[Minsky 설치 사례]

OS는 우분투 최신 안정화 버전 설치

 

Python은 최신버전 anaconda 배포판 설치

 

추가로 필요한 python 라이브러리는 tensorflow, keras, pyodbc, openpyxl 등

 

Python IDE는 pycharm, spyder 

Spyder는 anaconda설치 시 같이 설치되므로 추가로 pycharm만 설치

apt-get install spyder

sudo add-apt-repository ppa:mystic-mirage/pycharm

sudo apt-get update

To install the community edition of PyCharm, use the command below. It will download data of around 120 MB.

sudo apt-get install pycharm-community

[ubuntu pycharm install] https://itsfoss.com/install-pycharm-ubuntu/

오피스는 리브레오피스가 디폴트로 우분투 설치 할 때 같이 설치됨.

 

그 외 서버에 붙을 클라이언트 프로그램은 어떤게 있는지 확인 필요.

 

머신러닝 서버 설치 S/W

 

1.     OS

-       우분투 16.04

2.     JDK -- maven, gradle 때문에 필요.

-       1.8

sudo add-apt-repository ppa:webupd8team/java

sudo apt update; sudo apt install oracle-java8-installer

javac -version

sudo apt install oracle-java8-set-default

3.     Python

-       3.5 이상

4.     Python library

-       Pandas : 행렬 및 자료구조 – BSD

pip install pandas

-       Numpy : 수치 배열 연산 – BSD

pip install numpy

-       Xgboost : Gradient Boosting algorithm – Apache 2.0

$ pip install xgboost

-       Sqlalchemy : ORM Mapping – MIT

$ pip install sqlalchemy

-       Scikit-learn : data mining, analysis – BSD

$ pip install -U scikit-learn

-       Requests : HTTP Support – Apache 2.0

$ pip3.4 install requests

-       PyMySQL : Maria DB Connection – MIT

$ sudo pip3 install PyMySQL

-       JayDeBeApi : JDBC Connection – LGPL

$ pip install JayDeBeApi

5.     App

-       Mariadb 10.2 이상

apt-get install software-properties-common

# apt-key adv –recv-keys –keyserver hkp://keyserver.ubuntu.com:80 0xF1656F24C74CD1D8

# apt-key adv –recv-keys –keyserver keyserver.ubuntu.com F1656F24C74CD1D8

# add-apt-repository ‘deb [arch=amd64,i386,ppc64el] http://ftp.kaist.ac.kr/mariadb/repo/10.2/ubuntu xenial main’

(apt 에 수동으로 reposiory 변경할 시  vi /etc/apt/source.list )

# deb http://archive.canonical.com/ubuntu xenial partner

deb [arch=amd64,ppc64el,i386] http://ftp.kaist.ac.kr/mariadb/repo/10.2/ubuntu xenial main

deb-src http://ftp.kaist.ac.kr/mariadb/repo/10.2/ubuntu xenial main

source 를 수정한 뒤에 변경한 repository 로 최신 패키지를 설치할 수 있도록 apt-get update를 진행합니다.

5) mariadb를 설치합니다.

apt-get  install mariadb-server

mariadb 접속시 필요한 패스워드를 입력합니다.

6) mariadb 접속에 성공하면 mariadb 설치가 완료되었습니다.

# mysql -u root -p

[원본참조] http://idchowto.com/?p=40343

-       Maven(latest)

Step 3: Install Apache Maven

You can download the latest stable version of Apache Maven from its official website, otherwise you can download it directly with the following command:

cd /opt/

wget http://www-eu.apache.org/dist/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz

Once the download has completed, extract the downloaded archive.

sudo tar -xvzf apache-maven-3.3.9-bin.tar.gz

Next, rename the extracted directory.

sudo mv apache-maven-3.3.9 maven 

Step 4: Setup environment variables

Next, you will need to setup the environment variables such as M2_HOME, M2, MAVEN_OPTS, and PATH. You can do this by creating a mavenenv.sh file inside of the /etc/profile.d/ directory.

sudo nano /etc/profile.d/mavenenv.sh

Add the following lines:

export M2_HOME=/opt/maven

export PATH=${M2_HOME}/bin:${PATH}

Save and close the file, update its permissions, then load the environment variables with the following command:

sudo chmod +x /etc/profile.d/mavenenv.sh

sudo source /etc/profile.d/mavenenv.sh

Step 5: Verify installation

Once everything has been successfully configured, check the version of the Apache Maven.

mvn --version

You should see the following output:

Apache Maven 3.3.9 (bb52d8502b132ec0a5a3f4c09453c07478323dc5; 2015-11-10T22:11:47+05:30)

Maven home: /opt/maven

Java version: 1.8.0_101, vendor: Oracle Corporation

Java home: /usr/lib/jvm/java-8-oracle/jre

Default locale: en_US, platform encoding: ANSI_X3.4-1968

OS name: "linux", version: "3.13.0-32-generic", arch: "amd64", family: "unix"

[원본참조] https://www.vultr.com/docs/how-to-install-apache-maven-on-ubuntu-16-04

-       Gradle(latest)

1. Install Gradle on Ubuntu 16.04 Manually

1.1. Prerequisites

Gradle requires Java 7 or new version. You can check by issue command:

java -version

 

1.2. Download Gradle

You can download Gradle distribution from the Gradle website. Currently, the latest release of Gradle is version 3.0.

In the following command, I will download the binary only version of Gradle:

wget https://services.gradle.org/distributions/gradle-3.0-bin.zip

 

1.3. Unpack Gradle

sudo unzip gradle-3.0-bin.zip -d /usr/local

 

This command will unpack the Gradle distribution to /usr/local/gradle-3.0. Note that we need unzip package to run the command. If there is no unzip on your machine, you can install it by typing:

sudo apt install unzip

 

Next, we will create a shortcut to that Gradle distribution:

cd /usr/local

sudo ln -s gradle-3.0 gradle

 

1.4. Create GRADLE_HOME Environment Variables.

Create a gradle.sh file at /etc/profile.d folder (you can use vi with below command)

sudo vi /etc/profile.d/gradle.sh

 

Enter the follow content to the file:

export GRADLE_HOME=/usr/local/gradle

export PATH=${GRADLE_HOME}/bin:${PATH}

 

Save the file.

We will need to activate the above environment variables. We can do that by log out and log in again or simply run below command:

source /etc/profile

 

1.5. Verify

To check if Gradle is properly installed, we just need type:

gradle -v

6.     기타

-       Keras는 2.0 버전 이상

-       Keras 1.0 버전도 필요하므로, 가상화 환경이 필요(Docker 또는 python 가상화)

-       서버에 GUI로 붙을 수 있는 클라이언트 프로그램 추천(VNC 또는 xmanager 같은)

-       교육프로그램 아젠다 추천 및 전달(교육은 설치 마무리 되는 1월 중순 정도)

$ sudo apt-get install python3-pip python3-dev

# Python2의 경우

$ pip install virtualenv

# Python3의 경우

$ pip3 install virtualenv

$ virtualenv --python=파이썬버전 가상환경이름

# ex)

# $ virtualenv --python=python3.5 py3_env

# $ virtualenv --python=python2.7 test_env2

$ source 가상환경이름/bin/activate

[원본] https://beomi.github.io/2016/12/28/HowToSetup-Virtualenv-VirtualenvWrapper/

keras 설치 정보 : 

https://www.versioneye.com/python/keras/1.0.5

pip install https://github.com/fchollet/keras/tarball/1.0.5

https://www.versioneye.com/python/keras/2.1.2

pip install https://github.com/fchollet/keras/tarball/2.1.2