Posit AI Blog site: pins 0.4: Versioning

A brand-new variation of pins is readily available on CRAN today, which includes assistance for versioning your datasets and DigitalOcean Areas boards!

As a fast wrap-up, the pins plan enables you to cache, find and share resources. You can utilize pins in a large range of scenarios, from downloading a dataset from a URL to producing complicated automation workflows (discover more at pins.rstudio.com). You can likewise utilize pins in mix with TensorFlow and Keras; for example, usage cloudml to train designs in cloud GPUs, however instead of by hand copying files into the GPU circumstances, you can save them as pins straight from R.

To install this brand-new variation of pins from CRAN, merely run:

You can discover a breakdown of enhancements in the pins NEWS file.

To show the brand-new versioning performance, let’s begin by downloading and caching a remote dataset with pins. For this example, we will download the weather condition in London, this takes place to be in JSON format and needs jsonlite to be parsed:

Google Cloud, Digital Ocean and Microsoft Azure need you clearly allow versioning when registering your boards. To experiment with the brand-new DigitalOcean Spaces board, initially you will need to register this board and allow versioning by setting variations to REAL

: library( pins) board_register_dospace( area =” pinstest”

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