Contribute to PipelineAI¶
Want to join the PipelineAI Community?
We will gladly accept pull requests for implementations of popular ML/AI models, fast prediction runtimes, and flexible experimentation frameworks.
Click HERE for the active list of outstanding PipelineAI issues and feature requests..
Creating a Pull Request¶
Create a Branch for Your Changes¶
git branch <branch-name>
Verify New Branch is Created¶
git branch ### EXPECTED OUTPUT ### * master <-- this is current branch <branch-name>
Switch to Your New Branch¶
git checkout <branch-name> ### EXPECTED OUTPUT ### Switched to branch '<branch-name>'
Verify That You're on the Branch¶
git branch master * <branch-name> <-- you are now on the new branch
Make Your Branch Changes¶
Verify Branch Changes¶
Prepare (Add) Your Branch Changes for Commit¶
git add ...
Commit Your Branch Changes Locally¶
git commit -m "<descriptive-message>"
Push Your Branch Changes Remotely¶
git push -u origin <branch-name> ### EXPECTED OUTPUT ### # Counting objects: 8, done. # Delta compression using up to 8 threads. # Compressing objects: 100% (6/6), done. # Writing objects: 100% (8/8), 684 bytes | 0 bytes/s, done. # Total 8 (delta 2), reused 0 (delta 0) # remote: Resolving deltas: 100% (2/2), completed with 1 local objects. # To github.com:fluxcapacitor/pipeline.git # * [new branch] <branch-name> -> <branch-name> #Branch <branch-name> set up to track remote branch <branch-name> from origin.
Permission denied (publickey)or
Please make sure you have the correct access rights, follow the steps detailed here.
Submit a Pull Request with Github Server UI¶
- Compare your
masterbranch on Github Server
Fix the Pull Request if Needed based on Comments¶
Wait for Committer to Merge Pull Request (within Github UI)¶
Delete the Branch (from both Local and Remote Github)¶
Go Back to
git checkout master
Delete Remote Branch
git push origin --delete <branch-name>
Delete Local Branch
git branch -d <branch-name>
License and Datasets¶
- Your work should be open source under a liberal license (ie. Apache2, MIT)
- Please use public training and validation datasets so that others can easily replicate your work.
Register for PipelineAI Enterprise Edition¶