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CITATION.cff

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cff-version: 1.2.0
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message: "If this software contributes to published work, please cite smartcore."
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type: software
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title: "smartcore: Machine Learning in Rust"
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abstract: "smartcore is a comprehensive machine learning and numerical computing library for Rust, offering supervised and unsupervised algorithms, model evaluation tools, and linear algebra abstractions, with optional ndarray integration." [web:5][web:3]
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repository-code: "https://github.com/smartcorelib/smartcore" [web:5]
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url: "https://github.com/smartcorelib" [web:3]
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license: "MIT" [web:13]
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keywords:
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- Rust
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- machine learning
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- numerical computing
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- linear algebra
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- classification
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- regression
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- clustering
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- SVM
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- Random Forest
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- XGBoost [web:5]
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authors:
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- name: "smartcore Developers" [web:7]
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- name: "Lorenzo (contributor)" [web:16]
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- name: "Community contributors" [web:7]
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version: "0.4.2" [attached_file:1]
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date-released: "2025-09-14" [attached_file:1]
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preferred-citation:
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type: software
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title: "smartcore: Machine Learning in Rust"
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authors:
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- name: "smartcore Developers" [web:7]
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url: "https://github.com/smartcorelib" [web:3]
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repository-code: "https://github.com/smartcorelib/smartcore" [web:5]
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license: "MIT" [web:13]
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references:
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- type: manual
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title: "smartcore Documentation"
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url: "https://docs.rs/smartcore" [web:5]
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- type: webpage
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title: "smartcore Homepage"
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url: "https://github.com/smartcorelib" [web:3]
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notes: "For development features, see the docs.rs page and the repository README; SmartCore includes algorithms such as SVM, Random Forest, K-Means, PCA, DBSCAN, and XGBoost." [web:5]

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