默认的Graphlab Install可执行文件失败后,我现在正尝试使用命令提示符安装Graphlab。有关如何执行此操作的分步教程,请here。
运行线路时
conda create -n gl-env python=2.7 anaconda=4.0.0
我收到以下错误:
Using Anaconda Cloud api site https://api.anaconda.org
Fetching package metadata: ....
Solving package specifications: .
Error: Dependencies missing in current win-64 channels:
- anaconda 4.0|4.0.0* -> scipy 0.17.0 np110py27_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> numpy 1.10.4 py35_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> scipy 0.17.0 np110py34_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> scikit-learn 0.17.1 np110py27_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> numexpr 2.5 np110py35_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> scikit-learn 0.17.1 np110py34_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py35_2 -> numexpr 2.5* -> numpy 1.11* -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py34_2 -> numexpr 2.5* -> numpy 1.11* -> blas * mkl
- anaconda 4.0|4.0.0* -> scipy 0.17.0 np110py35_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py27_2 -> numexpr 2.5* -> numpy 1.11* -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py35_2 -> numexpr 2.5* -> blas * mkl
- anaconda 4.0|4.0.0* -> numpy 1.10.4 py34_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> numexpr 2.5 np110py34_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> numpy 1.10.4 py27_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> scikit-learn 0.17.1 np110py35_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py27_2 -> numexpr 2.5* -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py34_2 -> numexpr 2.5* -> blas * mkl
- anaconda 4.0|4.0.0* -> numexpr 2.5 np110py27_0 -> blas * mkl
You can search for this package on anaconda.org with
anaconda search -t conda blas * mkl
但是,当我遵循建议并运行最后一行时,出现以下错误:
usage: anaconda-script.py [-h] [--show-traceback] [--hide-traceback] [-v] [-q]
[--color] [--no-color] [-V] [-t TOKEN] [-s SITE]
...
anaconda-script.py: error: unrecognized arguments: * mkl
我似乎无法在线找到针对此问题的任何修复程序。有谁知道如何解决?
答案 0 :(得分:1)
您可以运行命令“ conda install -c bioninja mkl”,然后“ conda create -n gl-env python = 2.7 anaconda”。
答案 1 :(得分:1)
conda update pip
它对我有用,摘自similar question.