maxiter : int, optional
method : string
Default is ‘IRLS’ for iteratively reweighted least squares. This
is currently the only method available for GLM fit.
scale : string or float, optional
scale can be ‘X2’, ‘dev’, or a float
The default value is None, which uses X2 for Gamma, Gaussian,
and Inverse Gaussian.
X2 is Pearson’s chi-square divided by df_resid.
The default is 1 for the Binomial and Poisson families.
dev is the deviance divided by df_resid
tol : float
Convergence tolerance. Default is 1e-8.
start_params : array-like, optional
Initial guess of the solution for the loglikelihood maximization.
The default is family-specific and is given by the
family.starting_mu(endog). If start_params is given then the
initial mean will be calculated as np.dot(exog, start_params).