parrotprediction / docker-course-xgboost Goto Github PK

Hello. I'm on Windows 7. There are my steps in Lesson "Getting rocket off the ground":

1. I did "git clone https://github.com/ParrotPrediction/docker-course-xgboost" in git bash terminal
2. Setup docker
3. $ cd docker-course-xgboost
4. $ docker -v
   Docker version 1.13.1, build 092cba3
5. $ docker-compose -v
   docker-compose version 1.11.1, build 7afaa436
6. $ docker-compose up
   Traceback (most recent call last):
   File "docker-compose", line 3, in
   ............................
   File "site-packages\docker\transport\npipeconn.py", line 31, in connect
   File "site-packages\docker\transport\npipesocket.py", line 22, in wrapped
   File "site-packages\docker\transport\npipesocket.py", line 50, in connect
   pywintypes.error: (2, 'WaitNamedPipe', '\xcd\xe5 \xf3\xe4\xe0\xe5\xf2\xf1\xff \xed\xe0\xe9\xf2\xe8 \xf3\xea\xe0\xe7\xe0\xed\xed\xfb\xe9 \xf4\xe0\xe9\xeb.')
   Failed to execute script docker-compose

What should I do to fix problem?

• Instead of
  subprocess.check_call(command)
  Use following line instead
  processPng = subprocess.Popen(command,stdout=subprocess.PIPE,shell=True)

of course, you need install graphviz and add dot.exe to your system PATH before running above code

• And for display image from command line program, instead of
  from IPython.display import Image
Image(filename=gbc_t1_png_file)
  you need to install pillow (a fork of Python Image Library-PIL) and use following lines instead:
  from PIL import Image
im = Image.open(your_path_to_png)
im.show()

it seems to me sklearn not supporting those code using native/standard xgboost api.

I have encountered some small issues in trying to fire up the docker container from the GitHub repo. I am relatively new to docker, so I am suggesting that either some additional instruction could be added to the README or this issue can exist for other people like me who dont really know what they're doing.

1. On the most recent Docker for Windows (running on W10) I couldn't get docker-compose up to work.
   Alternatively I used docker build -t xgboost-course . to get the docker image.

2. Docker build fails for me due to some proxy issues (it spits out 101 network unreachable and failed to fetch ... errors when trying to use apt-get. To fix this - add a line to the Dockerfile to ensure docker has the right proxy settings:

USER root

ENV http_proxy http://hostname:port
ENV https_proxy http://hostname:port

# libav-tools for matplotlib anim
    ...

I believe the problems were because the proxy settings exposed to the docker containers did not have a leading http://.

3. When docker builds successfully you cant then start the container in daemon mode through
   docker run -d -p 8888:8888 -v $PWD/notebooks:/home/joyvan/work xgboost-course

control the balance of positive and negative weights using set_pos_weight parameter,

should be

control the balance of positive and negative weights using scale_pos_weight parameter,

better to have dump_model first otherwise some people might confuse where those dump content come from
bst.dump_model('featmapDump.txt', with_stats=True);

While trying to run the '$ docker-compose up' command got this error:
In file './docker-compose.yml' service 'version' doesn't have any configuration options. All top level keys in your docker-compose.yml must map to a dictionary of configuration options.

I followed the instructions but in the last step
docker-compose -v
It generates this error.
I am on windows 7 using Docker Toolbox. I search on google, I believe this problem is due to the 'docker-compose.yml', the volumes: - ./notebooks/:/notebooks.
I think this works on Mac or Linux but it just does not work on windows.
I‘ve already installed Jupyter and it creates a folder named "Jupyter". I could download the docker-course-xgboost folder and open all those jupyter notebooks, but when I try to check the version of the xgboost, then it says No module named xgboost. I believe this is due to the fact that the installation is not successful.
When I run the docker-compose -v for the first time, it does download a lot of stuff (and actually I couldn't find where does those stuff located)
Is there a way to solve it？

Im unable to import XG boost in the python notebook
import xgboost

Error in Notebook:

OSError Traceback (most recent call last)
in ()
----> 1 import xgboost

~\Anaconda3\lib\site-packages\xgboost-0.6-py3.6.egg\xgboost_init_.py in ()
9 import os
10
---> 11 from .core import DMatrix, Booster
12 from .training import train, cv
13 from . import rabit # noqa

~\Anaconda3\lib\site-packages\xgboost-0.6-py3.6.egg\xgboost\core.py in ()
113
114 # load the XGBoost library globally
--> 115 _LIB = _load_lib()
116
117

~\Anaconda3\lib\site-packages\xgboost-0.6-py3.6.egg\xgboost\core.py in _load_lib()
107 if len(lib_path) == 0:
108 return None
--> 109 lib = ctypes.cdll.LoadLibrary(lib_path[0])
110 lib.XGBGetLastError.restype = ctypes.c_char_p
111 return lib

~\Anaconda3\lib\ctypes_init_.py in LoadLibrary(self, name)
424
425 def LoadLibrary(self, name):
--> 426 return self._dlltype(name)
427
428 cdll = LibraryLoader(CDLL)

~\Anaconda3\lib\ctypes_init_.py in init(self, name, mode, handle, use_errno, use_last_error)
346
347 if handle is None:
--> 348 self._handle = _dlopen(self._name, mode)
349 else:
350 self._handle = handle

OSError: [WinError 126] The specified module could not be found