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Update app.py
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app.py
CHANGED
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@@ -575,7 +575,6 @@ def run_pipeline(
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log(f" ✅ {n_classes} 分类 — 数据验证通过")
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label_map = {c: i for i, c in enumerate(classes)}
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label_map_inv = {i: c for c, i in label_map.items()}
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y_mapped = y.map(label_map)
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class_indices = list(range(n_classes))
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@@ -1114,7 +1113,6 @@ def run_pipeline(
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ax.legend(loc='lower right',fontsize=11); ax.grid(True,alpha=0.15); plt.tight_layout()
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plt.savefig(os.path.join(rf,f'roc_train_vs_cv_{best_mn}.pdf'),
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format='pdf',bbox_inches='tight',dpi=300)
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format='png',bbox_inches='tight',dpi=150)
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plt.close()
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# ── PR:同上 ──
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@@ -1132,7 +1130,6 @@ def run_pipeline(
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ax.legend(loc='lower left',fontsize=11); ax.grid(True,alpha=0.15); plt.tight_layout()
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plt.savefig(os.path.join(rf,f'pr_train_vs_cv_{best_mn}.pdf'),
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format='pdf',bbox_inches='tight',dpi=300)
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format='png',bbox_inches='tight',dpi=150)
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plt.close()
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# In-sample 混淆矩阵(过拟合参考)
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log(f" ✅ {n_classes} 分类 — 数据验证通过")
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label_map = {c: i for i, c in enumerate(classes)}
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y_mapped = y.map(label_map)
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class_indices = list(range(n_classes))
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ax.legend(loc='lower right',fontsize=11); ax.grid(True,alpha=0.15); plt.tight_layout()
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plt.savefig(os.path.join(rf,f'roc_train_vs_cv_{best_mn}.pdf'),
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format='pdf',bbox_inches='tight',dpi=300)
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plt.close()
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# ── PR:同上 ──
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ax.legend(loc='lower left',fontsize=11); ax.grid(True,alpha=0.15); plt.tight_layout()
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plt.savefig(os.path.join(rf,f'pr_train_vs_cv_{best_mn}.pdf'),
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format='pdf',bbox_inches='tight',dpi=300)
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plt.close()
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# In-sample 混淆矩阵(过拟合参考)
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