Hi all:
I use the MinMaxScaler for data normalization, but I found the the api is only for Vector, we must vectorized the features firtst. However, the feature usually include two parts: one is need to be Normalization, another should not be normalized such as categorical. I want to add a api with the DataFrame which aim to normalize the columns which we want to normalize. And then we can make it to be vector and sent to the ML model api to train. I think that will be very useful for the developer with machine learning. Best Regards Thanks