Struct linregress::RegressionParameters
source · [−]pub struct RegressionParameters {
pub intercept_value: f64,
pub regressor_names: Vec<String>,
pub regressor_values: Vec<f64>,
}Expand description
A parameter of a fitted RegressionModel given for the intercept and each regressor.
The values and names of the regressors are given in the same order.
You can obtain name value pairs using pairs.
Fields
intercept_value: f64regressor_names: Vec<String>regressor_values: Vec<f64>Implementations
Returns the parameters as a Vec of tuples of the form (name: &str, value: f64).
Usage
use linregress::{FormulaRegressionBuilder, RegressionDataBuilder};
let y = vec![1.,2. ,3. , 4.];
let x1 = vec![4., 3., 2., 1.];
let x2 = vec![1., 2., 3., 4.];
let data = vec![("Y", y), ("X1", x1), ("X2", x2)];
let data = RegressionDataBuilder::new().build_from(data)?;
let model = FormulaRegressionBuilder::new().data(&data).formula("Y ~ X1 + X2").fit()?;
let pairs = model.parameters.pairs();
assert_eq!(pairs[0], ("X1", -0.0370370370370372));
assert_eq!(pairs[1], ("X2", 0.9629629629629629));Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for RegressionParameters
impl Send for RegressionParameters
impl Sync for RegressionParameters
impl Unpin for RegressionParameters
impl UnwindSafe for RegressionParameters
Blanket Implementations
Mutably borrows from an owned value. Read more
The inverse inclusion map: attempts to construct self from the equivalent element of its
superset. Read more
Checks if self is actually part of its subset T (and can be converted to it).
Use with care! Same as self.to_subset but without any property checks. Always succeeds.
The inclusion map: converts self to the equivalent element of its superset.