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### 🐛 Describe the bug
Using MPS, torch.multinomial() always return [0], even when the probability is 0.
It works as expected on CPU:
```
import torch
In [1]: x = torch.tensor([0.5, 0.5], dty…
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the two modes in crf are join mode and marginal mode,but i am not clear about the marginal mode,and i use this mode to train the data, the result is almost same to the softmax, anyone can explain it?
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This is related to #82 but should be it’s own issue.
Currently we rely on users to use the model weights to create the appropriate mixture of predictive distributions. We should recommend (and dem…
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# Short Question Description
Is auto-sklearn ensemble for classification using predict_proba + threshold adaptions?
I read the original paper and read about the unique way auto-sklearn makes use o…
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related
- #3137
- #4543
- #3153
case to get started is exog are exogenous, i.e. no structural equation modelling
However, we want to impose zero (or linear) restriction on B in y = B x
dua…
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Some users of my app have been reporting issues with min/max temp not corresponding between hourly and daily
https://github.com/Akylas/oss-weather/issues/84
Looking at my code i see i simply uses …
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I am having a go at running inference and evaluation for this model, and running into a TypeError in `GPTLMHeadModel`:
```
In [1]: import torch
...: from transformers import AutoTokenizer
…
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Hello,
I am using SuSiEx and encountered the following output in a sample file:
| BP | SNP | PIP(CS1) | LogBF(CS1, Pop1) | LogBF(CS1, Pop2) |
|----------|---…
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I have a multi-class problem. I tried to calculate the ROC-AUC score using the function ```metrics.roc_auc_score()```. This function has support for multi-class but it needs the probability estimates,…
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The said crash doesn't exists in any Unvanquished hosted component but it affects Unvanquished project in the way it directly impacts the ability to edit Unvanquished game levels on M1 mac hardware. _…