Mean absolute and squared error
Your task
Given y_true and y_pred (equal-length non-empty lists of numbers), compute the mean absolute error (MAE = mean of |y_true - y_pred|) and the root mean squared error (RMSE = sqrt of the mean of (y_true - y_pred)^2). Return [mae, rmse], each rounded to 6 decimals.
Examples
mae_rmse(y_true: list[float], y_pred: list[float]) -> list[float]Example 1
Input
mae_rmse([1, 2, 3], [1, 2, 3])Output
[0, 0]