Metadata-Version: 2.1
Name: ibm-metrics-plugin
Version: 5.0.1.17
Summary: IBM Watson OpenScale Metrics library
Author: IBM
Author-email: kishore.patel@in.ibm.com, pvemulam@in.ibm.com
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: ibm-wos-utils ~=5.0.1.0
Requires-Dist: shap ~=0.45.0
Requires-Dist: pyparsing ~=3.1.2
Requires-Dist: spark-nlp ~=5.3.2
Requires-Dist: service-locator ==0.1.3
Requires-Dist: h5py ~=3.11.0
Requires-Dist: marshmallow ~=3.21.1
Requires-Dist: toolz <0.13,>=0.12.0
Requires-Dist: transformers ~=4.39.3
Provides-Extra: batch
Requires-Dist: ibm-metrics-plugin[database,drift,explainability] ; extra == 'batch'
Provides-Extra: database
Requires-Dist: ibm-db ~=3.2.3 ; extra == 'database'
Requires-Dist: psycopg2 ~=2.9.9 ; extra == 'database'
Requires-Dist: ibm-db-sa ~=0.4.0 ; extra == 'database'
Requires-Dist: SQLAlchemy ~=2.0.29 ; extra == 'database'
Provides-Extra: drift
Requires-Dist: KDEpy ~=1.1.9 ; extra == 'drift'
Requires-Dist: statsmodels ~=0.14.0 ; extra == 'drift'
Provides-Extra: embeddings
Requires-Dist: torch ~=2.1.2 ; extra == 'embeddings'
Requires-Dist: torchvision ~=0.16.2 ; extra == 'embeddings'
Provides-Extra: explainability
Requires-Dist: cvxpy ~=1.3.4 ; extra == 'explainability'
Requires-Dist: nltk ~=3.8.1 ; extra == 'explainability'
Requires-Dist: osqp ~=0.6.2 ; extra == 'explainability'
Provides-Extra: generative-ai-quality
Requires-Dist: nltk ~=3.8.1 ; extra == 'generative-ai-quality'
Requires-Dist: torchmetrics ~=1.4.0 ; extra == 'generative-ai-quality'
Requires-Dist: spacy ~=3.7.4 ; extra == 'generative-ai-quality'
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Requires-Dist: evaluate ~=0.4.2 ; extra == 'generative-ai-quality'
Provides-Extra: notebook
Requires-Dist: ibm-metrics-plugin[drift,embeddings,explainability,visualize] ; extra == 'notebook'
Provides-Extra: robustness
Requires-Dist: ibm-metrics-plugin-artifacts ~=3.0.0 ; extra == 'robustness'
Requires-Dist: cryptography ~=42.0.8 ; extra == 'robustness'
Provides-Extra: visualize
Requires-Dist: umap-learn ~=0.5.6 ; extra == 'visualize'

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## 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](https://www.ibm.com/docs/en/cloud-paks/cp-data/4.0?topic=tutorials-metrics-computation-using-python-sdk)

## Important Notice:

- If you are using **IBM watsonx.governance** or **IBM Watson OpenScale** on Cloud, please install [ibm-metrics-plugin v3.0.x](https://pypi.org/project/ibm-metrics-plugin/).
- 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](https://pypi.org/project/ibm-metrics-plugin/).
- 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](https://www14.software.ibm.com/cgi-bin/weblap/lap.pl?li_formnum=L-AMCU-CCTQDV).
