Use the Arize Python package to create datasets, run experiments, get traces, and log evaluations to Arize AX. You can also use our ML features to log predictions and actuals. See our API reference below.Documentation Index
Fetch the complete documentation index at: https://arize-ax.mintlify.dev/docs/llms.txt
Use this file to discover all available pages before exploring further.
Python SDK API Reference Documentation
Installing the package
Changelog
Available packages
The main package isarize, and you can add additional functionality by adding extra dependencies. Python 3.8 is the minimum required for the additional packages.
| Package | What It’s For |
|---|---|
arize | The primary Arize package for interfacing with Arize AX APIs. |
arize[Tracing] | Components for logging traces and running experiments for LLM applications. |
arize[AutoEmbeddings] | Automatically generate embeddings vectors for your predictions and actuals for ML models. |
arize[NLP_Metrics] | Calculate evaluation metrics for your NLP Generative tasks. |
arize[MimicExplainer] | Produce SHAP values using the surrogate explainability approach. |