Function mean_squared_error

pub fn mean_squared_error<F: Float + Debug>(
    predictions: &Array<F, IxDyn>,
    targets: &Array<F, IxDyn>,
) -> Result<F>

Calculate the mean squared error between predictions and targets

Arguments

• predictions - Predicted values
• targets - Target values

Returns

• The mean squared error

Examples

use scirs2_neural::utils::mean_squared_error;
use ndarray::arr1;

let predictions = arr1(&[1.0f64, 2.0, 3.0]).into_dyn();
let targets = arr1(&[1.5f64, 1.8, 2.5]).into_dyn();

let mse = mean_squared_error(&predictions, &targets).unwrap();
assert!(mse > 0.0f64);