Skip to main content

The search analysis library contains multiple tools to help you analyze ranking and explain ranking differences from search systems.

Project description

Search Analysis

https://img.shields.io/pypi/v/search_analysis.svg https://img.shields.io/travis/MiriamPragmalingu/search_analysis.svg Documentation Status

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

search_analysis-0.1.15.tar.gz (18.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

search_analysis-0.1.15-py2.py3-none-any.whl (11.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file search_analysis-0.1.15.tar.gz.

File metadata

  • Download URL: search_analysis-0.1.15.tar.gz
  • Upload date:
  • Size: 18.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for search_analysis-0.1.15.tar.gz
Algorithm Hash digest
SHA256 0bbcecf108c446e162e78f8ac143ad97bfdb8ba1570c168dec6c8f7409e0a440
MD5 0800aed037df890bcf03ada5343f56ca
BLAKE2b-256 9ceb10d8f5f8796dffe821680b229c4b1511958a59ef1bec4902070f4388d3d1

See more details on using hashes here.

File details

Details for the file search_analysis-0.1.15-py2.py3-none-any.whl.

File metadata

  • Download URL: search_analysis-0.1.15-py2.py3-none-any.whl
  • Upload date:
  • Size: 11.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for search_analysis-0.1.15-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ed71e872b1e3dfd6aed62d0ace029f493f83b152cac036ec889a70baa48f4a21
MD5 94cd77cd2f742a380d93f42ef2932fa5
BLAKE2b-256 1b3499b147e90ed4eb5609f20b7cd3ac23973c051c1a08baf09290c803cd3741

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page