Sample selection
Open
- Dominant language
- Jupyter Notebook
- Stars
- 551
- Forks
- 143
- PR merge metrics
- No merged PRs in 30d
Description
I would like to ask if AutoX has any plans for sample selection?
Now many data sets are so large that the computing power of individuals and small companies cannot afford.
Can a part of the data be selected for training to approximate the effect of full data training?
Contributor guide
No contributing guide indexed for this repository
Research direction
Look at the AutoX codebase for data loading and preprocessing modules to understand the current pipeline. Investigate existing sampling techniques or if any are implemented. Determine how to integrate a sample selection feature that works with large datasets and evaluate its impact on training performance.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, machine-learning, python
- Domain
- data-engineering, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100