scipy.stats._result_classes.FitResult#

class scipy.stats._result_classes.FitResult(dist, data, discrete, res)[source]#

Result of fitting a discrete or continuous distribution to data

Attributes
paramsnamedtuple

A namedtuple containing the maximum likelihood estimates of the shape parameters, location, and (if applicable) scale of the distribution.

successbool or None

Whether the optimizer considered the optimization to terminate successfully or not.

messagestr or None

Any status message provided by the optimizer.

Methods

nllf([params, data])

Negative log-likelihood function

plot([ax])

Visualize the fit result.