Parallelisation and distribution framework for neural pipeline search algorithms.
Project description
Metahyper
Parallelisation and distribution framework for neural pipeline search algorithms.
Features:
- Asynchronous parallelization and distribution
- Fault tolerance for crashes and job time limits
- Agnostic to search space, objective functions, ...
Installation
Using pip
pip install metahyper
Usage
Please see our examples in metahyper_examples.
Contributing
Please see our guidelines and guides for contributors at CONTRIBUTING.md.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
metahyper-0.4.6.tar.gz
(10.6 kB
view details)
Built Distribution
File details
Details for the file metahyper-0.4.6.tar.gz
.
File metadata
- Download URL: metahyper-0.4.6.tar.gz
- Upload date:
- Size: 10.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.12 CPython/3.7.5 Linux/5.10.84-1-MANJARO
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7c5350d0f1ca7e6fefad0e0429439fe8e435b0594c418a07ebadc55016405844 |
|
MD5 | 32ab5377c98733649dfcc09523dcc71a |
|
BLAKE2b-256 | df011a800bd530e7e2ee7bbc9b6adc34680527e9b5fe6c56756d9b2ff8e727be |
File details
Details for the file metahyper-0.4.6-py3-none-any.whl
.
File metadata
- Download URL: metahyper-0.4.6-py3-none-any.whl
- Upload date:
- Size: 9.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.12 CPython/3.7.5 Linux/5.10.84-1-MANJARO
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 35c8ab7a28b523afcbc126c3b04ee0a5f17f2b20d87793157b16119922490f6f |
|
MD5 | 39542a953fd9a9f935be7e51cc8c6a2a |
|
BLAKE2b-256 | d9abf6813dde4c8c4f6afabe90390afd21a175599732d86d9eff492b98bd8a82 |