Make raw_to_Xy more transparent
Open
enhancement
good first issue
- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 170
- PR merge metrics
- No merged PRs in 30d
Description
Currently, `deepdow.utils.raw_to_Xy` does a lot of magic inside and outputs only the bare minimum for training:
- `X`
- `timestamps`
- `y`
- `asset_names`
- `indicators`
Would be nice to have some debug mode that returns more.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reading deepdow.utils.raw_to_Xy and its callers to understand the current outputs. The issue does not specify which additional values or debug interface are required, so the expected completion criteria need clarification before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100