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Python implementation of Friedman's Supersmoother

Project Description

This is an efficient implementation of Friedman’s SuperSmoother based in Python. It makes use of numpy for fast numerical computation.

For more information, see the github project page: http://github.com/jakevdp/supersmoother

Release history Release notifications

This version
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0.4

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0.3.2

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0.3.1

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0.3

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0.2.1

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0.2

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0.1.2

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0.1.1

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0.1

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Filename, size & hash SHA256 hash help File type Python version Upload date
supersmoother-0.4.tar.gz (233.8 kB) Copy SHA256 hash SHA256 Source None May 6, 2017

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