A brand new model of pins is accessible on CRAN at the moment, 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 assets. You should utilize pins in a variety of conditions, from downloading a dataset from a URL to creating complicated automation workflows (study extra at pins.rstudio.com). You can too use pins together with TensorFlow and Keras; as an example, use cloudml to coach fashions in cloud GPUs, however moderately than manually copying recordsdata into the GPU occasion, you possibly can retailer them as pins instantly from R.

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

You’ll find an in depth checklist of enhancements within the pins NEWS file.

As an 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 present 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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