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### Describe the feature request
python使用onnxRuntime进行压测时,使用的是GPU计算,但是CPU也会上升,GPU和CPU都打满后停止压测,GPU资源迅速释放,但是CPU资源一直满负荷。
### Describe scenario use case
如上所述,使用的onnx runtime版本是1.10.0
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All I want is to hide the cancerous notifications like "Did you mean to visit StupidShit", not to bang my head against the walls over the shrinkage!
ghost updated
6 years ago
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我记得GBDT里有shrinkage和subsample的过程啊 代码里只有列采样
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Hi - what do you mean in the below (found on your README) ?
> Ledoit-Wolf Estimator from [sklearn](https://scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html) use shrinka…
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For example, scientists may not care about the gradients, hence if they do not want to parse the gradient file/gradients from the lst, they can suppress that action.
flags could be the following:
…
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# Cleaned up list
## Shrinkage estimators
**Linear Shrinkage**
- [x] [Ledoit Wolf, 2004](http://www.ledoit.net/honey.pdf), generic LW estimators
- [x] [Schafer and Strimmer, 2005](http://strim…
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Contains clear explanations of the following:
- Bayesian analysis
- Micro-macro models
- Exploratory data analysis
- Predict (glm)
- Factor analysis with psych package
- Mixed models
- Fracti…
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Hi,
One of our SME ran sir-5.2.6 with the arguments shown below.
sir-5.2.6 run2.mod -samples=1000,1000,2000,2000 -resamples=100,250,1000,1000 -rplots=2 -clean=1 -dir=sir2
sir runs fine but th…
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Cura, IdeaMaker, SuperSlicer and Simplify3D (via global scale settings) all have this implemented.
Basically the percentage given would scale the model in the X and Y dimensions (preferably indepen…
tapir updated
3 months ago
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Hi,
Nice paper and thanks for sharing the scripts!
I am trying to use your code to transform (acosh, pearson, dino,...) a large dataset (~1M cells), but get out-of-memory error even with 1T memo…