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Get Started with mlens

High performance ensemble learning library integrated with scikit-learn.

Getting Started

The mlens team maintains comprehensive docs that cover installation, configuration, and common patterns.

Visit the mlens website to create your account and explore pricing options.

Our full tool profile covers mlens's strengths, weaknesses, pricing, and how it compares to alternatives.

Data scientists who need to build efficient and accurate ensemble models using scikit-learn

Teams working on large datasets where memory efficiency is critical

Projects requiring high-performance parallelized machine learning pipelines