anchor.diff:      pip install --upgrade pip && \
       /tmp/clean-layer.sh
   
  +# Make sure the dynamic linker finds the right libstdc++
  +ENV LD_LIBRARY_PATH=/opt/conda/lib
  +# b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.
  +ENV PROJ_LIB=/opt/conda/share/proj
  +
  +# Disable deep conda dependency checks
  +# RUN conda config --set unsatisfiable_hints_check_depth 1
  +
  +# Install conda packages not available on pip.
  +# When using pip in a conda environment, conda commands should be ran first and then
  +# the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
  +RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph && \
  +    conda install -c h2oai h2o && \
  +    conda install -c pytorch pytorch torchvision torchaudio cpuonly && \
  +    /tmp/clean-layer.sh
  +
   # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
   # b/150498764 distributed 2.11.0 fails at import while trying to reach out to 8.8.8.8 since the network is disabled in our hermetic tests.
   RUN pip install distributed==2.10.0 && \
  +    # b/145358669 remove --upgrade once we upgrade base image which will include numpy >= 1.17
  +    pip install --upgrade numpy && \
       pip install seaborn python-dateutil dask && \
       pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
       pip install pandas && \
  
positive.code:     pip install gensim && \
      pip install textblob && \
      pip install wordcloud && \
      conda install -y -c conda-forge python-igraph && \
      pip install xgboost && \
      # Pinned to match GPU version. Update version together.
      pip install lightgbm==2.3.1 && \
  
negative.code:     apt-get install -y pandoc && \
      pip install git+git://github.com/scikit-learn-contrib/py-earth.git@issue191 && \
      pip install essentia && \
      /tmp/clean-layer.sh
  
  # vtk with dependencies
  