Hi!
I am a PhD student in Computer Science, keen on machine learning and its applications. Currently, I am interested in Interpretable Machine Learning (IML), Automated Machine Learning (AutoML), auditability of predictive models, and bioinformatics. More information you can find in my resume.
I am a proud organizator of Warsaw R Users Group Meetup and R-Ladies Warsaw.
Feel free to also visit my blog FeelML.com.
PhD in Computer Science, 2018 - ...
Warsaw University of Technology
MSc in Mathematics, 2016 - 2018
Warsaw University of Technology
BS in Mathematics, 2013 - 2016
University of Warsaw
The iBreakDown R package is a model agnostic tool for explanation of predictions from black boxes ML models. Break Down Table shows contributions of every variable to a final prediction. Break Down Plot presents variable contributions in a concise graphical way. SHAP (Shapley Additive Attributions) values are calculated as average from random Break Down profiles. This package works for binary classifiers as well as regression models.
An R package shapper provides SHAP explanations of machine learning models. The SHAP method is used to calculate influences of variables on the particular observation. This method is based on Shapley values, a technique used in game theory. The R package ‘shapper’ is a port of the Python library ‘shap’.
MLExpResso is an R package for integrative analyses and visualization of gene expression and DNA methylation data.