CMP++: Uncertainty Quantification & Bayesian Calibration
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cmp::ModelCluster Member List

This is the complete list of members for cmp::ModelCluster, including all inherited members.

centroid(size_t i) constcmp::ModelClusterinline
centroids_cmp::ModelClusterprivate
clusterSize_cmp::ModelClusterprivate
computeProbabilities(const double &T, cmp::classifier::Classifier *classifier, const double &minProb=0.1) constcmp::ModelClusterinline
computeScore(size_t globalIndex) constcmp::ModelClusterinline
computeScore(size_t clusterIndex, size_t globalIndex) constcmp::ModelClusterinline
condition(const Eigen::Ref< const Eigen::MatrixXd > &xObs, const Eigen::Ref< const Eigen::VectorXd > &yObs, const Eigen::Ref< const Eigen::VectorXs > &labels)cmp::ModelClusterinline
confusionMatrix(std::vector< std::vector< double > > switchingProbability) constcmp::ModelClusterinline
deterministicSwitchStep(cmp::classifier::Classifier *cls, const size_t &maxAllowedSwitches, const double &minProb)cmp::ModelClusterinline
dim() constcmp::ModelClusterinline
dimX_cmp::ModelClusterprivate
fit(Eigen::Ref< const Eigen::VectorXd > lowerBound, Eigen::Ref< const Eigen::VectorXd > upperBound, cmp::gp::method fitType, nlopt::algorithm algorithm=nlopt::LN_SBPLX, double tol=1e-3, std::shared_ptr< cmp::prior::Prior > prior=nullptr, std::vector< bool > logScale={})cmp::ModelClusterinline
fit_cmp::ModelClusterprivate
gamma_cmp::ModelClusterprivate
getClusterSize(size_t i) constcmp::ModelClusterinline
getIndices(size_t clusterIndex) constcmp::ModelClusterinline
getLabels() constcmp::ModelClusterinline
getMembership(size_t i) constcmp::ModelClusterinline
gps_cmp::ModelClusterprivate
kernel_cmp::ModelClusterprivate
labels_cmp::ModelClusterprivate
localIndexTable_cmp::ModelClusterprivate
mean_cmp::ModelClusterprivate
merge(const size_t &clusterIndex1, const size_t &clusterIndex2)cmp::ModelClusterinline
ModelCluster()=defaultcmp::ModelCluster
nClusters() constcmp::ModelClusterinline
nClusters_cmp::ModelClusterprivate
nObs_cmp::ModelClusterprivate
nPoints() constcmp::ModelClusterinline
nugget_cmp::ModelClusterprivate
operator[](size_t i)cmp::ModelClusterinline
parameters_cmp::ModelClusterprivate
performSwitches(const std::vector< std::pair< size_t, size_t > > &newOwners, size_t minSize)cmp::ModelClusterinline
predict(const Eigen::VectorXd &xStar, cmp::classifier::Classifier *classifier) constcmp::ModelClusterinline
purge(const size_t &clusterIndex)cmp::ModelClusterinline
rng_cmp::ModelClusterprivate
set(std::shared_ptr< covariance::Covariance > kernel, std::shared_ptr< mean::Mean > mean, Eigen::VectorXd parameters, double nugget, double gamma, unsigned int seed)cmp::ModelClusterinline
switchStep(cmp::classifier::Classifier *classifier, size_t maxAllowedSwitches=10, double minProb=0.1, double T=1.0)cmp::ModelClusterinline
updateModel(const std::vector< bool > &affectedClusters)cmp::ModelClusterinline
xObs_cmp::ModelClusterprivate
yObs_cmp::ModelClusterprivate