To send evaluation results back to Phoenix, you can use the `log_evaluations` method of the `px.Client` class. This method allows you to log evaluation results, such as those from a Q&A evaluation, back to Phoenix for visualization. Here's a brief overview of the process:
1. *Prepare Evaluation Data*: Ensure your evaluation results are in a DataFrame format, with necessary columns like `context.span_id` to associate evaluations with specific spans.
2. *Log Evaluations*: Use the `log_evaluations` method to send the evaluation data to Phoenix. You need to create `SpanEvaluations` or `DocumentEvaluations` objects with your evaluation DataFrame.
Example code snippet:
```
from phoenix.trace import SpanEvaluations
import phoenix as px
# Assuming `qa_eval_df` is your DataFrame with evaluation results
px.Client().log_evaluations(
SpanEvaluations(eval_name="Q&A Correctness", dataframe=qa_eval_df)
)
```
Would you like more details on any specific part of this process?
Sources:
- <https://github.com/Arize-ai/phoenix/issues/2309|https://github.com/Arize-ai/phoenix/issues/2309>
- <https://github.com/arize-ai/phoenix/blob/main/tutorials/mistral/evaluate_rag--mistral.ipynb|https://github.com/arize-ai/phoenix/blob/main/tutorials/mistral/evaluate_rag--mistral.ipynb>
