Trait Determination

pub trait Determination: Predictive {
    // Provided methods
    fn determination(
        &self,
        predictors: impl Iterator<Item = f64>,
        outcomes: impl Iterator<Item = f64> + Clone,
        len: usize,
    ) -> f64 { ... }
    fn determination_slice(&self, predictors: &[f64], outcomes: &[f64]) -> f64 { ... }
}

Available on crate feature regression only.

Helper trait to make the R² method take a generic iterator.

This enables Predictive to be dyn.

Provided Methods

fn determination( &self, predictors: impl Iterator<Item = f64>, outcomes: impl Iterator<Item = f64> + Clone, len: usize, ) -> f64

Calculates the R² (coefficient of determination), the proportion of variation in predicted model.

predictors are the x values (input to the function). outcomes are the observed dependant variable. len is the count of data points.

If predictors and outcomes have different lengths, the result might be unexpected.

O(n)

fn determination_slice(&self, predictors: &[f64], outcomes: &[f64]) -> f64

Convenience method for