, including all inherited members.
_classname_() | PLearn::TransformationLearner | [static] |
_getOptionList_() | PLearn::TransformationLearner | [static] |
_getRemoteMethodMap_() | PLearn::TransformationLearner | [static] |
_isa_(const Object *o) | PLearn::TransformationLearner | [static] |
_new_instance_for_typemap_() | PLearn::TransformationLearner | [static] |
_static_initialize_() | PLearn::TransformationLearner | [static] |
_static_initializer_ | PLearn::TransformationLearner | [static] |
applyTransformationOn(int transformIdx, const Vec &src, Vec &dst) const | PLearn::TransformationLearner | [inline, private] |
asString() const | PLearn::Object | [virtual] |
asStringRemoteTransmit() const | PLearn::Object | [virtual] |
B | PLearn::TransformationLearner | [protected] |
B_C | PLearn::TransformationLearner | [protected] |
b_costs | PLearn::PLearner | [mutable, protected] |
b_inputs | PLearn::PLearner | [mutable, protected] |
b_outputs | PLearn::PLearner | [mutable, protected] |
b_targets | PLearn::PLearner | [mutable, protected] |
b_weights | PLearn::PLearner | [mutable, protected] |
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const | PLearn::PLearner | [virtual] |
batchGeneratePredictedFrom(const Vec ¢er, Mat &samples) const | PLearn::TransformationLearner | |
batchGeneratePredictedFrom(const Vec ¢er, Mat &samples, int transformIdx) const | PLearn::TransformationLearner | |
behavior | PLearn::TransformationLearner | |
biasOffset | PLearn::TransformationLearner | |
biasPeriod | PLearn::TransformationLearner | |
biasSet | PLearn::TransformationLearner | [protected] |
build() | PLearn::TransformationLearner | [virtual] |
build_() | PLearn::TransformationLearner | [private] |
build_from_train_set() | PLearn::PLearner | [inline, protected, virtual] |
buildLearnedParameters() | PLearn::TransformationLearner | |
C | PLearn::TransformationLearner | [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::TransformationLearner | [virtual] |
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::PDistribution | [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] |
computeReconstructionWeight(const ReconstructionCandidate &gc) const | PLearn::TransformationLearner | [inline, private] |
computeReconstructionWeight(int targetIdx, int neighborIdx, int transformIdx) const | PLearn::TransformationLearner | [inline, private] |
computeReconstructionWeight(const Vec &target, int neighborIdx, int transformIdx) const | PLearn::TransformationLearner | [inline, private] |
computeReconstructionWeight(const Vec &target, const Vec &neighbor, int transformIdx) const | PLearn::TransformationLearner | [inline, private] |
computeReconstructionWeight(const Vec &target, const Vec &neighbor, int transformIdx, Vec &predictedTarget) const | PLearn::TransformationLearner | [inline, private] |
declareMethods(RemoteMethodMap &rmm) | PLearn::TransformationLearner | [protected, static] |
declareOptions(OptionList &ol) | PLearn::TransformationLearner | [protected, static] |
declaringFile() | PLearn::TransformationLearner | [inline, static] |
deepCopy(CopiesMap &copies) const | PLearn::TransformationLearner | [virtual] |
deepCopyNoMap() | PLearn::Object | |
delta_curve | PLearn::PDistribution | [protected] |
density(const Vec &y) const | PLearn::PDistribution | [virtual] |
dirichlet_sample(real alpha, Vec &sample) const | PLearn::TransformationLearner | [private] |
DIV_weights(real numWeight, real denomWeight) const | PLearn::TransformationLearner | [inline, private] |
diversityFactor | PLearn::TransformationLearner | |
emphasisOnDiversity | PLearn::TransformationLearner | |
EStep() | PLearn::TransformationLearner | [private] |
expandTargetNeighborPairInReconstructionSet(int targetIdx, int neighborIdx, int candidateStartIdx) | PLearn::TransformationLearner | [private] |
expdir | PLearn::PLearner | |
expectation(Vec &mu) const | PLearn::PDistribution | [virtual] |
fbtrc_neighbor | PLearn::TransformationLearner | [mutable, protected] |
fbtrc_predictedTarget | PLearn::TransformationLearner | [mutable, protected] |
fbtrc_target | PLearn::TransformationLearner | [mutable, protected] |
fbwn_neighbor | PLearn::TransformationLearner | [mutable, protected] |
fbwn_predictedTarget | PLearn::TransformationLearner | [mutable, protected] |
fbwn_target | PLearn::TransformationLearner | [mutable, protected] |
finalize() | PLearn::PLearner | [virtual] |
finalized | PLearn::PLearner | |
findBestTargetReconstructionCandidates(int targetIdx, priority_queue< ReconstructionCandidate > &pq) | PLearn::TransformationLearner | [private] |
findBestWeightedNeighbors(int targetIdx, int transformIdx, priority_queue< ReconstructionCandidate > &pq) | PLearn::TransformationLearner | [private] |
findNearestNeighbors(int targetIdx, priority_queue< pair< real, int > > &pq) | PLearn::TransformationLearner | [private] |
fnn_neighbor | PLearn::TransformationLearner | [mutable, protected] |
fnn_target | PLearn::TransformationLearner | [mutable, protected] |
forget() | PLearn::TransformationLearner | [virtual] |
forget_when_training_set_changes | PLearn::PLearner | [protected] |
gamma_sample(real alpha, real beta=1) const | PLearn::TransformationLearner | [private] |
generate(Vec &y) const | PLearn::TransformationLearner | [virtual] |
generateJoint(Vec &xy) | PLearn::PDistribution | [virtual] |
generateJoint(Vec &x, Vec &y) | PLearn::PDistribution | |
generateN(const Mat &Y) const | PLearn::PDistribution | [virtual] |
generatePredicted(Vec &y) | PLearn::PDistribution | [virtual] |
generatePredictedFrom(const Vec &source, Vec &sample) const | PLearn::TransformationLearner | |
generatePredictedFrom(const Vec &source, Vec &sample, int transformIdx) const | PLearn::TransformationLearner | |
generatePredictor(Vec &x) | PLearn::PDistribution | [virtual] |
generatePredictorGivenPredicted(Vec &x, const Vec &y) | PLearn::PDistribution | [virtual] |
generatorBuild(int inputSpaceDim_=2, TVec< Mat > transforms_=TVec< Mat >(), Mat biasSet_=Mat(), real noiseVariance_=-1.0, Vec transformDistribution_=Vec()) | PLearn::TransformationLearner | |
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::TransformationLearner | [virtual] |
getOptionMap() const | PLearn::TransformationLearner | [virtual] |
getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
getOptionsToSave() const | PLearn::Object | [virtual] |
getOutputNames() const | PLearn::PLearner | [virtual] |
getRemoteMethodMap() const | PLearn::TransformationLearner | [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] |
hasOption(const string &optionname) const | PLearn::Object | |
info() const | PLearn::Object | [virtual] |
inherited typedef | PLearn::TransformationLearner | [private] |
INIT_weight(real initValue) const | PLearn::TransformationLearner | [inline, private] |
initEStep() | PLearn::TransformationLearner | [private] |
initEStepA() | PLearn::TransformationLearner | [private] |
initEStepB() | PLearn::TransformationLearner | [private] |
initializationMode | PLearn::TransformationLearner | |
initNoiseVariance() | PLearn::TransformationLearner | |
initTrain() | PLearn::PLearner | [protected] |
initTransformDistribution() | PLearn::TransformationLearner | |
initTransformsParameters() | PLearn::TransformationLearner | |
inputsize() const | PLearn::TransformationLearner | [virtual] |
inputsize_ | PLearn::PLearner | [protected] |
inputSpaceDim | PLearn::TransformationLearner | [protected] |
isStatefulLearner() const | PLearn::PLearner | [virtual] |
isWellDefined(Vec &distribution) const | PLearn::TransformationLearner | [private] |
largeEStepA() | PLearn::TransformationLearner | [private] |
largeEStepAOffset | PLearn::TransformationLearner | |
largeEStepAPeriod | PLearn::TransformationLearner | |
largeEStepB() | PLearn::TransformationLearner | [private] |
largeEStepBOffset | PLearn::TransformationLearner | |
largeEStepBPeriod | PLearn::TransformationLearner | |
learnNoiseVariance | PLearn::TransformationLearner | |
learnTransformDistribution | PLearn::TransformationLearner | |
lg_neighbor | PLearn::TransformationLearner | [mutable, protected] |
lg_predictedTarget | PLearn::TransformationLearner | [mutable, protected] |
load(const PPath &filename) | PLearn::Object | [virtual] |
log_density(const Vec &y) const | PLearn::TransformationLearner | [virtual] |
lower_bound | PLearn::PDistribution | |
mainLearnerBuild() | PLearn::TransformationLearner | |
makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::TransformationLearner | [virtual] |
master_sends_testset_rows | PLearn::PLearner | |
minimumProba | PLearn::TransformationLearner | |
missingExpectation(const Vec &input, Vec &mu) | PLearn::PDistribution | [virtual] |
msb_neighbor | PLearn::TransformationLearner | [mutable, protected] |
msb_newBiasSet | PLearn::TransformationLearner | [mutable, protected] |
msb_norms | PLearn::TransformationLearner | [mutable, protected] |
msb_reconstruction | PLearn::TransformationLearner | [mutable, protected] |
msb_target | PLearn::TransformationLearner | [mutable, protected] |
msnvMAP_neighbor | PLearn::TransformationLearner | [mutable, protected] |
msnvMAP_reconstruction | PLearn::TransformationLearner | [mutable, protected] |
msnvMAP_target | PLearn::TransformationLearner | [mutable, protected] |
msnvMAP_total_k | PLearn::TransformationLearner | [mutable, protected] |
mst_neighbor | PLearn::TransformationLearner | [mutable, protected] |
mst_pivots | PLearn::TransformationLearner | [mutable, protected] |
mst_target | PLearn::TransformationLearner | [mutable, protected] |
mst_v | PLearn::TransformationLearner | [mutable, protected] |
mstd_B | PLearn::TransformationLearner | [mutable, protected] |
mstd_C | PLearn::TransformationLearner | [mutable, protected] |
mstd_D | PLearn::TransformationLearner | [mutable, protected] |
mstd_neighbor | PLearn::TransformationLearner | [mutable, protected] |
mstd_pivots | PLearn::TransformationLearner | [mutable, protected] |
mstd_target | PLearn::TransformationLearner | [mutable, protected] |
mstd_v | PLearn::TransformationLearner | [mutable, protected] |
MStep() | PLearn::TransformationLearner | [private] |
MStepBias() | PLearn::TransformationLearner | [private] |
MStepNoiseVariance() | PLearn::TransformationLearner | [private] |
MStepNoiseVarianceMAP(real alpha, real beta) | PLearn::TransformationLearner | [private] |
MStepTransformationDiv(int transformIdx) | PLearn::TransformationLearner | [private] |
MStepTransformations() | PLearn::TransformationLearner | [private] |
MStepTransformDistribution() | PLearn::TransformationLearner | [private] |
MStepTransformDistributionMAP(real alpha) | PLearn::TransformationLearner | [private] |
MULT_INVERSE_weight(real weight) const | PLearn::TransformationLearner | [inline, private] |
MULT_weights(real weight1, real weight2) const | PLearn::TransformationLearner | [inline, private] |
n_curve_points | PLearn::PDistribution | |
n_examples | PLearn::PLearner | [protected] |
n_predicted | PLearn::PDistribution | [mutable, protected] |
n_predictor | PLearn::PDistribution | [mutable, protected] |
nbNeighbors | PLearn::TransformationLearner | |
nbReconstructions | PLearn::TransformationLearner | [protected] |
nbTargetReconstructions | PLearn::TransformationLearner | [protected] |
nbTransforms | PLearn::TransformationLearner | |
newDistribution | PLearn::TransformationLearner | [mutable, protected] |
newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
newwrite(PStream &out) const | PLearn::Object | [virtual] |
nextStage() | PLearn::TransformationLearner | [private] |
noiseAlpha | PLearn::TransformationLearner | |
noiseBeta | PLearn::TransformationLearner | |
noiseVariance | PLearn::TransformationLearner | |
noiseVarianceOffset | PLearn::TransformationLearner | |
noiseVariancePeriod | PLearn::TransformationLearner | |
normalizeTargetWeights(int targetIdx, real totalWeight) | PLearn::TransformationLearner | [inline, private] |
nservers | PLearn::PLearner | |
nstages | PLearn::PLearner | |
nTestCosts() const | PLearn::PLearner | [virtual] |
nTrainCosts() const | PLearn::PLearner | [virtual] |
Object(bool call_build_=false) | PLearn::Object | |
oldread(istream &in) | PLearn::Object | [virtual] |
outputs_def | PLearn::PDistribution | |
outputsize() const | PLearn::PDistribution | [virtual] |
parallelize_here | PLearn::PLearner | |
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 | |
pickNeighborIdx() const | PLearn::TransformationLearner | |
pickTransformIdx() const | PLearn::TransformationLearner | |
PLearner() | PLearn::PLearner | |
PPointable() | PLearn::PPointable | [inline] |
PPointable(const PPointable &other) | PLearn::PPointable | [inline] |
predicted_part | PLearn::PDistribution | [mutable, protected] |
predicted_size | PLearn::PDistribution | [protected] |
predictor_part | PLearn::PDistribution | [mutable, protected] |
predictor_size | PLearn::PDistribution | [protected] |
prepareToSendResults(PStream &out, int nres) | PLearn::Object | [static] |
PROBA_weight(real weight) const | PLearn::TransformationLearner | [inline, private] |
processDataSet(VMat dataset) const | PLearn::PLearner | [virtual] |
random_gen | PLearn::PLearner | [mutable, protected] |
randomWeight() const | PLearn::TransformationLearner | [inline, private] |
read(istream &in) | PLearn::Object | [virtual] |
readOptionVal(PStream &in, const string &optionname, unsigned int id=UINT_MAX) | PLearn::Object | |
reconstructionEuclideanDistance(int candidateIdx) | PLearn::TransformationLearner | [inline, private] |
reconstructionEuclideanDistance(const Vec &target, const Vec &neighbor, int transformIdx, Vec &reconstruction) const | PLearn::TransformationLearner | [inline, private] |
reconstructionSet | PLearn::TransformationLearner | [protected] |
ref() const | PLearn::PPointable | [inline] |
regOnNoiseVariance | PLearn::TransformationLearner | |
regOnTransformDistribution | PLearn::TransformationLearner | |
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_progress | PLearn::PLearner | |
resetGenerator(long g_seed) | PLearn::PDistribution | [virtual] |
resetInternalState() | PLearn::PLearner | [virtual] |
return_dirichlet_sample(real alpha) const | PLearn::TransformationLearner | [private] |
returnAllTransforms() const | PLearn::TransformationLearner | |
returnGeneratedSamplesFrom(Vec center, int n, int transformIdx=-1) const | PLearn::TransformationLearner | |
returnNeighbors(int targetIdx) const | PLearn::TransformationLearner | |
returnPredictedFrom(Vec source, int transformIdx=-1) const | PLearn::TransformationLearner | |
returnReconstructionCandidates(int targetIdx) const | PLearn::TransformationLearner | |
returnReconstructions(int targetIdx) const | PLearn::TransformationLearner | |
returnSequenceDataSet(Vec start, int n, int transformIdx=-1) const | PLearn::TransformationLearner | |
returnTrainingPoint(int idx) const | PLearn::TransformationLearner | |
returnTransform(int transformIdx) const | PLearn::TransformationLearner | |
returnTreeDataSet(Vec root, int deepness, int branchingFactor, int transformIdx=-1) const | PLearn::TransformationLearner | |
run() | PLearn::Object | [virtual] |
save(const PPath &filename) const | PLearn::Object | [virtual] |
save_trainingset_prefix | PLearn::PLearner | |
seed_ | PLearn::PLearner | |
seeTargetReconstructionSet(int targetIdx, TVec< ReconstructionCandidate > &targetReconstructionSet) const | PLearn::TransformationLearner | [private] |
seeTrainingPoint(const int idx, Vec &dst) const | PLearn::TransformationLearner | [inline, private] |
sequenceDataSet(const Vec &start, int n, Mat &dataPoints, int transformIdx=-1) const | PLearn::TransformationLearner | |
ses_neighbor | PLearn::TransformationLearner | [mutable, protected] |
ses_predictedTarget | PLearn::TransformationLearner | [mutable, protected] |
ses_target | PLearn::TransformationLearner | [mutable, protected] |
setExperimentDirectory(const PPath &the_expdir) | PLearn::PLearner | [virtual] |
setNoiseVariance(real nv) | PLearn::TransformationLearner | |
setOption(const string &optionname, const string &value) | PLearn::Object | |
setPredictor(const Vec &predictor, bool call_parent=true) const | PLearn::PDistribution | [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] |
setTransformDistribution(Vec td) | PLearn::TransformationLearner | |
setTransformsParameters(TVec< Mat > transforms, Mat bias=Mat()) | PLearn::TransformationLearner | |
setValidationSet(VMat validset) | PLearn::PLearner | [virtual] |
smallEStep() | PLearn::TransformationLearner | [private] |
splitCond(const Vec &input) const | PLearn::PDistribution | [protected] |
stage | PLearn::PLearner | |
store_cov | PLearn::PDistribution | [mutable, protected] |
store_expect | PLearn::PDistribution | [mutable, protected] |
store_result | PLearn::PDistribution | [mutable, protected] |
stp_v | PLearn::TransformationLearner | [mutable, protected] |
stp_w | PLearn::TransformationLearner | [mutable, protected] |
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner | [virtual] |
SUM_weights(real weight1, real weight2) const | PLearn::TransformationLearner | [inline, private] |
survival_fn(const Vec &y) const | PLearn::PDistribution | [virtual] |
targetReconstructionSet | PLearn::TransformationLearner | [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_size | PLearn::PLearner | |
train() | PLearn::TransformationLearner | [virtual] |
train_set | PLearn::PLearner | [protected] |
train_stats | PLearn::PLearner | [protected] |
trainingSetLength | PLearn::TransformationLearner | [protected] |
TransformationLearner() | PLearn::TransformationLearner | |
transformDistribution | PLearn::TransformationLearner | |
transformDistributionAlpha | PLearn::TransformationLearner | |
transformDistributionOffset | PLearn::TransformationLearner | |
transformDistributionPeriod | PLearn::TransformationLearner | |
transformFamily | PLearn::TransformationLearner | |
transforms | PLearn::TransformationLearner | [protected] |
transformsOffset | PLearn::TransformationLearner | |
transformsPeriod | PLearn::TransformationLearner | |
transformsSD | PLearn::TransformationLearner | [protected] |
transformsSet | PLearn::TransformationLearner | [protected] |
transformsVariance | PLearn::TransformationLearner | |
treeDataSet(const Vec &root, int deepness, int branchingFactor, Mat &dataPoints, int transformIdx=-1) const | PLearn::TransformationLearner | |
unknownOutput(char def, const Vec &input, Vec &output, int &k) const | PLearn::PDistribution | [protected, virtual] |
unref() const | PLearn::PPointable | [inline] |
updateReconstructionWeight(int candidateIdx) | PLearn::TransformationLearner | [inline, private] |
updateReconstructionWeight(int candidateIdx, const Vec &target, const Vec &neighbor, int transformIdx, Vec &predictedTarget) | PLearn::TransformationLearner | [inline, private] |
upper_bound | PLearn::PDistribution | |
usage() const | PLearn::PPointable | [inline] |
use(VMat testset, VMat outputs) const | PLearn::PLearner | [virtual] |
use_a_separate_random_generator_for_testing | PLearn::PLearner | |
useOnTrain(Mat &outputs) const | PLearn::PLearner | [virtual] |
validation_set | PLearn::PLearner | [protected] |
variance(Mat &cov) const | PLearn::PDistribution | [virtual] |
verbosity | PLearn::PLearner | |
weightsize() const | PLearn::PLearner | [virtual] |
weightsize_ | PLearn::PLearner | [protected] |
withBias | PLearn::TransformationLearner | |
write(ostream &out) const | PLearn::Object | [virtual] |
writeOptionVal(PStream &out, const string &optionname) const | PLearn::Object | |
~Object() | PLearn::Object | [virtual] |
~PPointable() | PLearn::PPointable | [inline, virtual] |