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Hi I am encountering the error of
> 'DataPreprocessor' object has no attribute 'column_transformer'
and can't figure out how to solve it. I tried to go through the regression.py and comment the Da…
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Hello,
Can anyone please provide pointers / code sample on how to use SFS on lgb.train method?
Also I need to use fixed splits for CV for example something like:
[(array([1, 3, 5, 7, 9]), array…
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Excuse me
How to use cross validation?
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In order to perform appropriate model(s) selection, I'm performing KFOLD cross validation across 11 models and ***HistGradientBoostingClassifier*** is causing memory leak and freezes my machine :cryin…
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#### Summary:
Bug in the kfold function where it is unable to find a random effect predictor.
#### Description:
I've been playing around with fitting models in `rstanarm::stan_gamm4()`.The models…
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I am trying to compare "vanilla auto-sklearn" (metalearning configs=0, ensemble size=0) to the advances listed in the original sklearn arXiv paper (using both ensembles and metalearning) on my data. …
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## ❓ Questions and Help
Hey guys,
I'm trying to fine-tune a transformer model using the TPUs on colab. The model I'm using is Roberta, provided by huggingface trnsformers, with a custom head. I…
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I have a cuda9-docker with tensorflow and pytorch installed, I am doing cross validation on an image dataset. Currently I am using a for loop to do the cross validation. Something like
for data…
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Hi,
The code used for k-fold cross validation in all scripts seems buggy. Only the Validation set is correctly set in the loops, remaining Train and Test Sets have repeated data in 3 loops. Below is …
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When dealing with time series data it is important to not shuffle rows when performing cross-validation. Would be good to have that as an option.