nueramic_mathml.ml.metrics.mae#

mae(y_true, y_pred)[source]#

Returns MAE

(1)#\[\mathbf{MSE}^{2} =\]

rac{1}{n}sum_{i=1}^{n}|hat y_i - y_i|

param y_true:

array with true values of regression

param y_pred:

array with prediction values of regression

return:

mae metric in float number

Parameters:

  • y_true (Tensor) –

  • y_pred (Tensor) –

Return type:

float