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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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pycaML-0.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Release files / pycaML-0.3.2-py3-none-any.whl
| Download URL | pycaML-0.3.2-py3-none-any.whl |
|---|---|
| Size | 23.3 kB |
| Tags | Python 3 |
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