provided example E2E.ipynb in container fails on dxgb_gpu.train

[jontis]

Failing with error:

IndexError Traceback (most recent call last)
in

/conda/envs/gdf/lib/python3.5/site-packages/dask_xgboost-0.1.5-py3.5.egg/dask_xgboost/core.py in train(client, params, data, labels, dmatrix_kwargs, **kwargs)
229 """
230 return client.sync(_train, client, params, data,
--> 231 labels, dmatrix_kwargs, **kwargs)
232
233

/conda/envs/gdf/lib/python3.5/site-packages/distributed-1.23.3-py3.5.egg/distributed/client.py in sync(self, func, *args, **kwargs)
645 return future
646 else:
--> 647 return sync(self.loop, func, *args, **kwargs)
648
649 def repr(self):

/conda/envs/gdf/lib/python3.5/site-packages/distributed-1.23.3-py3.5.egg/distributed/utils.py in sync(loop, func, *args, **kwargs)
275 e.wait(10)
276 if error[0]:
--> 277 six.reraise(*error[0])
278 else:
279 return result[0]

/conda/envs/gdf/lib/python3.5/site-packages/six.py in reraise(tp, value, tb)
691 if value.traceback is not tb:
692 raise value.with_traceback(tb)
--> 693 raise value
694 finally:
695 value = None

/conda/envs/gdf/lib/python3.5/site-packages/distributed-1.23.3-py3.5.egg/distributed/utils.py in f()
260 if timeout is not None:
261 future = gen.with_timeout(timedelta(seconds=timeout), future)
--> 262 result[0] = yield future
263 except Exception as exc:
264 error[0] = sys.exc_info()

/conda/envs/gdf/lib/python3.5/site-packages/tornado/gen.py in run(self)
1131
1132 try:
-> 1133 value = future.result()
1134 except Exception:
1135 self.had_exception = True

/conda/envs/gdf/lib/python3.5/asyncio/futures.py in result(self)
292 self._tb_logger = None
293 if self._exception is not None:
--> 294 raise self._exception
295 return self._result
296

/conda/envs/gdf/lib/python3.5/site-packages/tornado/gen.py in wrapper(*args, **kwargs)
324 try:
325 orig_stack_contexts = stack_context._state.contexts
--> 326 yielded = next(result)
327 if stack_context._state.contexts is not orig_stack_contexts:
328 yielded = _create_future()

/conda/envs/gdf/lib/python3.5/site-packages/dask_xgboost-0.1.5-py3.5.egg/dask_xgboost/core.py in _train(client, params, data, labels, dmatrix_kwargs, **kwargs)
135 label_parts = None
136 if isinstance(data, (list, tuple)):
--> 137 if isinstance(data[0], Delayed):
138 for data_part in data:
139 if not isinstance(data_part, Delayed):

IndexError: list index out of range

[dantegd]

Will close this issue since it relates to the end to end notebook that uses cuDF and XGBoost, not cuML. Also the new container had a lot of fixes, but if this is still an issue, a better place to open this issue would be in https://github.com/rapidsai/notebooks. Thanks @jontis !