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**Describe the bug**
A clear and concise description of what the bug is.
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Hi!
I think I found a typo in the following video:
https://youtu.be/9W6o6eWGi-0?t=53s
The train indices are incorrect. I have highlighted in bold what I think is wrong:
[3 4 **4** 6 7 8 9 10 11] …
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I think that in the PNN.py when the k-fold cross-validation method is used, the network must be reinitialized for each cross-validation to create fresh w1 and w2.
The problem now is that the test sam…
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.mapo file
```
{"id":null,"name":"CS441 2.1 Classification","edges":[{"id":"b4f3d8d8-8f06-47d0-83a4-eafaef0…
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GPEP now has leave-one-out or k-fold cross validation for spatial regression. The ensemble estimation can also benefit from this ability.
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@Devanik21 i analyze the mining python file and see lots of abnormalities ,i would to work on it
there is list of problem s that i can solve
### Data Leakage:** Pre-trained models may have bee…
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Hi,
Currently, [`cross_validation`](https://github.com/aimacode/aima-python/blob/master/learning.py#L1061) function shuffles data before every step of k fold cross-validation [[here](https://github…
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refer to :
- pull request -> [K fold cross validation](https://github.com/allenai/allennlp/pull/2827)
- issue -> [K fold cross validation](https://github.com/allenai/allennlp/issues/1912)
so , h…
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Hi,
As advised in #187, I tried to call fit() multiple times to train a different model in each fold, but this leads to an out of GPU memory error, apparently the same as in #248. I am using the A…
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The implemented following code snippet for binary classification on tabular data, using stratified K-fold cross-validation (K=10). The performance results seem exceptionally good. Can someone help re…