microsoft/FLAML

Document feature engineering

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#1,031 opened on May 9, 2023

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documentationhelp wanted

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Description

It seems like FLAML does some auto feature engineering for the user. It would be useful if this was documented so that I know how much or little data preprocessing I need to do before training my model.

Contributor guide

Research direction
Review FLAML's source code and existing documentation to identify and describe the automatic feature engineering steps performed by FLAML during model training. Check the code in the feature engineering module or related preprocessing steps. Provide clear examples and explanations for users.
Tech stack
python
Domain
machine learning
Issue type
Documentation
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
1
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Under 1 hour
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
90