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 (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.tar.gz
(9.6 kB
view details)
Built Distribution
File details
Details for the file aisaratuners-1.4.tar.gz
.
File metadata
- Download URL: aisaratuners-1.4.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 | 2aa211205ccc7202818f70f58ff0824301fc8b252d228ac61604d8c9f6336d2b |
|
MD5 | a4ecd9648bd853ee957408196cd58420 |
|
BLAKE2b-256 | e6cefa6ff77e7960edd6a7827aa06a227baaaab3baf32eb5003a4c71ad4f11ad |
File details
Details for the file aisaratuners-1.4-py3-none-any.whl
.
File metadata
- Download URL: aisaratuners-1.4-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 | d22d8a2129a559d7cf870ff67e24896ae7fb33cb4cf99c689439fc2aab22a983 |
|
MD5 | da5a110aa33be754b56b6987d16f01f0 |
|
BLAKE2b-256 | 60a9558b3a85c2e656e0d9cb9e9f57180ec6f50ef2cfb963d57ddfbf5d1df56c |