Model Versioning - Learn Data Science with Travis

👥 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...

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...

Data and Machine Learning Model Versioning with DVC

Towards Data Science

DVC: It’s a Git, but for Our Data and ML Model Continue reading on Towards Data Science

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...

Identify, version control, and document the best performing model during training

Towards Data Science

Model training can be seen as the generation of subsequent versions of a model — after each batch, the model weights are adjusted, and as a result, a new version of the model is created. Each new…

Versioning data and models in ML projects using DVC and AWS S3

Analytics Vidhya

We will be looking at how DVC can be used to version our data and models in this blog in detail. The code for this blog is available here. For details regarding the model training for Named Entity…

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...

Model Versioning done right: Making your Scikit-learn models reproducible with ModelDB 2.0

Analytics Vidhya

At Verta, we ran our first ModelDB 2.0 webinar last week and it was a lot of fun. This blog post is a recap of the hands-on tutorial part of the webinar. For the full webinar content, check out the…

Application Versioning Strategies

Javarevisited

There are many ways to version applications. Some of them appeared a long time ago and have little sense in web development. Nevertheless, they continue to be used. In this article, we will consider t...

The way you version control your ML projects is wrong

Towards Data Science

How can you version the slightest change you make inside your project, automatically, without even thinking about it.

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 essenc...

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...