Skip to content

Add Normalizer Estimator #2310

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

Open
icfaust opened this issue Feb 10, 2025 · 0 comments
Open

Add Normalizer Estimator #2310

icfaust opened this issue Feb 10, 2025 · 0 comments
Labels
good first issue Good for newcomers hacktoberfest help wanted Open to community contribution

Comments

@icfaust
Copy link
Contributor

icfaust commented Feb 10, 2025

The normalizer estimator scales the samples independently by the sample's norm (l1, l2). Use the IncrementalBasicStatistics
estimator to generate the sum squared data and use it for generating only the l2 version of the normalizer. Investigate where
the new implementation may be low performance and include guards in the code to use Scikit-learn as necessary. The final
deliverable would be to add this estimator to the 'spmd' interfaces which are effective on MPI-enabled supercomputers, this
will use the underlying MPI-enabled mean and variance calculators in IncrementalBasicStatistics. This is an easy difficulty project,
and would be a medium time commitment when combined with other pre-processing projects.

https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html

@icfaust icfaust added good first issue Good for newcomers hacktoberfest help wanted Open to community contribution labels Feb 10, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
good first issue Good for newcomers hacktoberfest help wanted Open to community contribution
Projects
None yet
Development

No branches or pull requests

1 participant