42 lines
1.6 KiB
YAML
42 lines
1.6 KiB
YAML
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." [web:5][web:3]
|
|
repository-code: "https://github.com/smartcorelib/smartcore" [web:5]
|
|
url: "https://github.com/smartcorelib" [web:3]
|
|
license: "MIT" [web:13]
|
|
keywords:
|
|
- Rust
|
|
- machine learning
|
|
- numerical computing
|
|
- linear algebra
|
|
- classification
|
|
- regression
|
|
- clustering
|
|
- SVM
|
|
- Random Forest
|
|
- XGBoost [web:5]
|
|
authors:
|
|
- name: "smartcore Developers" [web:7]
|
|
- name: "Lorenzo (contributor)" [web:16]
|
|
- name: "Community contributors" [web:7]
|
|
version: "0.4.2" [attached_file:1]
|
|
date-released: "2025-09-14" [attached_file:1]
|
|
preferred-citation:
|
|
type: software
|
|
title: "smartcore: Machine Learning in Rust"
|
|
authors:
|
|
- name: "smartcore Developers" [web:7]
|
|
url: "https://github.com/smartcorelib" [web:3]
|
|
repository-code: "https://github.com/smartcorelib/smartcore" [web:5]
|
|
license: "MIT" [web:13]
|
|
references:
|
|
- type: manual
|
|
title: "smartcore Documentation"
|
|
url: "https://docs.rs/smartcore" [web:5]
|
|
- type: webpage
|
|
title: "smartcore Homepage"
|
|
url: "https://github.com/smartcorelib" [web:3]
|
|
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]
|