aws / aws/amazon-sagemaker-examples
Model retraining: how to retrain a model on new data once a training job is created
Open
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
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Description
Once a training job is created, how do we retrain the existing model on new data ? Do the checkpoints get saved and can be used to retrain from that point ?
Contributor guide
Research direction
No file, test, or entry point is named. Start by reviewing the issue's questions about SageMaker training jobs, checkpoints, and retraining on new data; done would be a documented, reproducible answer or example covering whether checkpoints can be reused.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, machine-learning
- Domain
- cloud, documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100