Trait MeanAbsoluteError

pub trait MeanAbsoluteError {
    type Output;

    // Required method
    fn mae(&self) -> Self::Output;
}

Compute the mean absolute error (MAE) of the object; more formally, we define the MAE as the average of the absolute differences between the predicted and actual values:

$$ Err = \frac{1}{n} \sum_{i=1}^{n} |y_i - \hat{y}_i| $$

Required Associated Types

type Output

Required Methods

fn mae(&self) -> Self::Output

Implementations on Foreign Types

impl<A, S, D> MeanAbsoluteError for ArrayBase<S, D>

where A: Float + FromPrimitive + ScalarOperand, D: Dimension, S: Data<Elem = A>,

type Output = A

fn mae(&self) -> Self::Output

Implementors