rhayes777
Visualise models as graphs
Visualise model and prior relationships using a graph. Also visualise factor and variable relationships using a graph.
I had set up some code for visualising FactorGraphs
- https://github.com/rhayes777/PyAutoFit/blob/ae791e2704cab52bad36d868033fd24512333e1d/autofit/graphical/factor_graphs/graph.py#L344-L485
Yeah I recall although wasn't it a bit fiddly to get a clear graph?
On Thu, 6 Jul 2023, 16:40 Matthew Griffiths, @.***> wrote:
I had set up some code for visualising FactorGraphs
https://github.com/rhayes777/PyAutoFit/blob/ae791e2704cab52bad36d868033fd24512333e1d/autofit/graphical/factor_graphs/graph.py#L344-L485
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Yeah, perhaps something like pyvis could be nice - https://towardsdatascience.com/pyvis-visualize-interactive-network-graphs-in-python-77e059791f01
Yeah that looks nice
On Thu, 6 Jul 2023, 17:07 Matthew Griffiths, @.***> wrote:
Yeah, perhaps something like pyvis could be nice - https://towardsdatascience.com/pyvis-visualize-interactive-network-graphs-in-python-77e059791f01
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The first steps towards this are here: https://github.com/rhayes777/PyAutoFit/pull/923
I have put up a number of issues which aim to make model text output more concnise:
https://github.com/rhayes777/PyAutoFit/issues/925 https://github.com/rhayes777/PyAutoFit/issues/926 https://github.com/rhayes777/PyAutoFit/issues/930 https://github.com/rhayes777/PyAutoFit/issues/931
It goes without saying that the code makes model text output more concise, and which offers the right constructs for a visual graph, are likely one and the same, and all issues should be considered together.
