read through it, mentioned ‘we do small random transformations’
what is small means? what percentage is being transform? that is my questions … why not ADD to the original dataset. From what i see the number of dataset remains the same.
say if you have 1000 dataset, after the tranformation still 1000, say 10% is being transform. Then 100 is ‘new’ tranform dataset. This means we ‘lose’ the original 100 dataset. I don’t think this is a good practice. It is better to ADD on top of the original dataset. In that way you don’t lose any valuable original information.