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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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Release files for pycaML 0.3.2

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Table of built distributions (wheels) for pycaML 0.3.2
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pycaML-0.3.2-py3-none-any.whl Python 3 none any Details

Release files / pycaML-0.3.2-py3-none-any.whl

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0.3.2 This release

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0.0.2

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0.0.1

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