Javier Luraschi - 2019-03-15
With much excitement built over the past three years, we are thrilled to share that sparklyr 1.0 is now available on CRAN! The sparklyr package provides an R interface to Apache Spark. It supports dplyr, MLlib, streaming, extensions and many other features; however, this particular release enables the following new features: Arrow enables faster and larger data transfers between Spark and R. XGBoost enables training gradient boosting models over distributed datasets. Broom converts Spark’s models into tidy formats that you know and love. TFRecords writes TensorFlow records from Spark to support deep learning workflows.
With much excitement built over the past three years, we are thrilled to share that sparklyr 1.0 is now available on CRAN!
1.0
The sparklyr package provides an R interface to Apache Spark. It supports dplyr, MLlib, streaming, extensions and many other features; however, this particular release enables the following new features:
sparklyr
Read more at https://blog.rstudio.com/2019/03/15/sparklyr-1-0/
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