| ComponentLogLikelihood(const VectorBase< BaseFloat > &data, int32 comp_id) const | DiagGmm | |
| ComponentPosteriors(const VectorBase< BaseFloat > &data, Vector< BaseFloat > *posteriors) const | DiagGmm | |
| ComputeGconsts() | DiagGmm | |
| CopyFromDiagGmm(const DiagGmm &diaggmm) | DiagGmm | |
| CopyFromFullGmm(const FullGmm &fullgmm) | DiagGmm | |
| CopyFromNormal(const DiagGmmNormal &diag_gmm_normal) | DiagGmm | |
| DiagGmm() | DiagGmm | inline |
| DiagGmm(const DiagGmm &gmm) | DiagGmm | inlineexplicit |
| DiagGmm(const GaussClusterable &gc, BaseFloat var_floor) | DiagGmm | |
| DiagGmm(int32 nMix, int32 dim) | DiagGmm | inline |
| DiagGmm(const std::vector< std::pair< BaseFloat, const DiagGmm *> > &gmms) | DiagGmm | explicit |
| DiagGmmNormal class | DiagGmm | friend |
| Dim() const | DiagGmm | inline |
| GaussianSelection(const VectorBase< BaseFloat > &data, int32 num_gselect, std::vector< int32 > *output) const | DiagGmm | |
| GaussianSelection(const MatrixBase< BaseFloat > &data, int32 num_gselect, std::vector< std::vector< int32 > > *output) const | DiagGmm | |
| GaussianSelectionPreselect(const VectorBase< BaseFloat > &data, const std::vector< int32 > &preselect, int32 num_gselect, std::vector< int32 > *output) const | DiagGmm | |
| gconsts() const | DiagGmm | inline |
| gconsts_ | DiagGmm | private |
| Generate(VectorBase< BaseFloat > *output) | DiagGmm | |
| GetComponentMean(int32 gauss, VectorBase< Real > *out) const | DiagGmm | |
| GetComponentVariance(int32 gauss, VectorBase< Real > *out) const | DiagGmm | |
| GetMeans(Matrix< Real > *m) const | DiagGmm | |
| GetVars(Matrix< Real > *v) const | DiagGmm | |
| Interpolate(BaseFloat rho, const DiagGmm &source, GmmFlagsType flags=kGmmAll) | DiagGmm | |
| Interpolate(BaseFloat rho, const FullGmm &source, GmmFlagsType flags=kGmmAll) | DiagGmm | |
| inv_vars() const | DiagGmm | inline |
| inv_vars_ | DiagGmm | private |
| LogLikelihood(const VectorBase< BaseFloat > &data) const | DiagGmm | |
| LogLikelihoods(const VectorBase< BaseFloat > &data, Vector< BaseFloat > *loglikes) const | DiagGmm | |
| LogLikelihoods(const MatrixBase< BaseFloat > &data, Matrix< BaseFloat > *loglikes) const | DiagGmm | |
| LogLikelihoodsPreselect(const VectorBase< BaseFloat > &data, const std::vector< int32 > &indices, Vector< BaseFloat > *loglikes) const | DiagGmm | |
| means_invvars() const | DiagGmm | inline |
| means_invvars_ | DiagGmm | private |
| Merge(int32 target_components, std::vector< int32 > *history=NULL) | DiagGmm | |
| merged_components_logdet(BaseFloat w1, BaseFloat w2, const VectorBase< BaseFloat > &f1, const VectorBase< BaseFloat > &f2, const VectorBase< BaseFloat > &s1, const VectorBase< BaseFloat > &s2) const | DiagGmm | private |
| MergeKmeans(int32 target_components, ClusterKMeansOptions cfg=ClusterKMeansOptions()) | DiagGmm | |
| NumGauss() const | DiagGmm | inline |
| operator=(const DiagGmm &other) | DiagGmm | private |
| Perturb(float perturb_factor) | DiagGmm | |
| Read(std::istream &in, bool binary) | DiagGmm | |
| RemoveComponent(int32 gauss, bool renorm_weights) | DiagGmm | |
| RemoveComponents(const std::vector< int32 > &gauss, bool renorm_weights) | DiagGmm | |
| Resize(int32 nMix, int32 dim) | DiagGmm | |
| SetComponentInvVar(int32 gauss, const VectorBase< Real > &in) | DiagGmm | |
| SetComponentMean(int32 gauss, const VectorBase< Real > &in) | DiagGmm | |
| SetComponentWeight(int32 gauss, BaseFloat weight) | DiagGmm | inline |
| SetInvVars(const MatrixBase< Real > &v) | DiagGmm | |
| SetInvVarsAndMeans(const MatrixBase< Real > &invvars, const MatrixBase< Real > &means) | DiagGmm | |
| SetMeans(const MatrixBase< Real > &m) | DiagGmm | |
| SetWeights(const VectorBase< Real > &w) | DiagGmm | |
| Split(int32 target_components, float perturb_factor, std::vector< int32 > *history=NULL) | DiagGmm | |
| valid_gconsts() const | DiagGmm | inline |
| valid_gconsts_ | DiagGmm | private |
| weights() const | DiagGmm | inline |
| weights_ | DiagGmm | private |
| Write(std::ostream &os, bool binary) const | DiagGmm | |
1.8.13