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"We used 5-fold cross validation in our paper..."
Could you tell me where (in the code) you are using 5-fold cross validation?
latoa updated
3 years ago
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Use cross-validation for optimizing hyperparameters as well.
scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html
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It's like double-entry bookkeeping, but for descriptors!
Presently, we have the `GetReferencedDescIDs` on `catalog.Descriptor` which returns the a set of descriptor IDs which includes all forward-r…
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**Is your feature request related to a problem? Please describe.**
when i set the cross_validation parameter to false why do i get the test score and not the training score , ideally i should be gett…
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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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At the moment cross-validation requires indexing an array (or sparse matrix or dataframe) in a way that copies the selected subset of the data. If memory is an issue relative to computation (particula…
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Within this issue I would like to track different MDF implementations (i.e. libraries using MDF). Given a list of implementations we should seriously think about doing cross validations.
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Apply cross validation(k-fold) methods in each classifier for better result.
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Hi,
I'm trying to tune six forecasts using a parameter grid (with a total of ~100 combinations) in a straightforward for loop. I'm using the parallel processing option while cross validating, but …