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LBFGS and OWL-QN optimization algorithms

Project description

PyLBFGS

https://travis-ci.org/dedupeio/pylbfgs.svg?branch=master

This is a Python wrapper around Naoaki Okazaki (chokkan)’s liblbfgs library of quasi-Newton optimization routines (limited memory BFGS and OWL-QN).

This package aims to provide a cleaner interface to the LBFGS algorithm than is currently available in SciPy, and to provide the OWL-QN algorithm to Python users.

Installing

Type:

pip install pylbfgs

Hacking

Type:

pip install "pip>=10"
pip install -r requirements.txt
pip install -e .

To run the test suite:

pytest tests

Authors

PyLBFGS was written by Lars Buitinck.

Alexis Mignon submitted a patch for error handling.

Project details


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This version
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0.2.0.11

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0.2.0.10

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0.2.0.9

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0.2.0.8

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0.2.0.6

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0.2.0.5

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0.2.0.4

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0.2.0.3

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0.2.0.2

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0.2.0.1

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0.1.13

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0.1.12

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0.1.11

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0.1.10

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0.1.9

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0.1.8

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0.1.7

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0.1.6

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0.1.5

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0.1.4

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0.1.3

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0.1.2

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0.1.1

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0.1

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PyLBFGS-0.2.0.11-cp27-cp27m-macosx_10_12_x86_64.whl (57.0 kB) Copy SHA256 hash SHA256 Wheel cp27 May 24, 2018
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PyLBFGS-0.2.0.11-cp27-cp27m-manylinux1_x86_64.whl (186.6 kB) Copy SHA256 hash SHA256 Wheel cp27 May 24, 2018
PyLBFGS-0.2.0.11-cp27-cp27mu-manylinux1_i686.whl (167.8 kB) Copy SHA256 hash SHA256 Wheel cp27 May 24, 2018
PyLBFGS-0.2.0.11-cp27-cp27mu-manylinux1_x86_64.whl (186.6 kB) Copy SHA256 hash SHA256 Wheel cp27 May 24, 2018
PyLBFGS-0.2.0.11-cp27-cp27m-win32.whl (42.7 kB) Copy SHA256 hash SHA256 Wheel cp27 May 24, 2018
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