newbieQQ
a7e95141d2
- Introduced `visualize.py` to generate various visualizations including: - Class distribution bar chart - Feature distribution histograms (overlaid by class) - Feature box plots (for top N features) - PCA reduced scatter plot with confidence ellipses - t-SNE reduced scatter plot - Heatmaps for class means and standard deviations - Global feature correlation heatmap - Overview of global feature distributions - Implemented data loading functions to handle multiple file formats and structures. - Added command-line interface for flexible usage with options for feature limits and PCA/t-SNE toggles. Co-authored-by: Copilot <copilot@github.com> |
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| .. | ||
| catplus | ||
| check_data.py | ||
| test.py | ||
| visualize.py | ||