cgp.py 文件源码

def create(cls, random_state=None):
        """
        Each gene is picked with a uniform distribution from all allowed inputs or functions.
        :param random_state: an instance of np.random.RandomState, a seed integer or None
        :return: A random new class instance.
        """
        random_state = check_random_state(random_state)
        n_in = len(cls.pset.terminals)
        operator_keys = list(range(n_in, max(cls.pset.mapping) + 1))
        code = []
        for i in range(cls.n_columns):
            column = []
            for j in range(cls.n_rows):
                index = _code_index(n_in, cls.n_rows, i, j)
                in_ = cls._valid_inputs[index]
                gene = [random_state.choice(operator_keys)] + [random_state.choice(in_) for _ in range(cls.pset.max_arity)]
                column.append(gene)
            code.append(column)
        outputs = [random_state.choice(cls._valid_inputs[_out_index(cls.n_rows, cls.n_columns, n_in, o)])
                   for o in range(cls.n_out)]
        return cls(code, outputs)