🎉 🎉 RAPIDMINER 9.10 IS OUT!!! 🎉🎉
Download the latest version helping analytics teams accelerate time-to-value for streaming and IIOT use cases.
normalization/automodel/ deep learning
I'm using deep learning and I know that this method (in rapidminer) applies standardization by default when automodeling. I' m trying to do a regression and no matter how I introduce the dataset to train my model (without normalization, z transformation, range transformation), I always get the same results.
So, I want to know why this happen, any guidance will be helpful! Thanks
(maybe it is some Deep learning feature I'm ignoring)
(by the way, I love the platform)