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運行gl.canvas.set_target('ipynb')在docker容器中拋出下面的exe文件。龍捲風/ graphlab不能在docker中分配請求的地址
即使使用gl.canvas.set_target('ipynb', port=28892)其中28892是開放端口，錯誤仍然保持不變。
---------------------------------------------------------------------------
error Traceback (most recent call last)
<ipython-input-257-3f215a521352> in <module>()
----> 1 gl.canvas.set_target('ipynb')
/opt/conda/envs/gl-env/lib/python2.7/site-packages/graphlab/canvas/utils.pyc in set_target(target, port)
102 # and to preserve backwards compatibility/other use cases
103 # (running a notebook exported to .py, for instance)
--> 104 _active_target = targets[target]()
105
106 # track metrics on target
/opt/conda/envs/gl-env/lib/python2.7/site-packages/graphlab/canvas/target.pyc in __init__(self, port)
25 self.state = graphlab.canvas.state.State()
26 # TODO server is not necessary in static IPython/Jupyter Notebook
---> 27 self.server = graphlab.canvas.server.Server(self.state, port)
28 # add data objects to left nav
29 DataView = graphlab.canvas.views.data_objects.DataObjectsView()
/opt/conda/envs/gl-env/lib/python2.7/site-packages/graphlab/canvas/server.pyc in __init__(self, state, port)
44
45 #Will raise exception if port cannot be bound
---> 46 self.__bind_socket(port)
47
48 # methods
/opt/conda/envs/gl-env/lib/python2.7/site-packages/graphlab/canvas/server.pyc in __bind_socket(self, port)
93 # Raises exception if socket cannot be bound on requested port
94 def __bind_socket(self, port=None):
---> 95 sockets = tornado.netutil.bind_sockets(port,"localhost")
96 self.__server.add_sockets(sockets)
97 with self.__port_lock:
/opt/conda/envs/gl-env/lib/python2.7/site-packages/tornado/netutil.pyc in bind_sockets(port, address, family, backlog, flags, reuse_port)
194
195 sock.setblocking(0)
--> 196 sock.bind(sockaddr)
197 bound_port = sock.getsockname()[1]
198 sock.listen(backlog)
/opt/conda/envs/gl-env/lib/python2.7/socket.pyc in meth(name, self, *args)
226
227 def meth(name,self,*args):
--> 228 return getattr(self._sock,name)(*args)
229
230 for _m in _socketmethods:
error: [Errno 99] Cannot assign requested address
看起來超過graphlab問題泊塢窗/龍捲風的問題，因爲在主機相同的命令作品。
sudo docker run -it -v /path/to/data:/root/data \
-v ~/code/work/src:/root/src \
-p 8888:8888 -p 28892:28892 company/graphlab \
/bin/bash -c "source activate gl-env && jupyter notebook --notebook-dir=~/src --ip='*' --port=8888 --no-browser"
有沒有辦法找出這個端口，這樣我就可以打開它或任何其他方式來解決這個問題：
我使用下面的命令開始了我的搬運工容器？