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.
[aisaratuners on PyPi](https://pypi.org/)
[aisaratuners documetation](https://github.com/aisara-hub/aisaratuners/blob/master/docs/user%20guide.md)
[AiSara Hyperparameter Tuning API](https://rapidapi.com/aisara-technology-aisara-technology-default/api/aisara-hyperparameter-tuning)
[AiSara Artificial Intelligence](https://www.aisara.ai/)
Change Log
1.0 (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
Built Distributions
Hashes for aisaratuners-1.0.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5de3a9d68c04b6f980098f871702b7444dc215f4b6f9e26db9fedc37b42b460a |
|
MD5 | cb74ac8c5c98d8278fd2236b51d339f6 |
|
BLAKE2b-256 | 823bb4116fdca91bc97fc6709f56fdd494a47749a82bf255ecb37efa42979851 |
Hashes for aisaratuners-1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 33b37251b3fe31b36857b349d134c37f7ff5b7d14f269360c4be7c233f6fd9dd |
|
MD5 | 2c99d333f981219a446ef592399d3a8a |
|
BLAKE2b-256 | d9a374d807d24226fac9a5d5c88d13b1251bbd06aaf40cd21585b8cc8d01e173 |