As shown in lecture "python for computer vision with opencv and deep learning"(udemy course)I was creating a environment with yml file provided with the course. I get the following error
unsatisfiableerror: the following specifications were found to be in conflict: - mkl==2019.0=118 - mkl_random==1.0.1=py36h77b88f5_1 -> mkl[version='>=2018.0.3,<2019.0a0']use "conda info <package>" to see the dependencies for each package.
here are the 2 packages that's troubling me
mkl 2019.0 118
--------------
file name : mkl-2019.0-118.tar.bz2
name : mkl
version : 2019.0
build string: 118
build number: 118
channel : https://repo.anaconda.com/pkgs/main/win-64
size : 178.1 MB
arch : None
constrains : ()
license : proprietary - Intel
license_family: Proprietary
md5 : 90ec1f3a6ebafff38eec2d318ef8cf52
platform : None
subdir : win-64
timestamp : 1537292603098
url : https://repo.anaconda.com/pkgs/main/win-64/mkl-2019.0-118.tar.bz2
dependencies:
intel-openmp
mkl_random 1.0.1 py36h77b88f5_1
-------------------------------
file name : mkl_random-1.0.1-py36h77b88f5_1.tar.bz2
name : mkl_random
version : 1.0.1
build string: py36h77b88f5_1
build number: 1
channel : https://repo.anaconda.com/pkgs/main/win-64
size : 268 KB
arch : None
constrains : ()
license : BSD 3-Clause
md5 : a620e0e1acb966de2071824225183022
platform : None
subdir : win-64
timestamp : 1531594541407
url : https://repo.anaconda.com/pkgs/main/win-64/mkl_random-1.0.1-py36h77b88f5_1.tar.bz2
dependencies:
blas 1.0 mkl
numpy >=1.11.3,<2.0a0
python >=3.6,<3.7.0a0
vc 14.*
mkl >=2018.0.3,<2019.0a0