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We are simultaneously trying minimize SDK size and model size for the cascaded pose regression process. A well tuned gradient boosting regression may often outperform random forests, however, the nee…
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```
2024-08-19T19:59:51.9926736Z source/tests/universal/pt/model/test_model.py::TestPolarModelPT_(, )_(, )::test_zero_forward
2024-08-19T19:59:51.9930743Z /home/runner/work/deepmd-kit/deepmd-kit/s…
njzjz updated
2 weeks ago
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It would be really nice if Python tasks could support taking Optional type arguments and if they could return futures for scalars instead of just None.
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The model estimates 18 age classes. Of those, 0.1, 0.5, 1.5, 3.1, 3.4 are practically zero. In my experience, this tend to lead to model instability.
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**Is your feature request related to a problem? Please describe.**
sktime currently lacks built-in tools for model explainability, making it difficult for users to interpret and understand the pred…
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Analysis of real-time domestic consumer data and industrial electrical energy consumption data, providing valuable insights for decision-making & using mathematics, statistics, predicting report.
Con…
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https://github.com/user-attachments/assets/9770fee8-8fa6-4416-9a26-9e53f1f784ab
I think it should be in the process of noise reduction and convergence
![image](https://github.com/user-attachment…
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**Submitting author:** @Steriva (Stefano Riva)
**Repository:** https://github.com/ERMETE-Lab/ROSE-pyforce
**Branch with paper.md** (empty if default branch):
**Version:** v0.1.2
**Editor:** @Fei-Tao
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I encountered a problem in calculating the cross entropy loss_cls when reproducing the code:
` Expected object of scalar type Long but got scalar type Float for argument #2 ‘target``
My solution:
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```python
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