python - Mixing categorial and continuous data in Naive Bayes Regression using scikit-learn -


i'm using scikit-learn in python , want use bayesianridge regression prediction of continuous valued target continuous inputs. problem have series of binary/categorical inputs , dont know whether should still use bayesianridge regressor.

if supply values 0 or 1 (or -1, 0, 1) bayesianridge regression, results? or there better way this?

i'm still new machine learning , have admit find scikit learn documentation overwhelming.

i saw question regarding naive bayes classifier, there similar approach bayesian ridge regression?

mixing categorial , continuous data in naive bayes classifier using scikit-learn


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