I developed a machine learning model with Python (Anaconda + Flask) on my workstation and all goes well. Later, I tried to ship this program onto another machine where of course I tried to set up the same environment, but the program fails to run. I copied the program to other machines where it also runs smoothly.

I cannot figure out what the problem is in the failed case (both the program code and the error message are copious so I am not able to present them here) but I'm almost certain that it is something with the different versions of the dependencies.

So, my question is that given an environment where a certain program runs well, how can I clone it to another where it should run well also? Of course, without the cloning of the full system ;)

First of all this is a Python/Anaconda question and should probably be asked in a different stack exchange subsite.



As for the question itself - you can export your Anaconda environment using:

conda env export > environment.yml


And recreate it using:

conda env create -f environment.yml


Please note that as others suggested - you should use virtual environments which allows you to create a certain environment that is separated from that of your machine and manage it more easily.

To create a virtual environment in Anaconda you can use:

conda create -n yourenvname python=x.x anaconda


which you activate using:

source activate yourenvname

