iteration_diagnostics

SuperGLM.iteration_diagnostics()

Return per-iteration IRLS diagnostics as a DataFrame.

Only available if fit(record_diagnostics=True) was used. Shows W range, mu/eta range, deviance, step halvings, and the observation indices with the largest/smallest working weights at each iteration.