leveraging aisara algorithm for effective hyperparameter tuning
Project description
aisaratuners is a hyperparameter tuning library that can be used with different machine learning and deep learning python packages including scikit-learn, PyTorch and keras. aisaratuners leverages AiSara algorithm, Latin hypercube sampling, and the concept of search space reduction for fast reach of the optimum hyperparameters combination.
Change Log
1.4.2 (19/11/2020)
- First Release
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
aisaratuners-1.4.2.tar.gz
(9.7 kB
view details)
Built Distribution
File details
Details for the file aisaratuners-1.4.2.tar.gz
.
File metadata
- Download URL: aisaratuners-1.4.2.tar.gz
- Upload date:
- Size: 9.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 40635b93e78fc46e4b78fbc8c660549a7cecac50501c072f175546567359036c |
|
MD5 | 09ee24852064ae163671be6e19979d16 |
|
BLAKE2b-256 | 004dc6dab30acfa87718bd48435668f2036adacd31934fdf0c5ad6b4774b0db9 |
File details
Details for the file aisaratuners-1.4.2-py3-none-any.whl
.
File metadata
- Download URL: aisaratuners-1.4.2-py3-none-any.whl
- Upload date:
- Size: 10.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5191be8a79f501f91956177b67c8d1e22274f75aa7a16aa8eebb13c7a4d6026a |
|
MD5 | 1f66c16d1961eafb49992f24c225c8a7 |
|
BLAKE2b-256 | f4adad035cb8c6f14f82ce004702ce4f8339709fa339aaa16797a034b761aad8 |