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.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file POAP-0.1.6.tar.gz.
File metadata
- Download URL: POAP-0.1.6.tar.gz
- Upload date:
- Size: 17.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dc1c4fbb06d79ec8e5e04db8b1207d0aee85768cc2007708b5ba7033a1e41d28
|
|
| MD5 |
5d6d858cdc8715a120449d5e573db376
|
|
| BLAKE2b-256 |
555e8222122dfd1214652fed14d49b8dbfcb87919c4584f199a683f5ee04cf8c
|
File details
Details for the file POAP-0.1.6-py2.py3-none-any.whl.
File metadata
- Download URL: POAP-0.1.6-py2.py3-none-any.whl
- Upload date:
- Size: 22.8 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
41dc8280207bbdac61f1e679424e4bf38198344b0451c78528b0018fffc3e9aa
|
|
| MD5 |
480fa5ad0687a9b152bffd8149a6be91
|
|
| BLAKE2b-256 |
61fcb0fe19e45f3dea5f9c3cdf1a4e21fa494357c57f7a18a3294fc215c3da3b
|
