Implementations of algorithms without imputation of missing values

Question

I would like to know if there are any implementations of machine learning algorithms in python which can work even if there are missing values in the dataset. Please note that I don't want algorithms imputing the missing values first.(I could have done that using the Imputer package ). I would like to know about the implementation of algorithms which work even if there are missing values present in the dataset without imputation.

Answer 1

AFAIK scikit-learn doesn't have ML algorithms that can work with missing values without preprocessing them first. R does though.