Struct RansacSolver

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pub struct RansacSolver { /* private fields */ }

Implementations§

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impl RansacSolver

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pub fn new() -> Self

Examples found in repository ?

examples/basic_usage.rs (line 16)

3fn main() {
4    // 1. Create some messy data
5    let data = vec![
6        Point::new(1.0,  3.0),  // 2x + 1
7        Point::new(2.0,  5.0),  // 2x + 1
8        Point::new(3.0,  7.0),  // 2x + 1
9        Point::new(4.0,  9.0),  // 2x + 1
10        Point::new(2.5, 50.0),  // OUTLIER!
11        Point::new(3.5, -10.0), // OUTLIER!
12        Point::new(5.0, 11.0),  // 2x + 1
13    ];
14
15    // 2. Fit
16    let result = RansacSolver::new()
17        .with_seed(123)
18        .fit(&data);
19
20    // 3. Handle Result
21    match result {
22        Ok(model) => {
23            println!("Succcess!");
24            println!("y = {:.2}x + {:.2}", model.slope, model.intercept);
25            // Should predict close to y = 2*10 + 1 = 21
26            println!("Prediction for x=10: {}", model.predict(10.0));
27        },
28        Err(e) => println!("RANSAC failed: {}", e),
29    }
30}

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pub fn with_seed(self, seed: u64) -> Self

Examples found in repository ?

examples/basic_usage.rs (line 17)

3fn main() {
4    // 1. Create some messy data
5    let data = vec![
6        Point::new(1.0,  3.0),  // 2x + 1
7        Point::new(2.0,  5.0),  // 2x + 1
8        Point::new(3.0,  7.0),  // 2x + 1
9        Point::new(4.0,  9.0),  // 2x + 1
10        Point::new(2.5, 50.0),  // OUTLIER!
11        Point::new(3.5, -10.0), // OUTLIER!
12        Point::new(5.0, 11.0),  // 2x + 1
13    ];
14
15    // 2. Fit
16    let result = RansacSolver::new()
17        .with_seed(123)
18        .fit(&data);
19
20    // 3. Handle Result
21    match result {
22        Ok(model) => {
23            println!("Succcess!");
24            println!("y = {:.2}x + {:.2}", model.slope, model.intercept);
25            // Should predict close to y = 2*10 + 1 = 21
26            println!("Prediction for x=10: {}", model.predict(10.0));
27        },
28        Err(e) => println!("RANSAC failed: {}", e),
29    }
30}

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pub fn with_min_trials(self, min_trials: usize) -> Self

Set a custom minimum number of RANSAC trials. This lower bound prevents premature stopping when an early

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pub fn fit(&self, data: &[Point]) -> Result<LinearModel, RansacError>

Examples found in repository ?

examples/basic_usage.rs (line 18)

3fn main() {
4    // 1. Create some messy data
5    let data = vec![
6        Point::new(1.0,  3.0),  // 2x + 1
7        Point::new(2.0,  5.0),  // 2x + 1
8        Point::new(3.0,  7.0),  // 2x + 1
9        Point::new(4.0,  9.0),  // 2x + 1
10        Point::new(2.5, 50.0),  // OUTLIER!
11        Point::new(3.5, -10.0), // OUTLIER!
12        Point::new(5.0, 11.0),  // 2x + 1
13    ];
14
15    // 2. Fit
16    let result = RansacSolver::new()
17        .with_seed(123)
18        .fit(&data);
19
20    // 3. Handle Result
21    match result {
22        Ok(model) => {
23            println!("Succcess!");
24            println!("y = {:.2}x + {:.2}", model.slope, model.intercept);
25            // Should predict close to y = 2*10 + 1 = 21
26            println!("Prediction for x=10: {}", model.predict(10.0));
27        },
28        Err(e) => println!("RANSAC failed: {}", e),
29    }
30}