extrinsic-quality-measures

Here are 2 public repositories matching this topic...

IngestAI / deepmark

Deepmark AI enables a unique testing environment for language models (LLM) assessment on task-specific metrics and on your own data so your GenAI-powered solution has predictable and reliable performance.

php benchmarking benchmark laravel benchmarks extrinsic-parameters assessment-tool extrinsic-quality-measures llm llms reliability-benchmarking generative-ai

Updated Nov 24, 2023
PHP

eXascaleInfolab / xmeasures

Star

Extremely fast evaluation of the extrinsic clustering measures: various (mean) F1 measures and Omega Index (Fuzzy Adjusted Rand Index) for the multi-resolution clustering with overlaps/covers, standard NMI, clusters labeling

ari clustering-evaluation benchmark-measures nmi f1-score quality-measures omega-index covers-evaluation extrinsic-quality-measures f-measure fuzzy-adjusted-rand-index overlapping-community-evaluation accuracy-metrics

Updated Jun 15, 2021
C++

Improve this page

Add a description, image, and links to the extrinsic-quality-measures topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the extrinsic-quality-measures topic, visit your repo's landing page and select "manage topics."

Learn more

Provide feedback

Saved searches

Use saved searches to filter your results more quickly