forecast-tools

Changed

• All point forecast metrics now validate inputs and raise ValueError or TypeError when y_true and y_pred do not meet specifications
• mean_absolute_percentage_error and symmetric_mean_absolute_percentage_error now raise user warnings when values are close to zero. i.e. inflation of metrics can occur.

Fixed

• PATCH: point forecast metrics can now handle edge case where y_true and y_pred inputs are different data types (e.g. pd.Series and np.array). Prior to v0.4.1 this generated an incorrect metric.