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@@ -1,6 +1,6 @@
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# 1. make_data.sh (生成特征数据)
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# 2. stat_freq.sh (统计特征频次，过滤低频特征)
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# 3. pipline/make_train_sample.sh(生成训练数据，使用过滤低频的特征文件)
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-# 4. pipline/train_xgb_model.sh (训练模型)
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-# 5. pipline/xgb_model_eval.sh (评估模型)
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-# 6. pipline/eval_qq.sh (生成qq)
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+# 4. pipline/train_xgb_model.sh ([训练模型](https://git.yishihui.com/algorithm/recommend-model/src/feature/jch))
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+# 5. pipline/xgb_model_eval.sh ([评估模型](https://git.yishihui.com/algorithm/recommend-model/src/feature/jch))
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+# 6. pipline/eval_qq.sh ([生成qq](https://git.yishihui.com/algorithm/recommend-model/src/feature/jch))
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jch