s MXBoard supported in Keras with MXNet backend? I managed to get my network (which I previously used with the TensorFlow backend) training with the MXNet backend, but now I want to monitor the performance as I was used to with TensorBoard. This is what I tried:

`from keras.losses import mean_squared_error`

`sw = SummaryWriter(logdir="logs/test", flush_secs=10)`

`sw.add_scalar(tag='training_MSE', value=mean_squared_error)`

but this gives the following error:

`TypeError: _make_numpy_array only accepts input types of numpy.ndarray, scalar, and MXNet NDArray, while received type <class 'function'>`

How can MXBoard be used in Keras?