SparseCoder
Open
- Dominant language
- Python
- Stars
- 951
- Forks
- 262
- PR merge metrics
- No merged PRs in 30d
Description
Would be nice to wrap/implement [`SparseCoder`]( http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html ) for use with Dask-ML and Dask Arrays. This is useful for computing the sparse code that is associated with a precomputed dictionary.
Contributor guide
Research direction
Start by reading the linked scikit-learn SparseCoder documentation and reviewing how Dask-ML and Dask Arrays expose scalable estimators. Define the integration needed for sparse coding with a precomputed dictionary; done means SparseCoder is available for Dask-ML and Dask Arrays with coverage for that use case.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, scikit-learn
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100