Skills

Statistics

R

Python

Projects

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auditor

An R package auditor provides several methods for model verification and validation by error analysis. This includes both, graphical methods and scores, which that can be useful for comparison of models performance. The auditor is availible on CRAN now.

iBreakDown

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.

shapper

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’.

survxai

An R package survxai is a tool for creating local and global explanations of survival models.

MLExpResso

MLExpResso is an R package for integrative analyses and visualization of gene expression and DNA methylation data.