smartcore 0.5.3

Machine Learning in Rust.
Documentation 
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cff-version: 1.2.0
message: "If this software contributes to published work, please cite smartcore."
type: software
title: "smartcore: Machine Learning in Rust"
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."
repository-code: "https://github.com/smartcorelib/smartcore"
url: "https://github.com/smartcorelib"
license: "MIT"
keywords:
  - Rust
  - machine learning
  - numerical computing
  - linear algebra
  - classification
  - regression
  - clustering
  - SVM
  - Random Forest
  - XGBoost [web:5]
authors:
  - name: "smartcore Developers"
  - name: "Lorenzo (contributor)"
  - name: "Community contributors"
version: "0.4.2" [attached_file:1]
date-released: "2025-09-14"
preferred-citation:
  type: software
  title: "smartcore: Machine Learning in Rust"
  authors:
    - name: "smartcore Developers"
  url: "https://github.com/smartcorelib"
  repository-code: "https://github.com/smartcorelib/smartcore"
  license: "MIT"
references:
  - type: manual
    title: "smartcore Documentation"
    url: "https://docs.rs/smartcore"
  - type: webpage
    title: "smartcore Homepage"
    url: "https://github.com/smartcorelib"
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."