statsmodels.regression.linear_model.PredictionResults¶
- class statsmodels.regression.linear_model.PredictionResults(predicted_mean, var_pred_mean, var_resid, df=None, dist=None, row_labels=None)[source]¶
Results class for predictions.
- Parameters:
- predicted_mean
ndarray The array containing the prediction means.
- var_pred_mean
ndarray The array of the variance of the prediction means.
- var_resid
ndarray The array of residual variances.
- df
int The degree of freedom used if dist is ‘t’.
- dist{‘norm’, ‘t’,
object} Either a string for the normal or t distribution or another object that exposes a ppf method.
- row_labels
list[str] Row labels used in summary frame.
- predicted_mean
- Attributes:
- se_mean
- se_obs
Methods
conf_int([obs, alpha])Returns the confidence interval of the value, effect of the constraint.
summary_frame([alpha])Properties