nueramic_mathml.ml.metrics.mse#

mse(y_true, y_pred)[source]#

Returns MSE

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

rac{1}{n}sum_{i=1}^{n}(hat y_i - y_i)^2}

param y_true:

array with true values of regression

param y_pred:

array with prediction values of regression

return:

mse metric in float number

Parameters:

  • y_true (Tensor) –

  • y_pred (Tensor) –

Return type:

float