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.
python pip install pycaML
Check out the example notebook.
- Compare up to 25 different models with one line of code
- Hyperparameters tuning with built-in search spaces
- Stacking and Voting models support
- Automatic train-test split
- Built-in cross validation
- Saves every result in a nice .csv table
pycaML is in early development, in the future many features are planned to be added.
If you like the package, you can find me on LinkedIn.