updating CHANGELOG

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## 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 https://pyagrum.readthedocs.io
* o3prm : still in progress (see https://o3prm.lip6.fr, https://o3prm.readthedocs.io)
* agrum : doxygen helps structure and howtos
* 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 ?)
* aGrUM
* new learning algorithm (see ?)
* new approximated inference : MonteCarlo/Importance/Weighted Sampling + the same using LBP as a Dirichlet prior.
* new approximated inference : Monte-Carlo/Importance/Weighted Sampling + the same using LBP as a Dirichlet prior.
* pyAgrum
* wheels for python 3.3 and 3.4
* access to the new learning algorithm using BNLearner
* access to the new learning algorithm using `BNLearner`
* access to the new inference algorithms
* many bug fixes
* act
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## Changelog for 0.12.0
* API
* new class EssentialGraph
* new class MarkovBlanket
* improved targets in MarginalTargettedInference
* new class `EssentialGraph`
* new class `MarkovBlanket`
* improved targets in `MarginalTargettedInference`
* pyAgrum
* update notebooks
* new swig-based documentation framework
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* notebooks as tests (now in wrappers/pyAgrum/notebooks)
* updating requirements
* some improvements in doc
* pyagrum.lib.ipython: emulation of 'pyagrum.lin.notebook' for ipython graphical console (within spyder for instance)
* pyagrum.lib.ipython: emulation of 'pyagrum.lib.notebook' for ipython graphical console (within spyder for instance)
* pyagrum.lib.bn2csv: csv file with labels of variables instead of index (parameter with_labels:boolean)
* pyagrum.lib.bn2roc: use a csv with labels by default (parameter with_labels:boolean)
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* aGrUM/pyAgrum to be compilable with win32
* pyAgrum wheels generation using act for 'pip' tool
* aGrUM
* removing some unused datastructure (AVLTree)
* fixing bug in localSearchWithTabuList learning class
* removing some unused data structure (`AVLTree`)
* fixing bug in `localSearchWithTabuList` learning class
* Remove wrong parallel estimations for learning (now correct but sequential)
* working on docs
* API change : add BayesNet::minimalCondSet(NodeSet&,NodeSet&) (migration from pyAgrum to aGrUM)
* API change : add `BayesNet::minimalCondSet(NodeSet&,NodeSet&)` (migration from pyAgrum to aGrUM)
* API change : add JointTargettedInference::evidenceJointImpact()
* pyAgrum
* API changes : pyAgrum.lib.bn2graph (BN2dot, BNinference2dot, proba2histo)
* API changes : pyAgrum.lib.pretty_print (bn2txt, cpt2txt)
* API changes : pyAgrum.lib.notebook : uniformizing parameters evs (first) and targets (second) order.
* API changes : pyAgrum.lib.notebook : showEntropy->showInformation
* API changes : pyAgrum.lib.bn2graph (`BN2dot`, `BNinference2dot`, `proba2histo`)
* API changes : pyAgrum.lib.pretty_print (`bn2txt`, `cpt2txt`)
* API changes : pyAgrum.lib.notebook : uniforming parameters evs (first) and targets (second) order.
* API changes : pyAgrum.lib.notebook : `showEntropy->showInformation`
* updating sphinx help generation
* fix CNMonteCarloSampling not recognized as ApproximationScheme
* enhancing showInformation with Mutual Information on arcs
* API change : adding BayesNet.minimalCondSet(set of targets,set of evs) (as wrapper)
* API change : adding LazyInference.evidenceJointImpact(set of targets,set of evs)
* fix `CNMonteCarloSampling` not recognized as `ApproximationScheme`
* enhancing `showInformation` with Mutual Information on arcs
* API change : adding `BayesNet.minimalCondSet(set_of_targets,set_of_evs)` (as wrapper)
* 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
* Add new approximated inference : `LBP` (aGrUM and pyAgrum)
* Fix bugs in `LazyPropagation` and `ShaferShenoy` inference
* Refresh some codes in Learning module
* Update (and simplify) CMakeLists.txt for new swig 3.0.11
* Add some project files (including this CHANGELOG.md)
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## Changelog for 0.10.2
* New method for BayesNet : minimalCondSet
* New method for all inference : evidenceImpact
* New method for `BayesNet` : `minimalCondSet`
* New method for all inference : `evidenceImpact`
* Potential has a (single) value even if no dimension.
* Bug fix for lazyPropagation
* Bug fix for `LazyPropagation`
* Typos for Visual C++ compiler
* Many internal changes
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* aGrUM
* Fix GCC compilation
* ParamEstimator::setMaxThread new method
* `ParamEstimator::setMaxThread` new method
* pyAgrum
* VariableElimination and ShaferShenoy inference
* new addJointTarget and jointPosterior methods for exact inference
* pyAgrum.getPosterior now uses VariableElimination
* `VariableElimination` and `ShaferShenoy` inference
* new `addJointTarget` and `jointPosterior` methods for exact inference
* `pyAgrum.getPosterior` now uses `VariableElimination`
* Fix pyAgrum.lib.notebook error for python2
* pyAgrum now linked with static library aGrUM
* pyAgrum.so (linux) size significantly reduced
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