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Learning"],"sub_categories":[],"readme":"# Extended Isolation Forest\n\n[![Latest Version](https://img.shields.io/crates/v/extended-isolation-forest.svg)](https://crates.io/crates/extended-isolation-forest) [![dependency status](https://deps.rs/repo/github/nmandery/extended-isolation-forest/status.svg)](https://deps.rs/repo/github/nmandery/extended-isolation-forest)\n\nThis is a rust port of the anomaly detection algorithm described in [Extended Isolation Forest](https://doi.org/10.1109/TKDE.2019.2947676)\nand implemented in [https://github.com/sahandha/eif](https://github.com/sahandha/eif). For a detailed description see the paper or the\ngithub repository.\n\nThis crate requires rust \u003e= 1.51 as it makes use of `min_const_generics`.\n\nIncludes optional serde support with the `serde` feature.\n\n## Example\n\n```rust\nuse rand::distributions::Uniform;\nuse rand::Rng;\nuse extended_isolation_forest::{Forest, ForestOptions};\n\nfn make_f64_forest() -\u003e Forest\u003cf64, 3\u003e {\n    let rng = \u0026mut rand::thread_rng();\n    let distribution = Uniform::new(-4., 4.);\n    let distribution2 = Uniform::new(10., 50.);\n    let values: Vec\u003c_\u003e = (0..3000)\n        .map(|_| [rng.sample(distribution), rng.sample(distribution), rng.sample(distribution2)])\n        .collect();\n\n    let options = ForestOptions {\n        n_trees: 150,\n        sample_size: 200,\n        max_tree_depth: None,\n        extension_level: 1,\n    };\n    Forest::from_slice(values.as_slice(), \u0026options).unwrap()\n}\n\nfn main() {\n    let forest = make_f64_forest();\n\n    // no anomaly\n    assert!(forest.score(\u0026[1.0, 3.0, 25.0]) \u003c 0.5);\n    assert!(forest.score(\u0026[-1.0, 3.0, 25.0]) \u003c 0.5);\n\n    // anomalies\n    assert!(forest.score(\u0026[-12.0, 6.0, 25.0]) \u003e 0.5);\n    assert!(forest.score(\u0026[-1.0, 2.0, 60.0]) \u003e 0.5);\n    assert!(forest.score(\u0026[-1.0, 2.0, 0.0]) \u003e 0.5);\n}\n```\n\n## Example: Detection anomalies in movement recordings\n\nThis example uses acceleration data recorded using a smartphone while walking up and down stairs. The anomaly was \ncaused by a small jump. The code is in [`examples/walking_stairs.rs`](examples/walking_stairs.rs), the data itself\nis in [`data/acceleration`](data/acceleration). All data for this example was collected with the [phyphox smartphone app](https://phyphox.org/). \n\nThe example can be executed using\n\n```\ncargo run --example walking_stairs\n```\n\nExpected result:\n\n![](walking_stairs.png)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnmandery%2Fextended-isolation-forest","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnmandery%2Fextended-isolation-forest","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnmandery%2Fextended-isolation-forest/lists"}