statsmodels.genmod.generalized_linear_model.GLMResults.get_prediction¶
- GLMResults.get_prediction(exog=None, exposure=None, offset=None, transform=True, linear=False, row_labels=None)[source]¶
Compute prediction results for GLM compatible models.
- Parameters
- 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_labels
list
of
str
orNone
If row_lables are provided, then they will replace the generated labels.
- linpred
linear
prediction
instance
Instance of linear prediction results used for confidence intervals based on endpoint transformation.
- link
instance
of
link
function
If no link function is provided, then the model.family.link is used.
- exogarray_like,
- Returns
- prediction_results
generalized_linear_model.PredictionResults
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.
- prediction_results