megnet.losses module¶
-
mean_squared_error_with_scale
(y_true, y_pred, scale=10000)[source]¶ 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)
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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)