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CentOS 7 离线搭建 Python 3.8.5 机器学习环境

发布于2021-07-25 06:33 阅读(854) 评论(0) 点赞(4) 收藏(3)

在很多生产环境是禁止访问外网的，yum和pip虽然很香，但是没了网就废了，只能手动编译安装各种依赖包。

0、假设gcc和g++已安装好（最基础的编译环境）

#查看C和C++编译器的版本
gcc --version
g++ --version

1、需要准备如下安装包，并上传到服务器

offlinePackage/
├── python(16)
│   ├── Cython-0.29.24-cp38-cp38-manylinux1_x86_64.whl
│   ├── future-0.18.2.tar.gz
│   ├── joblib-1.0.1-py3-none-any.whl
│   ├── numpy-1.19.5-cp38-cp38-manylinux1_x86_64.whl
│   ├── pandas-1.2.3-cp38-cp38-manylinux1_x86_64.whl
│   ├── pipdeptree-2.0.0-py3-none-any.whl
│   ├── PyHive-0.6.4.tar.gz
│   ├── Python-3.8.5.tgz
│   ├── python_dateutil-2.8.2-py2.py3-none-any.whl
│   ├── pytz-2021.1-py2.py3-none-any.whl
│   ├── scikit_learn-0.23.2-cp38-cp38-manylinux1_x86_64.whl
│   ├── scipy-1.5.4-cp38-cp38-manylinux1_x86_64.whl
│   ├── six-1.16.0-py2.py3-none-any.whl
│   ├── threadpoolctl-2.2.0-py3-none-any.whl
│   ├── thrift-0.13.0.tar.gz
│   └── xgboost-1.3.3-py3-none-manylinux2010_x86_64.whl
└── rpm(11)
    ├── bzip2-1.0.6-13.el7.x86_64.rpm
    ├── bzip2-devel-1.0.6-13.el7.x86_64.rpm
    ├── bzip2-libs-1.0.6-13.el7.x86_64.rpm
    ├── libffi-3.0.13-19.el7.x86_64.rpm
    ├── libffi-devel-3.0.13-19.el7.x86_64.rpm
    ├── python-backports-1.0-8.el7.x86_64.rpm
    ├── python-backports-lzma-0.0.2-9.el7.x86_64.rpm
    ├── xz-devel-5.2.2-1.el7.x86_64.rpm
    ├── zlib-1.2.7-18.el7.x86_64.rpm
    ├── zlib-devel-1.2.7-18.el7.x86_64.rpm
    └── zlib-static-1.2.7-18.el7.x86_64.rpm

A、下载RPM包

#libffi
wget http://mirror.centos.org/centos/7/os/x86_64/Packages/libffi-3.0.13-19.el7.x86_64.rpm
wget http://mirror.centos.org/centos/7/os/x86_64/Packages/libffi-devel-3.0.13-19.el7.x86_64.rpm
#zlib
wget http://mirror.centos.org/centos/7/os/x86_64/Packages/zlib-1.2.7-18.el7.x86_64.rpm
wget http://mirror.centos.org/centos/7/os/x86_64/Packages/zlib-devel-1.2.7-18.el7.x86_64.rpm
wget http://mirror.centos.org/centos/7/os/x86_64/Packages/zlib-static-1.2.7-18.el7.x86_64.rpm
#bzip2
wget http://mirror.centos.org/centos/7/os/x86_64/Packages/bzip2-1.0.6-13.el7.x86_64.rpm
wget http://mirror.centos.org/centos/7/os/x86_64/Packages/bzip2-libs-1.0.6-13.el7.x86_64.rpm
wget http://mirror.centos.org/centos/7/os/x86_64/Packages/bzip2-devel-1.0.6-13.el7.x86_64.rpm
#python-backports-lzma
wget http://mirror.centos.org/centos/7/os/x86_64/Packages/python-backports-1.0-8.el7.x86_64.rpm
wget http://mirror.centos.org/centos/7/extras/x86_64/Packages/python-backports-lzma-0.0.2-9.el7.x86_64.rpm
#xz-devel
wget http://mirror.centos.org/centos/7/os/x86_64/Packages/xz-devel-5.2.2-1.el7.x86_64.rpm

B、下载Python包

#Python==3.85
wget https://www.python.org/ftp/python/3.8.5/Python-3.8.5.tgz
#Cython==0.29.24
wget https://files.pythonhosted.org/packages/aa/eb/9f453315a0702349fff2147f88e2a147035168f152c03684e94b90ed17ec/Cython-0.29.24-cp38-cp38-manylinux1_x86_64.whl
#pipdeptree==2.0.0
wget https://files.pythonhosted.org/packages/fa/22/8f1350b55e4297670813815142425b58829036197f0b4a0fc8f543928717/pipdeptree-2.0.0-py3-none-any.whl
#six==1.16.0
wget https://files.pythonhosted.org/packages/d9/5a/e7c31adbe875f2abbb91bd84cf2dc52d792b5a01506781dbcf25c91daf11/six-1.16.0-py2.py3-none-any.whl
#thrift==0.13.0
wget https://files.pythonhosted.org/packages/97/1e/3284d19d7be99305eda145b8aa46b0c33244e4a496ec66440dac19f8274d/thrift-0.13.0.tar.gz
#python-dateutil==2.8.2
wget https://files.pythonhosted.org/packages/36/7a/87837f39d0296e723bb9b62bbb257d0355c7f6128853c78955f57342a56d/python_dateutil-2.8.2-py2.py3-none-any.whl
#numpy==1.19.5
wget https://files.pythonhosted.org/packages/21/da/4a59e01f8fff4281a068e90868edd62253c1431a1b7315fe6789f8a0d9c0/numpy-1.19.5-cp38-cp38-manylinux1_x86_64.whl
#pytz==2021.1
wget https://files.pythonhosted.org/packages/70/94/784178ca5dd892a98f113cdd923372024dc04b8d40abe77ca76b5fb90ca6/pytz-2021.1-py2.py3-none-any.whl
#pandas==1.2.3
wget https://files.pythonhosted.org/packages/e3/a8/11b157725988409063dff720be51b4dcca2260f2cc4547853172c9b4e6ec/pandas-1.2.3-cp38-cp38-manylinux1_x86_64.whl
#future==0.18.2
wget https://files.pythonhosted.org/packages/45/0b/38b06fd9b92dc2b68d58b75f900e97884c45bedd2ff83203d933cf5851c9/future-0.18.2.tar.gz
#PyHive==0.6.4
wget https://files.pythonhosted.org/packages/7a/3b/379563ead1d431b946d5d20b8c3b960c318581926702040931aaa2d5cf28/PyHive-0.6.4.tar.gz
#scipy==1.5.4
wget https://files.pythonhosted.org/packages/ab/a3/4e10c6091f6b17267e23a6de77c05241834fb3a1ec6ad655b566a6ea1d82/scipy-1.5.4-cp38-cp38-manylinux1_x86_64.whl
#xgboost==1.3.3
wget https://files.pythonhosted.org/packages/2e/57/bf5026701c384decd2b995eb39d86587a103ba4eb26f8a9b1811db0896d3/xgboost-1.3.3-py3-none-manylinux2010_x86_64.whl
#joblib==1.0.1
wget https://files.pythonhosted.org/packages/55/85/70c6602b078bd9e6f3da4f467047e906525c355a4dacd4f71b97a35d9897/joblib-1.0.1-py3-none-any.whl
#threadpoolctl==2.2.0
wget https://files.pythonhosted.org/packages/c6/e8/c216b9b60cbba4642d3ca1bae7a53daa0c24426f662e0e3ce3dc7f6caeaa/threadpoolctl-2.2.0-py3-none-any.whl
#scikit-learn==0.23.2
wget https://files.pythonhosted.org/packages/7f/c1/e19f767594035028b6ab88010742300ce5fcbdfeff051fc9afffcbebf644/scikit_learn-0.23.2-cp38-cp38-manylinux1_x86_64.whl

2、安装rpm依赖包(需root权限)

#查询若无则安装libffi-devel
rpm -qa|grep libffi-devel
sudo rpm -ivh libffi-devel-3.0.13-19.el7.x86_64.rpm
#若libffi版本比较低，则需要先升级一下
sudo rpm -Uvh libffi-3.0.13-19.el7.x86_64.rpm

#查询若无则安装zlib-devel
rpm -qa|grep zlib-devel
sudo rpm -ivh zlib-devel-1.2.7-18.el7.x86_64.rpm

#查询若无则安装zlib-static
rpm -qa|grep zlib-static
sudo rpm -ivh zlib-static-1.2.7-18.el7.x86_64.rpm
#若zlib和zlib-devel都已安装好，但版本较低，则需要升级一下，需要用一条命令同时升级，因为循环依赖
rpm -Uvh zlib-1.2.7-18.el7.x86_64.rpm zlib-devel-1.2.7-18.el7.x86_64.rpm 

#升级或安装bzip2
rpm -Uvh bzip2-1.0.6-13.el7.x86_64.rpm
rpm -Uvh bzip2-libs-1.0.6-13.el7.x86_64.rpm
rpm -Uvh bzip2-devel-1.0.6-13.el7.x86_64.rpm

#安装python-backports
rpm -Uvh python-backports-1.0-8.el7.x86_64.rpm
rpm -Uvh python-backports-lzma-0.0.2-9.el7.x86_64.rpm

#安装zx
rpm -Uvh xz-devel-5.2.2-1.el7.x86_64.rpm

3、安装Python 3.8.5

tar -zxvf Python-3.8.5.tgz
cd Python-3.8.5
./configure --prefix=/home/lq/python3 --with-ssl
make && make install
#配置python3
#vi ~/.bash_profile
PATH=$PATH:$HOME/.local/bin:$HOME/bin:/home/lq/python3/bin
source ~/.bash_profile
#查看python版本和pip版本
python3 -V
pip3 -V
#查看已安装的python包
pip3 list

4、按顺序安装Python包

pip3 install Cython-0.29.24-cp38-cp38-manylinux1_x86_64.whl
pip3 install pipdeptree-2.0.0-py3-none-any.whl
pip3 install six-1.16.0-py2.py3-none-any.whl
pip3 install python_dateutil-2.8.2-py2.py3-none-any.whl
pip3 install numpy-1.19.5-cp38-cp38-manylinux1_x86_64.whl
pip3 install pytz-2021.1-py2.py3-none-any.whl
pip3 install pandas-1.2.3-cp38-cp38-manylinux1_x86_64.whl

tar -zxvf thrift-0.13.0.tar.gz
cd thrift-0.13.0 && python3 setup.py install && cd ..

tar -zxvf future-0.18.2.tar.gz
cd future-0.18.2 && python3 setup.py install && cd ..

tar -zxvf PyHive-0.6.4.tar.gz
cd PyHive-0.6.4 && python3 setup.py install && cd ..

pip3 install scipy-1.5.4-cp38-cp38-manylinux1_x86_64.whl
pip3 install xgboost-1.3.3-py3-none-manylinux2010_x86_64.whl
pip3 install joblib-1.0.1-py3-none-any.whl
pip3 install threadpoolctl-2.2.0-py3-none-any.whl
pip3 install scikit_learn-0.23.2-cp38-cp38-manylinux1_x86_64.whl

5、查看Python包的依赖关系树

#查看依赖树
pipdeptree

Cython==0.29.24
pandas==1.2.3
  - numpy [required: >=1.16.5, installed: 1.19.5]
  - python-dateutil [required: >=2.7.3, installed: 2.8.2]
    - six [required: >=1.5, installed: 1.16.0]
  - pytz [required: >=2017.3, installed: 2021.1]
pipdeptree==2.0.0
  - pip [required: >=6.0.0, installed: 21.1.3]
PyHive==0.6.4
  - future [required: Any, installed: 0.18.2]
  - python-dateutil [required: Any, installed: 2.8.2]
    - six [required: >=1.5, installed: 1.16.0]
scikit-learn==0.23.2
  - joblib [required: >=0.11, installed: 1.0.1]
  - numpy [required: >=1.13.3, installed: 1.19.5]
  - scipy [required: >=0.19.1, installed: 1.5.4]
    - numpy [required: >=1.14.5, installed: 1.19.5]
  - threadpoolctl [required: >=2.0.0, installed: 2.2.0]
setuptools==47.1.0
xgboost==1.3.3
  - numpy [required: Any, installed: 1.19.5]
  - scipy [required: Any, installed: 1.5.4]
    - numpy [required: >=1.14.5, installed: 1.19.5]

6、安装好不一定是真的好，还需要导入验证

import Cython
import future
import joblib
import numpy
import pandas
import pipdeptree
import pyhive
import dateutil
import pytz
import sklearn
import scipy
import six
import threadpoolctl
import thrift