September 13, 2022 |
With the vetiver package, data scientists have a streamlined, consistent way to maintain machine learning pipelines. We recently updated our Bike Share prediction application using vetiver and Quarto.
June 15, 2022 |
In this post, we walk through the tools and functionality we used to automate survey results reporting.
June 2, 2022 |
We are so happy to announce the release of pins for Python. You can use pins to publish, version, and share objects such as datasets and models.
December 15, 2021 |
The pins package publishes R objects, such as data sets and predictive models, on a virtual corkboard so that you can share and reuse them easily and safely.
October 4, 2021 |
pins 1.0.0 is now available on CRAN! The pins package publishes data, models, and other R objects, making it easy to share them across projects and with your colleagues. Pins can be versioned, making it straightforward to track changes, re-run analyses on historical data, and undo mistakes.
August 23, 2021 |
A new release of pins is available on CRAN today. This release adds support to time travel across dataset versions, which improves collaboration and protects your code from breaking when remote resources change unexpectedly.
April 8, 2021 |
Model monitoring is a key component of ModelOps, and the R ecosystem offers flexible, code-first solutions that meet the model monitoring needs of data science practitioners.
November 28, 2019 |
New CRAN release for pins adds support for cloud boards (Azure, Google Cloud and S3), new functions, use cases and many other improvements.