EpistasisLab / EpistasisLab/tpot2
add a debugging tutorial
Open
enhancement
- Dominant language
- Jupyter Notebook
- Stars
- 250
- Forks
- 33
- PR merge metrics
- No merged PRs in 30d
Description
This tutorial could cover basic debugging steps and common issues.
For example, identifying that the algorithm isn't training due to an incorrectly written objective function, plotting a training curve, checking for overfitting of the CV fold, etc.
Contributor guide
No contributing guide indexed for this repository
Research direction
No file, test, or entry point is named. Because this repository is marked deprecated and its work moved to the main TPOT project, first confirm the tutorial belongs there and review the active repository's documentation structure. The scope, examples, and completion criteria still need to be defined.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python, scikit-learn
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100