Tangos #243
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Tangos #243
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Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.5 to 3.1.6. - [Release notes](https://github.com/pallets/jinja/releases) - [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst) - [Commits](pallets/jinja@3.1.5...3.1.6) --- updated-dependencies: - dependency-name: jinja2 dependency-type: indirect ... Signed-off-by: dependabot[bot] <support@github.com>
Update to version 1.3.0
Bump jinja2 from 3.1.5 to 3.1.6
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This pull request introduces the new
Tangosmodel to the Mambular library, along with updates to the documentation, versioning, and configuration files. The most important changes include adding theTangosmodel, updating the version number, and modifying thelightning_wrapper.pyandpretraining.pyfiles to use the new model.New Model Addition:
mambular/base_models/tangos.py: Added theTangosmodel, 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 theTangosmodel in the module imports and__all__list.mambular/configs/tangos_config.py: Added configuration class for theTangosmodel with predefined hyperparameters.Documentation Updates:
README.md: Updated to include the newTangosmodel 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 ofbase_modelwithestimatorto accommodate the newTangosmodel. [1] [2] [3] [4] [5] [6] [7] [8] [9]mambular/base_models/utils/pretraining.py: Replaced instances ofbase_modelwithestimatorto reflect the new model structure. [1] [2] [3] [4]Configuration Updates:
mambular/configs/__init__.py: AddedDefaultTangosConfigto the module imports and__all__list.mambular/models/__init__.py: IncludedTangosClassifier,TangosLSS, andTangosRegressorin the module imports and__all__list.