This file is part of "Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]".
This file has already been deleted (or replaced) in the current version. It may not be edited.
Restricting limits access to published files. People who want to use the restricted files can request access by default. If you disable request access, you must add information about access to the Terms of Access field.
The selected file or files have already been published. Contact an administrator to change the embargo date or reason of the file or files.
The selected file or files have already been published. Contact an administrator to change the retention period date or reason of the file or files.
The file will be deleted after you click on the Delete button.
Files will not be removed from previously published versions of the dataset.
Please select one or more files.
Share this file on your favorite social media networks.
Use the Download URL in a Wget command or a download manager to download this package file. Download via web browser is not recommended. User Guide - Downloading a Dataverse Package via URL
https://darus.uni-stuttgart.de/api/access/datafile/
Please confirm and/or complete the information needed below in order to request access to files in this dataset.
This dataset is made available under the following terms. Please confirm and/or complete the information needed below in order to continue.
Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.
Custom Dataset Terms — the following Custom Dataset Terms have been defined for this dataset.
Data (results.tar.gz) and Plots (plots.tar.gz) are licensed under a Creative Commons Attribution 4.0 International License.
results.tar.gz
plots.tar.gz
The source code is licensed under the Apache 2.0 license. However, the implementation of the acs-rf-hyper kernel transformation in bmdal/features.py is adapted from the source code at https://github.com/rpinsler/active-bayesian-coresets, which comes with its own (non-commercial) license. Please respect this license when using the acs-rf-hyper transformation directly from bmdal/features.py or indirectly through the interface provided at bmdal/algorithms.py.
Provenance is a record of the origin of your data file and any transformations it has been through. Upload a JSON file from a provenance capture tool to generate a graph of your data's provenance. For more information, please refer to our User Guide.
File must be JSON format and follow the W3C standard.
You may also add information documenting the history of your data file, including how it was created, how it has changed, and who has worked with it.
You need to Log In to request access.
This file is restricted and you may not compute on it because you have not been granted access.
DaRUS support team
Please fill this out to prove you are not a robot.