You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
When using Pipeline, the user sends a dictionary in the load method, the keys for this dictionary are arbitrary and this does not cause any trouble.
But when using SKExperiment and trying to train an experiment, the MetaEstimator assumes certain naming conventions for the keys. I should make this explicit. Probably raising and exception in skpipeline.load when data does not have the appropiate keys
The text was updated successfully, but these errors were encountered:
When using Pipeline, the user sends a dictionary in the load method, the keys for this dictionary are arbitrary and this does not cause any trouble.
But when using SKExperiment and trying to train an experiment, the MetaEstimator assumes certain naming conventions for the keys. I should make this explicit. Probably raising and exception in skpipeline.load when data does not have the appropiate keys
The text was updated successfully, but these errors were encountered: