xlearn ☆
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Description:
High performance, easy-to-use, and scalable machine learning package
Type: Formula  |  Tracked Since: Dec 28, 2025
Links: Homepage  |  formulae.brew.sh
Category: Ai ml
Tags: machine-learning ai data-science svm logistic-regression big-data
Install: brew install xlearn
About:
XLearn is a high-performance, easy-to-use, and scalable machine learning library designed for both linear models and deep learning. It offers a fast, efficient implementation of standard algorithms like logistic regression and SVMs, optimized for large-scale datasets. The tool provides a simple Python API similar to scikit-learn, making it accessible for rapid model development and deployment.
Key Features:
  • High-performance C++ backend with Python bindings
  • Supports standard ML algorithms (LR, SVM) and deep learning
  • Distributed training support for large-scale datasets
  • Simple, scikit-learn compatible API
Use Cases:
  • Large-scale classification and regression tasks
  • Training models on big data using distributed computing
  • Rapid prototyping of machine learning pipelines
Alternatives:
  • scikit-learn – Standard for general ML, but XLearn is often faster for large-scale linear models
  • TensorFlow/PyTorch – More flexible for complex deep learning, while XLearn focuses on efficiency for standard algorithms
Version History
Detected Version Rev Change Commit
Sep 25, 2025 12:46am 0 VERSION_BUMP 97ebe814
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