google-research / google-research/google-research
What if my own dataset have missing values at some time steps for TFT model?
Open
- Dominant language
- Jupyter Notebook
- Stars
- 38.8k
- Forks
- 8.5k
- PR merge metrics
- No merged PRs in 30d
Description
I want to apply TFT model to my own dataset, but there are missing values at some time steps. My question is whether the model can handle missing values? Do I need to preprocess my data to keep the time series continuous?
Contributor guide
Research direction
No file, test, or entry point is named. Start by locating the TFT example notebook and its dataset-preparation steps, then determine whether missing time steps and missing values are supported; done means documenting the required preprocessing and continuity behavior for users.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100