conditional_inference_binner.py 文件源码

def __init__(self, name, **kwargs):
        self.name = name

        self.alpha = kwargs.get('alpha', 0.95)
        self.min_samples_split = kwargs.get('min_samples_split', 2)
        self.min_samples_leaf = kwargs.get('min_samples_leaf', 2)
        self.special_values = kwargs.get('special_values', [np.NaN])

        self.num_classes = None

        self._splits = [np.PINF]
        self._values = list()
        self.nodes = list()

        self._is_fit = False