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ucl-pond / pySuStaIn

Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.
MIT License
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Fixing controls in GMM #21

Closed 88vikram closed 3 years ago

88vikram commented 3 years ago

Hi Neil, Leon, Others

I am trying to use Mixture SuStaIn with fixed controls in GMM (i.e. without optimizing for the controls Gaussian) and I would like to get your opinion if what I am doing is okay.

In mixture_model/utils/fit_all_gmm_models, instead of calling the fit function, I am trying to call the fit_constrained function in gmm.py

Is this okay ? I see that all the necessary functions are in place for making use of this functionality. Is there a reason for you to not provide access to this function through user controllable options (for e.g. if there is an unfixed bug in the fit_constrained function etc.) ?

Do let me know.

Cheers, Vikram

noxtoby commented 3 years ago

Hi Vikram,

We haven't tested fit_constrained() extensively, so it would be great to get your feedback.

Cheers, Neil

noxtoby commented 3 years ago

Closing this as answered.