Forward Composition Propagation (FCP) is a post-hoc XAI method for explaining the predictions of feed-forward neural networks trained on structured classification problems. Each neuron is described by a composition vector indicating the role of each problem feature in that neuron.
Release files for fcp-xai 0.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| fcp-xai-0.1.1.tar.gz | 6.1 kB | Without provenance | Details |
Release files / fcp-xai-0.1.1.tar.gz
| Download URL | fcp-xai-0.1.1.tar.gz |
|---|---|
| Size | 6.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
dd7c4848437e41242f0a3f60320ff79d02587e385a76fca1c5817b7df5727473
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BLAKE2b-256 checksum How to use checksums |
dccfb6ac8a21a564ce25c8a75c43a5d7dc895d0c15d2729ed8636caa58c46b13
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.16
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Security for fcp-xai 0.1.1
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