PET dataset reader
Benchmarking procedure to test approaches on the PET-dataset (hosted on huggingface).
This is an beta version.
Documentation will come soon.
Example of ‘’how to benchmark an approach’’
from petbenchmarks.benchmarks import BenchmarkApproach
BenchmarkApproach(tested_approach_name='Approach-name',
predictions_file_or_folder='path-to-prediction-file.json')The BenchmarkApproach object does all the job. It reads the prediction file, computes score and generates a reports.
Created by Patrizio Bellan.
1 maintainer
Metadata
1 maintainer
Release files for petbenchmarks 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| petbenchmarks-0.0.2.tar.gz | 12.6 kB | Details |
Release files / petbenchmarks-0.0.2.tar.gz
| Download URL | petbenchmarks-0.0.2.tar.gz |
|---|---|
| Size | 12.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
da094f8404e47cbb07476fb10075ab754014a7c9b017188681fb27276b4f4634
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BLAKE2b-256 checksum How to use checksums |
39386b715b6d9b0b570293f4dcae2acf270b2846f02d6307098bf21f56587cf9
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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/3.10.5
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