search-analysis 0.1.7

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

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)

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• First release on PyPI.