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Last pushed: 2 years ago
Short Description
Python image for complex network optimizaton
Full Description

Numpy+Scipy+Networkx+pyopt

First, you need to clone one of the EXPLORA-DANCE project repositories. This is the basic step. The code location has to be provided in the code volume.

Also, you need the base graphs that are used in the experiments and put them in the data directory.We plan on embedding this graph files into the image but for the time being, you need to provide them as an external volume.

Finally, you should create a third volume for collecting the results. Then, run the container as:

docker run -v /path/to/code/:/home/code/ -v /path/to/data/:/home/data/ -v /path/to/results/:/home/results/ -it edelahozuah/networkx launch_experiments.py

After finishing, you can collect the results from /path/to/results

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edelahozuah

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