irregular_companies_classifier.py 文件源码

def predict(self, X):
        statuses = ['BAIXADA', 'NULA', 'SUSPENSA', 'INAPTA']
        self._X = X.apply(self.__compare_date, axis=1)
        return np.r_[self._X & X['situation'].isin(statuses)]