# datatable.models.Ftrl.negative_class¶

An option to indicate if a “negative” class should be created in the case of multinomial classification. For the “negative” class the model will train on all the negatives, and if a new label is encountered in the target column, its weights are initialized to the current “negative” class weights. If negative_class is set to False, the initial weights become zeros.

This option is read-only for a trained model.

## Parameters¶

return
bool

Current negative_class value.

new_negative_class
bool

New negative_class value.

except
ValueError

The exception is raised when trying to change this option for a model that has already been trained.