Building MLeap From Source
MLeap is hosted on Github as a public project. Building MLeap is very straightforward and has very few dependencies. Here are instructions for building from source.
Install SBT
Install Simple Build Tool, which is used to build many Scala projects.
Compiling Core MLeap
The core of MLeap includes every submodule except for Tensorflow integration. We do not include Tensorflow in the core build because its dependencies can be difficult to install.
Clone the Github Repository
git clone https://github.com/combust/mleap.git
cd mleap
Initialize Git Submodules
MLeap depends on a git submodule for all of the protobuf definitions, so we need to initialize and update them.
git submodule init
git submodule update
Compile MLeap
There are many submodules that make up the MLeap project. All of them are aggregated to the root SBT project. This means running a command from SBT will cause the command to be run on all subprojects.
sbt compile
Run the Tests
MLeap has exensive testing, including full parity tests between MLeap and Spark transformers.
sbt test
Compiling Tensorflow Support
Compiling the mleap-tensorflow submodule does not happen
automatically. Instead, we first need to compile Tensorflow and install
the Tensorflow Java jar to our local maven2 repository.
Compile/Install Tensorflow
Tensorflow has a great set of instructions for compiling and installing.
Build Tensorflow MLeap Module
sbt mleap-tensorflow/compile
Run Tensorflow Integration Tests
TENSORFLOW_JNI=/path/to/tensorflow/library/folder/java sbt mleap-tensorflow/test