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- [x] np.random.seed is not recommended anymore
- [x] Instead we shuold create a random state object and use it methods
- [x] However, I don't think we will ever need to use np.random.seed. …
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Currently classification and regression over tabular data (extracted features) are supported through the `tabular-regression` and `tabular-classification` tasks. However in the [processor for these ta…
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https://mp.weixin.qq.com/s/hjCrfT1DXhdwS1M4tXL3Ew
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I have the following code:
```python
from pyod.models.knn import KNN
knn = KNN(metric="cosine").fit(df)
```
but I am getting the error in the issue title. What can be the problem and how do…
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In the paper, you say that for the 'SleepEEG -> Epilepsy' transfer you only fine-tune on 60 samples of the target data (Epilepsy). How many epochs? Is this really correct, given that the classifier ha…
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Here we can add the papers we find
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### pycaret version checks
- [X] I have checked that this issue has not already been reported [here](https://github.com/pycaret/pycaret/issues).
- [X] I have confirmed this bug exists on the [latest…
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**Short term:**
* [ ] Investigate cause of recent 1/2 hour regression (#2998 )
* [ ] Speed up top single GPU tests
* [ ] Speed up top Dask tests
**Longer term:**
* [ ] Support tests running…
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Slide 53 of LinearModel.pdf says that as p (# of params) increases, linear regression's MSE increases which is obvious (more noise). But I don't get the following:
1. Why KNN increases much more that…