fit_adjust_model results can't be stored?

[mberns-ru]

Hi! I've been running into a problem where I'll call fit_adjust_model on several samples and then return the results, but all the results will be the same. For example:

fit_model_av = fit_adjust_model(sample=av_samp, model=model_to_use, verbose=False)
fit_model_a = fit_adjust_model(sample=a_samp, model=model_to_use, verbose=False)
fit_model_v = fit_adjust_model(sample=v_samp, model=model_to_use, verbose=False)

print(fit_model_av.get_model_parameters())
print(fit_model_a.get_model_parameters())
print(fit_model_v.get_model_parameters())

return fit_model_av, fit_model_a, fit_model_v

Will print:

[Fitted(3.554254975982411, minval=0, maxval=20), Fitted(0.727579097030933, minval=0.1, maxval=2), Fitted(0.35642893041918094, minval=0, maxval=0.8)]
[Fitted(3.554254975982411, minval=0, maxval=20), Fitted(0.727579097030933, minval=0.1, maxval=2), Fitted(0.35642893041918094, minval=0, maxval=0.8)]
[Fitted(3.554254975982411, minval=0, maxval=20), Fitted(0.727579097030933, minval=0.1, maxval=2), Fitted(0.35642893041918094, minval=0, maxval=0.8)]

Despite being fitted to different samples. I know the results are different because when I print them before the next fit_adjust_model() call, they are accurate. Is there a fix to this?

[mwshinn]

Fit adjust model is called "adjust" model because it takes a single model object and changes it. Here you are reusing the same model object. If you make separate calls to Model for each it will work, e.g.,

model_to_use1 = Model(...)
model_to_use2 = Model(...)

it will work