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How does pytorch-TabNet handle missing-values #1

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phseidl opened this issue Mar 26, 2021 · 0 comments
Open

How does pytorch-TabNet handle missing-values #1

phseidl opened this issue Mar 26, 2021 · 0 comments

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@phseidl
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phseidl commented Mar 26, 2021

Is it possible to "skip" missing vales, or how does it natively handle those things: Important for our project because for a fingerprint-size of 2048, a lot of those will be zeros, and O(n²) due to the full attention won't be feasible / fit into RAM.
Also check what common sequence/tabular lengths are.
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