Reproducible Experiments in Machine Learning

This post describes how we used Docker containers and Python environments to make tables and figures in our recent scientific paper reproducible.

FRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration

Most existing feature selection methods are insufficient for analytic purposes as soon as high dimensional data or redundant sensor signals are dealt with since features can be selected due to spurious effects or correlations rather than causal …

Feature Relevance Analysis Tool

Python tool to discover relevant features in machine learning problems.

FRI Quickstart Guide

This guide covers the first steps in using the FRI library for analysing relevant features.

Sublimator Controller

Program to control sublimation machine using Raspberry Pi.