Once the data is all gathered and all necessary quantities have been calculated and stored in master data files, we want to model the distributions of properties using Extreme Deconvolution (XD) methods.
The current plan is to use astroML to do this. Any changes to this plan will be noted here.
XDGMM modeling is up and running, using a new class written to give an XDGMM wrapper to the scikit-learn Estimator class so that it can be used for machine learning.
Once the data is all gathered and all necessary quantities have been calculated and stored in master data files, we want to model the distributions of properties using Extreme Deconvolution (XD) methods.
The current plan is to use astroML to do this. Any changes to this plan will be noted here.