examples/xgboost_synthetic/Dockerfile

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Docker

# Create docker image for the demo
#
# This docker image is based on existing notebook image
# It also includes the dependencies required for training and deploying
# this way we can use it as the base image
FROM gcr.io/kubeflow-images-public/tensorflow-1.12.0-notebook-cpu:v0.5.0
USER root
COPY requirements.txt .
RUN pip3 --no-cache-dir install -r requirements.txt
RUN apt-get update -y
RUN apt-get install -y emacs
RUN pip3 install https://storage.googleapis.com/ml-pipeline/release/0.1.20/kfp.tar.gz
# Checkout kubeflow/testing because we use some of its utilities
RUN mkdir -p /src/kubeflow && \
cd /src/kubeflow && \
git clone https://github.com/kubeflow/testing.git testing
USER jovyan