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We could use an LLM agent for fetching the story and polish it, at least would be interesting to know how well it could behave in comparison with our current approach
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Gradually thinking some renaming of functions, files, classes will help make the material more accessible. For example:
Variables and functions:
- [ ] `height` -> `individual_size` (#223)
- [x]…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussi…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
Trai…
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- [ ] [jennhu/metalinguistic-prompting: Materials for "Prompting is not a substitute for probability measurements in large language models" (EMNLP 2023)](https://github.com/jennhu/metalinguistic-promp…
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Thank you for releasing the data and code for reference. I learned from your code and write my own code to run inference on single image. I used your well-trained model for multi-lable multi-disease c…
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Currently, the h2o.stackedensemble() function uses the predicted probabilities returned by base models as inputs to build the meta learner; however, when both the base models and meta learner are logi…
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VBA_displayGroupBMC shows the exceedance probability of all models in the lower right panel.
Shouldn't it rather display the protected exceedance probability, when available?
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We currently have an example notebook: https://pgmpy.org/examples/Creating%20a%20Discrete%20Bayesian%20Network.html for creating discrete Bayesian networks but not for Linear Gaussian BNs. Write a sim…
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### Issue Description
I'm struggling with some inconsistencies between different tree based models when passing `'probability'` vs `'predict_proba'` as the `model_output` to a shap `TreeExplainer`.…