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 hashes)
Built Distribution
aisaratuners-1.4-py3-none-any.whl
(10.4 kB
view hashes)
Close
Hashes for aisaratuners-1.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d22d8a2129a559d7cf870ff67e24896ae7fb33cb4cf99c689439fc2aab22a983 |
|
MD5 | da5a110aa33be754b56b6987d16f01f0 |
|
BLAKE2b-256 | 60a9558b3a85c2e656e0d9cb9e9f57180ec6f50ef2cfb963d57ddfbf5d1df56c |