Microsoft R Server 9.0 now available

December 7, 2016
By

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

Microsoft R Server 9.0, Microsoft's R distribution with added big-data, in-database, and integration capabilities, was released today and is now available for download to MSDN subscribers. This latest release is built on Microsoft R Open 3.3.2, and adds new machine-learning capabilities, new ways to integrate R into applications, and additional big-data support for Spark 2.0.

This release includes a brand new R package for machine learning: MicrosoftML. This package provides state-of-the-art, fast and scalable machine learning algorithms for common data science tasks including featurization, classification and regression. Some of the functions provided include:

  • Fast linear and logistic model functions based on the Stochastic Dual Coordinate Ascent method;
  • Fast Forests, a random forest and quantile regression forest implementation based on FastRank, an efficient implementation of the MART gradient boosting algorithm;
  • A neural network algorithm with support for custom, multilayer network topologies and GPU acceleration;
  • One-class anomaly detection based on support vector machines.

You can learn more about MicrosoftML at this live webinar on Wednesday, December 14.

The RevoScaleR package, which provides big-data support for Microsoft R Server, has been updated to support Spark 2.0 (This is in addition to existing support for in-database computations with SQL Server and Teradata.) New functions allow you to connect to a Hive, Parquet or Spark DataFrame data source, and execute data manipulation and predictive modeling tasks directly on the data as it resides within Spark.

Microsoft R Server also sports new capabilities to integrate R functions into other applications. (This is the results of enhancements to the former DeployR project, which is now part of Microsoft R Server.) Microsoft R Server can now host R functions exposed as web services: data scientists can publish R functions to the R Server, which can then be accessed from any application. Application developers can integrate those R functions into their applications using easy-to-consume Swagger-based APIs from any programming language.

R Client

Also released today is the free Microsoft R Client 3.3.2. This is a desktop edition of Microsoft R Server 9.0, designed for local data science development and remote execution on local servers and in the cloud. It includes the same MicrosoftML package as Microsoft R Server. The RevoScaleR package in Microsoft R Client is limited in data size when computing locally, but can shift computations to a remote Microsoft R Server when working with larger data sets. It also includes the new mrsdeploy package, so you can remote-execute any R code on the remote R Server, or even publish R functions as a Web service.

For a complete list of changes, see What's New in R Server 9.0.1. And for more on the release of Microsoft R Server 9.0, check out the blog post linked below.

Cortana Intelligence and Machine Learning Blog: Introducing Microsoft R Server 9.0

To leave a comment for the author, please follow the link and comment on their blog: Revolutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)