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
Methods
conf_int
([obs, alpha])Returns the confidence interval of the value, effect of the constraint.
summary_frame
([what, alpha])Properties