Ubuntu安装机器学习环境步骤

一、Ubuntu环境下安装步骤

1.安装anaconda

  首先下载anaconda,清华镜像:https://repo.continuum.io/archive/

(1)

cd 下载(安装包所在位置)

    bash Anaconda3-5.2.0-Linux-x86_64.sh (anaconda的文件名)

(2)设置python的默认版本为新安装的版本

    sudo gedit ~/.bsdhrc

    添加语句:export PATH=”/home/Hadoop/anaconda3/bin:$PATH”,保存

    source ~/.bashrc

或者使用:

    echo 'export PATH="/home/user/anaconda3/bin:$PATH"' >> ~/.bashrc

    source ~/.bashrc

2.安装虚拟环境

(1)创建虚拟环境

    conda create --name gymlab python=3.5

(2)激活环境

    source activate gymlab

(3)停止使用环境

    source deactivate

3.安装gym

(1)安装git

    sudo apt install git

    失败,试一试:sudo apt-get update

    sudo apt-get install git

(2)克隆到git

    git clone https://github.com/openai/gym.git
(3)进入gym文件夹
    cd gym
(4)完全安装
    pip install -e ‘.[all]'(如果出错查看提示命令)
    pip install --upgrade setuptools
    pip install numpy Matplotlib
    pip install opencv-python
(5)配置环境变量
    echo 'export PYTHONPATH="home/user/gym:$PATHNONPATH"' >>~/.bashrc
4.安装mujoco-py
    cd mujoco-py
    cp requirements.txt requirements.dev.txt mujoco_py
    cd mujoco_py
    pip3 install -r requirements.txt
    pip3 install -r requirements.dev.txt
5.安装mujoco
    ip3 install -U 'mujoco-py<1.50.2,>=1.50.1' 
 
    git clone https://github.com/openai/mujoco-py  
    cd mujoco-py  
    pip install -e . --no-cache  
6.安装TensorFlow
(1)安装tensorflow
pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.1-cp35-cp35m-linux_x86_64.whl
(2)配置环境变量
    sudo gedit ~/.bashrc
    export PYTHONPATH="/home/user/gym:$PYTHONPATH"
    source ~/.bashrc
7.测试(首先激活gymlab)
    source activate gymlab
测试代码:
env=gym.make('CartPole-v0')
env.reset()
env.render()

posted on 2019-07-30 10:52  一抹阳光~绚烂  阅读(423)  评论(0)    收藏  举报

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