from distfit.distfit import distfit

__author__ = 'Erdogan Tasksen'
__email__ = 'erdogant@gmail.com'
__version__ = '1.3.0'


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

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

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

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

"""
