The search analysis library contains multiple tools to help you analyze ranking and explain ranking differences from search systems.
Project description
Search Analysis
The search analysis library contains multiple tools to help you analyze your search engine approach.
Free software: MIT license
Documentation: Coming soon
Features
Use-Case: Analyze Single Approach
Get Metrics: Precision, Recall, F-Score
Find queries that perform especially bad/good
Analyze false positives, false negatives and true positives
For every query get score, field value, highlighting
Use-Case Compare Two Approaches
Visualization of metrics side by side
Find queries with biggest difference
Analyze false positives, false negatives, true positives and calculate disjoint sets
Get scores visualized side by side
(For now it’s only possible to work with Elasticsearch)
Help
For questions you can contact us via E-Mail or through our website (https://www.pragmalingu.de/).
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2021-03-16)
First release on PyPI.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for search_analysis-0.1.23-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | bd038be2ccc3a131e4ccb1feec02469a9f9483afb0e79cf3b15f80f32f173733 |
|
MD5 | d307c79e1fd472a3fe6e3fea00d9fe0e |
|
BLAKE2b-256 | 39fda898ac2f3e133a75aa69f60fada57be6e60eb3e98df172a12696ca0d155b |