Merge branch 'artifact' of github.com:microsoft/recommenders into art…

…ifact

docker/Dockerfile

@@ -30,7 +30,7 @@ RUN wget ${CMAKE} -O cmake.tgz && \
     rm -rf cmake
 
 # Install Anaconda
-ARG ANACONDA="https://repo.continuum.io/miniconda/Miniconda3-4.6.14-Linux-x86_64.sh"
+ARG ANACONDA="https://repo.continuum.io/miniconda/Miniconda3-4.7.12.1-Linux-x86_64.sh"
 RUN curl ${ANACONDA} -o anaconda.sh && \
     /bin/bash anaconda.sh -b -p conda && \
     rm anaconda.sh && \

docker/README.md

@@ -3,11 +3,15 @@ Docker Support
 The Dockerfile in this directory will build Docker images with all the dependencies and code needed to run example notebooks or unit tests included in this repository.
 
 Multiple environments are supported by using [multistage builds](https://docs.docker.com/develop/develop-images/multistage-build/). In order to efficiently build the Docker images in this way, [Docker BuildKit](https://docs.docker.com/develop/develop-images/build_enhancements/) is necessary.
-The following examples show how to build and run the Docker image for CPU, PySpark, and GPU environments. Note on some platforms, one needs to manually specify the environment variable for `DOCKER_BUILDKIT`to make sure the build runs well. For example, on a Windows machine, this can be done by the powershell command as below, before building the image
+The following examples show how to build and run the Docker image for CPU, PySpark, and GPU environments. 
+
+<i>Note:</i> On some platforms, one needs to manually specify the environment variable for `DOCKER_BUILDKIT`to make sure the build runs well. For example, on a Windows machine, this can be done by the powershell command as below, before building the image
 ```
 $env:DOCKER_BUILDKIT=1
 ```
 
+<i>Warning:</i> On some platforms using Docker Buildkit interferes with Anaconda environment installation. If you find that the docker build is hanging during Anaconda environment setup stage try building the container without Buildkit enabled.
+
 Once the container is running you can access Jupyter notebooks at http://localhost:8888.
 
 Building and Running with Docker
@@ -77,5 +81,5 @@ Running tests with docker
 -------------------------
 
 ```
-docker run -it recommenders:cpu pytests tests/unit -m "not spark and not gpu and not notebooks"
+docker run -it recommenders:cpu pytest tests/unit -m "not spark and not gpu and not notebooks"
 ```