<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[csdnliu123的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/csdnliu123</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; csdnliu123]]></copyright><item><title><![CDATA[机器学习算法之复合算法代码实战及其解析]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/106845470</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/106845470</guid><author>csdnliu123</author><pubDate>Sat, 20 Jun 2020 22:38:59 +0800</pubDate><description><![CDATA[#导入包
import numpy as np
import matplotlib.pyplot as plt

from sklearn import datasets

#自定义数据
X,y=datasets.make_moons(random_state=41,noise=0.1,n_samples=500)

#绘制数据图形
plt.scatter(X[y==0,0],X[y==0,1],c="r")
plt.scatter(X[y==1,0],X[y==1,1],c="b")
plt.show(.]]></description><category></category></item><item><title><![CDATA[机器学习算法之KNN算法代码实战及解析]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/106845727</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/106845727</guid><author>csdnliu123</author><pubDate>Sat, 20 Jun 2020 22:33:22 +0800</pubDate><description><![CDATA[#从sklearn导入数据集
import numpy as np
from sklearn import datasets
irises=datasets.load_iris()
X_train=irises.data
y_train=irises.target

#导入模块，进行数据训练集和测试数据集的分割
from sklearn import model_selection
#train_test_split返回一个列表，有四个值，分别接受
X_train,X_test,y_train,y_tes.]]></description><category></category></item><item><title><![CDATA[机器学习算法之支持向量机代码实战及解析]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/106844118</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/106844118</guid><author>csdnliu123</author><pubDate>Sat, 20 Jun 2020 22:29:26 +0800</pubDate><description><![CDATA[import numpy as np #导入科学计算库
import matplotlib.pyplot as plt  #画图

from sklearn import datasets  #导入数据
iris=datasets.load_iris()    #导入鸢尾花数据
#获取特征数据和标签数据
X=iris.data                  #数据
y=iris.target                #标签
#进行筛选，选择标签为0和1的样本，并且特征选择前2个
X=X[y&lt.]]></description><category></category></item><item><title><![CDATA[解决报错：ImportError: No module named model_selection]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/106845419</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/106845419</guid><author>csdnliu123</author><pubDate>Thu, 18 Jun 2020 23:17:33 +0800</pubDate><description><![CDATA[from sklearn.model_selection import train_test_split
ImportError: No module named 'sklearn.model_selection'报错]]></description><category></category></item><item><title><![CDATA[PyCharm：Django框架搭建Spark开发环境]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/106630396</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/106630396</guid><author>csdnliu123</author><pubDate>Mon, 08 Jun 2020 23:06:20 +0800</pubDate><description><![CDATA[1.安装好JDK：

JDK所有人肯定都装了，这里就不细说明了。

2.安装Hadoop并配置环境变量：
hadoop下载地址：https://mirrors.tuna.tsinghua.edu.cn/apache/hadoop/common/


解压hadoop-2.8.3.tar.gz特定路径，如：D:\hadoop-2.8.3
添加系统变量HADOOP_HOME：D:\hadoop-2.8.3
在系统变量PATH中添加：D:\hadoop-2.8.3\bin
安装组件winutils：将winuti]]></description><category></category></item><item><title><![CDATA[docker pull {镜像}的时候报错：Get https://registry-1.docker.io/v2/: net/http: request canceled while waiting]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/106532452</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/106532452</guid><author>csdnliu123</author><pubDate>Wed, 03 Jun 2020 20:59:30 +0800</pubDate><description><![CDATA[docker pull image报错：Error response from daemon: Get https://registry-1.docker.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)]]></description><category></category></item><item><title><![CDATA[机器学习之沙鼠走迷宫]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105883182</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105883182</guid><author>csdnliu123</author><pubDate>Fri, 01 May 2020 21:57:15 +0800</pubDate><description><![CDATA[主函数：main.py


__author__ = 'alan'


from maze import *
from q import *


def printKey(event):
    if event.keysym == 'Left':
        maze.mouse.move_left()

    elif event.keysym == 'Right':
        m...]]></description><category></category></item><item><title><![CDATA[机器学习的主要研究领域、基本概念和相关术语的解释]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105882097</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105882097</guid><author>csdnliu123</author><pubDate>Fri, 01 May 2020 21:04:49 +0800</pubDate><description><![CDATA[1.主要研究领域：

1.1机器学习的两大学派：

机器学习：人工智能的重要分支
     构造具有学习能力的智能系统
     知识、推理、学习
     手段：统计，逻辑，代数……
统计机器学习
     从大量样本出发，运用统计方法，发现统计规律
     有监督学习、无监督学习、半监督学习
     问题：分类，聚类，回归...]]></description><category></category></item><item><title><![CDATA[sparkSql分析函数和窗口函数（rows/range）的语法及案例]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105848432</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105848432</guid><author>csdnliu123</author><pubDate>Wed, 29 Apr 2020 22:47:36 +0800</pubDate><description><![CDATA[sparkSql分析函数（rows/range）的语法及案例
 sum、max、 min、 count、 avg等聚合函数
     lead、 lag等比较函数
     rank等排名函数
2.1 rank()排名函数案例：
2.2lag() ，lead() 函数使用及案例：
4.3range()和rows()的使用及案例：
 rows/range: 窗口子句，是在分组(partition by)后，表示组内的子分组(也即窗口)，是分析函数的计算范围窗口

]]></description><category></category></item><item><title><![CDATA[单节点的kafka安装及使用及kafka的简介]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105822961</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105822961</guid><author>csdnliu123</author><pubDate>Tue, 28 Apr 2020 20:45:06 +0800</pubDate><description><![CDATA[1.zookeeper的配置：

dataDir=/tmp/zookeeper

clientPort=2181

2.kafka的配置：

broker.id=0

listeners=PLAINTEXT://spark1:9092

log.dirs=/opt/softwares/kafka_2.11-2.4.1/log

zookeeper.connect=spark1:2181/kafka...]]></description><category></category></item><item><title><![CDATA[初识Hbase：第一个Hbase程序]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105822118</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105822118</guid><author>csdnliu123</author><pubDate>Tue, 28 Apr 2020 19:45:13 +0800</pubDate><description><![CDATA[import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.*;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.util.Bytes;

p...]]></description><category></category></item><item><title><![CDATA[Hbase输入Int类型数据默认转换为字符类型的原因及缺陷]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105799081</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105799081</guid><author>csdnliu123</author><pubDate>Mon, 27 Apr 2020 20:49:45 +0800</pubDate><description><![CDATA[1.Hbase shell 中插入带int类型的数据

在Hbase的shell命令中输入插入一行value为int类型的数据

put 'hbase1','row','hb1:age',30

Hbase会将int类型数据自动转换为字符类型来存储。方便我们在shell中观察和操作。

2.在Java API中编写插入带int类型的数据

在Java API插入int型数据会保存为ASCII形式。...]]></description><category></category></item><item><title><![CDATA[Hbase的过滤器操作ValueFilter和SingleColumnValueFilter]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105798939</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105798939</guid><author>csdnliu123</author><pubDate>Mon, 27 Apr 2020 20:35:43 +0800</pubDate><description><![CDATA[1.ValueFilter：


import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.CompareOperator;
import org.apache.hadoop.hbase.HBaseConfiguration;
impor...]]></description><category></category></item><item><title><![CDATA[Hbase的CRUD和matation操作]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105798787</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105798787</guid><author>csdnliu123</author><pubDate>Mon, 27 Apr 2020 20:25:48 +0800</pubDate><description><![CDATA[import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hb...]]></description><category></category></item><item><title><![CDATA[使用Java API对Hbase进行增删改查操作]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105798629</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105798629</guid><author>csdnliu123</author><pubDate>Mon, 27 Apr 2020 20:21:41 +0800</pubDate><description><![CDATA[1.对Hbase的增加操作


import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.a...]]></description><category></category></item><item><title><![CDATA[spark连接mysql并操作数据库的增删改查]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105798060</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105798060</guid><author>csdnliu123</author><pubDate>Mon, 27 Apr 2020 20:03:30 +0800</pubDate><description><![CDATA[1.linux端启动mysql服务：

server mysqld start  启动mysql服务进程

netstat -anp | grep 3306  查看mysql服务是否启动

mysql -u root -p 使用root用户登陆mysql

输入密码即可登陆，首次登陆或者无密码，则不需要密码直接回车即可。

2.建立数据库集表

create database sp...]]></description><category></category></item><item><title><![CDATA[RDD与DataFrame与Dataset之间的关系及转换关系]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105776700</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105776700</guid><author>csdnliu123</author><pubDate>Sun, 26 Apr 2020 20:48:45 +0800</pubDate><description><![CDATA[RDD与DataFrame与Dataset之间的转换关系：




]]></description><category></category></item><item><title><![CDATA[Oracle大型数据库卸载详细步骤]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105717631</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105717631</guid><author>csdnliu123</author><pubDate>Thu, 23 Apr 2020 21:26:38 +0800</pubDate><description><![CDATA[注：Oracle数据库卸载并非单纯卸载那么简单，需要删除相关服务等

卸载步骤：

1、停服务
 在运行中键入services.msc,进入服务管理页面停止所有Oracle服务

2、删程序
 在运行中键入control，找到Oracle相关程序，卸载，建议使用360软件管理，可以比较有效的清除残留及无效快捷方式，如文件夹未删除，可手动删除文件夹

3、删除相关注册项(不要多删、误删)
...]]></description><category></category></item><item><title><![CDATA[优快云博客积分等级明细]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105693651</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105693651</guid><author>csdnliu123</author><pubDate>Wed, 22 Apr 2020 21:41:34 +0800</pubDate><description><![CDATA[一、博客积分规则：

博客积分是优快云对用户努力的认可和奖励，也是衡量博客水平的重要标准。博客等级也将由博客积分唯一决定。积分规则具体如下：

1、每发布一篇原创或者翻译文章：可获得10分；

2、每发布一篇转载文章：可获得2分；

3、博主的文章每被评论一次：可获得1分；

4、每发表一次评论：可获得1分（自己给自己评论、博主回复评论不获得积分）；

5、博文阅读次数每超过100次：可获得1分...]]></description><category></category></item><item><title><![CDATA[第一个Django项目：博客案例]]></title><link>https://blog.youkuaiyun.com/csdnliu123/article/details/105692681</link><guid>https://blog.youkuaiyun.com/csdnliu123/article/details/105692681</guid><author>csdnliu123</author><pubDate>Wed, 22 Apr 2020 21:30:56 +0800</pubDate><description><![CDATA[1.项目结构：



2.Blog.settings.py中的INSTALLED_APPS添加'index',属性值。可以搜索到index页面。

3.配置主从urls：在Blog里配置主urls，可以映射到从urls。这样配置可以方便以后的URL管理。


urlpatterns = [
    url(r'^admin/', admin.site.urls),
    url(r'^blog/...]]></description><category></category></item></channel></rss>