h2oai / mli-resources

H2O.ai Machine Learning Interpretability Resources
481 stars 131 forks source link

Docker file fetched from mil-resource has the wrong content #12

Open vingu opened 5 years ago

vingu commented 5 years ago

Following the instruction to build the Docker image,

  1. Fetch the Dockerfile from the mli-resources repo. $ curl https://raw.githubusercontent.com/h2oai/mli-resources/master/anaconda_py36_h2o_xgboost_graphviz/Dockerfile > anaconda_py36_h2o_xgboost_graphviz/Dockerfile

    The resulted Docker file contains the status code rather the content itself. Do this instead, curl https://raw.githubusercontent.com/h2oai/mli-resources/master/anaconda_py36_h2o_xgboost_graphviz/Dockerfile | Select-Object -ExpandProperty Content

jphall663 commented 5 years ago

Hmm works as expected for me following instructions:



patrickh@patrickh-XPS-13-9370:~$ curl https://raw.githubusercontent.com/h2oai/mli-resources/master/anaconda_py36_h2o_xgboost_graphviz/Dockerfile > anaconda_py36_h2o_xgboost_graphviz/Dockerfile
% Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100  2151  100  2151    0     0   8226      0 --:--:-- --:--:-- --:--:--  8241

patrickh@patrickh-XPS-13-9370:~$ cat anaconda_py36_h2o_xgboost_graphviz/Dockerfile

# Install and start docker
# Then this file may be used to create a Docker container using:
# $ docker build anaconda_py35_h2o_xgboost_graphviz
# $ docker run -i -t -p 8888:8888 <image_id> /bin/bash -c "/opt/conda/bin/conda install jupyter -y --quiet && /opt/conda/bin/jupyter notebook --notebook-dir=/mli-resources --ip='*' --port=8888 --no-browser --allow-root"
# Open a browser and navigate to localhost:8888

# Base debian system
FROM debian:8.5
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8

# Update OS
RUN apt-get update --fix-missing && apt-get install -y wget bzip2 ca-certificates \
    libglib2.0-0 libxext6 libsm6 libxrender1 \
    git mercurial subversion

# Anaconda Python 3.6 
RUN echo 'export PATH=/opt/conda/bin:$PATH' > /etc/profile.d/conda.sh && \
    wget --quiet https://repo.continuum.io/archive/Anaconda3-5.1.0-Linux-x86_64.sh -O ~/anaconda.sh && \
    /bin/bash ~/anaconda.sh -b -p /opt/conda && \
    rm ~/anaconda.sh

RUN apt-get install -y curl grep sed dpkg && \
    TINI_VERSION=`curl https://github.com/krallin/tini/releases/latest | grep -o "/v.*\"" | sed 's:^..\(.*\).$:\1:'` && \
    curl -L "https://github.com/krallin/tini/releases/download/v${TINI_VERSION}/tini_${TINI_VERSION}.deb" > tini.deb && \
    dpkg -i tini.deb && \
    rm tini.deb && \
    apt-get clean

ENV PATH /opt/conda/bin:$PATH

ENTRYPOINT [ "/usr/bin/tini", "--" ]
CMD [ "/bin/bash" ]

# Java
RUN apt-get -y -f install default-jdk

# H2o deps
RUN pip install requests && \
    pip install tabulate && \
    pip install six && \
    pip install future && \
    pip install colorama

# H2o, version seems very important
RUN pip uninstall h2o || true && \
    pip install h2o==3.20.0.4 
# Git
RUN apt-get -y install git

# Examples
RUN git clone https://github.com/h2oai/mli-resources.git

# XGBoost
RUN apt-get update --fix-missing && \
    apt-get -y install gcc g++ make && \
    conda install -y libgcc && \
    git clone --recursive https://github.com/dmlc/xgboost.git && \
    cd xgboost && \
    make && \
    cd python-package && \
    python setup.py install --user

# GraphViz
RUN apt-get -y install graphviz

# Tree Shap/ELI5
RUN pip install shap eli5```
jphall663 commented 5 years ago

@vingu - What is your OS?