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It's impossible to cover everything, but here are a couple of libraries I'm leaning towards integrating into the materials:
SHAP: https://shap.readthedocs.io/en/latest/: This will help give more attention to the tabular data folks. We could practice calculating shapley values and try out the shap.TreeExplainer.
InterpretML: https://interpret.ml/docs/index.html: This library has some intriguing functions that could speed up certain interpretable ML workflows.
Feel free to comment on this issue with other suggestions.
The text was updated successfully, but these errors were encountered:
It's impossible to cover everything, but here are a couple of libraries I'm leaning towards integrating into the materials:
SHAP: https://shap.readthedocs.io/en/latest/: This will help give more attention to the tabular data folks. We could practice calculating shapley values and try out the shap.TreeExplainer.
InterpretML: https://interpret.ml/docs/index.html: This library has some intriguing functions that could speed up certain interpretable ML workflows.
Feel free to comment on this issue with other suggestions.
The text was updated successfully, but these errors were encountered: