[agrum] updating changelog(2)

parent 44a15faa
Pipeline #14341342 passed with stages
in 43 minutes 36 seconds
# aGrUM Changelog
## Changelog for 0.13.0 (in progress)
* Documentations
* agrum : doxygen help's structure and howtos
* pyAgrum : documentation of a large parts of the pyAgrum"s API, export to pyagrum.readthedocs.io
* o3prm : still in progress (see o3prm.lip6.fr, o3prm.readthedocs.io)
* pyAgrum : documentation of a large parts of the pyAgrum's API, export to https://pyagrum.readthedocs.io
* o3prm : still in progress (see https://o3prm.lip6.fr, https://o3prm.readthedocs.io)
* O3PRM
* new syntax for types (see ?)
* read and write Bayesian Network with O3PRM syntax (see ?)
......@@ -20,6 +21,7 @@
* new command guideline for a few easy checks
## Changelog for 0.12.0
* API
* new class EssentialGraph
* new class MarkovBlanket
......@@ -36,6 +38,7 @@
* improving act
## Changelog for 0.11.2
* aGrUM
* a lot of internal changes for CI in gitlab (especially for future automatic generation of wheels)
* learning: correct identification of string labels beginning with digits
......@@ -50,9 +53,11 @@
* pyagrum.lib.bn2roc: use a csv with labels by default (parameter with_labels:boolean)
## Changelog for 0.11.1
* 2 typos found in pyAgrum.lib.notebook
## Changelog for 0.11.0
* internal
* working on continuous integration with gitlab
* aGrUM/pyAgrum to be compilable with g++-4.8
......@@ -77,6 +82,7 @@
* API change : adding LazyInference.evidenceJointImpact(set of targets,set of evs)
## Changelog for 0.10.4
* Add new approximated inference : LBP (aGrUM and pyAgrum)
* Fix bugs in LazyPropagation and Shafer-Shenoy inference
* Refresh some codes in Learning module
......@@ -86,9 +92,11 @@
## Changelog for 0.10.3
* Only bug fixes in tests
## Changelog for 0.10.2
* New method for BayesNet : minimalCondSet
* New method for all inference : evidenceImpact
* Potential has a (single) value even if no dimension.
......@@ -97,6 +105,7 @@
* Many internal changes
## Changelog for 0.10.1
* aGrUM
* Fix GCC compilation
* ParamEstimator::setMaxThread new method
......@@ -109,6 +118,7 @@
* pyAgrum.so (linux) size significantly reduced
## Changelog for 0.10.0
* aGrUM
* Improvements in inference : New target/evidence-driven incremental inference scheme using relevant reasoning used by Lazy/Shafer-Shenoy/Variable Elimination algorithms. Relevant reasoning leads to a major improvement of the inference (see http://www-desir.lip6.fr/~phw/aGrUM/officiel/notebooks/RelevanceReasoning.html).
* pyAgrum
......@@ -116,6 +126,7 @@
* Installers using pip or anaconda.
## Changelog for 0.9.3
Tag 0.9.3 has not been properly announced. Still, many changes in this release :
* Many bug fixes and API glitch/improvement
......@@ -137,6 +148,7 @@ Tag 0.9.3 has not been properly announced. Still, many changes in this release :
* aGrUM/pyAgrum compilation on windows using Visual Studio 2015
## Changelog for 0.9.2
* aGrUM
* Improvements in Inference
* old LazyPropagation renamed JunctionTreeInference,
......@@ -158,6 +170,7 @@ Tag 0.9.3 has not been properly announced. Still, many changes in this release :
* small bugs fixed and reorganisation
##Changelog for 0.9.1
* aGrUM
* Improvement in learning algorithms
* learning from databases with fewer rows than there are processors
......@@ -172,6 +185,7 @@ Tag 0.9.3 has not been properly announced. Still, many changes in this release :
* bug fixes and other improvements
## Changelog for 0.9.0
Aside from many bug fixes and general improvements such as performance optimizations in various areas, some changes are especially noteworthy:
* Functionality : Structural and parameter learning for Bayesian networks
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment