statsmodels.base.elastic_net.RegularizedResults#

class statsmodels.base.elastic_net.RegularizedResults(model, params)[source]#

Results for models estimated using regularization

Parameters:
modelModel

The model instance used to estimate the parameters.

paramsndarray

The estimated (regularized) parameters.

Attributes:
fittedvalues

The predicted values from the model at the estimated parameters

Methods

initialize(model, params, **kwargs)

Initialize (possibly re-initialize) a Results instance

predict([exog, transform])

Call self.model.predict with self.params as the first argument

summary()

Summary of Results, not implemented

Methods

initialize(model, params, **kwargs)

Initialize (possibly re-initialize) a Results instance

predict([exog, transform])

Call self.model.predict with self.params as the first argument

summary()

Summary of Results, not implemented

Properties

fittedvalues

The predicted values from the model at the estimated parameters