anaconda create environment from yaml file

#Anaconda create environment from yaml file how to#

Note that at the time of this writing doing conda env create -file environment.yml to create the yml env results in an error: $ conda env create -file environment. Prefix: /home/miranda9/miniconda3/envs/myenv It is the only way I know manually add each of these libraries but it is very hard to do this list.

I want to install list of libraries into this tensorflow environment. I already have tensorflow environment in conda. When you install a package online, the package manager conda analyzes the package dependencies and install all the required packages for you. Dependency.A package depends on other packages.

#Anaconda create environment from yaml file how to#

pytorch=1.7.1=p圓.8_cuda11.0.221_cudnn8.0.5_0 I would like to know how to install python libraries using yml file without making a new environment. Short answer: copy the whole environment from another machine with the same OS. Replace environment.yml with the path to your YAML file. In this command, -f specifies the file to use. Here’s how you do it: conda env create -f environment.yml. importlib-metadata=3.10.0=p圓8h06a4308_0 Once you have your YAML file, you can create the Anaconda environment using the conda env create command. No need to run pip freeze > requirements4pip.txt separately for me or include it as a - pip: If you want to do it automatically it seems that if you do: conda env export > environment.ymlĪlready has the pip things you need. Creating an environment from an environment.