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Deep learning for NeuroImaging in Python.

Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the gallery for the big picture.

nidl.metrics._regression._find_matching_floating_dtype(*arrays)[source]ΒΆ

Find a suitable floating point dtype when computing with arrays.

If any of the arrays are floating point, return the dtype with the highest precision by following official type promotion rules:

https://data-apis.org/array-api/latest/API_specification/type_promotion.html

If there are no floating point input arrays (all integral inputs for instance), return the default floating point dtype for the namespace.

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