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Project Description

POAP: Plumbing for Optimization with Asynchronous Parallelism

POAP provides an event-driven framework for building and combining asynchronous optimization strategies. A typical optimization code written with POAP might look like:

from poap.strategy import FixedSampleStrategy
from poap.strategy import CheckWorkStrategy
from poap.controller import ThreadController
from poap.controller import BasicWorkerThread

# samples = list of sample points ...

controller = ThreadController()
sampler = FixedSampleStrategy(samples)
controller.strategy = CheckWorkerStrategy(controller, sampler)

for i in range(NUM_WORKERS):
    t = BasicWorkerThread(controller, objective)
    controller.launch_worker(t)

result = controller.run()
print 'Best result: {0} at {1}'.format(result.value, result.params)

The basic ingredients are a controller capable of asking workers to run function evaluations and a strategy for choosing where to sample. The strategies send the controller proposed actions, which the controller then accepts or rejects; the controller, in turn, informs the strategies of relevant events through callback functions.

Most users will probably want to provide their own strategies, controllers, or both.

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Release History

Release History

0.1.26

This version

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0.1.25

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0.1.24

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0.1.18

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0.1.17

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0.1.16

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0.1.15

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0.1.14

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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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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
POAP-0.1.26-py2.py3-none-any.whl (36.4 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Feb 22, 2017
POAP-0.1.26.tar.gz (28.3 kB) Copy SHA256 Checksum SHA256 Source Feb 22, 2017

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