Pickle Support
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- Dominant language
- Python
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- Forks
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- Avg merge
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- Merged PRs (30d)
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Description
Great and useful library- thank you for this!
I am using Patsy for splines and applying a fit spline to new data is tedious and inefficient because there doesn't seem to be pickle support. So when new data is scored, you need to load the training data and fit the splines anew and hold them in memory.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the spline-fitting and new-data scoring workflow described in the issue, then inspect Patsy's relevant serialization behavior and tests. Done means a fitted spline can be pickled, restored, and used to score new data without reloading the training data or refitting.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100