Numpy NdArray Memoization

Question

I'm working on some fairly computational intensive calculations that deal with numpy matrices and ndarrays, and from some digging around, there are about a dozen ways not to implement memoization, generally full of collisions, and issues with ndarrays being mutable objects.

Has anyone come across a fairly general memoisation decorator that can handle numpy objects?

keepAlive · Accepted Answer · 2021-08-11 20:43:46Z

9

How about this package:

~~http://packages.python.org/joblib/memory.html~~

2021 update https://joblib.readthedocs.io/en/latest/generated/joblib.Memory.html

edited Aug 11, 2021 at 20:43

keepAlive

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answered Mar 19, 2011 at 15:02

JoshAdel

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1 Comment

endolith Over a year ago

Could you elaborate a bit instead of just posting a link? meta.stackexchange.com/a/8259/130885

luispedro · Accepted Answer · 2011-09-09 14:12:44Z

1

An alternative is my package jug:

http://packages.python.org/Jug

It is similar to joblib, but with a slightly different approach.

edited Sep 9, 2011 at 14:12

answered Mar 28, 2011 at 18:56

luispedro

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