangent_targets_and_pointPLearn::GaussianContinuumDistribution [protected]
target_indexPLearn::GaussianContinuumDistribution [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_minibatch_sizePLearn::PLearner
train()PLearn::GaussianContinuumDistribution [virtual]
train_and_generated_setPLearn::GaussianContinuumDistribution [protected]
train_nearest_neighborsPLearn::GaussianContinuumDistribution [protected]
train_setPLearn::PLearner [protected]
train_statsPLearn::PLearner [protected]
UnconditionalDistribution()PLearn::UnconditionalDistribution
unknownOutput(char def, const Vec &input, Vec &output, int &k) const PLearn::PDistribution [protected, virtual]
unref() const PLearn::PPointable [inline]
update_parameters_every_n_epochsPLearn::GaussianContinuumDistribution
update_reference_set_parameters()PLearn::GaussianContinuumDistribution [private]
upper_boundPLearn::PDistribution
usage() const PLearn::PPointable [inline]
use(VMat testset, VMat outputs) const PLearn::PLearner [virtual]
use_a_separate_random_generator_for_testingPLearn::PLearner
use_noisePLearn::GaussianContinuumDistribution
use_noise_directionPLearn::GaussianContinuumDistribution
useOnTrain(Mat &outputs) const PLearn::PLearner [virtual]
Ut_svdPLearn::GaussianContinuumDistribution [protected]
VPLearn::GaussianContinuumDistribution [protected]
V_svdPLearn::GaussianContinuumDistribution [protected]
validation_setPLearn::PLearner [protected]
variance(Mat &cov) const PLearn::PDistribution [virtual]
variances_transfer_functionPLearn::GaussianContinuumDistribution
verbosityPLearn::PLearner
WPLearn::GaussianContinuumDistribution [protected]
wPLearn::GaussianContinuumDistribution [mutable, protected]
w_matPLearn::GaussianContinuumDistribution [mutable]
walk_on_noisePLearn::GaussianContinuumDistribution
weight_mu_and_tangentPLearn::GaussianContinuumDistribution
weightsize() const PLearn::PLearner [virtual]
weightsize_PLearn::PLearner [protected]
write(ostream &out) const PLearn::Object [virtual]
writeOptionVal(PStream &out, const string &optionname) const PLearn::Object
xPLearn::GaussianContinuumDistribution [protected]
x_minus_neighborPLearn::GaussianContinuumDistribution [mutable, protected]
zPLearn::GaussianContinuumDistribution [mutable, protected]
zmPLearn::GaussianContinuumDistribution [mutable, protected]
znPLearn::GaussianContinuumDistribution [mutable, protected]
~Object()PLearn::Object [virtual]
~PPointable()PLearn::PPointable [inline, virtual]
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