def __init__()

in src/smote_variants.py [0:0]

• 10 lines of code
• 2 McCabe index (conditional complexity)

    def __init__(self, proportion=1.0, topology="star", random_state=None):
        """
        Constructor of the sampling object
        Args:
            proportion (float): proportion of the difference of n_maj and n_min
                                to sample e.g. 1.0 means that after sampling
                                the number of minority samples will be equal
                                to the number of majority samples
            topoplogy (str): 'star'/'bus'/'mesh'
            random_state (int/RandomState/None): initializer of random_state,
                                                    like in sklearn
        """
        super().__init__()
        self.check_greater_or_equal(proportion, "proportion", 0.0)
        if topology.startswith("poly"):
            self.check_greater_or_equal(int(topology.split("_")[-1]), "topology", 1)
        else:
            self.check_isin(topology, "topology", ["star", "bus", "mesh"])

        self.proportion = proportion
        self.topology = topology

        self.set_random_state(random_state)