statsmodels.discrete.discrete_model.Probit.predict¶
-
Probit.predict(params, exog=
None
, which='mean'
, linear=None
, offset=None
)¶ Predict response variable of a model given exogenous variables.
- Parameters:¶
- paramsarray_like
Fitted parameters of the model.
- exogarray_like
1d or 2d array of exogenous values. If not supplied, the whole exog attribute of the model is used.
- which{‘mean’, ‘linear’, ‘var’, ‘prob’},
optional
Statistic to predict. Default is ‘mean’.
‘mean’ returns the conditional expectation of endog E(y | x), i.e. exp of linear predictor.
‘linear’ returns the linear predictor of the mean function.
‘var’ returns the estimated variance of endog implied by the model.
- linearbool
If True, returns the linear predicted values. If False or None, then the statistic specified by
which
will be returned.
- Returns:¶
array
Fitted values at exog.
Last update:
Dec 23, 2024