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Dockerfile
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# 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"
# $ docker cp path/to/train.csv <container_id>:/mli-resources/data
# 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 3.5
RUN echo 'export PATH=/opt/conda/bin:$PATH' > /etc/profile.d/conda.sh && \
wget --quiet https://repo.continuum.io/archive/Anaconda3-4.2.0-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
RUN pip uninstall h2o || true && \
pip install -f https://h2o-release.s3.amazonaws.com/h2o/rel-weierstrass/2/Python/h2o-3.14.0.2-py2.py3-none-any.whl --trusted-host h2o-release.s3.amazonaws.com h2o
# Git
RUN apt-get -y install git
RUN curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash && \
apt-get install git-lfs
# Examples
RUN git clone https://github.com/h2oai/mli-resources.git
# XGBoost
RUN 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