DFFML is hoping to participate in Google Summer of Code under the Python Software Foundation umbrella. You can read all about what GSoC is at http://python-gsoc.org/ and https://summerofcode.withgoogle.com/how-it-works/#timeline
DFFML is a plugin based library / framework for machine learning. It allows users to wrap high or low level implementations of models that use various machine learning libraries, so as to interact will lots of different model implementations in the same way.
DFFML is also a tool for dataset generation. DFFML ues directed graphs to generate and modify datasets.
Read more on the about page: https://intel.github.io/dffml/master/about.html
We currently have the following project ideas:
If you’ve got a idea you’d like to propose, please make a new issue with the gsoc: project: prefix to discuss it! We’re open to all sorts of ideas. Students are also welcome to add “stretch goal” ideas to their application, which don’t have to be related to their main proposal (but still have to result in contributions to DFFML). Stretch goals are for if you finish your proposed project before the end of the summer, and have more that you want to do.
Read the doc:/contributing/index documentation.
Get your development environment set up
Go through the tutorials on the documentation site, make sure you’re familiar with the command line interface.
Run the quickstart.
Run the examples for the various models found on the model plugins page
Run the tests. DFFML has unit tests and we track coverage (amount of lines of code tested). Make sure you know how to run them, and if you’ve never done Python unittests before you might want to read up on python’s unittest library. Figure out how to run a single test! Running one test instead of all of them will speed up your workflow when you are writing your tests! (hint, it’s in the contributing docs!)
Make your first contribution!
Don’t be afraid to not get it right on the first try. If we all got everything right on the first try there would be no bugs in software. And there are LOTS of bugs in software.
Doesn’t have to be related to your project. Just make sure we know that you understand how to interact with the community, codebase, and GitHub. If you’re not familiar that’s okay! We’ll show you the ropes, but you have to jump in the pool if you want to learn how to swim.
You could start with some small and extra small issues (time wise).
You could help us increase the test coverage in any of the packages (check out the python package coverage to learn how to do this).
You could write a new operation to do something! Anything! Operations to grab weather and stock data have been suggested by people as good ideas.
Writing your GSoC application¶
Instructions on How to apply can be found on the Python GSoC website. Please don’t forget to use our name (dffml) in your application title!
In your proposal, we’re looking to see:
What work you want to get done.
How long you think it will take you.
Why you think it will take you that long.
When estimating how long it will take you it helps to think about any contributions to DFFML you’ve done up until now and compare what you’re proposing to what you’ve done.
See the milestones prefixed with “GSoC 2021” https://github.com/intel/dffml/milestones?direction=desc&sort=due_date&state=open
Please see the Proposal Grading Rubric page for the project proposal grading rubric.
Contacting the DFFML team¶
We run a weekly meeting that we encourage everyone to join. We get people started and do debugging.
If we’re not responding, we may be busy and forgotten about your message. Ping us again. In the meantime, try to think about approaching your problem from a different angle. And when in doubt use the source! Reading the source of something you’re importing or using can be very helpful in figuring out your problem.
This years mentors are as follows.