megnet.losses module

Loss functions

mean_squared_error_with_scale(y_true, y_pred, scale=10000)

Keras default log for tracking progress shows two decimal points, here we multiply the mse by a factor to fully show the loss in progress bar

Parameters

• y_true – (tensor) training y

• y_pred – (tensor) predicted y

• scale – (int or float) factor to multiply with mse

Returns

scaled mse (float)

mse_scale(y_true, y_pred, scale=10000)

Keras default log for tracking progress shows two decimal points, here we multiply the mse by a factor to fully show the loss in progress bar

Parameters

• y_true – (tensor) training y

• y_pred – (tensor) predicted y

• scale – (int or float) factor to multiply with mse

Returns

scaled mse (float)