FR: Factor Analysis Widget
- Dominant language
- Python
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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
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