biolab / biolab/orange3

FR: Factor Analysis Widget

Open
#5,762 4 comments 0 reactions 0 assignees View on GitHub
potential student project wish
Dominant language
Python
Stars
5.7k
Forks
1.1k
Avg merge
12d 2h
Merged PRs (30d)
1

Description

Thank you for all your work on this project!

I could not find FA Widget in your catalog [1]. If not there, are there any plans to implement it? As you may know, sklearn already has it [2][3][4]. Thank you in advance for your consideration. Kind regards.

[1] Orange Data Mining - Widget catalog
https://orangedatamining.com/widget-catalog/

[2] sklearn.decomposition.FactorAnalysis — scikit-learn 1.0.2 documentation
https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.FactorAnalysis.html

[3] Factor Analysis (with rotation) to visualize patterns — scikit-learn 1.0.2 documentation
https://scikit-learn.org/stable/auto_examples/decomposition/plot_varimax_fa.html

[4] Model selection with Probabilistic PCA and Factor Analysis (FA) — scikit-learn 1.0.2 documentation
https://scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_fa_model_selection.html

Contributor guide

Open the contributing guide

Research direction

Start by reviewing the Orange widget catalog and the linked scikit-learn FactorAnalysis documentation and examples. Confirm with maintainers what the widget should expose, including rotation and visualization expectations. Done means a Factor Analysis widget is implemented and appears in the catalog, with agreed behavior documented and tested.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, scikit-learn
Domain
data-visualization, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.