MLH-Fellowship / MLH-Fellowship/Auto-Tagger
Unable to deploy model on Heroku - Error R15 (Memory quota vastly exceeded)
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4
- Forks
- 3
- PR merge metrics
- No merged PRs in 30d
Description
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
The issue provides only a Heroku R15 memory-quota screenshot and names no files, tests, or entry points. Begin by reproducing the deployment and inspecting the Heroku logs and model-serving configuration; done means the model deploys without exceeding the memory quota.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- cloud, devops
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100