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Toolbox for analysis of model's quality and model's description. For further details see

Home Page: https://towardsdatascience.com/pytolemaic-package-for-model-quality-analysis-2b7bea751cfd

License: Other

Python 100.00%
sensitivity lime-explanation feature-sensitivity quality sensitivity-analysis explainable-ai explainable-ml explainability quality-control ai

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pytolemaic's Issues

Loosen requirement versions

When using setup.py, it is definitely not appropriate to tightly pin requirement versions. They must then be loosely pinned if at all. Please review https://packaging.python.org/discussions/install-requires-vs-requirements/#install-requires

it’s best practice to indicate any known lower or upper bounds

It is not considered best practice to use install_requires to pin dependencies to specific versions, or to specify sub-dependencies (i.e. dependencies of your dependencies). This is overly-restrictive, and prevents the user from gaining the benefit of dependency upgrades.

I advise updating requirements.txt to loosely pin its entries as advised in the above article. I see that requirements.txt is used by install_requires in setup.py.

Logging Issue

Hi,

The logger in https://github.com/Broundal/Pytolemaic/blob/master/pytolemaic/utils/general.py is causing issues; it really should be up to the user what and how the logging is done etc, I know could use a LOGLEVEL env var but thats not really how these things work; the logger should be created in the .py file that actually runs the code and not a package that provides functionality.

Big fan aside from this but please amend as makes this whole unusable for me otherwise!

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