statsmodels.discrete.discrete_model.Logit.predict

Logit.predict(params, exog=None, which='mean', linear=None, offset=None)

Predict response variable of a model given exogenous variables.

Parameters:
params : array_like

Fitted parameters of the model.

exog : array_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.

linear : bool

If True, returns the linear predicted values. If False or None, then the statistic specified by which will be returned.

Returns:

Fitted values at exog.

Return type:

array