-
Notifications
You must be signed in to change notification settings - Fork 14
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
Adds notebook for Jaccard Similarity #71
Adds notebook for Jaccard Similarity #71
Conversation
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Looks good! Only a couple minor grammar/spelling nits.
Since timing is such a key point of the notebook, I think it would be nice to either include the outputs in the notebook or include some timing information in the discussion. I suspect most readers will be "fly by" skimmers and won't run the notebook themselves.
Also, can we provide a link to open this notebook in colab?
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Just left some wording suggestions. Looks great!
…2-jaccard_notebook
…ional markdown cells for clarity.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Looks good!
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
jaccard_coefficients
(several places) should be changed to jaccard_coefficient
.
/merge |
This PR adds a notebook to demonstrate nx-cugraph's support for
nx.jaccard_coefficients()
by implementing a simple movie recommendation system based on MovieLens data.This notebook will also be made available in Google Colab and referenced in an upcoming blog.