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is it possible to do k-fold cross validation?
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**Describe the bug**
**To Reproduce**
**Expected behavior**
tensorflow.python.framework.errors_impl.NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching …
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I would be thankful if you can help me with my questions:
I have a sequence tagger , as follows;
```
data_folder = '../data/'
columns = {0: 'text', 1: 'pos', 2: 'BIO'}
n=3
kf = KFold(n_sp…
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### Discussed in https://github.com/pycaret/pycaret/discussions/1772
Originally posted by **sulantha2006** October 27, 2021
Blending requires to use a percentage of the training data to train …
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**Is your documentation request related to a problem? Please describe.**
I found this picture of Mapie in your docs, which shows the workflow of Mapie. My question is: How big is this
calibration da…
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Hi @mikemahoney218 and @juliasilge,
Super excited for all of the great work @mikemahoney218 has been doing to boost `{rsample}` group sampling support.
I was thinking about this last night...it…
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Setting fix_imbalance=True doesn't appear to change anything. The training dataset after preprocessing is still imbalanced and classification metrics show very high accuracy results associated with gu…
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Is it possible to use k-fold for time series as skleanr uses ?
https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html
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In sklearn cross [validation function](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html#sklearn.model_selection.cross_validate), we can pass group paramete…