Hi,
I am looking at scikit as an app for prototyping a Python module that
exposes an array-like object I am developing. I was going through the
Cython files and see that a lot of places, the raw data buffer of numpy are
accessed by accessing the c-field (i.e. "data" field) exposed through the
cython/numpy interface. I am a relative newbie to cython, but from my
understanding using typed memoryview (
http://docs.cython.org/src/userguide/memoryviews.html#memoryview-objects-and-cython-arrays)
is the recommended way of accessing data in an array object. I was
wondering if this was done due to legacy reasons, or performance reasons?
For me to evaluate my array object interface, I am thinking of changing
scikit to use the typed memoryview. If there is interest in this, I can
push this change to scikit. Any comments about why this would not be a good
idea are deeply appreciated.
Thanks,
--
Mahesh
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