At some point the estimators are taking sequential time series data and turning it into a structured supervised learning problem. Form the docs and the code, it seems that that is happening during the transformation phase and using the instancesplitter.
Is there a way of pulling that transformed data from the estimator (in order to debug a model that is giving unexpected predictions) as opposed to having to reconstruct the transformation pipeline from scratch?
At some point the estimators are taking sequential time series data and turning it into a structured supervised learning problem. Form the docs and the code, it seems that that is happening during the transformation phase and using the instancesplitter.
Is there a way of pulling that transformed data from the estimator (in order to debug a model that is giving unexpected predictions) as opposed to having to reconstruct the transformation pipeline from scratch?