2022.05.02.1

• Can make a parameter free across al combined analysis objects (docs / cookbook to be written):

analysis = sum(analysis_list)
analysis = analysis.with_free_parameters(
    model.parameter, 
)

• Model composition using relations (cookbook to be written):

x_list = [464, 658, 806]

m = af.UniformPrior(lower_limit=-0.1, upper_limit=0.1)
c = af.UniformPrior(lower_limit=-10.0, upper_limit=10.0)

analysis_list = []

for x, imaging in zip(x_list, imaging_list):

    y = af.Add(af.Multiply(x, m), c)

    analysis_list.append(
        al.AnalysisImaging(dataset=imaging).with_model(
            model.replacing(
                {
                    model.gaussian.x: gaussian.x,
                }
            )
        )
    )

• Tutorials for fitting a hierarchical model outside of EP.

https://github.com/Jammy2211/autofit_workspace/tree/release/notebooks/howtofit/chapter_graphical_models

• Stability upgrades to EP framework.