Przemysław Biecek and Szymon Maksymiuk added a new chapter to the mlr3 book on how to analyze machine learning models fitted with mlr3 using the excellent DALEX package. The contributed chapter covers an analysis of a random regression forest (impl...

Przemysław Biecek and Szymon Maksymiuk added a new chapter to the mlr3 book on how to analyze machine learning models fitted with mlr3 using the excellent DALEX package. The contributed chapter covers an analysis of a random regression forest (impl...

As you know, I love hackathons. And what better opportunity of joining one of them when you can generate something that is essentially helpful? In light of the current Covid19 crisis, HackZurich organized the CodeVsCovid19 hackathon and brought togethe...

Having recently acquired a new laptop, an Entroware Proteus (shown below), I had to remind myself how to set-it-up for my needs. This includes the usual things like document editing, web browsing and email. But as much of my work involves developin...

Background Libraries Open Data Historical Job Postings Job Ontologies Prototyping Munging Extracting the terms Extracting the relevant adverts Extracting related skills Conclusions Creating a database Populating our database Using the database Functions for querying Getting the jobid’s Trying it out dbplyr and SQL syntax Turning it all into an ...

Background Libraries Open Data Historical Job Postings Job Ontologies Prototyping Munging Extracting the terms Extracting the relevant adverts Extracting related skills Conclusions Creating a database Populating our database Using the database Functions for querying Getting the jobid’s Trying it out dbplyr and SQL syntax Turning it all into an ...

Are you trying to save and load your DL model or a big dataset in R? Here we show you a performance boost to your scripts and reduction in disk memory storage with the FST CRAN package. We are going to benchmark it with R base functions (csv and RDS ...

Przemysław Biecek and Szymon Maksymiuk added a new chapter to the mlr3 book on how to analyze machine learning models fitted with mlr3 using the excellent DALEX package. The contributed chapter covers an analysis of a random regression forest (imp...

I have decided that the world needs another Covid-19 related R package. Not sure whether you agree, but the new package facilitates the direct download of various Covid-19 related data (including data on governmental measures) directly from authoritative sources. It also provides a flexible function and accompanying shiny app to ...

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) ...

When we visualize precipitation and temperature anomalies, we simply use time series as bar graph indicating negative and positive values in red and blue. However, in order to have a better overview we need both anomalies in a single graph. In this ...

When we visualize precipitation and temperature anomalies, we simply use time series as bar graph indicating negative and positive values in red and blue. However, in order to have a better overview we need both anomalies in a single graph. In this way we could more easly answer the question ...

Table of Contents Introduction Model SEIR Model Population Mobility Model Model Assumptions Data Simulation Visualisation Scenario-based Simulations Introduction A couple weeks ago, I have written an article about simulating coronavirus outbreak in Tokyo using Origin-Destination (OD) matrix, population mesh data and a simple SIR model with some assumptions. I shared ...

I’m writing a series of posts on various function options of the glmnet function (from the package of the same name), hoping to give more detail and insight beyond R’s documentation. In this post, instead of looking at one of … Continue reading →