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Adding support for model explainability with transformer models. It should be provided via optional dependencies along with optional parameter. Following repos can be used -
https://github.com/hila…
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How can I explain my Recommender model. Is there any library or tool that supports explainability for Surprise movielens model?
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Automatically prepare datasets from user /item metadata and test interactions and relationships with synthetic data to provide better model explainabilty
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We are using TFRS-retrieval solution for our problem statement. Now we are looking for the model explainability part of TFRS-retrieval model. is there any way we can backtrack from the output and find…
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○ Time: 2 weeks
○ Tools Required: LIME, SHAP (within Azure AI Studio)
○ Steps:
1. Install and configure explainability tools (LIME and SHAP) in the Azure environment.
2. Apply these to…
zepor updated
3 months ago
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For Final version (commit: https://github.com/Marijkevandesteene/MachineLearning/commit/f2b9feba83d2c51d6092343e4c30191b413604a5) some final thoughts / to do:
- [ ] generate html
- [ ] add csv w…
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# Chapter 1 Company and subscriptions
- [x] COMPLETATO
- What is a Company?
- Which info are required?
- How to add users in a Company?
- What is a subscription?
- What are the subscriptions feature…
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Running h2o.shap_explain_row_plot in a for loop causes the h2o connection to be severed after a certain number of iterations.
I'd like to be able to create local, row-level explanations for a larg…
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SHAP/ELI5/LIME/others?
Align with work done by Brody (industrial placement)
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(_This issue aims at capturing the discussion following the community presentation and the `kubeflow-discuss` mailing list [post](https://groups.google.com/g/kubeflow-discuss/c/Rd9o4OG8byQ)_)
On be…