One frequently wants to intelligently split their testing data before processing. Particularly, one wants to make sure that cases in the "Training" set do not share characteristics with cases in the Testing set, such as being derived from the same patient.
It would be useful to create a train/val/test splitting mechanism in DeepNeuro that could figure out these problems for us.
One frequently wants to intelligently split their testing data before processing. Particularly, one wants to make sure that cases in the "Training" set do not share characteristics with cases in the Testing set, such as being derived from the same patient.
It would be useful to create a train/val/test splitting mechanism in DeepNeuro that could figure out these problems for us.