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

pyspark.ml.linalg data types support? #132

Open
yupbank opened this issue Oct 16, 2017 · 0 comments
Open

pyspark.ml.linalg data types support? #132

yupbank opened this issue Oct 16, 2017 · 0 comments

Comments

@yupbank
Copy link
Contributor

yupbank commented Oct 16, 2017

some how for a dense vector i need to convert to array and expand_dims to do the work around
but we also have sparse vector and matrix.

since tensorflow do have sparse vector type, thoughts ?

yes.. i'm working on a spark linear algebra utils project using tensorframes.

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

1 participant