GLMResults.get_prediction(exog=None, exposure=None, offset=None, transform=True, linear=False, row_labels=None)[source]

Compute prediction results for GLM compatible models.

exogarray_like, optional

The values for which you want to predict.

transformbool, optional

If the model was fit via a formula, do you want to pass exog through the formula. Default is True. E.g., if you fit a model y ~ log(x1) + log(x2), and transform is True, then you can pass a data structure that contains x1 and x2 in their original form. Otherwise, you’d need to log the data first.

row_labelslist of str or None

If row_lables are provided, then they will replace the generated labels.

linpredlinear prediction instance

Instance of linear prediction results used for confidence intervals based on endpoint transformation.

linkinstance of link function

If no link function is provided, then the is used.


The prediction results instance contains prediction and prediction variance and can on demand calculate confidence intervals and summary tables for the prediction of the mean and of new observations.