statsmodels.distributions.bernstein.BernsteinDistribution.from_data

classmethod BernsteinDistribution.from_data(data, k_bins)

Create distribution instance from data using histogram binning.

Classmethod to construct a distribution instance.

Parameters:

dataarray_like

Data with observation in rows and random variables in columns. Data can be 1-dimensional in the univariate case.

k_binsint or list

Number or edges of bins to be used in numpy histogramdd. If k_bins is a scalar int, then the number of bins of each component will be equal to it.

Returns:

Instance of a Bernstein distribution