I installed fitter on my anaconda in order to use it for collective curve fitting of real data on many distributions simultanously and choose the best fitting. However, it seems that out of the box, it has some sort of bug. Can anyone let me know what it is and how to fix it?

File "c:\Users\username\Desktop\Project\PythonTool\calculator\graph-analyzer\my_script.py", line 253, in curve_finder
    print(f.get_best(method='sumsquare_error'))
  File "C:\ProgramData\Anaconda3\envs\tf\lib\site-packages\fitter\fitter.py", line 366, in get_best
    params = self.fitted_param[name]
KeyError: 'alpha'

Per Mikuszefski's request, here is a MWE to reproduce the error message:

import pandas as pd
import seaborn as sns
from fitter import Fitter
from typing import List

#constants
data: List = [('A', 1, 'Company1', 10), ('B', 4, 'Company2', 20), ('C', 3, 'Company3', 5),
              ('D', 3, 'Company3', 1), ('E', 2, 'Company1', 2), ('F', 4, 'Company3', 9),
              ('G', 3, 'Company3', 7), ('H', 2, 'Company1', 1), ('I', 4, 'Company2', 15),
              ('J', 8, 'Company1', 1), ('K', 2, 'Company2', 3), ('L', 4, 'Company2', 6),
              ('M', 6, 'Company2', 3), ('N', 2, 'Company2', 10), ('O', 4, 'Company3', 10),
              ('P', 3, 'Company1', 1), ('Q', 2, 'Company2', 5), ('R', 4, 'Company1', 4)]


#Main driving function
def main() -> None:
    dataset = pd.DataFrame(data, columns=['Label', 'Degree', 'Affiliation', 'Duration'])

    degrees = dataset["Degree"].values
    f = Fitter(degrees)
    f.fit()
    print(f.get_best(method='sumsquare_error'))
    print(f.summary())
  


if __name__ == "__main__":
    main()