newbieQQ a7e95141d2 feat: add data visualization script for comprehensive analysis ... - 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>		2026-05-14 10:27:32 +08:00
..
__init__.py	refactor: unify module structure and suppress training warnings	2026-03-29 12:48:41 +08:00
divSet.py	refactor: unify module structure and suppress training warnings	2026-03-29 12:48:41 +08:00
loadData.py	feat: remove fileClass parameter, always use xls/xlsx/csv	2026-03-29 13:34:45 +08:00
saveToXlsx.py	feat: add data visualization script for comprehensive analysis	2026-05-14 10:27:32 +08:00