[Peter Gober] libDAI now compiles out-of-the-box under Cygwin
[libdai.git] / ChangeLog
1 * [Peter Gober] Made libDAI compile out-of-the-box on Cygwin.
2
3
4 git 39a4865f4eb0b32109ca50e7980028fed835adb9
5 --------------------------------------------
6 * [Frederik Eaton] Added Gibbs sampler to algorithms
7 * Improved documentation of include/dai/{bipgraph.h, prob.h, smallset.h,
8 var.h, varset.h, factor.h, enum.h} and of examples/example.cpp
9 Merged TODO and FILEFORMAT into doxygen documentation
10 * examples/
11 - Moved example.cpp to examples/
12 - Added examples/example_bipgraph.cpp
13 - Added examples/example_varset.cpp
14 * Interface changes:
15 - Replaced TProb<T>::log0() by TProb<T>::log(true)
16 - Replaced TProb<T>::takeLog0() by TProb<T>::takeLog(true)
17 - Replaced TFactor<T>::log0() by TFactor<T>::log(true)
18 - Removed TProb<T>::hasNonPositives()
19 - Renamed smallSet<T> to SmallSet<T>
20 - Removed TFactor<T>::divided_by, use operator/ instead
21 - Removed TFactor<T>::divide, use operator/= instead
22 - Removed TFactor<T>::partSum(const VarSet&), use marginal(const VarSet&,true) instead
23 - Improved constructors of TProb and TFactor to use iterators instead of pointers
24 * Miscellaneous small changes and cleanups:
25 - Changed regression test so that it also works under Windows
26 - Changed output stream operator<< for Var and VarSet
27 - Added TProb::draw() function, which draws a random index
28 - Cleanup of matlab interface code
29 - Small improvement of utils/fginfo
30 - Small cleanup of BP code
31 - Switched Makefile.win to GNU Make syntax
32
33
34 libDAI-0.2.2 (2008-09-30)
35 -------------------------
36
37 New features:
38 * Approximate inference methods now report the number of iterations needed.
39 * Added damping to various algorithms to improve convergence properties.
40 * Added more features to utils/createfg for creating factor graphs.
41 * Added ExactInf class for brute force exact inference.
42 * [Giuseppe Pasino] Added "logdomain" property to BP, a boolean that controls
43 whether calculations are done in the log-domain or in the linear domain;
44 doing calculations in the log-domain may help if the numerical range
45 of a double is too small.
46 * [Claudio Lima] Added Max-Product functionality to BP.
47 * Improved documentation.
48
49 Improved architecture:
50 * Added Exceptions framework.
51 * Pervasive change of BipartiteGraph implementation (based on an idea by
52 Giuseppe Passino). BipartiteGraph no longer stores the node properties
53 (former _V1 and _V2), nor does it store a dense adjacency matrix anymore,
54 nor an edge list. Instead, it stores the graph structure as lists of
55 neighboring nodes. This yields a significant memory/speed improvement for
56 large factor graphs, and is more elegant as well. Iterating over neighbors is
57 made easy by using boost::foreach.
58 * Added conditional compilation of inference methods.
59 * VarSet is now implemented using a std::vector<Var> instead of a
60 std::set<Var>, which yields a significant speed improvement. Furthermore,
61 the implementation has been generalized, resulting in the small_set<T> class
62 which can be used to represent sets of small cardinality; VarSet is the
63 specialization with T = Var.
64 * Improved ClusterGraph implementation, yielding significant speedups
65 for the JunctionTree algorithm on large factorgraphs.
66
67 Code cleanup:
68 * Moved everything into namespace "dai".
69 * Renamed DEBUG to DAI_DEBUG to avoid conflicts.
70 * Replaced ENUM2,ENUM3,ENUM4,ENUM5,ENUM6 by single DAI_ENUM macro.
71 * Removed utils/remove_short_loops and matlab/remove_short_loops.
72 * Replaced sub_nb class in mr.h by boost::dynamic_bitset.
73 * Improved index.h:
74 - Renamed Index -> IndexFor
75 - Added some .reserve()'s to IndexFor methods which yields a
76 25% speedup of testregression
77 - Replaced multind by Permute
78 - Added MultiFor
79 - Added State
80 * New funcstionality of factor.h.
81 * Moved Properties and MaxDiff frameworks from InfAlg to each individual
82 inference algorithm, because the Properties framework was not as
83 convenient as I hoped, and not every inference algorithm needs a maxdiff
84 variable. Also, replaced some FactorGraph functionality in InfAlg by a
85 function that returns the FactorGraph. The result is cleaner (less
86 entangled) code.
87 * Removed x2x.
88 * Replaced Complex with real numbers (negative potentials are just too rare
89 to warrant the additional "complexity" :)).
90
91 Miscellaneous improvements:
92 * Now compiles also with MS Visual C++ (thanks to Jiuxiang Hu) and with
93 GCC under cygwin.
94 * Contributions by Peter Gober:
95 - Renamed variable _N in mr.* for compatibility with g++ under cygwin.
96 * Misc contributions by Giuseppe Passino:
97 - removed "using namespace std;" from header files - bad practice;
98 - moved header files in include/dai and sources in src;
99 - changed #ifndefs to GNU style;
100 - added extra warning checks (-W -Wextra) and fixed resulting warnings;
101 - dai::TProb:
102 o removed copy constructor and assignment operators (redundant);
103 o implementation of some methods via STL algorithms;
104 o added methods takeExp, takeLog, takeLog0 for transformation in-place;
105 o explicit constructor (prevents implicit conversion from size_t to TProb);
106 o added operator+,+=,-,-=, with argument T (for calculations in log-scale);
107 * Misc contributions by Christian Wojek:
108 - New FactorGraph constructor that constructs from given ranges of factors
109 and variables;
110 - Optimization of FactorGraph constructors using tr1::unordered_map.
111 * FactorGraph constructors no longer check for short loops (huge speed
112 increase for large factor graphs), nor for negative entries. Also, the
113 normtype is now Prob::NORMPROB by default.
114 * Improved MaxSpanningTreePrims algorithm (uses boost::graph).
115
116 Interface changes:
117 * VarSet::
118 - VarSet::stateSpace() -> nrStates(const VarSet &)
119 - VarSet( const std::set<Var> ) -> VarSet( begin, end, sizeHint=0 )
120 - VarSet( const std::vector<Var> ) -> VarSet( begin, end, sizeHint=0 )
121 - removed bool operator||
122 - operator&&(const VarSet&) -> intersects(const VarSet&)
123 - operator&&(const Var&) -> contains(const Var&)
124 * FactorGraph::
125 - delta(const Var &) -> delta(size_t)
126 - Delta(const Var &) -> Delta(size_t)
127 - makeCavity(const Var &) -> makeCavity(size_t)
128 - vars() -> vars
129 - factors() -> factors
130 - removed MakeFactorCavity(size_t)
131 - removed ExactMarginal(const VarSet &)
132 - removed ExactlogZ()
133 - removed updatedFactor(size_t)
134 - removed _normtype and NormType()
135 - removed hasShortLoops(...) and removeShortLoops(...)
136 - WriteToDotFile(const char *filename) -> printDot( std::ostream& os )
137 - undoProb(size_t) -> restoreFactor(size_t)
138 - saveProb(size_t) -> backupFactor(size_t)
139 - undoProbs(const VarSet &) -> restoreFactors(const VarSet &)
140 - saveProbs(const VarSet &) -> backupFactors(const VarSet &)
141 - ReadFromFile(const char*) returns void (throws on error)
142 - WriteToFile(const char*) returns void (throws on error)
143 - removed hasNegatives()
144 * RegionGraph::
145 - nr_ORs() -> nrORs()
146 - nr_IRs() -> nrIRs()
147 - ORs() -> ORs
148 - IRs() -> IRs
149 * *::Regenerate() -> *::construct()
150 * Renamed Index -> IndexFor
151 * Diffs:
152 - max() -> maxDiff()
153 - max_size() -> maxSize()
154 * Prob::max() -> Prob::maxVal()
155 * Factor::
156 - max() -> maxVal()
157 - part_sum() -> partSum()
158 * toc() in util.h now returns seconds as a double
159 * VarSet::operator&&
160 * Properties -> PropertySet
161
162
163 libDAI-0.2.1 (2008-05-26)
164 -------------------------
165
166 Bugfix release.
167 * added missing cstdio header in util.h
168 * fixed Properties in MR_CLAMPING_* and MR_EXACT_*
169 * added description of the factor graph fileformat
170 * improved Makefile
171
172
173 libDAI-0.2.0 (2006-11-30)
174 -------------------------
175
176 First public release.
177
178
179 0.1.5 (2006-11-30)
180 ------------------
181
182 Regressions
183
184 - tests/testlcbp and tests/testlcbp are broken.
185 - EXACT method does not work anymore.
186 - The Properties framework gives a speed penalty because of the lookup
187 costs involved; inner loops should be optimized.
188
189 General framework
190
191 - DAIAlg is now a template class; typedefs for DAIAlg<FactorGraph> and for
192 DAIAlg<RegionGraph> are provided. In this way, we do not have to write "wrapper"
193 functions to forward functionality from either FactorGraph or RegionGraph
194 to DAIAlg. Functionality like clamping can be implemented in FactorGraph
195 and in RegionGraph and no explicit interface is needed in descendants.
196 - New abstract base class InfAlg added, representing an inference algorithm,
197 from which DAIAlg<T> inherits. This solves the incompatibility problems of
198 DAIAlg<T> for different T (e.g. DAIAlg<FactorGraph> was incompatible with
199 DAIAlg<RegionGraph>). More work is required to reduce code duplication
200 (make FactorGraph part of InfAlg).
201 - Added generic interface (nrVars(), Vars(), nrFactors(), factor(size_t),
202 beliefs(), belief(VarSet &), ...) to InfAlg and descendants.
203 - Added a saveProbs/undoProbs interface to InfAlg and descendants that enables
204 one to save a few factors, modify them (e.g. clamp them), and then restore them
205 to their old values. Undo should also init the corresponding messages / beliefs.
206 This can be used if a given factor graph repeatedly needs to be clamped in
207 different ways and an approximation method is run for each clamping; using the
208 saveProbs/undoProbs can give a significant speed increase.
209 - Switched to a general Properties framework that handles the parameters of
210 all inference methods in a uniform manner. The Properties class is a map of
211 several properties in boost::any objects, indexed by their names (strings).
212 It can read from a stream and write to a stream. It is recursive, in the sense
213 that a Properties object can hold a variable of type Properties as well.
214 - Added a generic way of constructing inference algorithms from a factor graph,
215 name and properties object. Added the newInfAlg function which constructs
216 the requested object. This is used by LCBP, the Matlab interface and the
217 command line (test) interface.
218 - Added a generic enum framework for enum parameters. Although implemented as a
219 hack, it is quite useful in that it drastically simplifies and reduces the
220 amount of code for handling enum parameters.
221 - Provided generic functions for calculating marginals in different ways that
222 work for all approximate inference methods.
223
224 Bugfixes
225
226 - Fixed GBP free energy.
227 - Fixed bug in junctiontree (it didn't init the _vars variable).
228 - Corrected two bugs in operator&& and operator|| in VarSet (they returned
229 the logical NOT of what they should return).
230 - Fixed bug in RegionGraph::RecomputeOR(s).
231 - Fixed bug in utils/create_dreg_fg:
232 graph structure was not random for given parameters (forgot to call srand()).
233 - TreeEP bug workaround: use the complete junction tree instead of a subtree.
234 - Fixed bug in JTree::HUGIN() and JTree:ShaferShenoy() in case of junction tree
235 that consists of one outer region only.
236 - Fixed INIT bug in LCBP2::UpdatePancake().
237 - Fixed MaxDiffs flow (except for MR).
238
239 New functionality
240
241 - HAK supports several default cluster choices:
242 minimal (only factors)
243 delta (Markov blankets)
244 loop (all loops consisting of loops consisting of <loopdepth> or less variables)
245 Only the maximal clusters are used as outer clusters.
246 - Implemented TreeEP. It generalizes the heuristic method described in the
247 Minka & Qi paper for obtaining a tree with the most relevant interactions to
248 higher order interactions. Almost all optimizations described in the Minka & Qi
249 paper are used, except that evidence is passed over the whole tree instead of
250 relevant subsets (the latter is almost implemented but buggy). Also added
251 alternative (worst-case) algorithm that uses a maximum spanning tree on the
252 weighted graph where the weight between neighbours i and j is given by
253 N(psi,i,j), where psi is the product of all the factors involving both i and j
254 (which is an upper bound on the effective interaction between i and j).
255 - Implemented MR (MontanariRizzo) based on Bastian's code, but extended it
256 to be able to handle connectivities larger than 3 (in principle, up to 32).
257 It supports different initialization methods (the original RESPPROP,
258 the CLAMPING method and EXACT which uses JTree) and different update methods
259 (FULL and LINEAR).
260 - Implemented LCBP2, an analogon of LCBP which represents pancakes as little
261 networks and uses some approximate inference method on them for calculating
262 marginals.
263 - Now there are several LCBP variants (LCBP, LCBPI, LCBPJ, LCBPK, LCBPL);
264 LCBPJ works only for pairwise, LCBPK is LCBP improved for higher order
265 interactions and LCBPL is LCBPI improved for higher-order interactions.
266 - Wrote one single program utils/createfg for creating various types of
267 random factor graphs.
268 - Wrote utility to visualize factor graphs using graphviz.
269 (it uses the BOOST Program Options library)
270 - Added fginfo utility that displays some info about a .fg file.
271 - Implemented Factor::strength function that calculates the potential strength
272 N(psi,i,j) between variables i and j as described in cs.IT:0504030
273 - Wrote a general MatLab interface matlab/dai (similar to tests/test);
274 this unified the matlab functions dai, dai_bp, dai_mf, dai_jt, dai_tep, dai_cvm.
275 - Added MATLAB routine that returns contraction matrix A for BP convergence analysis.
276 - Implemented a MATLAB interface ai_potstrength for Factor::strength
277 - Added Martijn's x2x
278
279 Improvements of existing code
280
281 - Reimplemented RegionGraph and descendants: a RegionGraph ISA FactorGraph
282 and also a BipartiteGraph<FRegion,Region>. It now also keeps a map that
283 associates outer region indices to factor indices (no powers yet, this
284 is deemed superfluous) and provides functions to recompute (some of) the
285 outer regions from the factors.
286 - InfAlg descendants run() methods now stop immediately and return NAN in case
287 they detect NANs. Only BP does not do NAN checking for performance reasons.
288 - LCBP now works with factors containing zeroes (by defining x/0 = 0).
289 - HAK, GBP and DoubleLoop now conform to the standards for verbose reporting,
290 timing and convergence criteria.
291 - Implemented logZ() for JTree. It does the calculation during message-passing.
292 - Marginal2ndO now optionally divides by the single node beliefs (to the power n-2);
293 hopefully this will give more accurate approximations.
294 - Marginal and Marginal2ndO (optionally) use the new saveProbs/undoProbs functionality
295 for a faster way of calculating marginals, which does not require a call to init()
296 nor cloning the whole object for each clamping. This leads to a significant speedup.
297 - LCBP (and LCBP2) now have complete flexibility in the specification of the
298 inner method, i.e. the method used to generate the initial cavity approximations.
299 One can pass two strings, a name and a properties string, and LCBP simply invokes
300 newInfAlg to construct the corresponding inference algorithm and uses the generic
301 marginal functions to approximate cavity marginals.
302 - Replaced the global "method" variable by local properties and removed ai.h
303 - Added some methods to Factor (operators *, *=, /, /= with doubles as
304 second argument, operators -, +=, -= with other Factors as second
305 arguments, randomize(), RemoveFirstOrderInteractions) and similar
306 operations to Prob
307 - Moving towards boost::program_options for handling command line arguments
308 (tests/test is done).
309 - Renamed some FactorGraph methods:
310 nr_vars -> nrVars
311 nr_factors -> nrFactors
312 varind -> findVar
313 factorind -> findFactor
314 makeFacCavity -> makeFactorCavity
315 - LCBP_SEQMAXRES has been removed because it did strange things.
316 - Implemented RandomDRegularGraph
317 - Implemented JTree::calcMarginal for marginals that are not confined
318 within one cluster (using cut-set conditioning).
319 - Added isConnected() method to FactorGraph (some methods do not work with
320 disconnected factor graphs).
321 - Pair beliefs are now calculated in a symmetrical way by calcPairBeliefs
322 - Removed single node interaction "correction" code from clamping methods
323 - Removed calcCavityDist and calcCavityDist2ndO
324 - No longer depends on GSL.
325 - Increased portability by combining platform dependant utility functions
326 in util.{h,cpp}.
327 - Wrote *.m files providing help
328
329 Testing framework
330
331 - Made a new and significantly improved testing framework that provides most
332 functionality from the command line.
333 - The basis is provided by tests/test, which uses the newInfAlg functionality
334 and enables the user to easily compare from the command line different
335 inference methods on a given factorgraph. All parameters can be specified.
336 Output consists of CPU time, average and maximum single variable marginal
337 errors, relative logZ error and MaxDiff().
338 - tests/aliases.conf contains aliases for standard combinations of methods
339 and their options (which can be used in tests/test).
340 - tests/large contains several bash/python scripts that create random factor
341 graphs, compare several approximate inference algorithms (using tests/test) and
342 allow for easy visualization of the results using PyX.
343 - Added several .fg files for test purposes to /tests (e.g. two ALARM versions
344 alarm.fg and alarm_bnt.fg; testfast.fg, a 4x4 periodic Ising grid for
345 regression testing).
346 - Added a regression test to the Makefile which is included in the standard
347 target. It compares all inference methods on tests/testfast.fg with the
348 results stored in tests/testfast.out
349
350 Miscellaneous
351
352 - Expanded all tabs to spaces (":set tabstop 4\n:set expandtab\n:retab" in vim)
353 - Experimental MATLAB code added for StarEP approximation on cavity
354 - Renamed project to libDAI and changed directory name accordingly.
355 - Renamed JunctionTree to JTree.
356 - Fixed licensing (now it's officially GPL).
357 - Improved README
358
359
360 revision 252
361 ------------
362
363 Functionality
364 - Added RegionGraph, GBP, CVM and HAK (double-loop).
365 - Added JunctionTree (with two update algorithms, HUGIN and Shafer-Shenoy), which is a
366 RegionGraph.
367 - NormType is now chosen automatically (in case of negative factors, Prob::NORMLINF is used,
368 otherwise the default Prob::NORMPROB is used). Also, in case of negative factors, the
369 RegionGraph constructors assign each Factor to a unique outer region instead of dividing
370 it over all subsuming outer regions. See README for when negative factors are known to work
371 and when not.
372 - FactorGraph::FactorGraph(const vector<Factor>) only gives a warning in case of short loops,
373 it does not automatically merge factors anymore.
374 - Removed BP_SEQMAXRESNOCLEAR (all cavity initialization methods now are implicitly NOCLEAR)
375 - Added MATLAB interface functions ai_readfg, ai_removeshortloops and ai_bp
376 - Added LCBP-III type that should be equivalent to LCBP-II, but can handle zeroes
377 in potentials. Note that it is significantly slower than LCBP-II (and has to be reimplemented
378 such that it does not store the complete pancakes, but represents them as little factor graphs).
379
380 Implementation / code
381 - Made a seperate type WeightedGraph, which until now only implements Prim's
382 maximal spanning tree algorithm and is only used by the junction tree code. It might
383 be good to make it a class somewhere in the future and extend it's interface.
384 - Made a seperate class ClusterGraph, which is only used by the junction tree
385 code. It's main purpose is a graph-theoretical variable elimination algorithm.
386 - Implemented the heuristic "minimum-new-edges-in-clique-graph" for variable elimination.
387 - Massive code cleanup, moving towards "generic" programming style, using
388 multiple inheritance and polymorphism.
389 o BP, LCBP, MF, HAK and JunctionTree now inherit from a common DAIAlg class
390 o Made generic functions Marginal, Marginal2ndO, calcCavityDist, calcCavityDist2ndO, clamp
391 that can be used by FactorGraph-based DAIAlgs.
392 o Created TProb<T> class, which stores a probability vector (without the accompanying indexing
393 and VarSet) and provides functionality for it (which is used by TFactor<T>).
394 o Rewrote the VarSet class. It now caches its statespace(). It now privately inherits from set<Var>.
395 I had to overload the insert methods of set<Var> so that they calculate the new statespace.
396 o Rewrote the TFactor class. The TFactor class now HAS a TProb and HAS a VarSet.
397 - Rewrote BP to use the new TProb<T> interface. Performance of BP improved up to a factor 6 by:
398 o using Prob's instead of Factor's;
399 o splitting the multiplication of the messages into two parts (thanks to Vicenc!);
400 o optimizing the calculation of the beliefs (only the message calculations were optimized till now).
401 o replacing FactorGraph::_nb1 and _nb2 (which were set<size_t>) by vector<size_t>
402 - LCBP now seperately stores cavitydists and pancakes. Added InitPancakes() method
403 that takes the cavitydists and multiplies them with the relevant factors. This
404 resulted in an API change in AI which now accepts and returns initial cavitydists
405 instead of initial pancakes.
406
407 Minor changes
408 - Started writing DoxyGen documentation
409 - Renamed lcptab2fg.m matlab/ai_writefg.m
410 - Moved all matlab stuff to matlab/
411 - More detailed reporting (also reports clocks used).
412 - Marginal and Marginal2ndO now use *differences* in logZ to avoid NaNs.
413 - Improved testing suite.
414 - Removed logreal support.
415 - FactorGraph now also supports input streams and ignores comment lines in .fg files.
416 - Added tests/create_full_fg.cpp and tests/create_ising_fg.cpp which create
417 full and periodic 2D Ising networks according to some command line parameters.
418 - Now logZ really returns logZ instead of -logZ.
419 - Added FactorGraph::WriteToDotFile
420
421
422 0.1.4 (2006-04-13)
423 ------------------
424 - Added file IO routines to read and write factorgraphs.
425 - Added L-infinity normalization for use with (partially) negative factors.
426 - Renamed BetheF, MFF to logZ, which now use complex numbers to be able to
427 handle (partially) negative factors.
428 - Added test suite.
429 - All probabilities are now represented using double instead of LogReal<double>.
430 - Combined Alg and Alg3 into LCBP. Several update schemes possible.
431 - Combined several variants of BP into doBP. Several update schemes possible.
432 Now uses precalculated indices for optimization.
433 - Renamed Node -> Var and Potential -> Factor.
434 - Extensive code cleanup. More use of OO techniques. Changed API.
435 - MaxIter now means maximum number of passes (corresponding to number of
436 _parallel_ updates).
437 - MaxDiff now means the maximum L-infinity distance between the updated and
438 original single variable beliefs, for all AI methods.
439 - Implemented RBP which converges faster than BP for difficult problems.
440 - Now uses method parameter which is a bitmask combining outmethod and inmethod
441 (see ai.h).
442
443
444 0.1.3 (2006-03-22)
445 --------------------
446 - All AI methods now return maxdiff
447 - ai.cpp:
448 o Now returns maxdiffinner and maxdiffouter
449 o New BP2ndO innermethod (estimate only 2nd order cavity interactions)
450 o New InitCav outermethod (only create initial cavity distributions)
451 - bp.cpp:
452 o New CavityDist2ndO which estimates 2nd order cavity interactions
453 - Makefile:
454 o Bugfix: removed dependencies on algwim.*
455
456
457 0.1.2 (2006-02-28)
458 --------------------
459 - Cleaned up alg.cpp (removed Alg2 and its corresponding data structures).
460 - Added the possibility to provide initial cavity distributions as an input
461 argument to ai (not much error checking is done, so be careful).
462 - Potentials2mx now correctly sets the dimensions of the P field (i.e. for
463 the output arguments Q, Q0 of ai).
464 - Removed algwim.* since it does not work.
465
466
467 0.1.1 (2006-02-28)
468 --------------------
469 - The constructors of (Log)FactorGraph and LogFactorGraph from a
470 vector<(Log)Potential> now merge potentials to prevent short loops (of length
471 4) in the factor graph. These are used in ai to construct the factor graphs
472 from the psi argument. If compiled with DEBUG defined, the method calc_nb()
473 of BipGraph checks for the existence of short loops.
474 - Changed calling syntax of ai (now the actual syntax *does* correspond to its
475 description in the help).
476 - ai does not hook cout anymore (which caused weird segfaults).
477 - Fixed a bug in an assert statement in the matlab interface code in ai.cpp.
478 - Removed network.* since it is not useful.
479
480
481 0.1.0 (2006-02-28)
482 --------------------
483 First version worthy a version number.