Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.

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MI_AG

Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. The corresponding paper is coming soon...

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0.9.5.9

Oct 31, 2022

0.9.5

Oct 30, 2022

0.9.3.3

Aug 9, 2022

0.9.3.2

Aug 7, 2022

0.9.3.1

Aug 6, 2022

0.9.3

Aug 6, 2022

0.9.2

Aug 3, 2022

0.9.1

Jul 27, 2022

0.9.0

Jul 23, 2022

0.6.20

Jul 21, 2022

0.6.16

Jul 21, 2022

0.6.12

Jul 20, 2022

0.6.9

Jul 20, 2022

0.6.6

Jul 20, 2022

This version

0.6.3

Jul 20, 2022

0.2.5

Jul 18, 2022

0.2.3

Jul 16, 2022

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MI_AG-0.6.3.tar.gz (46.2 kB view hashes)

Uploaded Jul 20, 2022 Source

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MI_AG-0.6.3-py3-none-any.whl (34.2 kB view hashes)

Uploaded Jul 20, 2022 Python 3

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