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hning86
2019-01-30 17:04:18 -05:00
parent 0514eee64b
commit b54be912d8
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Dockerfiles/1.0.10/Dockerfile Normal file
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FROM continuumio/miniconda:4.5.11
MAINTAINER mit_hai@hotmail.com
# create a new conda environment named azureml
RUN conda create -n azureml -y Python=3.6
# install azurmel-sdk components
RUN ["/bin/bash", "-c", "source activate azureml && pip install azureml-sdk[notebooks]==1.0.6"]
# install additional packages used by sample notebooks. this is optional
RUN ["/bin/bash", "-c", "source activate azureml && conda install -y tqdm cython matplotlib scikit-learn"]
# install git
RUN apt-get update && apt-get upgrade -y && apt-get install -y git
# clone Azure ML GitHub sample notebooks
RUN cd /home && git clone -b "azureml-sdk-1.0.10" --single-branch git@github.com:Azure/MachineLearningNotebooks.git
# generate jupyter configuration file
RUN ["/bin/bash", "-c", "source activate azureml && mkdir ~/.jupyter && cd ~/.jupyter && jupyter notebook --generate-config"]
# set an emtpy token for Jupyter to remove authentication.
# this is NOT recommended for production environment
RUN echo "c.NotebookApp.token = ''" >> ~/.jupyter/jupyter_notebook_config.py
# open up port 8887 on the container
EXPOSE 8887
# start Jupyter notebook server on port 8887 when the container starts
CMD /bin/bash -c "cd /home/MachineLearningNotebooks && source activate azureml && jupyter notebook --port 8887 --no-browser --ip 0.0.0.0 --allow-root"

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Dockerfiles/1.0.2/Dockerfile Normal file
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FROM continuumio/miniconda:4.5.11
MAINTAINER mit_hai@hotmail.com
# create a new conda environment named azureml
RUN conda create -n azureml -y -q Python=3.6
# install azurmel-sdk components
RUN ["/bin/bash", "-c", "source activate azureml && pip install azureml-sdk[notebooks]==1.0.2"]
# install additional packages used by sample notebooks. this is optional
RUN ["/bin/bash", "-c", "source activate azureml && conda install -y tqdm cython matplotlib scikit-learn"]
# install git
RUN apt-get update && apt-get upgrade -y && apt-get install -y git
# clone Azure ML GitHub sample notebooks
RUN cd /home && git clone -b "azureml-sdk-1.0.2" --single-branch git@github.com:Azure/MachineLearningNotebooks.git
# generate jupyter configuration file
RUN ["/bin/bash", "-c", "source activate azureml && mkdir ~/.jupyter && cd ~/.jupyter && jupyter notebook --generate-config"]
# set an emtpy token for Jupyter to remove authentication.
# this is NOT recommended for production environment
RUN echo "c.NotebookApp.token = ''" >> ~/.jupyter/jupyter_notebook_config.py
# open up port 8887 on the container
EXPOSE 8887
# start Jupyter notebook server on port 8887 when the container starts
CMD /bin/bash -c "cd /home/MachineLearningNotebooks && source activate azureml && jupyter notebook --port 8887 --no-browser --ip 0.0.0.0 --allow-root"

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Dockerfiles/1.0.6/Dockerfile Normal file
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FROM continuumio/miniconda:4.5.11
MAINTAINER mit_hai@hotmail.com
# create a new conda environment named azureml
RUN conda create -n azureml -y -q Python=3.6
# install azurmel-sdk components
RUN ["/bin/bash", "-c", "source activate azureml && pip install azureml-sdk[notebooks]==1.0.6"]
# install additional packages used by sample notebooks. this is optional
RUN ["/bin/bash", "-c", "source activate azureml && conda install -y tqdm cython matplotlib scikit-learn"]
# install git
RUN apt-get update && apt-get upgrade -y && apt-get install -y git
# clone Azure ML GitHub sample notebooks
RUN cd /home && git clone -b "azureml-sdk-1.0.6" --single-branch git@github.com:Azure/MachineLearningNotebooks.git
# generate jupyter configuration file
RUN ["/bin/bash", "-c", "source activate azureml && mkdir ~/.jupyter && cd ~/.jupyter && jupyter notebook --generate-config"]
# set an emtpy token for Jupyter to remove authentication.
# this is NOT recommended for production environment
RUN echo "c.NotebookApp.token = ''" >> ~/.jupyter/jupyter_notebook_config.py
# open up port 8887 on the container
EXPOSE 8887
# start Jupyter notebook server on port 8887 when the container starts
CMD /bin/bash -c "cd /home/MachineLearningNotebooks && source activate azureml && jupyter notebook --port 8887 --no-browser --ip 0.0.0.0 --allow-root"

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Dockerfiles/1.0.8/Dockerfile Normal file
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FROM continuumio/miniconda:4.5.11
MAINTAINER mit_hai@hotmail.com
# create a new conda environment named azureml
RUN conda create -n azureml -y -q Python=3.6
# install azurmel-sdk components
RUN ["/bin/bash", "-c", "source activate azureml && pip install azureml-sdk[notebooks]==1.0.6"]
# install additional packages used by sample notebooks. this is optional
RUN ["/bin/bash", "-c", "source activate azureml && conda install -y tqdm cython matplotlib scikit-learn"]
# install git
RUN apt-get update && apt-get upgrade -y && apt-get install -y git
# clone Azure ML GitHub sample notebooks
RUN cd /home && git clone -b "azureml-sdk-1.0.8" --single-branch git@github.com:Azure/MachineLearningNotebooks.git
# generate jupyter configuration file
RUN ["/bin/bash", "-c", "source activate azureml && mkdir ~/.jupyter && cd ~/.jupyter && jupyter notebook --generate-config"]
# set an emtpy token for Jupyter to remove authentication.
# this is NOT recommended for production environment
RUN echo "c.NotebookApp.token = ''" >> ~/.jupyter/jupyter_notebook_config.py
# open up port 8887 on the container
EXPOSE 8887
# start Jupyter notebook server on port 8887 when the container starts
CMD /bin/bash -c "cd /home/MachineLearningNotebooks && source activate azureml && jupyter notebook --port 8887 --no-browser --ip 0.0.0.0 --allow-root"