microsoft / microsoft/agent-learning
Add Microsoft Fabric and PySpark Support
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 10
- Forks
- 9
- Avg merge
- 1d 19h
- Merged PRs (30d)
- 4
Description
Summary
Enable Agent Learning execution in distributed Spark environments including Microsoft Fabric.
Motivation
The same Python package can support both standalone execution and distributed Spark-based execution using a common codebase. This pattern aligns with Microsoft Fabric library management and enterprise analytics practices.
Proposed Work
Spark-compatible package architecture
PySpark integration layer
Distributed episode processing
Fabric notebook examples
Fabric environment installation guidance
Acceptance Criteria
Fabric notebook samples
PySpark support validated
Distributed learning workflow demonstrated
Contributor guide
No contributing guide indexed for this repository
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
The issue does not name files, tests, or existing entry points. Start by mapping the Python package architecture and identifying how Agent Learning execution and episode processing currently work, then evaluate the proposed PySpark integration and Microsoft Fabric examples against the acceptance criteria. Done means validated PySpark support, Fabric notebook samples, installation guidance, and a demonstrated distributed learning workflow.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-engineering, distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100