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linfa

Linfa offers a comprehensive set of tools designed to develop machine learning applications in Rust. Similar to the scicit-learn project in the Python ecosystem, it focuses on classical machine learning algorithms with common data preprocessing tasks. It supports supervised and unsupervised learning methods through various subpackages.

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linfa

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rust-ml · Scientific Research & Computing

STARS4.8K
FORKS333
COMMITS0
CONTRIBUTORS0
VERSION0.8.1
UPDATED2 mo ago
RustMachine LearningData ScienceAlgorithmsApache-2.0
What can it do?
  • You can set up supervised learning models with algorithms such as Naive Bayes, Elastic Net and LARS.
  • You can classify unlabeled data with K-Means, DBSCAN and hierarchical clustering methods.
  • With kernel methods and independent component analysis, you can perform data preprocessing and conversion operations.
User reviews
  • • NeutralGitHub Issue

    Roadmap

    “In terms of functionality, the mid-term end goal is to achieve an offering of ML algorithms and pre-processing routines comparable to what is currently available in Python's [`scikit-learn`]( These algorithms can either be: - re-implemented in Rust; - re-exported from an…”

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