Thanks for your interest Daiki. I created two JIRAs SYSTEMML-2233 and SYSTEMML-2232 that might me a good starting point. I would recommend to begin with 2233 as a basic cleanup task, which is meant to get you comfortable. The other task is then a bit more involved but would improve our function namespace handling (e.g., for better statistics outputs).
If you are mostly interested in working on the Python APIs, an awesome project would be to include the Python MLContext API into our testsuite (or a separate Python testsuite). @Niketan: Do you have more thoughts on that? Our dev environment anyway requires Python for the distribution build. Regarding the development environment, you would typically clone the repository, setup your preferred IDE and work on local branches for new features. Once a change is ready for review, you submit a PR which automatically triggers a run of our testsuite on our jenkins infrastructure. You can also run these tests locally through maven or directly through junit, which is especially useful for debugging. The same applies for Python as well but as mentioned above the Python API is not yet part of the automated testsuite, so yes changes there involve semi-manual testing. The issue you've encountered with Java 9 might be related to [1]. I just gave it a try and core SystemML compiles and runs fine with Java 9 when build directly through the IDE. If it's related to Scala, we should find and discuss a resolution for our next 1.2 release. [1] https://stackoverflow.com/questions/49016074/systemml-build-failed-on-macos Regards, Matthias From: Daiki Matsunaga/Japan/IBM To: dev@systemml.apache.org, Matthias Boehm1/US/IBM@IBM Date: 04/03/2018 12:46 AM Subject: Request for a beginner JIRA HI everyone, My name is Daiki from IBM Japan and I'm just starting out with building/going through some examples so I can get used to the project before contributing. Request for JIRA I would like some guidance on choosing which JIRA issue to choose from. I don't have any strong preference for which part of SystemML to contribute,but Questions I apologize in advance if this is too simple but what are the basic steps involved during the iteration of development, build, test, especially for Python. For example, do you write out code in Java or Python on the source (e.g. a feature branched out from master), build, and pip install and then check on Jupyter notebook? Or do you directly edit the Python code that is generated after pip install? Some things I noticed during install/build Problem: It says Java 8+ is required but Java 9 does not work. With Java 9 installed on my machine(Mac OS Sierra 10.12.5. ), there was a build failure with "mvn clean package" as well as in the pyspark shell with "ml = MLContext(sc)". This would be an issue with the current documentation since it automatically downloaded Java 9 with "brew install Caskroom/cask/java". Solution: Since I had both versions of Java, I set the bash profile Java environment variable to the following and it worked: export JAVA_HOME="$(/usr/libexec/java_home -v 1.8)" ＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝ Daiki Matsunaga Cognitive AI GBS, IBM Japan Phone: 050-3150-7460 / 080-5915-7460 E-mail: e36...@jp.ibm.com ＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝
