[Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. Kullback-Leibler). Application to the Choquet integral.
Our solution for ICIAR 2018 Grand Challenge BACH dataset
The given dataset, "Energy20.txt", can be used to create models of energy use of appliances in a energy-efficient house. The dataset provides the Energy use of appliances (denoted as Y) using 671 samples. It is a modified version of data used in the study [1]. The dataset includes 5 variables, denoted as X1, X2, X3, X4, X5, and Y, described as f…
measures the vulnerability of the system by formulating the aggregated metric using extended metrics.
Add a description, image, and links to the choquet-integral topic page so that developers can more easily learn about it.
To associate your repository with the choquet-integral topic, visit your repo's landing page and select "manage topics."