Base typedef | STK::LinearAAModel< Array > | |
center() | STK::IAAModel< Array > | |
center(VectorX const &weights) | STK::IAAModel< Array > | |
clone() const | STK::LinearAAModel< Array > | inlinevirtual |
computeAIC() const | STK::IStatModelBase | inline |
computeBIC() const | STK::IStatModelBase | inline |
computeML() const | STK::IStatModelBase | inline |
computeModelParameters() | STK::GaussianAAModel< Array > | |
computeNbFreeParameters() | STK::GaussianAAModel< Array > | protected |
computeProjectedCovariance() | STK::GaussianAAModel< Array > | |
computeProjectedLnLikelihood() | STK::GaussianAAModel< Array > | protected |
computeResidualCovariance() | STK::GaussianAAModel< Array > | protected |
computeResidualLnLikelihood() | STK::GaussianAAModel< Array > | protected |
Data typedef | STK::IStatModel< GaussianAAModel< Array > > | |
dim() const | STK::IAAModel< Array > | inline |
dim_ | STK::IAAModel< Array > | private |
error() const | STK::IRunnerBase | inline |
freeReducer() | STK::IAAModel< Array > | |
freeRegressor() | STK::IAAModel< Array > | |
GaussianAAModel(Array *p_workData) | STK::GaussianAAModel< Array > | |
GaussianAAModel(Array &workData) | STK::GaussianAAModel< Array > | |
hasRun_ | STK::IRunnerBase | protected |
IAAModel(Array *p_workData) | STK::IAAModel< Array > | protected |
IAAModel(Array &workData) | STK::IAAModel< Array > | protected |
initialize(int nbSample, int nbVariable) | STK::IStatModelBase | inlineprotected |
IRunnerBase() | STK::IRunnerBase | inlineprotected |
IRunnerBase(IRunnerBase const &runner) | STK::IRunnerBase | inlineprotected |
IRunnerUnsupervised() | STK::IRunnerUnsupervised< Array, VectorX > | inlineprotected |
IRunnerUnsupervised(Array const *const p_data) | STK::IRunnerUnsupervised< Array, VectorX > | inlineprotected |
IRunnerUnsupervised(Array const &data) | STK::IRunnerUnsupervised< Array, VectorX > | inlineprotected |
IRunnerUnsupervised(IRunnerUnsupervised const &runner) | STK::IRunnerUnsupervised< Array, VectorX > | inlineprotected |
isCentered() const | STK::IAAModel< Array > | inline |
isCentered_ | STK::IAAModel< Array > | private |
isStandardized() const | STK::IAAModel< Array > | inline |
isStandardized_ | STK::IAAModel< Array > | private |
IStatModel(Data const &data) | STK::IStatModel< GaussianAAModel< Array > > | inlineprotected |
IStatModel(Data const *p_data) | STK::IStatModel< GaussianAAModel< Array > > | inlineprotected |
IStatModelBase() | STK::IStatModelBase | inlineprotected |
IStatModelBase(int nbSample) | STK::IStatModelBase | inlineprotected |
IStatModelBase(int nbSample, int nbVariable) | STK::IStatModelBase | inlineprotected |
IStatModelBase(IStatModelBase const &model) | STK::IStatModelBase | inlineprotected |
likelihood() const | STK::IStatModelBase | inline |
LinearAAModel(Array const &data) | STK::LinearAAModel< Array > | |
LinearAAModel(LinearAAModel const &model) | STK::LinearAAModel< Array > | |
lnLikelihood() const | STK::IStatModelBase | inline |
lnLikelihood_ | STK::IStatModelBase | private |
lnNbSample() const | STK::IStatModelBase | inline |
mean() const | STK::IAAModel< Array > | inline |
mean_ | STK::IAAModel< Array > | private |
msg_error_ | STK::IRunnerBase | protected |
nbFreeParameter() const | STK::IStatModelBase | inline |
nbFreeParameter_ | STK::IStatModelBase | private |
nbSample() const | STK::IStatModelBase | inline |
nbSample_ | STK::IStatModelBase | private |
nbVariable() const | STK::IStatModelBase | inline |
nbVariable_ | STK::IStatModelBase | private |
p_data() const | STK::IRunnerUnsupervised< Array, VectorX > | inline |
p_data_ | STK::IRunnerUnsupervised< Array, VectorX > | protected |
p_dataij() const | STK::IStatModel< GaussianAAModel< Array > > | inline |
p_dataij_ | STK::IStatModel< GaussianAAModel< Array > > | protected |
p_predicted() const | STK::IAAModel< Array > | inline |
p_predicted_ | STK::IAAModel< Array > | protected |
p_reduced() const | STK::IAAModel< Array > | inline |
p_reduced_ | STK::IAAModel< Array > | protected |
p_reducer() const | STK::IAAModel< Array > | inline |
p_reducer_ | STK::IAAModel< Array > | protected |
p_regressor() const | STK::IAAModel< Array > | inline |
p_regressor_ | STK::IAAModel< Array > | protected |
p_residuals() const | STK::IAAModel< Array > | inline |
p_residuals_ | STK::IAAModel< Array > | protected |
p_workData_ | STK::IAAModel< Array > | protected |
ParamHandler typedef | STK::IStatModel< GaussianAAModel< Array > > | |
projectedCovariance() const | STK::GaussianAAModel< Array > | inline |
projectedCovariance_ | STK::GaussianAAModel< Array > | private |
projectedLnLikelihood() const | STK::GaussianAAModel< Array > | inline |
projectedLnLikelihood_ | STK::GaussianAAModel< Array > | private |
Reducer typedef | STK::IAAModel< Array > | private |
reductionStep() | STK::IAAModel< Array > | |
reductionStep(VectorX const &weights) | STK::IAAModel< Array > | |
regressionStep() | STK::IAAModel< Array > | |
regressionStep(VectorX const &weights) | STK::IAAModel< Array > | |
Regressor typedef | STK::IAAModel< Array > | private |
residualCovariance() const | STK::GaussianAAModel< Array > | inline |
residualCovariance_ | STK::GaussianAAModel< Array > | private |
residualLnLikelihood() const | STK::GaussianAAModel< Array > | inline |
residualLnLikelihood_ | STK::GaussianAAModel< Array > | private |
residualVariance() const | STK::GaussianAAModel< Array > | inline |
residualVariance_ | STK::GaussianAAModel< Array > | private |
Row typedef | STK::IStatModel< GaussianAAModel< Array > > | |
run(int const &dim) | STK::LinearAAModel< Array > | |
run(VectorX const &weights, int const &dim) | STK::LinearAAModel< Array > | |
run() | STK::LinearAAModel< Array > | virtual |
run(VectorX const &weights) | STK::LinearAAModel< Array > | virtual |
Runner typedef | STK::LinearAAModel< Array > | |
IRunnerUnsupervised< Array, VectorX >::setData(Array const *p_data) | STK::IRunnerUnsupervised< Array, VectorX > | inlinevirtual |
IRunnerUnsupervised< Array, VectorX >::setData(Array const &data) | STK::IRunnerUnsupervised< Array, VectorX > | inlinevirtual |
STK::GaussianAAModel::setData(Data const &data) | STK::IStatModel< GaussianAAModel< Array > > | inline |
STK::GaussianAAModel::setData(Data const *p_data) | STK::IStatModel< GaussianAAModel< Array > > | inline |
setDimension(int const &dim) | STK::IAAModel< Array > | |
setLnLikelihood(Real const &lnLikelihood) | STK::IStatModelBase | inlineprotected |
setNbFreeParameter(int const &nbFreeParameter) | STK::IStatModelBase | inlineprotected |
setNbSample(int const &nbSample) | STK::IStatModelBase | inlineprotected |
setNbVariable(int const &nbVariable) | STK::IStatModelBase | inlineprotected |
setReducer(Reducer *p_reducer) | STK::IAAModel< Array > | |
setRegressor(Regressor *p_regressor) | STK::IAAModel< Array > | |
setWorkData(Array &workData) | STK::GaussianAAModel< Array > | virtual |
simul(const Law::IUnivLaw< Real > &law, VectorX const &mu, Real const &std, Array &proj, Array &data) | STK::LinearAAModel< Array > | static |
standardize() | STK::IAAModel< Array > | |
standardize(VectorX const &weights) | STK::IAAModel< Array > | |
std() const | STK::IAAModel< Array > | inline |
std_ | STK::IAAModel< Array > | private |
Type typedef | STK::IStatModel< GaussianAAModel< Array > > | |
uncenterResults() | STK::IAAModel< Array > | |
unstandardizeResults() | STK::IAAModel< Array > | |
update() | STK::IRunnerBase | inlineprotectedvirtual |
workData() const | STK::IAAModel< Array > | inline |
workData_ | STK::LinearAAModel< Array > | protected |
~GaussianAAModel() | STK::GaussianAAModel< Array > | inlinevirtual |
~IAAModel() | STK::IAAModel< Array > | |
~IRunnerBase() | STK::IRunnerBase | inlineprotectedvirtual |
~IRunnerUnsupervised() | STK::IRunnerUnsupervised< Array, VectorX > | inlineprotected |
~IStatModel() | STK::IStatModel< GaussianAAModel< Array > > | inline |
~IStatModelBase() | STK::IStatModelBase | inlineprotected |
~LinearAAModel() | STK::LinearAAModel< Array > | virtual |