项目文件夹

文件
wehub-resource-sync e768098d0e
tools_continuous_delivery / Private PyPI non-main branch release (push) Has been skipped
tools_continuous_delivery / Private PyPI main branch release (push) Failing after 2m42s
Publish Promptflow Doc / Build (push) Has been cancelled
Publish Promptflow Doc / Deploy (push) Has been cancelled
Flake8 Lint / flake8 (push) Has been cancelled
Spell check CI / Spell_Check (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 13:39:52 +08:00

36 行
952 B
Markdown

此文件含有模棱两可的 Unicode 字符
此文件含有可能会与其他字符混淆的 Unicode 字符。 如果您是想特意这样的,可以安全地忽略该警告。 使用 Escape 按钮显示他们。
# Eval chat math
This example shows how to evaluate the answer of math questions, which can compare the output results with the standard answers numerically.
Learn more on corresponding [tutorials](../../../tutorials/flow-fine-tuning-evaluation/promptflow-quality-improvement.md)
Tools used in this flow
- `python` tool
## Prerequisites
Install promptflow sdk and other dependencies in this folder:
```bash
pip install -r requirements.txt
```
### 1. Test flow with single line data
Testing flow/node:
```bash
# test with default input value in flow.dag.yaml
pf flow test --flow .
# test with flow inputs
pf flow test --flow . --inputs groundtruth=123 prediction=123
# test node with inputs
pf flow test --flow . --node line_process --inputs groundtruth=123 prediction=123
```
### 2. create flow run with multi line data
There are two ways to evaluate an classification flow.
```bash
pf run create --flow . --data ./data.jsonl --stream
```