Track, store, visualize, analyze, and deploy machine learning models and related artifacts securely.
MLbox
Automate data preprocessing, select and tune models, deploy models, monitor performance efficiently.
MLBox is an automated machine learning library written in Python that facilitates fast data preprocessing, cleaning, formatting, and feature selection while detecting potential data leaks during analysis. It is designed for technical developers and data scientists who require robust tools to optimise hyper-parameters efficiently within their machine learning pipelines. The software supports distributed processing capabilities which allows teams to handle large datasets across multiple machines without manual intervention or complex scripting. Documentation guides users through installation and usage, though the provided
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