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36 lines
952 B
Markdown
36 lines
952 B
Markdown
# Eval chat math
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This example shows how to evaluate the answer of math questions, which can compare the output results with the standard answers numerically.
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Learn more on corresponding [tutorials](../../../tutorials/flow-fine-tuning-evaluation/promptflow-quality-improvement.md)
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Tools used in this flow：
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- `python` tool
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## Prerequisites
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Install promptflow sdk and other dependencies in this folder:
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```bash
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pip install -r requirements.txt
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```
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### 1. Test flow with single line data
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Testing flow/node:
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```bash
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# test with default input value in flow.dag.yaml
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pf flow test --flow .
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# test with flow inputs
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pf flow test --flow . --inputs groundtruth=123 prediction=123
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# test node with inputs
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pf flow test --flow . --node line_process --inputs groundtruth=123 prediction=123
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```
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### 2. create flow run with multi line data
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There are two ways to evaluate an classification flow.
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```bash
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pf run create --flow . --data ./data.jsonl --stream
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``` |