aws / aws/amazon-sagemaker-examples
DeepAR+ vs DeepAR
Open
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
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Description
I was wondering what the difference was between the 2 algorithms.
Given the choice, should we always use DeepAR+ or are there scenarios where one is better than the other?
Contributor guide
Research direction
No file, notebook, or entry point is identified. Start by finding the repository material that uses or explains DeepAR and DeepAR+, then compare their documented behavior and usage guidance; done means a clear explanation of the differences and when to choose each.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, machine-learning
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100