dask / dask/dask-ml

SparseCoder

Open
#197 5 comments 0 reactions 0 assignees View on GitHub
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

Open the contributing 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

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