Hi everyone,
For those familiar with this function in sklearn/utils/validation.py, I was
wondering why sparse matrices are passed through silently without
respecting the `dtype` or `order` arguments. I can understand why one
would want to ignore `order` due to how sparse matrices are designed, but
`dtype` is an argument for all sparse matrix constructors. Why is this
ignored?
On a secondary note, I was wondering if there was any simple, quick way to
check if an array's contents can be converted to float.
Thanks,
Daniel Duckworth
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