from distfit.distfit import (
    distfit,
    )


__author__ = 'Erdogan Tasksen'
__email__ = 'erdogant@gmail.com'
__version__ = '1.1.1'


# module level doc-string
__doc__ = """
distfit
=====================================================================

Description
-----------
Probability density function fitting across 89 univariate distributions to non-censored 
data by residual sum of squares (RSS), making plots, and hypothesis testing.

Example
-------
>>> from distfit import distfit
>>>
>>> X = np.random.normal(0, 2, 1000)
>>> y = [-8,-6,0,1,2,3,4,5,6]
>>>
>>> dist = distfit()
>>> dist.fit_transform(X)
>>> dist.plot()
>>>
>>> # Make prediction
>>> dist.predict(y)
>>> dist.plot()

References
----------
https://github.com/erdogant/distfit

"""
