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I am running estimate_performance() function on sparse data and am curious about how the mask_items keyword argument works.
estimate_performance()
mask_items
From docstrings n_mask_items (int/float, optional): how much randomly sparsify dense data each iteration; Defaults to masking out 20% of observed
n_mask_items (int/float, optional): how much randomly sparsify dense data each iteration; Defaults to masking out 20% of observed
This keyword makes sense for dense data, but how does it work with sparse data? is it ignored?
The text was updated successfully, but these errors were encountered:
Yup it's ignored. Can clarify this in the documentation
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Fixes #34, #36
d8c393a
ejolly
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I am running
estimate_performance()
function on sparse data and am curious about how themask_items
keyword argument works.From docstrings
n_mask_items (int/float, optional): how much randomly sparsify dense data each iteration; Defaults to masking out 20% of observed
This keyword makes sense for dense data, but how does it work with sparse data? is it ignored?
The text was updated successfully, but these errors were encountered: