Monthly Archives: April 2019

DALEX for keras and parsnip

April 26, 2019
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DALEX for keras and parsnip

DALEX is a set of tools for explanation, exploration and debugging of predictive models. The nice thing about it is that it can be easily connected to different model factories. Recently Michal Maj wrote a nice vignette how to use DALEX with models created in keras (an open-source neural-network library in python with an R … Czytaj dalej DALEX...

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Identifying regional differences in Perinatal Mental Health indicators in the UK with R

April 25, 2019
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Identifying regional differences in Perinatal Mental Health  indicators in the UK with R

Identifying regional differences of Perinatal Mental Health indicators in the UK with R The fingertipsR package provides an easy interface to access the fingertips API. This repository contains a large variety of public health indicators managed by Public Health England. I will be focusing on the data related to Perinatal Mental Health as our laboratory is interested in (among other things) the epigenetic...

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Shiny Modules (part 2): Share reactive among multiple modules

April 25, 2019
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Shiny Modules (part 2): Share reactive among multiple modules

On the previous post we showed why modules are usefull to build Shiny applications. We also saw a first minimal “Hello-World” example. It can get difficult to share reactive from/to modules. On this post we will see the 3 most common use cases of data workflow: Module → Application Application → Module Application ↔ Module Want to run the examples ? All code used in...

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Shiny v1.3.2

April 25, 2019
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Shiny v1.3.2

We’re excited to announce the release of Shiny v1.3.2. This release has two main features: a new reactivity debugging tool we call reactlog, and much faster serving of static file assets. Introducing reactlog: Visually debug your reactivity issues Debugging faulty reactive logic can be challenging, as we’ve written and talked about in the past. In particular, some of the most difficult...

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March 2019: “Top 40” New CRAN Packages

April 25, 2019
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March 2019: “Top 40” New CRAN Packages

By my count, two hundred and thirty-three packages stuck to CRAN last month. I have tried to capture something of the diversity of the offerings by selecting packages in ten categories: Computational Methods, Data, Machine Learning, Medicine, Science, Shiny, Statistics, Time Series, Utilities, and Visualization. The Shiny category contains packages that expand on Shiny capabilities, not just packages that...

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Couting Pairs

April 25, 2019
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Saw a tweet from (https://twitter.com/matt_pavlich) asking twitter roughly how many games he and David Mundy have played together. Thankfully, you don’t have to wonder anymore and you can reproduce the results yourself and do running counts for your favourite players! library(tidyverse) ## ── Attaching packages ─────────────────────────── tidyverse 1.2.1 ── ## ✔ ggplot2 3.1.1 ✔ purrr ...

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modelplotr v1.0 now on CRAN: Visualize the Business Value of your Predictive Models

April 25, 2019
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modelplotr v1.0 now on CRAN: Visualize the Business Value of your Predictive Models

Summary In this blog we explain most valuable evaluation plots to assess the business value of a predictive model. Since these visualisations are not included in most popular model building packages or modules in R and Python, we show how you can easily create these plots for your own predictive models with our modelplotr r package and our modelplotpy python...

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modelplotr v1.0 now on CRAN: Visualize the Business Value of your Predictive Models

April 25, 2019
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modelplotr v1.0 now on CRAN: Visualize the Business Value of your Predictive Models

Summary In this blog we explain most valuable evaluation plots to assess the business value of a predictive model. Since these visualisations are not included in most popular model building packages or modules in R and Python, we show how you can easily create these plots for your own predictive models with our modelplotr r package and our modelplotpy python...

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Encryptr now makes it easy to encrypt and decrypt files

April 25, 2019
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Data security is paramount and encryptr was written to make this easier for non-experts. Columns of data can be encrypted with a couple of lines of R code, and single cells decrypted as required. But what was missing was an easy way to encrypt the file source of that data. Now files can be encrypted … Continue reading "Encryptr...

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Probability of winning a best-of-7-series (part 2)

April 25, 2019
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Probability of winning a best-of-7-series (part 2)

In this previous post, I explored the probability that a team wins a best-of-n series, given that its win probability for any one game is some constant . As one commenter pointed out, most sports models consider the home team … Continue reading →

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