leveraging aisara algorithm for effective hyperparameter tuning

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Project description

aisaratuners is a hyperparameter tuning library that can be used with different machine learning and deep learning python packages. It leverages AiSara algorithm, Latin hypercube sampling, and the concept of search space reduction for fast reach of the optimum hyperparameters combination.

Currently available for Keras, scikit-learn and PyTorch will be added in the coming versions

Documentation

Video Description

Medium Article

AiSara Hyperparameter Tuning API

AiSara Artificial Intelligence

Change Log

1.4.6 (19/11/2020)

First Release

Project details

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Homepage

Release history Release notifications | RSS feed

1.5.2

Jan 20, 2022

1.5.1

Jan 20, 2022

1.5.0

Jan 20, 2022

1.4.9

Mar 17, 2021

1.4.8

Dec 22, 2020

1.4.7

Dec 21, 2020

This version

1.4.6

Dec 21, 2020

1.4.5

Dec 16, 2020

1.4.4

Dec 13, 2020

1.4.3

Dec 8, 2020

1.4.2

Nov 25, 2020

1.4.1

Nov 20, 2020

1.4

Nov 20, 2020

1.3

Nov 20, 2020

1.2

Nov 20, 2020

1.1

Nov 20, 2020

1.0

Nov 20, 2020

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Download URL: aisaratuners-1.4.6-py3-none-any.whl
Upload date: Dec 21, 2020
Size: 10.7 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

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