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This is a feature proposal to support automated out-of-sample validation of fitted models, across all the statistical templates.
For example, a user could fit a model using 2/3 of the available es…
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How to track the model performance on an eval set that is provided from outside and early stop the tree building based upon the result?
Currently there is the option of ```validation_fraction``` al…
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Hi,
I am wondering if there is an option to speed up the cross-validation. Although I have access to a HPC this still takes very long, which is (as I understand) due to the fact that each chain is bo…
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I want to use the CAMUS dataset on this project, but I have some problems:
I use the castor/vital/vital/data/camus/dataset_generator.py to generate the HDF5 file, but I got an error:
> (castor) de…
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Before filing an issue, please make sure to tick the following boxes.
- [x] Make sure your issue hasn't been filed already. Use GitHub search or manually check the [existing issues](https://github.…
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Hi Andy, I am new to Kaggle competition and found your scripts really helpful to learn those crazy ideals.
I have been reading the `withBagging-xgboost.py` and it seems the models in the bag are fitt…
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Hi!
I've read the papers about spearmint and i got to say that there seems to be a lot of good stuff in there.
However, I noticed that part of that stuff is not implemented in the current version. …
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There are many cases where an estimated covariance does not have good small sample properties.
We need some regularization methods (beyond what scikit-learn has)
One of the main tasks will be to prov…
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Specifications
- _pyimpspec_ version: 4.1.1
- Python version: 3.11.8
- OS: Windows
Description:
DRT calculations fail at certain lambda values producing the following error:
`new = pyimpspec.c…
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What should be our long term pattern for hyper parameter selection?
examples: lag selection in tsa models, penalty in penalized models.
tradeoff: clean, more "fool-proof" design versus computati…