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.
Release files for metahyper 0.5.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| metahyper-0.5.6.tar.gz | 12.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| metahyper-0.5.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.9 kB
Release files / metahyper-0.5.6.tar.gz
| Download URL | metahyper-0.5.6.tar.gz |
|---|---|
| Size | 12.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.13 CPython/3.10.4 Linux/5.15.0-40-generic
|
Release files / metahyper-0.5.6-py3-none-any.whl
| Download URL | metahyper-0.5.6-py3-none-any.whl |
|---|---|
| Size | 11.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.13 CPython/3.10.4 Linux/5.15.0-40-generic
|
