Question about forcing/dynamic variables
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- Dominant language
- Python
- Stars
- 1k
- Forks
- 174
- PR merge metrics
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Description
I would like some clarification about the rationale behind incorporating weekday as a forcing variable in Aurora. The setup utilizes dow_cos and dow_sin as dynamic inputs; I would like to understand the contribution these variables are expected to make towards enhancing the accuracy of Aurora's predictions.
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
Start by reviewing how the Aurora setup uses the dynamic inputs dow_cos and dow_sin. The issue does not name files, tests, or entry points, so locate where these variables are incorporated into the model inputs. Done means documenting the rationale and expected contribution to prediction accuracy.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100