models_classification.py 文件源码

def __init__(
        self,data_block, predictors=[],cv_folds=10,
        scoring_metric='accuracy',additional_display_metrics=[]):

        base_classification.__init__(
            self, alg=SVC(), data_block=data_block, predictors=predictors,
            cv_folds=cv_folds,scoring_metric=scoring_metric, 
            additional_display_metrics=additional_display_metrics
            )

        self.model_output=pd.Series(self.default_parameters)
        self.model_output['Coefficients'] = "-"

        #Set parameters to default values:
        self.set_parameters(set_default=True)

        #Check if probabilities enables:
        if not self.alg.get_params()['probability']:
            self.probabilities_available = False