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2018腾讯广告算法大赛baseline 线上0.73

Python 100.00%

2018-tencent-ad-competition-baseline's Introduction

项目介绍

  • 2018腾讯广告大赛baseline 100行代码带你上0.73

  • 比赛报名地址:algo.qq.com/person/mobile/landingPage?from=dsbryan Image text

  • baseline 在内存大于32g的情况下使用,挑整参数,可以上0.74

  • 线上0.74可以参考:https://pan.baidu.com/s/1o8ntpTnZITjZtwfhfIIOkg

  • 1.首先处理4个G的用户特征

  • 2.拼接用户特征,广告特征

  • 3.将单取值的离散特征使用稀疏方式one-hot

  • 4.将多取值的离散特征使用稀疏方式向量化

  • 5.线下测试

  • 6.线上提交

  • baseline_v2 16g左右内存使用,建议开启虚拟内存
  • 将训练集分片,分别训练预测,然后将预测结果求平均,大概需要15g内存

  • baseline_v3 只要能读进去数据,join完应该就能跑了
  • 每次训练重新读取的数据,这样应该8g内存就能跑了

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