Distfit

Latest version: v1.8.0

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1.3.0

* output parameter in dict "RSS" changed into "score" because various scoring statistics can be chosen.

1.2.8

* Added possibility to use different scoring statistics.
The parameter "stats" is to be used to define the scoring statistic: RSS, wasserstein, Kolmogorov-Smirnov statistic (ks) or energy

1.2.7

* Fitting of discrete non-negative integer data is possible now using the binomial distribution!
* Updated sphinx pages
* Updated readme
* Updated notebook

from distfit import distfit
dist = distfit(method='discrete')
dist.fit_transform(X)

1.2.6

* Improved speed
* Iutputs time duration for fitting distribution
* Dataframe is not a default output anymore. Nevertheless, it can be returned using to todf=True setting during initialization
* Removed unsupported distributions: frechet_r and frechet_l
* Update docs and readme
* Smoothline function integrated instead of seperate file.

1.1.6

* pypickle used
* pep styling
* tested for python 3.8

1.1.5

* removed levy_l and stable from full list of distributions because it is too slow.

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