  In this work we detail a novel open source library, called MMLSpark, that
combines the flexible deep learning library Cognitive Toolkit, with the
distributed computing framework Apache Spark. To achieve this, we have
contributed Java Language bindings to the Cognitive Toolkit, and added several
new components to the Spark ecosystem. In addition, we also integrate the
popular image processing library OpenCV with Spark, and present a tool for the
automated generation of PySpark wrappers from any SparkML estimator and use
this tool to expose all work to the PySpark ecosystem. Finally, we provide a
large library of tools for working and developing within the Spark ecosystem.
We apply this work to the automated classification of Snow Leopards from camera
trap images, and provide an end to end solution for the non-profit conservation
organization, the Snow Leopard Trust.
