Update dependency list
Nobody has claimed this yet.
Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 35/100
- Issue type
- Refactor
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- keras, numpy, python, tensorflow
- Domain
- build-system, machine-learning
Research direction
No dependency file is named in the issue. Start by locating the project's dependency declaration and checking how MLPrimitives currently lists numpy, tensorflow, Keras, and featuretools. Done means the dependency list reflects the intended latest versions and the project's dependency validation still passes.
Written by the indexing model from the issue text.
Description
- MLPrimitives version: 0.3.2
Description
Update dependencies list to latest
numpy
tensorflow
Keras
featuretools
- Dominant language
- Python
- Stars
- 70
- Forks
- 37
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing guide
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.
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