Skip to content
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.

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

churn analysis in big data with BTYDplus #75

Open
meisamgh opened this issue Aug 1, 2019 · 3 comments
Open

churn analysis in big data with BTYDplus #75

meisamgh opened this issue Aug 1, 2019 · 3 comments

Comments

@meisamgh
Copy link

meisamgh commented Aug 1, 2019

how we can deal with big data when we use of BTYDplus? What is the most effective way. we have more than 1 billiard data with 40 million customers.

@phlogisticfugu
Copy link

We actually had to write some of our own code to make this work on larger data @meisamgh and made it part of our platform. Would be happy to chat more if that's something you are interested in

@meisamgh
Copy link
Author

meisamgh commented Aug 3, 2019

Hi, @phlogisticfugu, in fact because of some sanctions on my country I don't have access to chat, PIZ email, Maysam.ghafary@gmail.com

@shainasreji
Copy link

Hi @phlogisticfugu I'm trying to use the conditional expected transactions function to make predictions on large data but am getting NaN's as a result. Is this something you might know more about handling?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants