Is it possible to oversample the dataset without replacement? For RandomUnderSampling, there exist a boolean hyperparameter [replacement]; But, this hyperparameter doesn't exist in RandomOverSampling
Looking at RandomOverSampling Docs:
Object to over-sample the minority class(es) by picking samples at random with replacement. The bootstrap can be generated in a smoothed manner.
Any suggestions or alternative approaches to follow?