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@@ -206,11 +206,16 @@ class StrategyNorm(FeatureStrategyBase):
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from IPython import display
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max_feature_num = self.ml_config.max_feature_num
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+ filter_fast = context.get(ContextEnum.FILTER_FAST)
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f_display_title(display, "样本分布")
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display.display(metric_value_dict["样本分布"].table)
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- filter_fast = context.get(ContextEnum.FILTER_FAST)
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+ df_importance = filter_fast["detail"]
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+ df_importance = df_importance[df_importance["feature"].isin(self.x_columns)]
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+ f_display_title(display, "入模变量")
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+ display.display(df_importance)
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+
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f_display_title(display, "快速筛选过程")
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print(f"剔除变量重要性排名{max_feature_num}以后的变量")
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print(filter_fast.get("overview"))
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