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conda-forge.org : mljar-supervised
The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data, construct the machine learning models, and perform hyper-parameters tuning to find the best model trophy. It is no black-box as you can see exactly how the ML pipeline is constructed (with a detailed Markdown report for each ML model).
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Source
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purl: pkg:conda/mljar-supervised
Keywords: automated-machine-learning, automatic-machine-learning, automl, catboost, data-science, decision-tree, ensemble, feature-engineering, hyper-parameters, hyperparameter-optimization, lightgbm, machine-learning, mljar, models-tuning, neural-network, random-forest, scikit-learn, shap, tuning-algorithm, xgboost
License: MIT
Latest release: over 1 year ago
First release: almost 3 years ago
Stars: 2,520 on GitHub
Forks: 329 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 24 days ago