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Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = git@github.com:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:

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# create and activate environment
virtualenv pandas_like_ml
source pandas_like_ml/bin/activate

# install your desired libraries
pip install --upgrade pip
pip install scikit-learn==0.21.1
pip install pandas==0.19.1

# the main event

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# an example Dockerfile

# you can specify a base image as a foundation to build on
FROM ubuntu:16.04

# make a partition, and specify the working directory
VOLUME /opt
WORKDIR /opt

# install some base system packages

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docker build \
    -t my_first_container \
    -f Dockerfile

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docker run \
    --rm \
    -it \
    my_first_container

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docker run \
    --mount type=bind,source="$(pwd)",target=/opt \
    --mount type=bind,source=${CORPORA_DIR},target=/corpora \
    -p ${JUPYTER_PORT}:${JUPYTER_PORT} \
    -ti \
    --rm \
    my_advanced_container \
    jupyter-lab \
        --allow-root \
        --ip=0.0.0.0 \

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# the "graph.png" target specifies "graph.dot" as a dependency
# when "graph.png" is invoked, it invokes "graph.dot" only if necessary

graph.png: graph.dot
    dot graph.dot -Tpng > graph.png

# the "graph.dot" target specifies "make_graph.py" as a dependency
# so, this command is only re-run when...
#   1) make_graph.py changes
#   2) graph.dot is not present

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# base image
FROM tensorflow/magenta

# set partition and working directory
VOLUME /opt
WORKDIR /opt

# install base system packages
RUN apt-get update && apt-get install -y \
    vim \

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jupyterlab
seaborn
scikit-learn
matplotlib
pyaudio

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# use the name of the current directory as the docker image tag
DOCKERFILE ?= Dockerfile
DOCKER_TAG ?= $(shell echo ${PWD} | rev | cut -d/ -f1 | rev)
DOCKER_IMAGE = ${DOCKER_USERNAME}/${DOCKER_REPO}:${DOCKER_TAG}

$(DOCKERFILE): requirements.txt
    docker build \
        -t ${DOCKER_IMAGE} \
        -f ${DOCKERFILE} \
        .