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created a pipeline, now I would like to visualize the goodness of my fit.
would be neat to simply write: pipe.predict_in_sample().
I also tried pipe.steps[2][1].predict_in_sample() but got: ValueError: When an ARIMA is fit with an exogenous array, it must also be provided one for predicting or updating observations.
The text was updated successfully, but these errors were encountered:
This is a really great feature request, thanks. Given your other request on #195 I'm guessing you're using the pipeline to create your Fourier features, which you don't have in an exogenous array outside of the pipeline, which is why calling the ARIMA object directly won't work.
created a pipeline, now I would like to visualize the goodness of my fit.
would be neat to simply write:
pipe.predict_in_sample()
.I also tried
pipe.steps[2][1].predict_in_sample()
but got:ValueError: When an ARIMA is fit with an exogenous array, it must also be provided one for predicting or updating observations.
The text was updated successfully, but these errors were encountered: