moreo
/
QuaPy
1
0
Fork 1
Code Issues Pull Requests Releases Wiki Activity

Update README with new image datasets 

Added image datasets (MNIST, FashionMNIST, CIFAR10, CIFAR100, SVHN) to the README.
This commit is contained in:
Alejandro Moreo Fernandez 2026-08-21 11:32:27 +02:00 committed by GitHub
parent 7390c27a46
commit fdf3963d15
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 2 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
README.md
View File

@ -84,6 +84,7 @@ quantification methods based on structured output learning, HDy, QuaNet, quantif
* 3 product reviews quantification-by-sentiment datasets. * 3 product reviews quantification-by-sentiment datasets.
* 4 tasks from LeQua 2022 competition and 4 tasks from LeQua 2024 competition * 4 tasks from LeQua 2022 competition and 4 tasks from LeQua 2024 competition
* IFCB for Plancton quantification * IFCB for Plancton quantification
* Image datasets (MNIST, FashionMNIST, CIFAR10, CIFAR100, SVHN)
* Native support for binary and single-label multiclass quantification scenarios. * Native support for binary and single-label multiclass quantification scenarios.
* Model selection functionality that minimizes quantification-oriented loss functions. * Model selection functionality that minimizes quantification-oriented loss functions.
* Visualization tools for analysing the experimental results. * Visualization tools for analysing the experimental results.