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