Traceback (most recent call last):

 "/usr/lib/pymodules/python2.7/ajenti/plugins/main/main.py", line 158, in handle_message
self.ui.dispatch_event(update['uid'], update['event'], update['params'])

 "/usr/lib/pymodules/python2.7/ajenti/ui/__init__.py", line 72, in dispatch_event
self.root.dispatch_event(uid, event, params)

 "/usr/lib/pymodules/python2.7/ajenti/ui/element.py", line 382, in dispatch_event
if child.dispatch_event(uid, event, params):

 "/usr/lib/pymodules/python2.7/ajenti/ui/element.py", line 382, in dispatch_event
if child.dispatch_event(uid, event, params):

 "/usr/lib/pymodules/python2.7/ajenti/ui/element.py", line 388, in dispatch_event
getattr(self, k)(**(params or {}))

 "/var/lib/ajenti/plugins/vh/main.py", line 226, in on_destroy
self.save()

 "/var/lib/ajenti/plugins/vh/main.py", line 242, in save
self.binder.update()

 "/usr/lib/pymodules/python2.7/ajenti/ui/binder.py", line 598, in update
binding.update()

 "/usr/lib/pymodules/python2.7/ajenti/ui/binder.py", line 445, in update
absolute_order = [sortable_indexes[i - 1] for i in self.items_ui.order]IndexError: list index out of range
Traceback (most recent call last):


 "./benchmark_m4.py", line 84, in <module>

results.append(evaluate(dataset_name, estimator))


 "./benchmark_m4.py", line 60, in evaluate

predictor = estimator.train(dataset.train)


 "/home/repro/.local/lib/python3.6/site-packages/gluonts-0.3.4.dev78+g8642509-py3.6.egg/gluonts/model/estimator.py", line 201, in train

return self.train_model(training_data).predictor


 "/home/repro/.local/lib/python3.6/site-packages/gluonts-0.3.4.dev78+g8642509-py3.6.egg/gluonts/model/estimator.py", line 187, in train_model

train_iter=training_data_loader,


 "/home/repro/.local/lib/python3.6/site-packages/gluonts-0.3.4.dev78+g8642509-py3.6.egg/gluonts/trainer/_base.py", line 246, in __call__

output = net(*inputs)


 "/home/repro/.local/lib/python3.6/site-packages/mxnet/gluon/block.py", line 540, in __call__

out = self.forward(*args)


 "/home/repro/.local/lib/python3.6/site-packages/mxnet/gluon/block.py", line 907, in forward

return self._call_cached_op(x, *args)


 "/home/repro/.local/lib/python3.6/site-packages/mxnet/gluon/block.py", line 797, in _call_cached_op

self._build_cache(*args)


 "/home/repro/.local/lib/python3.6/site-packages/mxnet/gluon/block.py", line 749, in _build_cache

data, out = self._get_graph(*args)


 "/home/repro/.local/lib/python3.6/site-packages/mxnet/gluon/block.py", line 741, in _get_graph

out = self.hybrid_forward(symbol, *grouped_inputs, **params)
# pylint: disable=no-value-for-parameter


 "/home/repro/.local/lib/python3.6/site-packages/gluonts-0.3.4.dev78+g8642509-py3.6.egg/gluonts/model/deepstate/_network.py", line 171, in hybrid_forward

length=self.past_length,


 "/home/repro/.local/lib/python3.6/site-packages/gluonts-0.3.4.dev78+g8642509-py3.6.egg/gluonts/model/deepstate/_network.py", line 129, in compute_lds

seasonal_indicators


 "/home/repro/.local/lib/python3.6/site-packages/gluonts-0.3.4.dev78+g8642509-py3.6.egg/gluonts/model/deepstate/issm.py", line 341, in get_issm_coeff

self.nonseasonal_issm.get_issm_coeff(seasonal_indicators),


 "/home/repro/.local/lib/python3.6/site-packages/gluonts-0.3.4.dev78+g8642509-py3.6.egg/gluonts/model/deepstate/issm.py", line 131, in get_issm_coeff

self.transition_coeff(seasonal_indicators),


 "/home/repro/.local/lib/python3.6/site-packages/gluonts-0.3.4.dev78+g8642509-py3.6.egg/gluonts/model/deepstate/issm.py", line 205, in transition_coeff

F.array([[1, 1], [0, 1]])
AttributeError: module 'mxnet.symbol' has no attribute 'array'
