[feat] add padding/truncation as data modification

nf-core / deepmodeloptim

Stochastic Testing and Input Manipulation for Unbiased Learning Systems

https://nf-co.re/deepmodeloptim

MIT License

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[feat] add padding/truncation as data modification #128

Closed luisas closed 1 month ago

luisas commented 6 months ago

As in many cases the length of the input sequence has to be fix, one can provide the user to have a fix length by using padding ( or truncating the sequences to the smallest one? or we can think what we may offer here)

mathysgrapotte commented 1 month ago

cf stimulus-py