EpistasisLab / EpistasisLab/tpot
Preprocessing on specific features
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Description
I see that after the TPOT optimization a preprocessor like robustScaler was selected. I wonder if it's possible that robustScaler is applied not on the entire set of features but only on a few were it makes sense. One feature may have outliers and require robustScaler(0.1, 0.9), but the other features not. Can this be considered with TPOT?
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Research direction
No file or test is named. Start by locating TPOT's preprocessing and pipeline-generation entry points, then review how scikit-learn's RobustScaler is represented; define per-feature application and parameter behavior and acceptance tests before implementation.
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Assessment
- Tech stack
- python, scikit-learn
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100