Struct linregress::RegressionParameters [−][src]
pub struct RegressionParameters {
    pub intercept_value: f64,
    pub regressor_names: Vec<String>,
    pub regressor_values: Vec<f64>,
}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
impl RegressionParameters[src]
impl RegressionParameters[src]pub fn pairs(&self) -> Vec<(&str, f64)>[src]
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
impl Clone for RegressionParameters[src]
impl Clone for RegressionParameters[src]fn clone(&self) -> RegressionParameters[src]
pub fn clone_from(&mut self, source: &Self)1.0.0[src]
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
impl<SS, SP> SupersetOf<SS> for SP where
    SS: SubsetOf<SP>, [src]
impl<SS, SP> SupersetOf<SS> for SP where
    SS: SubsetOf<SP>, [src]