Melusine

What's Changed
Updates:

* Compatibility with python 3.7 and 3.8
* Optional dependencies (viz, transformers, all)
* Specify custom configurations with environment variable MELUSINE_CONFIG_DIR
* Use any number of JSON and YAML files for configurations (instead of just one config file)

Bug fix:

* Fixed bug when training transformers model without meta features

What's Changed
New features:

* Added a class ExchangeConnector to interact with an Exchange Mailbox
* Added new tutorial tutorial14_exchange_connector to demonstrate the usage of the ExchangeConnector class

Updates:

* Gensim upgrade ([4.0.0](https://github.com/RaRe-Technologies/gensim/releases))
* Propagate modifications stemming from the Gensim upgrade (code and tutorials)
* Package deployment : switch from Travis CI to Github actions

What's Changed
New features:

* Attentive Neural Networks are now available. 🎉 We propose you an original Transformer architecture as well as pre-trained BERT models (Camembert and Flaubert)
* Tutorial 13 will explain you how to get started with these models and attempt to compare them.
* Validation data can now be used to train models (See fit function from NeuralModel for usage)
* The activation function can now be modified to adapt to your needs (See NeuralModel init for usage)

What's Changed
New features

* An Ethics Guide is now available to evaluate AI projects, with guidelines and questionnaire. The questionnaire is based on criteria derived in particular from the work of the European Commission and grouped by categories.
* Melusine also offers an easy and nice dashboard app with StreamLit. The App contains exploratory dashboard on the email dataset and a more specific study on discrimination between the dataset and a neural model classification.