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Model identifiability pipeline using surrogate models trained on a latent space extracted by tensor decompositions.

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ICF-MI-framework

Pre-commit

All PR's to this repo must pass formatting and linting checks before they can be merged. To have these checks performed locally on your commits, run the following commands:

pip install pre-commit
pre-commit install

This will install the pre-commit hooks into your local git repo. Now, when you commit, the hooks will be run and any errors will be reported. To manually run the checks, you can run:

pre-commit run --all-files

Running the pre-commit hooks might modify the staged files. Run the diff command to check the changes made after which the file needs to be staged again and commited.

Documentation (For dev)

This repository use Sphinx for documenting the code. To install sphinx and the necessary requirements run,

./scripts/configure_sphinx.sh

To document your function use the following docsting,

    """Summary line.

    Extended description of function.

    Note:
        Do not include the `self` parameter in the ``Args`` section.

    Args:
        arg1 (float): Description of arg1
        arg2 (float): Description of arg2

    Returns:
        (float): Sum of arg1 and arg2

    """

Now, to update the documentation run,

./scripts/create_documentation.sh

from the ROOT of the project. If everything works perfectly, a a firefox window will pop-up with the documentation. Please verify that the desired documentation has been made.

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Model identifiability pipeline using surrogate models trained on a latent space extracted by tensor decompositions.

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