-
Notifications
You must be signed in to change notification settings - Fork 1.2k
Sparse matrix to recordIO? #27
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
Comments
Hi Egor, Yes, this is a great feature and something I've been thinking about. We're thinking of supporting types in scipy.sparse (e.g. csr, bsr). Would this work for you? Thanks, Owen. |
Yes, sure, it would be great to have the support of |
Implemented this in #28, have a look please. |
This has been merged, closing the issue. |
Reopening - this has been merged, but has not been released to SageMaker Notebook Instances and pypi yet. Will start working on the releases later this week. |
closing issue as it's now been released as part of version 1.0.2 |
added notice metadata to the notebooks
Integration test of FrameworkProcessor with SageMaker workflow
How can I write sparse matrix to binary format (for use in the factorization machines algorithm)? I found only the
write_numpy_to_dense_tensor
function.The text was updated successfully, but these errors were encountered: