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
1.4.1 (19/11/2020)
- First Release
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-1.4.1.tar.gz
(9.6 kB
view details)
Built Distribution
File details
Details for the file aisaratuners-1.4.1.tar.gz.
File metadata
- Download URL: aisaratuners-1.4.1.tar.gz
- Upload date:
- Size: 9.6 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 | 6f00b849dea81e188f16f6c25dcdf7ba014b636562afb7371d5ef2cc0c29f584 |
|
| MD5 | cdd10e4fd7f756b0f1d2a8ce0f403f61 |
|
| BLAKE2b-256 | 8223fb6d975fc75582eaa9643ff72f67f7bf1c7225151c9f01e085c305db167c |
File details
Details for the file aisaratuners-1.4.1-py3-none-any.whl.
File metadata
- Download URL: aisaratuners-1.4.1-py3-none-any.whl
- Upload date:
- Size: 10.4 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 | ad8fef9809111569991c13a81b34aa78f41363ef68ad5683cc8eb61527d30b04 |
|
| MD5 | 53ff03bb3e1af47cd291d4ff4e32fb40 |
|
| BLAKE2b-256 | c34169c46cd0e48482fc15ce5598296b5fae8e5625dee07c4987711b1c244504 |
