Archived
This project has been archived by its maintainers, and is no longer receiving any updates.
Estimate hyper-parameter search using evolutionary algorithms
Free software: MIT license
Installation
pip install auto-tune
Documentation
Development
To run the all tests run:
tox
Note, to combine the coverage data from all the tox environments run:
Windows |
set PYTEST_ADDOPTS=--cov-append tox |
|---|---|
Other |
PYTEST_ADDOPTS=--cov-append tox |
Changelog
0.0.1 (2017-09-01)
First release on PyPI.
1 maintainer
Metadata
1 maintainer
Release files for auto-tune 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| auto-tune-0.0.2.tar.gz | 11.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| auto_tune-0.0.2-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 17.6 kB
Release files / auto-tune-0.0.2.tar.gz
| Download URL | auto-tune-0.0.2.tar.gz |
|---|---|
| Size | 11.3 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / auto_tune-0.0.2-py2.py3-none-any.whl
| Download URL | auto_tune-0.0.2-py2.py3-none-any.whl |
|---|---|
| Size | 6.3 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
