audmetric

audmetric includes several equations to estimate the performance of a machine learning prediction algorithm.

Some of the metrics are also available in sklearn, but we wanted to have a package which depends only on numpy. For those metrics we included tests that the results are identical to sklearn.

Metadata

Release files for audmetric 1.4.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for audmetric 1.4.2
File	Size	Uploaded
audmetric-1.4.2.tar.gz	63.2 kB	Apr 7, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for audmetric 1.4.2
File	Interpreter	ABI	Platform	Reset
audmetric-1.4.2-py3-none-any.whl 71.5 kB Apr 7, 2026	Python 3	none	any	Details

Total release size: 134.7 kB

Release files / audmetric-1.4.2.tar.gz

Download URL	audmetric-1.4.2.tar.gz
Size	63.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`82817af113eb4cf02b5931e2dfaa4148e77529d37523bf264954529afa13f434`
BLAKE2b-256 checksum How to use checksums	`03e83df002a7f20102509000b37f5a99e34d8d669b227ce9182bb7e8f480273c`
Upload date	Apr 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/audeering/audmetric
Publishing commit: github.com/audeering/audmetric/tree/b1c6527e47483d64fa5d86af7c5183759a1cbfbd

Workflow

Publishing configuration: github.com/audeering/audmetric/blob/b1c6527e47483d64fa5d86af7c5183759a1cbfbd/.github/workflows/publish.yml
Publishing logs: github.com/audeering/audmetric/actions/runs/24075916787/attempts/1

Artifact

Subject: audmetric-1.4.2.tar.gz
SHA-256 checksum: 82817af113eb4cf02b5931e2dfaa4148e77529d37523bf264954529afa13f434 Verifying attestations

Release files / audmetric-1.4.2-py3-none-any.whl

Download URL	audmetric-1.4.2-py3-none-any.whl
Size	71.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`613b422181e2945aa20c3de6b3bfe8e53abea87844e9049afcd85e64148b81c4`
BLAKE2b-256 checksum How to use checksums	`07f22fd1e6bf9966840d0043fcabdb136b467d0ce07a5cc2a1258de2d1c830cf`
Upload date	Apr 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/audeering/audmetric
Publishing commit: github.com/audeering/audmetric/tree/b1c6527e47483d64fa5d86af7c5183759a1cbfbd

Workflow

Publishing configuration: github.com/audeering/audmetric/blob/b1c6527e47483d64fa5d86af7c5183759a1cbfbd/.github/workflows/publish.yml
Publishing logs: github.com/audeering/audmetric/actions/runs/24075916787/attempts/1

Artifact

Subject: audmetric-1.4.2-py3-none-any.whl
SHA-256 checksum: 613b422181e2945aa20c3de6b3bfe8e53abea87844e9049afcd85e64148b81c4 Verifying attestations