Interactive plot #46
Interactive plot #46
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Running the formatter also edited multi_gaussian_process.py and swift.py |
robjmcgibbon
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| to try an interactive plot. Every emulator object contains an | ||
| `interactive_plot` method. This generates a plot with a slider | ||
| for each parameter. The plot will update to show the emulator | ||
| predictions when sliders are adjusted. |
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Maybe add a line that explains the default reference line.
| .. image:: interactive_plot.png | ||
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| It is possible to pass reference data to be plotted when calling | ||
| :meth:`swiftemulator.emulators.base.BaseEmulator.interactive\_plot`. |
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Maybe you could add this to the example? Similar to the previous comment I would at least mention the reference line and/or the extra datapoints
swiftemulator/emulators/base.py
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| """ | ||
| Generates an interactive plot which displays the emulator predictions. | ||
| If no reference data is passed to be overplotted then the plot will | ||
| display a line which corresponds to the predictions for the mean |
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Is it the mean or the midpoint of the ranges? (also out of curiosity, I guess it's the same for uniform points)
swiftemulator/emulators/base.py
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| name = model_specification.parameter_names[i] | ||
| lo_lim = sorted(model_specification.parameter_limits[i])[0] | ||
| hi_lim = sorted(model_specification.parameter_limits[i])[1] | ||
| param_means[name] = (lo_lim + hi_lim) / 2 |
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Maybe refer to it as midpoints as that is more correct (also clarifies my earlier comment)
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Just thinking about it now, just like for the parameter sweeps it might be nice to be able to give it a reference set of parameters (in case you have already done a fit for example). Not super important for when you compare with external points, but it could provide a nicer "default" comparison line |
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@EvgeniiChaikin maybe this is also interesting for you to look at and see if you have suggestions |
I've implemented that, along with the documentation changes you suggested |
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Thanks for this! |
I added a method to allow for visualisation of the effect of varying parameter values on the emulator predictions. Maybe visualisation.py would be a better place to put it though.
I tested this by adding a single line (
schecter_emulator.interactive_plot(predict_x, xlabel='Stellar mass', ylabel='dn/dlogM')) to the end of the getting started example. If you decide to merge this then I'd need to add it an example somewhere in the documentation.The plot is pretty responsive for me when testing with two parameters. For a large emulator model this might not be the case though, as the emulator has to make a prediction every time you move the slider.
The axis limits of the plot are set by the initial values. This means that the line can move off the plot, but I think resizing the plot would make it more difficult to see the effect of varying the parameters.
It would be nice to save the plot as an html/javascript for sharing. In the past I've used the bokeh package for these kind of plots, but I didn't want to add another dependency.