Generate samples

With the fitted model it allows to generate samples which can be easily done with the generate function.

Lets see how generating samples works:

# import library
from distfit import distfit

# Generate random normal distributed data
X = np.random.normal(0, 2, 10000)

# Initialize model
dfit = distfit()

# Fit distribution on data X
dfit.fit_transform(X)

# The fitted distribution can now be used to generate new samples.
Xgenerate = dfit.generate(n=1000)

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