Inferlo

New in this release:
* MAP linear programming relaxation for pairwise and normal factor graph models (15).
* Sherali-Adams and Lasserre hierarchies (16).
* Bucket renormalization (19).
* Marginal probabilities in Bucket Elimination algorithms (23).
* Binary Tree Elimination (24).
* Backwards Bucket Elimination (27).

New in this release:

* Edge elimination algorithm for Forney-style model (3).
* Algorihtm for max likelihood for pairwise model using dunamic programming on path graph (4).
* Junction tree algorithms (5).
* Linear programming relaxation for pairise model (using CVXPY).
* Integration with libDAI (9).
* Loopy belief propagation algorithm (10).
* Support for Gaussian graphical models.
* Gaussian belief propagation algorithm (13).

* Added efficient DFS algorithm.
* Optimized several algorithms.
* Organized ans exported documentation.

First InferLO release.

This is an initial development release.
Library contains basic object model and several simple algorithms for pairwise finite model: inference (tree DP, path DP, mean field, message passing), max likelihood (tree DP), sampling (tree DP).
Also contains conversion algorithm from generic GM to Normal Factor Graph model.

API can and will change.