[feature/20/plasticc] Investigate options for Gaussian Process regression for PLAsTiCC data
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tallamjr commented
Linked to feature #20
SPCC PLAsTiCC data is irregularly sampled, but one required a regular sampling of points for the t2 algorithm to work best. The goal would be to use gaussian process regression to interpolate between the points in 6 dimensions.
GPFlow seems to be a good candidate for this
Update
It was determined that initially working with PLAsTiCC data was easier for experimentation and prototyping, so this issue has moved to working with that dataset instead for now.
tallamjr commented
Now using george and code snippets from Catarina