Release v1.3.1

This release (v1.3.1) introduces the new Tangos model to the Mambular library, along with updates to the documentation, versioning, and configuration files. The most important changes include adding the Tangos model, updating the version number, and modifying the lightning_wrapper.py and pretraining.py files to use the new model.

New Model Addition:

• mambular/base_models/tangos.py: Added the Tangos model, which is an MLP model with optional GLU activation, batch normalization, layer normalization, and dropout, including a penalty term for specialization and orthogonality.
• mambular/base_models/__init__.py: Included the Tangos model in the module imports and __all__ list.
• mambular/configs/tangos_config.py: Added configuration class for the Tangos model with predefined hyperparameters.

Documentation Updates:

• README.md: Updated to include the new Tangos model in the list of new models and added a description of the model. [1] [2]

Version Update:

• mambular/__version__.py: Incremented the version number from 1.3.0 to 1.3.1 to reflect the new changes.

Code Refactoring:

• mambular/base_models/utils/lightning_wrapper.py: Replaced instances of base_model with estimator to accommodate the new Tangos model. [1] [2] [3] [4] [5] [6] [7] [8] [9]
• mambular/base_models/utils/pretraining.py: Replaced instances of base_model with estimator to reflect the new model structure. [1] [2] [3] [4]

Configuration Updates:

• mambular/configs/__init__.py: Added DefaultTangosConfig to the module imports and __all__ list.
• mambular/models/__init__.py: Included TangosClassifier, TangosLSS, and TangosRegressor in the module imports and __all__ list.