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Home Page: https://github.com/wzhe06/SparkCTR
License: Apache License 2.0
CTR prediction model based on spark(LR, GBDT, DNN)
Home Page: https://github.com/wzhe06/SparkCTR
License: Apache License 2.0
对于我们的数据,在保持正负样本平衡的情况下,fm能够好于lr,但是在大量测试(意味着有大量没有见过的负样本)的情况下,lr反而超出fm几个点,请问您能否给出意见
您好,
我是scala spark的新手。刚git clone 下了CTRmodel的source code。我想要run 不同的example function(LR, GBDT, NN etc.),看到README上面的usage是说"After dependencies are imported by maven automatically, you can simple run the example function"。请问这个具体怎么做?
谢谢
你好,我用mvn install
打包完成后,找不到class.
生成的jar文件只有4K,用反编译工具打开后,只有如下目录结果
-META-INF
--maven/com.ggstar/CTRmodel
---pom.properties
---pom.xml
--MANIFEST.MF
请问这是什么原因,谢谢。
val instr = Instrumentation.create(this, oldDataset) instr.logParams(params: _*) instr.logNumFeatures(numFeatures) instr.logNumClasses(2)
spark 2.3.2,官方文档地址:http://spark.apache.org/docs/2.3.2/api/scala/index.html,并没有这几个类可以用
非常感谢如此全面而具体的实现,我在idea导入项目并安装完成依赖之后运行modelselectionExample显示如下错误,请问是什么问题
错误: 找不到或无法加载主类 com.ggstar.example.ModelSelection
原因: java.lang.ClassNotFoundException: com.ggstar.example.ModelSelection
Process finished with exit code 1
比如有user有1000W,item有1000W,那么要有 1000W*1000W = 1000000亿 的特征数据?
您好,请问能提供一下samples.snappy.orc文件吗,谢谢!
GBDT+LR怎么没有实现啊
这套框架能支持多少特征,多大的模型?
谢谢。
请问测试数据是哪一份,之前没有搞过ctr,不知道对应什么经典数据集?
请问LZ能否展示一下9种不同CTR models的performance?就是基于当前的训练,测试集,PR curve 和 ROC curve 的AUC值?有没有哪种model会明显优于其他的models?
从您公众号来,测试数据有吗?
首先非常感谢将论文和模型整理的这么详细,正在研读中,如题,ctr一般不就是将用户特征向量item特征向量和上下文特征concat后输入模型的吗?
Parameter Server架构还是All Reduce架构?
CPU还是GPU?
有没有开源代码参考?
用不用改TensorFlow源码?
性价比最高的方案是?
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