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### Feature request
I really appreciated https://docs.bentoml.com/en/latest/guides/testing.html#unit-tests. It would be helpful to include also docs on mocking the bentoml decorated API methods.
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smidm updated
1 month ago
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When using torch.hub to do monocular estimation, it got RuntimeError:
```
model = torch.hub.load('yvanyin/metric3d', 'metric3d_vit_giant2', pretrain=True)
File "/home/qizhong/miniconda3/envs/ga…
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The algorithm estimates how long a transaction must wait until it is accepted into a block. The estimation is based on its mempool popularity, gas fees, etc. In time, we will be able to analyze the hi…
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# Inference — Maximum-Likelihood Estimation | Yuan-Ru Lin
Hands-on for Maximum-Likelihood Estimation, with demonstration for confidence intervals.
[https://yuan-ru-lin.github.io/blog/inference-mle/]…
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Hello!
I am using the `aggte` function to aggregate a model, and I would like to grab the output through `tidy`.
That said, there seems to be a mismatch between the `tidy` output and actual re…
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- [ ] confidence intervals on estimates
- [ ] robust estimation methods
- [ ] consider adding interaction effect size or experiment vs. control effect size power analysis
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I'm using the Pose Estimation model for Android, I was wondering how I can get the confidence value from a body point?
I'm also using the iOS/CoreML model and it has a confidence value.
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Is there a way to estimate a confidence associate with a pixel-level depth prediction?
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```
The Bayesian Elo score estimation is great, but the estimation itself is
basically useless if we don't know its accuracy. For example, *losing* your
first couple matches can actually result in a…
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```
The Bayesian Elo score estimation is great, but the estimation itself is
basically useless if we don't know its accuracy. For example, *losing* your
first couple matches can actually result in a…