Model Versioning - Learn Data Science with Travis

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👥 Edge#153: ML Model Versioning

TheSequence

In this issue: we discuss ML Model Versioning; we explore how Uber backtests and versions forecasting models at scale; we overview Lyft’s Amundsen, an open-sourced data discovery and versioning platfo...

Semantic Versioning

Better Programming

Demystifying SemVer and avoiding “dependency hell” Continue reading on Better Programming

Versioning a system

Analytics Vidhya

Whenever we need to do some API changes that are not backward compatible ie: request params/headers or response object’s structure is changed We don’t usually face many issues with the websites as we…...

Model Rollbacks Through Versioning

Towards Data Science

The Walmart Rollback isn’t the only kind that can save you money Using Model Rollbacks Is Fun! There’s general consensus in the Machine Learning community that models can and have made biased decisio...

Version Control Your ML Model Deployment With Git using Modelbit

Towards Data Science

Develop, deploy, and track! Photo by Yancy Min on Unsplash Introduction Version control is critical to all development processes, allowing developers to track software changes (code, configurations, ...

Data Versioning: All You Need to Know

Towards Data Science

Introduction to Data Versioning with LakeFS command line. lakeFS introduces git-level manageability of your data and introduces CLI and UI interfaces to work with

Version Control ML Model

Towards Data Science

Machine Learning operations (let’s call it mlOps under the current buzzword pattern xxOps) are quite different from traditional software development operations (devOps). One of the reasons is that ML…...

Version Controlling in Practice: Data, ML Model, and Code

Towards Data Science

Version control is a crucial practice! Without it, your project may become disorganized, making it challenging to roll back to any desired point. You risk losing critical model configurations, weights...

Versioning and Labeling — Better Together

Towards Data Science

The key to building powerful machine learning models is learning “the right things from the right data.” Just as we humans constantly take in new information and update what we think about the world…

Branches Are All You Need: Our Opinionated ML Versioning Framework

Towards Data Science

A practical approach to versioning machine learning projects using Git Branches that simplifies workflows and organises data and models TL;DR A simple approach to versioning machine learning projects...

Use semantic versioning

Java Best Practices

Semantic versioning is a well-specified convention used by many software projects, although admittedly the extent to which the convention is followed can vary considerably between projects. In essence...