pycaML

Name	pycaML JSON
Version	0.3.2 JSON
	download
home_page	https://github.com/reese3222/pycaML
Summary	Python Comparative Analysis for Machine Learning
upload_time	2022-12-12 16:32:08
maintainer
docs_url	None
author	Donato Riccio
requires_python	>=3.7, <4
license
keywords	machine learning optimization stacking
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            pycaML is an easy machine learning model comparison tool with optimization. It allows to generate a table comparing multiple machine learning models, to see which one is best for your data. The unique feature of pycaML is built-in hyperparameters tuning using Bayesian Optimization. It also supports meta-models like Stacking and Voting ensembles. You can setup and optimize 25 models with one line of code.


            

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