How to: Evals
This section contains practical guides for working with evaluators in Phoenix.
Custom LLM Evaluators - Build custom classification and scoring evaluators
Code Evaluators - Create non-LLM evaluators using functions
Batch Evaluations - Run evaluations on dataframes efficiently
Using Evals with Phoenix - Integrate evaluators with traces and experiments
Configuring the LLM - Configure LLM models for evaluators
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