Health index estimation metrics# ice.health_index_estimation.metrics.mse(pred: list, target: list) → float[source]# Mean squared error between real and predicted wear. Parameters: pred (list) – numpy prediction values. target (list) – numpy target values. Returns: rmse Return type: float ice.health_index_estimation.metrics.rmse(pred: list, target: list) → float[source]# Mean squared error between real and predicted wear. Parameters: pred (list) – numpy prediction values. target (list) – numpy target values. Returns: rmse Return type: float