Skip to main content

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aisaratuners-1.0.tar.gz (9.7 kB view hashes)

Uploaded Source

Built Distributions

aisaratuners-1.0.0-py3-none-any.whl (10.4 kB view hashes)

Uploaded Python 3

aisaratuners-1.0-py3-none-any.whl (10.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page