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Great package.
Is the package suitable for very big datasets? I am talking about the datasets of dimension (1.000.000x300)?
I have just tried this code:
```
mod1
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Dear Lin,
thanks for providing this useful toolbox. I'm trying to use it to publish a paper, here I met some problem from the reviewer. He suggested me to use the nested cross-validation.
Here I li…
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Hi!
I'm facing **RuntimeError: One or more background workers are no longer alive. Exiting. Please check the print statements above for the actual error message.** when trying to run training.
To tr…
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hi @asolin @wil-j-wil !!
Really interested in the models and i am trying to set up the models on the new dataset.
can you please just review the below to see if what I'm doing makes sense.
``…
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### Describe the workflow you want to enable
What roughly happens in cross-validation as of now:
```
# k-fold cross validation
scores = list()
kfold = KFold(n_splits=10, shuffle=True)
# e…
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#### Summary:
There appears to be a problem with using `kfold` on stan_surv models. Error returned is: `Error: passing unknown arguments: subset.`
#### Description:
I'm fitting multi-level surviv…
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# 本日の勉強会
- 2020/10/03 19:00-20:40
- p7-
- 参加者:井伊さん、Pekoさん、kawadaさん、柿ピー
- 発表者:井伊さん
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Things I liked:
- Spent a lot of effort in understanding the feature and selecting features that are essential to the problem. I also appreciate the fact that you listed out all the transformation yo…
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There seems something wrong with the K-fold cross-validation part.
Only one model weight file is saved and those from different folds are discarded. Also I doubt that the results printed are resul…
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There is a recent paper entitled "Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection" (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140774/) that attempt to address…