To be more accurate, after several full run, not in each epoch. So basically I run a net fit several times with cross validation and then update the input data and re-run the whole process.
why not create a function inside the Dataset object, something like update which might take arguments required and updates the data[‘prob’]. You will have have freedom to call the function when you want (after how many cross validations you want…)
I believe this should work, have done something similar myself once
Thank you for the suggestion I will try to implement that.
Still I wonder why the simple modification directly towards tensors inside the dataset object is not working.