mljar/mljar-supervised
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Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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Activity25
Community25
Maintenance14
Popularity25
#automated-machine-learning#automl#automl-api#automl-python#catboost#data-science#decision-tree#ensemble#feature-engineering#hyper-parameters#hyperparameter-optimization#lightgbm#machine-learning#mljar#neural-network#random-forest#scikit-learn#xgboost
Should you contribute to mljar/mljar-supervised?
mljar/mljar-supervised has a FoundDev health score of 89/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.
Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.
Licensed under MIT, a standard OSI-approved license — safe to contribute to under normal employer IP policies.
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