base_pareto.py 文件源码

def __init__(self, name,classifier=None, number_gen=20,
                 verbose=0, repeat=1, parallel=False,
                 make_logbook=False, random_state=None,
                 cv_metric_fuction=make_scorer(matthews_corrcoef), 
                 features_metric_function=None):

        self._name = name
        self.estimator = SVC(kernel='linear', max_iter=10000) if classifier is None else clone(classifier)
        self.number_gen = number_gen
        self.verbose = verbose
        self.repeat = repeat
        self.parallel=parallel
        self.make_logbook = make_logbook
        self.random_state = random_state
        self.cv_metric_function= cv_metric_fuction
        self.features_metric_function= features_metric_function
        self._random_object = check_random_state(self.random_state)
        random.seed(self.random_state)