Getting different recommendations
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- Python
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Description
I am getting different results(recommended products) when
1. Running the script in AWS env.
2. When the device calls my flask API to get the recommendation(API import the script mentioned above).
Also, I have random_state so that the results can be reproducible.
When I checked the recommendations from scripts vs API in my local machine both the results are the same.
I am confused about what changed the result in AWS env.
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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 comparing the script's execution in the AWS environment with the Flask API entry point that imports it, then compare both against the local runs. Check how random_state and the runtime environment are configured in each case. Done means identifying why AWS produces different recommendations or documenting a reproducible configuration that keeps the results consistent.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, flask, python
- Domain
- backend-api-design, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100