<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Aryafung的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Aryafung</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Aryafung]]></copyright><item><title><![CDATA[hadf]]></title><link>https://blog.youkuaiyun.com/Aryafung/article/details/91353551</link><guid>https://blog.youkuaiyun.com/Aryafung/article/details/91353551</guid><author>Aryafung</author><pubDate>Sun, 09 Jun 2019 15:55:46 +0800</pubDate><description><![CDATA[hadoop两个组成部分：hdfs系统和mapreduce并行计算框架

hdfs设计架构

-块(block):固定大小的逻辑单元，hdfs的文件被分成块进行存储，默认值为64MB

-NameNode：管理节点，存放文件元数据。

（1）文件与数据块的映射表

（2）数据库与数据节点的映射表

-DataNode：工作节点，存放数据块

hdfs中文件读写的流程

读：1.客户端（java程序...]]></description><category></category></item><item><title><![CDATA[hadoop学习]]></title><link>https://blog.youkuaiyun.com/Aryafung/article/details/91353250</link><guid>https://blog.youkuaiyun.com/Aryafung/article/details/91353250</guid><author>Aryafung</author><pubDate>Sun, 09 Jun 2019 15:35:19 +0800</pubDate><description><![CDATA[1.下载安装包

2.修改配置文件：~/conf/路径下

core-site.xml\ hdfs-site.xml\ mapred-site.xml\hadoop-env.sh

(1) hadoop-env.sh

更新JAVA_HOME，JAVA安装目录:export JAVA_HOME=/usr/java/jdk1.8.0_144

(2) core-site.xml

配置hadoop...]]></description><category></category></item><item><title><![CDATA[机器学习xgboost]]></title><link>https://blog.youkuaiyun.com/Aryafung/article/details/83004999</link><guid>https://blog.youkuaiyun.com/Aryafung/article/details/83004999</guid><author>Aryafung</author><pubDate>Wed, 10 Oct 2018 23:20:05 +0800</pubDate><description><![CDATA[机器学习都是通过误差来进行调整网络算全部当前训练的全部样本误差

还有正则项误差？为什么要优化正则项

约束或者限制要优化的参数：使参数的变化幅度较小，因此可以避免过拟合。...]]></description><category></category></item><item><title><![CDATA[FM model]]></title><link>https://blog.youkuaiyun.com/Aryafung/article/details/82805579</link><guid>https://blog.youkuaiyun.com/Aryafung/article/details/82805579</guid><author>Aryafung</author><pubDate>Fri, 21 Sep 2018 20:25:16 +0800</pubDate><description><![CDATA[low-or high- order feature interaction or feature engineering

主要为了学习到特征之间的交互 端到端的训练

DeepFM：field：gender，location and continuous field

FM component and deep component

 

激活函数非线性转换

 

WideDeep wide...]]></description><category></category></item><item><title><![CDATA[qwai学习记录]]></title><link>https://blog.youkuaiyun.com/Aryafung/article/details/82494440</link><guid>https://blog.youkuaiyun.com/Aryafung/article/details/82494440</guid><author>Aryafung</author><pubDate>Fri, 07 Sep 2018 12:54:56 +0800</pubDate><description><![CDATA[Thompson sampling介绍



贝叶斯学派对CTR的预估为





以上是对ctr做平滑项的依据。

 

model_retrieval的时候要进行选择的过程CTR, SVR, LTR, FTR, WTR, CMTR和VTR，



...]]></description><category></category></item><item><title><![CDATA[BPR算法理解]]></title><link>https://blog.youkuaiyun.com/Aryafung/article/details/82461983</link><guid>https://blog.youkuaiyun.com/Aryafung/article/details/82461983</guid><author>Aryafung</author><pubDate>Thu, 06 Sep 2018 15:26:16 +0800</pubDate><description><![CDATA[BPR推荐ranking算法

BPR通过向量之间的点积判断向量之间的相似性：点积越大，向量之间投影越大，表示两个向量越接近。

 ]]></description><category></category></item></channel></rss>