Introduction
This package contains functions for calculating various metrics relevant for learning to rank systems such as recommender systems.
IMPORTANT: This project is still in its very early stages. Results should be taken with a grain of salt.
scikit-learn-like APIs
This package aims to provide APIs that are familiar if you are used to working with scikit-learn.
Supported metrics
Recall@k
Bag Recall@k
Mean Rank Percentile
NDCG
1 maintainer
Metadata
1 maintainer
Release files for rankmetrics 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| rankmetrics-1.0.0.tar.gz | 4.8 kB | Without provenance | Details for rankmetrics-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| rankmetrics-1.0.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for rankmetrics-1.0.0-py2.py3-none-any.whl |
Total release size: 10.4 kB
Release files / rankmetrics-1.0.0.tar.gz
| Download URL | rankmetrics-1.0.0.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b84c2ea401c1539ef7951d81d7442b2068c0e45e0cef85c6d4f08ae3b3e88ca9
|
|
BLAKE2b-256 checksum How to use checksums |
9f860ae6a83164b0cc66d475d5b7c52b67b203a1cea17d55b2f3b8b3d8b14f26
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / rankmetrics-1.0.0-py2.py3-none-any.whl
| Download URL | rankmetrics-1.0.0-py2.py3-none-any.whl |
|---|---|
| Size | 5.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
7cf61b8df3d6d29149f358c6e18cf19baeca4e93418780817a11e6682edc2781
|
|
BLAKE2b-256 checksum How to use checksums |
5fd6245daf7df87dd6700275194247452e0f5f900d86b2391ce1555a8ad2333a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for rankmetrics 1.0.0
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
