Tag Archives: cona The environment is inconsistent

Tensorflow Warning: cona The environment is inconsistent, please check the package plan carefully

No solution, but it does not seem to affect the use of

(py36) C:\Users\LEEG>conda install numpy
Collecting package metadata: done
Solving environment: |
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:

– https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64::anaconda==4.4.0=np112py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/win-64::astropy==1.3.2=np112py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64::blaze==0.10.1=py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/win-64::bottleneck==1.2.1=np112py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64::dask==0.14.3=py36_1
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/win-64::distributed==1.16.3=py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64::matplotlib==2.0.2=np112py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64::numba==0.33.0=np112py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/win-64::numexpr==2.6.2=np112py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64::odo==0.5.0=py36_1
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/win-64::pandas==0.20.1=np112py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/win-64::patsy==0.4.1=py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64::pytables==3.2.2=np112py36_4
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/win-64::pywavelets==0.5.2=np112py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/win-64::scikit-image==0.13.0=np112py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64::scikit-learn==0.18.1=np112py36_1
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64::scipy==0.19.0=np112py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/win-64::seaborn==0.7.1=py36_0
– https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64::statsmodels==0.8.0=np112py36_0