Posit AI Weblog: pins 0.4: Versioning

A brand new model of pins is out there on CRAN in the present day, which provides assist for versioning your datasets and DigitalOcean Spaces boards!

As a fast recap, the pins bundle permits you to cache, uncover and share sources. You should utilize pins in a variety of conditions, from downloading a dataset from a URL to creating complicated automation workflows (be taught extra at You can too use pins together with TensorFlow and Keras; as an example, use cloudml to coach fashions in cloud GPUs, however slightly than manually copying information into the GPU occasion, you’ll be able to retailer them as pins immediately from R.

To put in this new model of pins from CRAN, merely run:

Yow will discover an in depth checklist of enhancements within the pins NEWS file.

For instance the brand new versioning performance, let’s begin by downloading and caching a distant dataset with pins. For this instance, we’ll obtain the climate in London, this occurs to be in JSON format and requires jsonlite to be parsed:

RStudio Connect and Kaggle boards, even for current pins! Different boards like Amazon S3, Google Cloud, Digital Ocean and Microsoft Azure require you explicitly allow versioning when registering your boards.

To check out the brand new DigitalOcean Spaces board, first you’ll have to register this board and allow versioning by setting variations to TRUE:

Versioning and DigitalOcean articles. To meet up with earlier releases:

Thanks for studying alongside!

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