Getting Prediction of New Data
- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 170
- PR merge metrics
- No merged PRs in 30d
Description
Hello, I am following your end_to_end tutorial (getting_started.py) using the real stock data. I am trying to train my model using all of my data and prepare a portfolio for the future (which I don't have any y value). How can I prepare a portfolio after I trained my model using the dataset? I couldn't prepare a valid data format without y value for my case.
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Research direction
Start with the end_to_end tutorial in getting_started.py and trace how training data and y values are represented. Clarify the expected future-data format and whether the requested outcome requires a code change or documentation. Done means defining and supporting a valid portfolio-preparation workflow when future y values are unavailable.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- fintech-quant, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100