citup软件安装过程

citup软件安装需要conda环境

首先要将citup的安装包路径放到conda的默认channel里

conda config --add channels http://conda.anaconda.org/dranew

然后安装cplex依赖，直接安装的话也比较麻烦，因为cplex也有很多依赖，所以我们也把ceplx的channel加进去

conda config --add channels https://conda.anaconda.org/IBMDecisionOptimization/linux-6

我们看一下现在的默认channel

$ conda config --show-source
==> /home/.condarc <==
channels:
  - http://conda.anaconda.org/dranew
  - defaults
  - https://conda.anaconda.org/IBMDecisionOptimization/linux-64

然后我们就可以安装citup了

conda install citup

如果我们没有默认安装路径权限，也可以指定目录安装

conda install citup --prefix .

一般会提示我们要安装很多依赖包，而且有些依赖特别容易断，像这样

$ conda install citup --prefix ./
Fetching package metadata .................
Solving package specifications: .

Package plan for installation in environment /home/test:

The following NEW packages will be INSTALLED:

    blas:            1.0-mkl
    blosc:           1.15.0-hd408876_0
    boost_source:    1.60.0-0                dranew
    bzip2:           1.0.6-h14c3975_5
    ca-certificates: 2019.1.23-0
    certifi:         2019.3.9-py27_0
    citup:           0.1.1-py27_1            dranew
    cplex:           12.8-py27_0             IBMDecisionOptimization
    decorator:       4.4.0-py27_1
    hdf5:            1.10.4-hb1b8bf9_0
    intel-openmp:    2019.3-199
    libedit:         3.1.20181209-hc058e9b_0
    libffi:          3.2.1-hd88cf55_4
    libgcc-ng:       8.2.0-hdf63c60_1
    libgfortran-ng:  7.3.0-hdf63c60_0
    libstdcxx-ng:    8.2.0-hdf63c60_1
    lzo:             2.10-h49e0be7_2
    mkl:             2019.3-199
    mkl_fft:         1.0.12-py27ha843d7b_0
    mkl_random:      1.0.2-py27hd81dba3_0
    ncurses:         6.1-he6710b0_1
    networkx:        2.2-py27_1
    numexpr:         2.6.9-py27h9e4a6bb_0
    numpy:           1.16.3-py27h7e9f1db_0
    numpy-base:      1.16.3-py27hde5b4d6_0
    openssl:         1.1.1b-h7b6447c_1
    pandas:          0.24.2-py27he6710b0_0
    pip:             19.1.1-py27_0
    pypeliner:       0.5.0-py27h1453be2_0    dranew
    pytables:        3.5.1-py27h71ec239_0
    python:          2.7.16-h9bab390_0
    python-dateutil: 2.8.0-py27_0
    pytz:            2019.1-py_0
    readline:        7.0-h7b6447c_5
    scikit-learn:    0.20.3-py27hd81dba3_0
    scipy:           1.2.1-py27h7c811a0_0
    setuptools:      41.0.1-py27_0
    six:             1.12.0-py27_0
    snappy:          1.1.7-hbae5bb6_3
    sqlite:          3.28.0-h7b6447c_0
    tk:              8.6.8-hbc83047_0
    wheel:           0.33.2-py27_0
    zlib:            1.2.11-h7b6447c_3                              

Proceed ([y]/n)? 

其实我们只需要几个依赖就够了，可以不安装全部依赖

conda install --no-deps cplex --prefix ./
conda install --no-deps pypeliner --prefix ./conda install --no-deps hdf5 --prefix ./然后将安装后的各个路径都加入到Python的环境变量里就可以安装citup安装后就可以在lib/python2.7/site-packages路径下找到相应安装包了这里citup-0.1.0-py2.7.egg需要解压一下unzip citup-0.1.0-py2.7.eg

这样就基本完成了

$cd citup $python run_citup_iter.py -h
Traceback (most recent call last):
  File "run_citup_iter.py", line 6, in <module>
    import citup.trees
ImportError: No module named citup.trees

可能还需要在此文件夹下建一个citup文件夹，把这个文件夹下的内容拷贝一份到citup里

这样的话就安装完成了

要注意的就是Python环境变量的问题了，确保Python可以找到这些安装包

原文地址：https://www.cnblogs.com/xlij1205/p/10848917.html