| title | Build System Commands |
|---|---|
| hide_title | true |
| sidebar_label | Build System Commands |
| description | SynapseML Development Setup |
- Install JDK 11
- You may need an Oracle login to download.
- Install SBT
- Fork the repository on github
- See how to here: Fork a repo - GitHub Docs
- Clone your fork
git clone https://github.com/<your GitHub handle>/SynapseML.git- This will automatically add your fork as the default remote, called
origin
- Add another Git Remote to track the original SynapseML repo. It's recommended to call it
upstream:git remote add upstream https://github.com/microsoft/SynapseML.git- See more about Git remotes here: Git - Working with remotes
- Go to the directory where you cloed the repo (e.g.,
SynapseML) withcd SynapseML - Run sbt to compile and grab datasets
sbt setup
- Install IntelliJ
- Configure IntelliJ
- Install Scala plugin during initialization
- OPEN the synapseml directory from IntelliJ
- If the project does not automatically import,click on
build.sbtand import project
- Prepare your Python Environment
- Install Miniconda
- Note: if you want to run conda commands from IntelliJ, you may need to select the option to add conda to PATH during installation.
- Activate the
synapsemlconda environment by runningconda env create -f environment.yamlfrom thesynapsemldirectory.
NOTE
If you will be regularly contributing to the SynapseML repo, you'll want to keep your fork synced with the upstream repository. Please read this GitHub doc to know more and learn techniques about how to do it.
To use secrets in the build you must be part of the synapsemlkeyvault
and azure subscription. If you are MSFT internal would like to be
added please reach out mmlspark-support@microsoft.com
Compiles the main, test, and integration test classes respectively
Runs all synapsemltests
Runs scalastyle check
Generates documentation for scala sources
Creates a conda environment synapseml from environment.yaml if it does not already exist.
This env is used for python testing. Activate this env before using python build commands.
Removes synapseml conda env
Compiles scala, runs python generation scripts, and creates a wheel
Generates documentation for generated python code
Installs generated python wheel into existing env
Generates and runs python tests
Downloads all datasets used in tests to target folder
Combination of compile, test:compile, it:compile, getDatasets
Packages the library into a jar
Publishes Jar to synapseml's azure blob based maven repo. (Requires Keys)
Publishes library to local maven repo
Publishes scala and python doc to synapseml's build azure storage account. (Requires Keys)
Publishes the library to sonatype staging repo
Promotes the published sonatype artifact