LinearRegression Example #40
Description
Bug Report
ZeroDivisionError Traceback (most recent call last)
in ()
38 optimizer_params={'learning_rate':0.01, 'momentum': 0.9},
39 num_epoch=1000,
---> 40 batch_end_callback = mx.callback.Speedometer(batch_size, 1))
41
42
/auto/homes/yn272/.virtualenvs/HDR/local/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/module/base_module.pyc in fit(self, train_data, eval_data, eval_metric, epoch_end_callback, batch_end_callback, kvstore, optimizer, optimizer_params, eval_end_callback, eval_batch_end_callback, initializer, arg_params, aux_params, allow_missing, force_rebind, force_init, begin_epoch, num_epoch, validation_metric, monitor)
420 locals=locals())
421 for callback in _as_list(batch_end_callback):
--> 422 callback(batch_end_params)
423
424 # one epoch of training is finished
/auto/homes/yn272/.virtualenvs/HDR/local/lib/python2.7/site-packages/mxnet-0.9.4-py2.7.egg/mxnet/callback.pyc in call(self, param)
114 if self.init:
115 if count % self.frequent == 0:
--> 116 speed = self.frequent * self.batch_size / (time.time() - self.tic)
117 if param.eval_metric is not None:
118 name_value = param.eval_metric.get_name_value()
ZeroDivisionError: float division by zero