EpistasisLab / EpistasisLab/tpot2

add a debugging tutorial

Open
#64 0 comments 0 reactions 0 assignees View on GitHub
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

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