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.

1.1.4

• quantile added as new method
• percentile added as new method

1.1.3

• typo fix in naming
• some fixes in examples.py
• scipy library add to setup
• docstring updates

1.1.2

• predict returns a dict
• fit_transforms returns a dict

1.1.1

• save and loading
• sphinx updates
• docstring updates
• smoothing