New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Bayesian : do you have capability to not crush calculations when there is observations in test data not seen in train data #7

Open

Sandy4321 opened this issue Feb 25, 2020 · 0 comments

Sandy4321 commented Feb 25, 2020

regarding to Bayesian for categorical data
https://github.com/taspinar/siml/blob/master/siml/naive_bayes.py
do you have capability to not crush calculations when there is observations in test data not seen in train data
seems to be this one
https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html#sklearn.naive_bayes.CategoricalNB

dose not

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment