👨🏻💻 Setup CI/CD in your machine learning projects using these simple yet powerful “♾️ CML commands”:
🔄 ci
🏃♂️ runner
⤴️ pr
💬 comment
🧑🏼🏫 tensorboard
@Iterativeai @DVCorg
#cml #tensorboard #opensource
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🔄 ci
The “cml ci” command prepares the whole repository for CML operations after creating the cml.yaml file
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🏃♂️ runner
When a workflow requires computational resources, CML can automatically allocate cloud instances using “cml runner”. You can spin up instances on AWS, Azure, GCP, Kubernetes or any other provider. We can start a runner using “cml runner launch” command.
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⤴️ pr
We can also commit specified files to a new branch and create a pull request using “cml pr create” command.
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💬 comment
We can effortlessly post a Markdown report as a comment on a commit or pull/merge request with “cml comment create” command.
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🧑🏼🏫 tensorboard
The “cml tensorboard connect” returns a link to a tensorboard.dev page.
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👨🏻💻 Thanks for reading till here!
You can head straight to the docs to start integrating all these features in your projects 👇
cml.dev/doc/ref
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