Hi,
I’ve saw in a post from last year about a batch generator for RDataframe. I’m wondering if this feature is available in the last root version.
If not, there is a practical way to get specific rows from a RDF given their indexes?
Thanks!
Hi,
I’ve saw in a post from last year about a batch generator for RDataframe. I’m wondering if this feature is available in the last root version.
If not, there is a practical way to get specific rows from a RDF given their indexes?
Thanks!
Dear Micael,
The RBatchGenerator is available in experimental mode in the ROOT releases of the 6.30 series. You can see an example usage here: ROOT: tutorials/tmva/RBatchGenerator_PyTorch.py File Reference
I hope this helps.
Cheers,
D
Thanks Danilo!!
Cheers
Micael
do you know if it’s possible to integrate this with StratifiedKFold? I want to create a cross-validation process with some folds and them train the models.
Thanks @Danilo!
I want something like this: sklearn.model_selection.StratifiedKFold — scikit-learn 1.4.1 documentation
I need to generate the folds and then use each fold to create the generator for training.
Thanks in advance,
Micael
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