Nirvana Distance
Versión 1.0.2 (2,08 KB) por
David Heise
This code computes the nirvana distance, or distance from "ideal" for a data augmentation.
This function will calculate the nirvana distance -- that is, the distance from "ideal" -- for a data augmentation.
Inputs:
C - an integer matrix of the confusion data for the augmentation under evaluation, with ground truth labels in rows and predicted labels in columns
F - a square matrix representing the distances between target classes in the original (non-augmented) data feature space, with order of classes as in C
Outputs:
ND - the computed nirvana distance
dc - a vector of values representing the distance component for each target class in the data set
Citar como
D. Heise and H. Bear, "Evaluating the Potential and Realized Impact of Data Augmentations", submitted to 2023 IEEE Symposium Series on Computational Intelligence, in review.
Compatibilidad con la versión de MATLAB
Se creó con
R2023a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS LinuxEtiquetas
Agradecimientos
Inspiración para: Plotting Components for Nirvana Distance
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.