AttriBench: Metrics for Feature Attribution Techniques
AttriBench is a Pytorch-based implementation of several metrics for the evaluation of feature attribution maps and methods. AttriBench provides a functional and an object-oriented API for the computation of these metrics, along with a set of utility functions for the necessary preparations (e.g. computing attribution maps) as well as for the visualization of the results.
The functional API is generally easier to use, and can be used to get started quickly if the scale of the evaluation is not too large. The object-oriented API is more flexible and can use multiple GPUs for evaluation of large datasets.
For more information, see the documentation.
Installation
AttriBench can be installed from PyPI using pip:
pip install attribench1 maintainer
Metadata
1 maintainer
Release files for attribench 0.1.9
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| attribench-0.1.9.tar.gz | 70.8 kB | Without provenance | Details for attribench-0.1.9.tar.gz |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| attribench-0.1.9-py3-none-any.whl | Python 3 | none | any | Details for attribench-0.1.9-py3-none-any.whl |
Total release size: 193.2 kB
Release files / attribench-0.1.9.tar.gz
| Download URL | attribench-0.1.9.tar.gz |
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| Size | 70.8 kB |
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Release files / attribench-0.1.9-py3-none-any.whl
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| Size | 122.4 kB |
| Tags | Python 3 |
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