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-0.5.4.tar.gz
(12.1 kB
view hashes)
Built Distribution
metahyper-0.5.4-py3-none-any.whl
(11.0 kB
view hashes)
Close
Hashes for metahyper-0.5.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6f209c7094052c52f66db815fd1dc29c8f403d330226b0e427ab46238665b957 |
|
MD5 | 2b5ed3f240c54d7072b58ea6e1243b0d |
|
BLAKE2b-256 | 90cc0ddecb44410979022a26a0d64b99f0a6b96f875afde115e3a196287758eb |