https://github.com/mthh/classif

Library for one-dimensional data classification and simple statistics in Rust
https://github.com/mthh/classif

data-classification rust-library statistics

Last synced: 22 days ago
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Library for one-dimensional data classification and simple statistics in Rust

• Host: GitHub
• URL: https://github.com/mthh/classif
• Owner: mthh
• License: apache-2.0
• Created: 2017-08-13T21:43:05.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-04-24T09:46:12.000Z (over 6 years ago)
• Last Synced: 2023-12-08T07:01:45.161Z (11 months ago)
• Topics: data-classification, rust-library, statistics
• Language: Rust
• Homepage:
• Size: 22.5 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE-APACHE

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README

        
# classif

[![Build Status](https://travis-ci.org/mthh/classif.svg?branch=master)](https://travis-ci.org/mthh/classif)

Rust library for data classification, especially methods used in cartography, and simple statistics.  

Availables classification methods: **Jenks Natural Breaks**, **Equal Invervals**, **Quantiles**, **Arithmetic Progression** and **Head-Tail Breaks**.

Statistical functions: *mean, median, kurtosis, variance, standard deviation, root mean square, harmonic mean* and *geometric mean*.

## Usage

To use `classif`, first add this to your `Cargo.toml`:

```toml

[dependencies]

classif = "0.0.2"

```

Then, add this to your crate root:

```rust

extern crate classif;

```

The API documentation of this library can be found at [https://docs.rs/classif](https://docs.rs/classif).

## License

Licensed under either of

 * Apache License, Version 2.0 ([LICENSE-APACHE](LICENSE-APACHE) or http://www.apache.org/licenses/LICENSE-2.0)

 * MIT license ([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT)

at your option.

### Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted

for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any

additional terms or conditions.