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2023-kaggle-lecr-top3-traincode's Introduction

赛题链接 :

https://www.kaggle.com/competitions/learning-equality-curriculum-recommendations

1. 数据说明

  • valid_samples_1k_first.csv 文件为随机划分出来的 category != source 的 topic_id 留着做验证集

  • learning-equality-curriculum-recommendations 目录下存放官方数据集

2. 操作步骤

  • step1 代码为训练stage1 召回模型做数据准备, 将 train_flag 设为 True 和 False ,分别运行得到训练集和验证集

  • step2 代码为训练 stage1 召回模型

  • step3 代码为用召回模型对所有数据进行Top100 召回

  • step4 代码为训练stage2 精排模型准备数据,将 train_flag 设为 True 和 False ,分别运行得到训练集和验证集

  • step5 代码为训练stage2 精排二分类模型

详细 solution :

https://www.kaggle.com/competitions/learning-equality-curriculum-recommendations/discussion/394838

推理代码 :

lecr-submit-models-recall50-2ndrerank-v2.ipynb

2023-kaggle-lecr-top3-traincode's People

Contributors

syzong avatar

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