IBM Watson OpenScale Metrics library

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  • Author: IBM
  • Requires: Python <3.14, >=3.10
  • Provides-Extra: database , drift , explainability , embeddings , visualize , batch , notebook , generative-ai-quality , generative-ai-security , robustness , mra
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Project description

Welcome to ibm_metrics_plugin

ibm_metrics_plugin is a python API for computing llm, fairness metrics and explaining transactions using notebooks. For more information, look at documentation

Important Notice:

  • If you are using IBM watsonx.governance or IBM Watson OpenScale on Cloud, please install ibm-metrics-plugin v3.0.x.
  • If you are using IBM watsonx.governance or IBM Watson OpenScale on CPD, please install the version with the CPD version as prefix Eg: ibm-metrics-plugin v5.0.x.x.
  • IBM is not responsible for any existing vulnerabilities within the third-party dependencies that are required to install the ibm-metrics-plugin python package.

License

This library is delivered under the International License Agreement for Non-Warranted Programs.

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  • Author: IBM
  • Requires: Python <3.14, >=3.10
  • Provides-Extra: database , drift , explainability , embeddings , visualize , batch , notebook , generative-ai-quality , generative-ai-security , robustness , mra

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5.3.3.0

5.3.2.8

5.3.1.11

5.3.0.13

5.2.2.16

5.2.1.9

5.2.0.9

5.1.2.16

5.1.1.13

5.1.0.9

5.0.3.11

5.0.1.17

5.0.0.50

4.8.7.4

4.8.6.7

4.7.2.4

3.0.23

3.0.22

3.0.21

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