TypeError: fit()在mxnet python中获得意外的关键字参数‘monitor

import mxnet as mx

# 自定义Callback函数
class MonitorCallback(mx.callback.Callback):
    def __init__(self):
        super(MonitorCallback, self).__init__()

    def on_epoch_end(self, epoch, symbol, arg_params, aux_params):
        # 在每个epoch结束时执行的操作
        # 可以在这里添加自定义的监控逻辑

# 创建模型
model = mx.gluon.nn.Sequential()
model.add(mx.gluon.nn.Dense(10))

# 创建数据迭代器
train_data = mx.nd.random.uniform(shape=(100, 10))
train_label = mx.nd.random.uniform(shape=(100,))
train_iter = mx.io.NDArrayIter(train_data, train_label, batch_size=10)

# 训练模型
model.fit(train_iter, num_epoch=10, callbacks=[MonitorCallback()])