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## Environment
Anaconda virtual python environment with TF 2.6.0 installed.
```
$ conda list | grep tensorflow
tensorflow 2.6.0 py38h1abaa86_1 conda-forge
tensorf…
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I would love to able able to get feature importance when modeling with multiple features.
Is there something like SHAP or LIME?
I know there is a possibility to get this information in for exampl…
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- [x] Logistic regression
- [ ] Naive bayes
- [ ] Explainable boosting machines: https://interpret.ml/docs/ebm.html
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Currently using these github tags:
ASR: speech-recognition, text-to-speech
Explainability: explainable-ai, interpretable-ai, explainable-ml, interpretable-ml, xai, explainability, interpretability…
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For ease of development it would be helpful to have a Python script or notebook that implements a basic workflow that we would like to further develop. Let's start in this issue with listing the steps…
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### Bug description
As the title said, the loss values are different when resuming from ckpt vs training without interruption.
First, run the code below without interruption.
Second, run the c…
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Name: Harshita Badwal
Project Assigned: InterpretML
Important links:
WEBSITE:
https://interpret.ml/
GITHUB:
https://github.com/interpretml/interpret/
README PAGE:
https://github.com/interpre…
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lab URL: https://www.cloudskillsboost.google/course_sessions/2920306/labs/381985
So I got to the point where we define `train_and_evaluate` (8th code cell), and then execute it (9th code cell). The…
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Hi,
I will like to propose adding our last paper along with several other resources
> Mougan, C. and Nielsen, D. S. (2023). Monitoring model deterioration with explainable uncertainty estimation…
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**System information**
- Have I specified the code to reproduce the issue (Yes, No):
- Environment in which the code is executed (e.g., Local(Linux/MacOS/Windows),
Interactive Notebook, Google …