youchounobb / ijcai-18-top2-single-mole-solution Goto Github PK
View Code? Open in Web Editor NEW复赛第二名单模型方案,没有特征选择没有调参LGB单模型857个特征
复赛第二名单模型方案,没有特征选择没有调参LGB单模型857个特征
耀神, user['user_7days_cvr']=(user['user_buy'])/(user['user_cnt']+3)
你这行能直接平滑吗,还是怎么弄的?
在 cross_feature.py 中,我看线下训练集竟然是以第七天需要预测的样本左连接提取出来的前7天的特征,而且是以 instance_id 连接,难道第七天的 instance_id 还和前面六天的有一样的id 么?不明白这是为什么。
data = add(train,[query, leak, day6_cvr, days7_cvr,
day6_rank, days7_rank, comp, nobuy, trend, full,day6, days7, var
])
data.to_csv('../data/final_base.csv',index=False)
base = pd.read_csv('../data/final_base.csv')
cross=base[['hour48', 'hour', 'user_id','query1','query','is_trade','day','item_category_list',
'instance_id', 'item_property_list', 'context_id', 'context_timestamp', 'predict_category_property']]
features=off_test_split(base)
这里的train 是第七天需要预测的样本,而后面的特征都是以前提取好的前面7天或者第6天的,为啥可以连接起来,传递给off_test_split 线下训练的我想应该是前面7天的样本啊,这里我就不明白了,你传递的是第7天要预测的,而在off_test_split里面又是 data = org[org.is_trade >-1], 这个时候的org 压根都没得 is_trade>-1的样本吧。
难道不是 org 连接,这样后面的做链接才有公共的 instance_id 啊,真的不太明白
data = add(org,[query, leak, day6_cvr, days7_cvr,
day6_rank, days7_rank, comp, nobuy, trend, full,day6, days7, var
])
id 类特征重编码,直接当作特征,树模型深度设置-1,避免了 onehot 大量占用内存空间,实际效果和 onehot 相当。
耀神,请问你经验分享里上面这句话怎么理解,为什么重新编码后就可以达到one hot的效果?
pd.merge(data,property_feature(data),on='instance_id',how='left') #拆分属性
这行代码执行完了以后 data里面的 top字段都是: 'top1_x', 'top2_x','top3_x', 'top4_x', 'top5_x', 'top10_x', 'top1_y', 'top2_y', 'top3_y','top4_y', 'top5_y', 'top10_y'],
data=encode(data) 里面获取不到 "top1" 报错
如题,预测的时候,只能拿到当前搜索之前的行为,next系列的特征,预测的时候是怎么使用的?
数据集链接失效,能否给一份新的链接,谢谢!
之前没看到这个比赛,现在官网没办法下载了
你好,最近在学习数据挖掘相关的知识,想学一下您的代码,代码讲解链接失效了,能重新发一份吗
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.