Comments (3)
Thanks! The loggamma is already part of distfit.
For example:
from distfit import distfit
X = np.random.normal(0, 2, 5000)
y = [-8,-6,0,1,2,3,4,5,6]
dist = distfit(distr='loggamma')
dist.fit_transform(X)
dist.plot()
Is this what you mean?
from distfit.
Yes, it is what I meant. However, is it not included in your regular default/popular run?
When I ran,
dist = distfit(todf=True)
dist.fit_transform(dataset)
dist.plot()
The result did not include loggamma
and the lowest RSS was for the beta
which produced large, unnatural parameters. In my case, the loggamma
produced a far lower RSS score and would have been selected as the best one in the default run. I guess it's not that popular, so your popular
choice does not include it.
You can close the issue now.
from distfit.
Well, "popular" is not a fixed list. I included loggamma in the list.
Update with:
pip install -U distfit
from distfit.
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from distfit.