Special thanks to @mertbozkirr for leading the Hacktoberfest charge!
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๐น Closure Session 2 event
Our Community Champion @jcpsantiago gave an introduction to DVC in preparation for the remainder of the session where @carsten_behring, author of Metamorph presents how NLP pipelines can be managed with DVC, Closure & Python.
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โพ๏ธ CML at NeurIps
Well, this work will be presented within the virtual Workshop Challenges In Deploying and Monitoring Machine Learning Systems at NeurIps virtual this year on December 9th.
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๐ฌ๐ง MLOps Summit London
We were also part of the MLOps Summit in London!
Aside from attending a variety of great talks, we met many wonderful people from around the world resulting in some really interesting discussions around MLOps.
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๐บ๐ธ ODSC West
We had great conversations with conferencegoers and attended great sessions!
Dmitry had a packed room for his in-person talk Why You Need a GitOps-based Machine Learning Model Registry and Alex Kim presented CI/CD for Machine Learning virtually.
For all the devs out there willing to contribute to DVC, here is a quick guide to contributing to iterative/dvc repo
๐ Open a new issue
๐ป Set up a dev environment
๐ด Fork iterative/dvc
๐งช Add tests and run them locally
โฌ๏ธ Submit a pull request @iterativeai
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๐ Open a new issue
Open a new issue in the issue tracker, whether it be a bug report or a feature request. ๐๐ฝ github.com/iterative/dvc/โฆ
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๐ด Fork iterative/dvc
Fork iterative/dvc and then clone it into your local computer to start contributing.
๐ฆ Here are some of the cool commands you can try out right now in the DVC command line interface!
๐ป dvc dag
๐ง dvc freeze
๐ฆ dvc move
๐ dvc metrics show
๐งน dvc gc
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๐ป dvc dag
๐๐๐ ๐๐๐ is very helpful in quickly checking out the stages of a pipeline up to the target stage in a simple visual representation. If the target is omitted, it will show the full project DAG.
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๐ง dvc freeze
๐๐๐ ๐๐๐๐๐ฃ๐ helps us to freeze stages until ๐๐๐ ๐๐๐๐๐๐๐ฃ๐ is used on them. Frozen stages are never executed by ๐๐๐ ๐๐๐๐๐.
๐ฆ Did you hear? By popular demand, CML.dev now supports @Bitbucket Pipelines, rounding out our coverage of the leading version control platforms! ๐
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You can get started with CML in @Bitbucket by forking this repo and cloning it to your local workstation.
Quickly run new experiments and compare their resulting metrics in the experiments table. Use the command palette or buttons to run new experiments, or add them to the queue for later.