EpistasisLab / EpistasisLab/tpot

Question about Feature importance

Open
#1,140 2 comments 0 reactions 0 assignees View on GitHub
question
Dominant language
Jupyter Notebook
Stars
10.1k
Forks
1.6k
PR merge metrics
No merged PRs in 30d

Description

Tpot is an excellent project for beginners to get started quickly. However, I encountered some problems when I explored the features importance_ in classification tasks after I output the pipline.
For example:
BernoulliNB' object has no attribute 'feature_importances_
SGDClassifier' object has no attribute 'feature_importances_
I would like to ask, how to solve this problem? Which classifiers are not supported by Tpot in feature extraction?
Looking forward to your reply!

Contributor guide

No contributing guide indexed for this repository

Research direction

The issue names BernoulliNB, SGDClassifier, and the feature_importances_ attribute, but no file or test is identified. Start by reproducing the generated classification pipeline with those classifiers and trace where feature importance is expected; done should clarify which classifiers are supported and how users should handle unsupported ones.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, scikit-learn
Domain
machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.