#machine-learning #machine #learning #geometry #space #vector

spaces

Set/space primitives for defining machine learning problems

22 stable releases (6 major)

Uses old Rust 2015

6.0.0 Feb 9, 2022
5.0.0 Aug 18, 2019
4.7.1 Apr 14, 2019
4.5.0 Mar 24, 2019
0.1.0 Mar 16, 2018

#345 in Machine learning

Download history 1/week @ 2023-12-04 8/week @ 2023-12-11 14/week @ 2023-12-18 8/week @ 2023-12-25 8/week @ 2024-01-01 19/week @ 2024-01-08 13/week @ 2024-01-15 8/week @ 2024-01-22 1/week @ 2024-01-29 5/week @ 2024-02-05 15/week @ 2024-02-12 35/week @ 2024-02-19 61/week @ 2024-02-26 37/week @ 2024-03-04 27/week @ 2024-03-11 32/week @ 2024-03-18

158 downloads per month
Used in 4 crates

MIT license

335KB
1K SLoC

spaces (api)

Crates.io Build Status Coverage Status

Overview

spaces provides a set of set/space primitives for machine learning problems. Traits such as Space, and it's derivatives, may be used to define state/action spaces, for example. Mappings between different spaces may also be defined which simplify many common preprocessing tasks.

Installation

[dependencies]
spaces = "6.0"

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate and adhere to the angularjs commit message conventions (see here).

License

MIT

Dependencies

~450–730KB
~14K SLoC