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DALEX has a new skin! Learn how it was designed at gdansk2019.satRdays

March 12, 2019
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DALEX has a new skin! Learn how it was designed at gdansk2019.satRdays

DALEX is an R package for visual explanation, exploration, diagnostic and debugging of predictive ML models (aka XAI – eXplainable Artificial Intelligence). It has a bunch of visual explainers for different aspects of predictive models. Some of them are useful during model development some for fine tuning, model diagnostic or model explanations. Recently Hanna Dyrcz … Czytaj dalej DALEX...

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shapper is on CRAN, it’s an R wrapper over SHAP explainer for black-box models

March 5, 2019
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shapper is on CRAN, it’s an R wrapper over SHAP explainer for black-box models

Written by: Alicja Gosiewska In applied machine learning, there are opinions that we need to choose between interpretability and accuracy. However in field of the Interpretable Machine Learning, there are more and more new ideas for explaining black-box models. One of the best known method for local explanations is SHapley Additive exPlanations (SHAP). The SHAP … Czytaj dalej shapper...

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x-mas tRees with gganimate, ggplot, plotly and friends

January 3, 2019
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x-mas tRees with gganimate, ggplot, plotly and friends

At the last homework before Christmas I asked my students from DataVisTechniques to create a ,,Christmas style” data visualization in R or Python (based on simulated data). Libaries like rbokeh, ggiraph, vegalite, shiny+ggplot2 or plotly were popular last year. This year there are also some nice submissions that use gganimate. Find source codes here. Plots … Czytaj dalej x-mas...

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Data, movies and ggplot2

December 19, 2018
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Data, movies and ggplot2

Yet another boring barplot? No! I’ve asked my students from MiNI WUT to visualize some data about their favorite movies or series. Results are pretty awesome. Believe me or not, but charts in these posters are created with ggplot2 (most of them)! Star Wars Fan of StaR WaRs? Find out which color is the most … Czytaj dalej Data,...

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Break Down: model explanations with interactions and DALEX in the BayArea

September 17, 2018
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Break Down: model explanations with interactions and DALEX in the BayArea

The breakDown package explains predictions from black-box models, such as random forest, xgboost, svm or neural networks (it works for lm and glm as well). As a result you gets decomposition of model prediction that can be attributed to particular variables. The version 0.3 has a new function break_down. It identifies pairwise interactions of variables. … Czytaj dalej Break...

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Ceteris Paribus v0.3 is on CRAN

August 11, 2018
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Ceteris Paribus v0.3 is on CRAN

Ceteris Paribus package is a part of DALEX family of model explainers. Version 0.3 just gets to CRAN. It’s equipped with new functions for very elastic visual exploration of black box models. Its grammar generalizes Partial Dependency Plots, Individual Conditional Expectations, Wangkardu Plots and gives a lot of flexibility in model comparisons, groups comparisons and … Czytaj dalej Ceteris...

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No worries! Afterthoughts from UseR 2018

July 27, 2018
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No worries! Afterthoughts from UseR 2018

This year the UseR conference took place in Brisbane, Australia. UseR is my favorite conference and this one was mine 11th (counting from Dortmund 2008).  Every UseR is unique. Every UseR is great. But my feelings are that European UseRs are (on average) more about math, statistics and methodology while US UseRs are more about … Czytaj dalej No...

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Local Goodness-of-Fit Plots / Wangkardu Explanations – a new DALEX companion

July 4, 2018
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Local Goodness-of-Fit Plots / Wangkardu Explanations – a new DALEX companion

The next DALEX workshop will take place in 4 days at UseR. In the meantime I am working on a new explainer for a single observation. Something like a diagnostic plot for a single observation. Something that extends Ceteris Paribus Plots. Something similar to Individual Conditional Expectation (ICE) Plots. An experimental version is implemented in ceterisParibus … Czytaj dalej Local...

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modelDown: a website generator for your predictive models

June 29, 2018
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modelDown: a website generator for your predictive models

I love the pkgdown package. With a single line of code you can create a complete website with examples, vignettes and documentation for your package. Brilliant! So what about a website generator for predictive models? Imagine that you can take a set of predictive models (generated with caret, mlr, glm, xgboost or randomForest, anything) and … Czytaj dalej modelDown:...

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Not only LIME

June 18, 2018
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Not only LIME

I’ve heard about a number of consulting companies, that decided to use simple linear model instead of a black box model with higher performance, because ,,client wants to understand factors that drive the prediction’’. And usually the discussion goes as following: ,,We have tried LIME for our black-box model, it is great, but it is … Czytaj dalej Not...

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