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aGrUM 3.2.0
a C++ library for (probabilistic) graphical models
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A cached marginal time-series for one base: owned variable descriptors paired with their marginals, indexed by slice (single entry for an atemporal base). Descriptors are owned so tensors get a stable per-slice name rather than the reused ring-slot name they came from. More...
Public Attributes | |
| std::vector< std::unique_ptr< DiscreteVariable > > | vars |
| std::vector< Tensor< GUM_SCALAR > > | tensors |
A cached marginal time-series for one base: owned variable descriptors paired with their marginals, indexed by slice (single entry for an atemporal base). Descriptors are owned so tensors get a stable per-slice name rather than the reused ring-slot name they came from.
Definition at line 429 of file KTBNInference.h.
| std::vector< Tensor< GUM_SCALAR > > gum::KTBNInference< GUM_SCALAR >::_Series_::tensors |
Definition at line 431 of file KTBNInference.h.
Referenced by gum::KTBNInference< GUM_SCALAR >::_snapshot_(), gum::KTBNInference< GUM_SCALAR >::makeInference(), gum::KTBNInference< GUM_SCALAR >::posterior(), and gum::KTBNInference< GUM_SCALAR >::posteriors().
| std::vector< std::unique_ptr< DiscreteVariable > > gum::KTBNInference< GUM_SCALAR >::_Series_::vars |
Definition at line 430 of file KTBNInference.h.
Referenced by gum::KTBNInference< GUM_SCALAR >::_snapshot_(), and gum::KTBNInference< GUM_SCALAR >::makeInference().