BAMT 1.2.1

Hello everyone!
New release of BAMT is ready.

Dependencies

Issues with pomegranate and pyitlib

New BAMT version is more stable, because we have get rid of pomegranate and (as a package) of pyitlib.
It seems, these libraries can't stay more in our dependencies, they just don't work as expected.

Code

Style

We are (almost) constantly monitoring modern code styles. So, to follow trends, from the moment of this release we will be using black style .

Code structure

Code analysis reveals us that our code grows and eventually become too complicated, so we have decomposed some modules: nodes and builders.

Serialization

Integrated serialization makes BAMT's methods too slow (especially bn.predict). So, serialization stuff was separated, and now it is used only in load and save methods.

Import statements

We have returned to our previous networks call:
import bamt.networks instead of from bamt.networks.hybrid_bn import HybridBN.

Features

Composite networks and evolutionary optimization

Now you can train a composite networks with BAMT thereby golem integration. Also now available evolutionary optimization for structural learning of BN.
Additional info is located in documentation.

Filling gaps feature

You can fill gaps in your dataset with corresponding method of network.

Get distributions feature

Now you can extract distribution parameters (either conditional or marginal (in case with nodes without parents)) from node. This feature allows you to analyse how distribution inside a node is changed with different parents' values.

Documentation

New examples in documentation with use cases

Now the documentation includes examples of the applied use of Bayesian networks for gap filling tasks and generating synthetic training data.

We highly appreciate our users and want to thank you for your contributions (even if they are in the form of issues), so we have taken your issues and fixed them to make our library more comfortable and userfriendly. It seems that our documentation is outdated, so we updated it!

v0.1.0

Hello everyone!

This is the first official release of the BAMT library, it is completely ready to use and includes many new changes:

• A new library architecture has been created, including two levels of abstractions - Network and Node
• Added the ability to create networks of different types - Discrete, Continuous and Hybrid
• Fixed bugs of automatic recognition of node types
• Added the ability to assign different classifiers for training discrete nodes
• Added logging
• Fixed bugs with visualization of graphs
• Added tutorials in the "tutorials" folder with examples of using the library functionality

Special thanks to @Roman223 for developing the new library architecture.