pykelihood.distributions.Distribution.

fit

Distribution.fit(data, x0=None, score=<function opposite_log_likelihood>, scipy_args=None, **fixed_values)

Fit the distribution to the data.

Parameters:

• data (Obs) – Data to fit the distribution to.

• x0 (Sequence[float], optional) – Initial guess for the parameters, by default None.

• score (Callable[["Distribution", Obs], float], optional) – Scoring function, by default opposite_log_likelihood.

• scipy_args (Optional[Dict], optional) – Additional arguments for scipy.optimize.minimize, by default None.

• fixed_values (dict) – Fixed values for the parameters.

Return type:

The result of the fit. A new instance is created with the fitted parameters.