Tag: GitHub

Feed: R-bloggers. Author: Random R Ramblings. [This article was first published on Random R Ramblings, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. The first official release of poorman (v 0.1.9) is now on CRAN! You can now install poorman directly from CRAN with the following code: install.packages("poorman") In this blog post I want to address some common questions that I have received since I started writing the package. poorman is a package ... Read More

Feed: R-bloggers. Author: Nagdev. [This article was first published on R – Hi! I am Nagdev, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In last few years, AutoML or automated machine learning as become widely popular among data science community. Big tech giants like Google, Amazon and Microsoft have started offering AutoML tools. There is still a split among data scientists when it comes to AutoML. Some fear that it is going ... Read More

Feed: R-bloggers. Author: Sebastian Heinz. [This article was first published on r-bloggers | STATWORX, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Recently, some colleagues and I attended the 2-day COVID-19 hackathon #wirvsvirus, organized by the German government. Thereby, we’ve developed a great application for simulating COVID-19 curves based on estimations of governmental measure effectiveness (FlatCurver). As there are many COVID-related dashboards and visualizations out there, I thought that gathering the underlying data ... Read More

Feed: R-bloggers. Author: Keith Goldfeld. [This article was first published on ouR data generation, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Of course, we’re all thinking about one thing these days, so it seems particularly inconsequential to be writing about anything that doesn’t contribute to solving or addressing in some meaningful way this pandemic crisis. But, I find that working provides a balm from reading and hearing all day about the events ... Read More

Feed: AWS Compute Blog. Author: James Beswick. This post is courtesy of Norm Johanson, Senior Software Development Engineer, AWS SDKs and Tools.From today, you can develop AWS Lambda functions using .NET Core 3.1. You can deploy to Lambda by setting the runtime parameter value to dotnetcore3.1. Version 1.17.0.0 AWS Toolkit for Visual Studio and version 4.0.0 of the .NET Core Global Tool Amazon.Lambda.Tools are also available today. These make it easy to build and deploy your .NET Core 3.1 Lambda functions. New features of .NET Core 3.1 .NET Core 3.1 brings many new runtime features to Lambda including C# 8.0 and ... Read More

Feed: Clustrix Blog. Author: Rob Hedgpeth. Today we announced the immediate availability of MariaDB SkySQL, the first DBaaS (database-as-a-service) to unlock the full power of MariaDB Platform on an industry-leading, cloud-native architecture. SkySQL delivers the “MariaDB in the cloud” experience customers have been waiting for – fully featured, fully customizable and backed by world-class support and database expertise from the source, the engineers who built it.MariaDB Enterprise Server, part of MariaDB Platform, is a 100% Open Source modern SQL database. MariaDB Enterprise Server 10.4 extends the capabilities of the widely-deployed MariaDB Community Server with enterprise-focused advanced features, optimized builds, and ... Read More

Feed: R-bloggers. Author: Hong Ooi. [This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. This post is to announce that version 1.5.0 of the foreach package is now on CRAN. Foreach is an idiom that allows for iterating over elements in a collection, without the use of an explicit loop counter. The foreach package is now more than 10 years old, and is used by nearly 700 ... Read More

Feed: Microsoft Azure Blog. Author: Yousef Khalidi. Cloud, edge computing, and IoT are making strides to transform whole industries and create opportunities that weren't possible just a few years ago. With the rise of 5G mobile connectivity, there are even more possibilities to deliver immersive, real-time experiences that have demanding, ultra-low latency, and connectivity requirements. 5G opens new frontiers with enhanced mobile broadband up to 10x faster, reliable low-latency communication, and very high device density up to 1 million devices per square kilometer. Today we’re announcing transformative advances to combine the power of Azure, 5G, carriers, and technology partners around ... Read More

Feed: R-bloggers. Author: Paul van der Laken. Grant McDermott develop this new R package I had thought of: parttree parttree includes a set of simple functions for visualizing decision tree partitions in R with ggplot2. The package is not yet on CRAN, but can be installed from GitHub using: # install.packages("remotes") remotes::install_github("grantmcdermott/parttree") Using the familiar ggplot2 syntax, we can simply add decision tree boundaries to a plot of our data. In this example from his Github page, Grant trains a decision tree on the famous Titanic data using the parsnip package. And then visualizes the resulting partition / decision boundaries using the simple ... Read More

Feed: R-bloggers. Author: the Geocomputation with R website. This post explains how to quickly get key R packages for geographic research installed on Ubuntu, a popular Linux distribution. A recent thread on the r-spatial GitHub organization alludes to many considerations when choosing a Linux set-up for work with geographic data, ranging from the choice of Linux distribution (distro) to the use of binary vs or compiled versions (binaries are faster to install). This post touches on some of these things but, its main purpose is to provide advice on getting R’s key spatial packages up-and-running on a future-proof Linux operating ... Read More