liveBook · Manning

Versioning

As explained in Data Without Labels

Version control is the systematic management of changes to files, especially source code, so revisions can be tracked, compared, and recovered.

Version control systematically manages changes to code and other files so revisions remain trackable, reproducible, and recoverable during model deployment. section 11.14 section 11.15

Use version control to support reliable model operations:

  • Check code in regularly to protect work from computer failures. section 11.15
  • Preserve prior versions so a problematic release can be rolled back. section 11.14
  • Keep code clean, commented, documented, and aligned with future iterations. section 11.15

A practical tool choice

Git is a common option for version controlling code, while documentation can use tools such as Word, PowerPoint, or Confluence. section 11.15

How Data Without Labels covers it

How deep it goes
Explains the operational rationale and tool choice, but stops short of command-level workflows or repository internals.
Examples
Uses Git, regular code check-ins, documented code, and rollback to a previous model version.
What it assumes
Assumes deployed-model and code-documentation contexts, while treating version control itself as a practical deployment safeguard.
What you can do after
Operate Git or another version-control tool to safeguard code, support reproducibility, and restore earlier versions.
How it connects
Connects version control with reproducibility, documentation, continuous integration and deployment, model maintenance, and rollback.

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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Data Without Labels. The section links point to the parts of the book it draws on.