![]() ![]() While I actually wanted to search on conda-forge, so I quickly press Ctrl-C, modify my command to conda search -c conda-forge dvcĪnd get to see what is the latest version of DVC on conda-forge. For example, I originally typed: conda search dvc When working, it happens every now and then that I type a command that I did not want to type, I might have forgotten to add some arguments. On my windows machine, over time I saw that my base conda environment got polluted with all kinds of pip packages, and packages that were installed with pip were sometimes not available in my active environment, even though I just had installed them WHILE the prompt indicated I was working in this project environment.Īs it turns out, the conda environment in the windows command prompt appears to be a bit of an illusion: They keyword in that assumption is should. Fortunately, using pip within a conda environment this should not be a problem, it would use the pip installed within the environment and install the pip package into the current anaconda environment. So while using conda as the main environment/package manager, it happens sometimes that some package I need is not available using conda, but only via pip. In the meantime, that might have improved, but just stuck with using conda for the environments. Although it is possible to work with just pip and things like virtualenv, especially in the beginning I often had issues trying to install certain packages under windows that required compilation steps. Run the following command to install the correct version of mlagents (v0.26.0 in my case): pip3 install mlagents=0.26.For the last couple of years, I have always turned to anaconda/miniconda for creating virtual environments with python, both under windows and linux.Windows users will need to install PyTorch pip3 install torch~=1.7.1 -f.Confirm that the environment is active by looking for “(ml-agents-r17)” on the left side of the command prompt.In my case, I ran conda activate ml-agents-r17 Follow the instructions to activate the environment.You can name it to whatever you like, I just like to give myself a hint in the future when I have multiple environments with different releases installed. This will create a new Python 3.7 environment called “ml-agents-r17” for release 17. ![]() Run the following command conda create -n ml-agents-r17 python=3.7.Open the newly installed “Anaconda Prompt” (Anaconda prompt documentation).So now we have the info we need: Release 17, ml-agents (Python) v0.26.0. Look in the table for the ml-agents (Python) release.In my case it's Release 17, which uses -agents (C#) v2.0.0, which isn't exact, but is the only 2.0.x release. Find the release with the closest match to your package version.In my case, the version I'm using is 2.0.1 Find which Package version you're using by looking in the Package Manager.This is a little tricky because they have multiple versioning systems, one for the Package Manager, and one for GitHub. The first thing you'll need to do is determine which release of ML-Agents you're working with. Once Anaconda is installed, you will need to set up a new environment for ML-Agents. Run the installer ( Anaconda installation documentation).It’s completely free and works on Windows, Mac, and Linux While there are other ways to install Python, I find that Anaconda is the easiest way to manage multiple Python environments. How to set up a Python environment for Unity ML-Agents.How to download and install Anaconda (for easy Python management). ![]()
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