Closed antoinecarme closed 6 years ago
Added a simple interpolation when needed :
signal_interpolated = signal.interpolate(method='linear', limit_direction='both', axis=0)
before training or forecasting the model.
More sophisticated interpolartion is possible , but we let that to the user (can be business related).
Closing
Following issue #19, the dataset can contain missing data in the signal column.
Allow the user to interpolate the signal before building the model.