Author: Gary Hutson

Feed: R-bloggers. Author: Gary Hutson. The NHS-R Virtual Conference concluded this week and we have had a number of excellent speakers from the Health & Social Care sector, alongside working with key partners of interest. It kicked off with a full day jammed packed of speakers from all over the NHS. The second day we had international speakers from the US, Australia and other European countries. The keynotes this year were provided by Professor Frank Harrell who did an excellent talk on “statistical mistakes to avoid” and Julia Silge @RStudio discussing “Preparing and processing text for Machine Learning”. I was ... Read More

Feed: R-bloggers. Author: Gary Hutson. People have been telling me not to teach caret anymore, albeit I do teach TidyModels as well. Their argument is that TidyModels is new and shiny and we should be using the most up to date tools. I get this justification, but is caret really dead? My answer is “not by a long shot!“. Hats off to Max Kuhn and the team for rolling out these awesome packages and without Max, modelling in R would not be as easy and fun. How they stack up? This is not really a fair comparison, as CARET is ... Read More

Feed: R-bloggers. Author: Gary Hutson. I have put together a complete guide to model training, docker file creation and then consuming your API in R. This has arisen as part of a workshop the NHS-R community are doing around R in Production: show and tell, but instead of just making it local, I thought I would open up my part of the tutorial to everyone. The process follows this generic process for ML model deployment: The first tutorial focuses on the training component and model building. The second tutorial focuses on Deployment via Docker and the third tutorial is the ... Read More

Feed: R-bloggers. Author: Gary Hutson. The conference will be held virtually and will kick-off : Monday 8th of November – Wednesday 10th November Featuring: Main Conference Events. This will include more workshops, lightning talks and plenary sessions. And the week before we will have lots of hands-on workshops: Monday 1st November – Friday 5th November Series of workshops for all R levels, including Introduction to R training, package usage and tips and tricks. Further details and how to register will be released shortly. Key note speakers These two influential R contributors: Julia Silge – co-creator of tidytext and now works ... Read More

Feed: R-bloggers. Author: Gary Hutson. DISCLAIMER I am a data scientist and have made all these mistakes, but I have had the privilege of sitting on the managerial, project lead and developer side of the fence, and here are some tips to getting your stakeholders (i.e. anyone involved in the project team or has an interest in the success of the project) on board and delivering a successful data science project. #1 Technical Language is a no no Often when I have managed data scientists, and have been a data scientist, I have seen statisticians being too technical about their ... Read More

Feed: R-bloggers. Author: Gary Hutson. The motivation for this package is simple, while there are many packages that do similar things, few of them perform automated removal of the features from your models. This was the motivation, plus having them all in one location to enable you to easily find them, otherwise you would be looking through Caret, Tidymodels and mlr3 documentation all day long. What the package does? The package, as of today, has two feature selection methods baked into it. These will be described in detail hereunder. Recursive Feature Ellimination The trick to this is to use cross-validation, ... Read More

Feed: R-bloggers. Author: Gary Hutson. I am so excited that my package OddsPlotty has landed on CRAN. This was a package I worked on when I was doing lots of multiple comparisons of logistic regression models and wanted a way to visualise the odds ratios on a graph i.e. an odds plot. This package allows for the generation of odds plots and their associated Tibble outputs. It can be used with TidyModels and CARET machine learning models, as well as the core stats models of type glm. The outputs are as below: Elements of the chart: X axis is the ... Read More

Feed: R-bloggers. Author: Gary Hutson. Do you program in R and normally use DPLYR for data wrangling, manipulation or whatever term you call it? Have you heard all the hype about data.table and how this package can significantly improve the performance run time of your R scripts? Have you been meaning to get round to learning data.table and have never managed it? The answer to these questions is that you don’t have to. This is exactly the purpose of the DTPLYR package. Loading in DTPLYR To load the package we are going to bring in some of the libraries we ... Read More

Feed: R-bloggers. Author: Gary Hutson. These set of tutorial arose through my desire to use as many machine learning packages as possible. My favourites still remain tensorflow, caret, sci-kit learn and now TidyModels. Why TidyModels? Instead of replacing the modelling package, tidymodels replaces the interface. Better said, tidymodels provides a single set of functions and arguments to define a model. It then fits the model against the requested modelling package. TidyModels takes a packaged approach to the machine learning pipeline. The main steps in every TidyModels journey are as below: The preprocessing is carried out by packages such as rsample and recipes. The modelling ... Read More

Feed: R-bloggers. Author: Gary Hutson. I have been busy learning Docker, as it was one of those things I have been putting off for a while. But, I am so glad that I did. Essentially, I have gone through all the pain so you don’t have to. Building the ML Model and creating API with Plumber I can’t tell you how much I love Plumber. This tool allows you to create REST APIs so quickly. Additionally, with the inclusion of swagger, it allows you to have a user interface to effectively deploy your machine learning models at scale. To find ... Read More