Trusted-AI / Trusted-AI/AIX360
Version reconciliation with AIF360
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- Dominant language
- Python
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Description
My team is working on a repository (https://github.ibm.com/ML-Pipelines/ml-pipelines) to demonstrate code examples used across IBM. We are using poetry environments to compartmentalize our environments.
We have tried many python versions (3.7.0, 3.7.1, 3.7.4, 3.9.6) for our environment that demonstrates IBM Research Trusted-AI code, but none of them have allowed us to install both AIX360 (>=3.6) and AIF360 (>=3.7) without install errors.
Would you recommend any Python version (or any other environment configurations) to get these to work together?
Contributor 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.
Research direction
Start by reproducing the installation errors in a Poetry environment using the Python versions listed in the issue, with both AIX360 and AIF360. Inspect their dependency requirements and record a Python version or environment configuration that installs both successfully; if none works, document the incompatibility and evidence.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, tooling
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100