Description:
cuteranking 0.0.3
Cute Ranking
A cute little python module for calculating different ranking metrics. Based entirely on the gist from https://gist.github.com/bwhite/3726239.
Install
Requires a minimum python installation of 3.6
pip install cute_ranking
How to use
from cute_ranking.core import mean_reciprocal_rank
relevancies = [[0, 0, 1], [0, 1, 0], [1, 0, 0]]
mean_reciprocal_rank(relevancies)
0.611111111111111
The library current supports the following information retrieval ranking metrics:
Mean Reciprocal Rank - mean_reciprocal_rank
Relevancy Precision - r_precision
Precision at K - precision_at_k
Recall at K - recall_at_k
F1 score at K - f1_score_at_k
Average Precision - average_precision
Mean Average Precision - mean_average_precision
Discounted Cumulative Gain at K - dcg_at_k
Normalized Discounted Cumulative Gain at K - ndcg_at_k
Mean Rank - mean_rank
Hit@k - hit_rate_at_k
Contributing
PRs and issues welcome! Please make sure to read through the CONTRIBUTING.md doc for how to contribute :).
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
There are no reviews.
