cc22e82ca6
Joint densities (covariances) now done. Was exceedingly easy :-)
2009-11-09 00:13:44 +00:00
86173b66af
Clique marginal and dramatically simplified single variable marginal.
2009-11-08 22:51:12 +00:00
58007a8167
Working recursive (but not cached) shortcut.
2009-11-08 04:41:01 +00:00
cc5a2c3183
Renamed double-templated functions to _eliminate and _eliminateOne, and created FactorGraph-specific eliminateOne methods to make life easier
2009-11-07 21:03:30 +00:00
df3e5f2416
BIG: eliminate and eliminateOne now doubly templated functions, not methods.
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Minor: Standardized on new shared_ptr naming convention:
shared_factor -> sharedFactor
conditional_ptr -> sharedConditional
node_ptr -> sharedClique
2009-11-07 19:31:39 +00:00
f5d186522e
Standardized on new shared_ptr naming convention
2009-11-07 17:24:05 +00:00
cd313e2f82
operator[] to retrieve clique
2009-11-06 05:55:29 +00:00
e1716a39cd
Two changes: LinearFactor::sparse and LinearFactorGraph:sparse, and renamed VariableSet -> Dimensions, which is now a map from keys to integer variable dimensions. Merged in from the "sparse" branch created with Viorela.
2009-11-06 05:43:03 +00:00
d9289d14b3
marginals on any scalar now work
2009-11-05 08:06:32 +00:00
cabcda5a96
marginal compiles and runs for frontal node in clique
2009-11-05 06:30:50 +00:00
11fcd5a69d
KISS: just a map of pointers in BayesTree now
2009-11-05 05:29:47 +00:00
4865edb883
Removed debug code, added marginal function
2009-11-04 03:22:29 +00:00
e9d942f81e
BayesNet is now list-based for fast bi-directional access
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SLOW O(n) random access operator[key] provided
(should maybe be called [at] as it does bounds checking)
I also fixed a bug in equals.
2009-11-03 06:29:56 +00:00
eab038651e
Renamed BayesNet::insert -> push_back. BayesTree now uses Bayes nets as nodes.
2009-11-02 05:17:44 +00:00
a8d267c4ca
Small change necessitating lots of edits: Conditionals now include key of random variable
...
This simplifies Bayes nets quite a bit. Also created a Conditional base class, derived classes ConditionalGaussian and SymbolicConditional
Finally, some changes were needed because I moved some headers to .cpp
2009-11-02 03:50:30 +00:00
943b692a6b
BIG CHANGE: I got rid of the BayesChain/ChordalBayesNet classes and we now simply have a BayesNet class. It will just happen to be chordal when it is the result of an elimination. This will simplify a lot of things.
...
The main renaming that happened is
BayesChain -> BayesNet
ChordalBayesNet -> GaussianBayesNet == BayesNet<ConditionalGaussian>
SymbolicBayesChain -> SymbolicBayesNet == BayesNet<SymbolicConditional>
2009-10-31 19:53:20 +00:00
c046fed37c
Bayes tree constructor implemented and tested with ASIA, as well as smoother example from frankcvs meeting
2009-10-31 16:57:36 +00:00
e1f14b34c3
Implemented [equals] using binary predicate and STL's equal
2009-10-31 14:12:41 +00:00
53890c4ba6
Symbolic Bayes Tree successfully constructed
2009-10-31 05:12:39 +00:00
cefeca149b
Moved template definitions to BayesTree-inl.h
2009-10-30 13:03:38 +00:00
Frank Dellaert