apunkt/MetaGPT
1
0
Fork 0
mirror of https://github.com/FoundationAgents/MetaGPT.git synced 2026-06-08 15:05:17 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

mv examples

Browse source
This commit is contained in:
yzlin 2024-02-07 21:54:40 +08:00
parent 42f3aaf18b
commit eb1e1b9ef2
4 changed files with 3 additions and 3 deletions
Download patch file Download diff file Expand all files Collapse all files

0
examples/ci/data_analysis.py → examples/ci/data_visualization.py
View file

0
examples/email_summary.py → examples/ci/email_summary.py
View file

0
examples/ci/machine_learning.py Normal file
View file

6
examples/ml_engineer_with_tools.py → examples/ci/ml_engineer_with_tools.py
View file

@ -9,8 +9,8 @@ async def main(requirement: str, auto_run: bool = True, use_tools: bool = True):
if __name__ == "__main__":
data_path = "your_path_to_icr/icr-identify-age-related-conditions" # 替换 'your_path_to_icr' 为实际数据存放的路径
train_path = f"{data_path}/your_train_data.csv" # 替换 'your_train_data.csv' 为你的训练数据文件名
eval_path = f"{data_path}/your_eval_data.csv" # 替换 'your_eval_data.csv' 为你的评估数据文件名
data_path = "your_path_to_icr/icr-identify-age-related-conditions"
train_path = f"{data_path}/your_train_data.csv"
eval_path = f"{data_path}/your_eval_data.csv"
requirement = f"This is a medical dataset with over fifty anonymized health characteristics linked to three age-related conditions. Your goal is to predict whether a subject has or has not been diagnosed with one of these conditions.The target column is Class. Perform data analysis, data preprocessing, feature engineering, and modeling to predict the target. Report f1 score on the eval data. Train data path: {train_path}, eval data path:{eval_path}."
asyncio.run(main(requirement))