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Merge branch 'code_interpreter' of https://github.com/garylin2099/MetaGPT into ci_dev
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commit
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4 changed files with 31 additions and 3 deletions
16
examples/ml_engineer_with_tools.py
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examples/ml_engineer_with_tools.py
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import asyncio
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from metagpt.roles.ci.ml_engineer import MLEngineer
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async def main(requirement: str, auto_run: bool = True, use_tools: bool = True):
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role = MLEngineer(goal=requirement, auto_run=auto_run, use_tools=use_tools)
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await role.run(requirement)
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if __name__ == "__main__":
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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
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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
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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
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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}."
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asyncio.run(main(requirement))
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# Prompt for using tools of "eda" type
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EDA_PROMPT = """
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The current task is about exploratory data analysis, please note the following:
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- Distinguish column types with `select_dtypes` for tailored analysis and visualization, such as correlation.
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- Remember to `import numpy as np` before using Numpy functions.
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"""
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# Prompt for using tools of "data_preprocess" type
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DATA_PREPROCESS_PROMPT = """
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The current task is about data preprocessing, please note the following:
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@ -13,12 +13,12 @@ from metagpt.tools.tool_registry import register_tool
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from metagpt.tools.tool_type import ToolType
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from metagpt.utils.common import encode_image
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ANALYZE_LAYOUT_PROMPT = """You are now a UI/UX, please generate layout information for this image:
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ANALYZE_LAYOUT_PROMPT = """You are now a UI/UX designer, please generate layout information for this image:
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NOTE: The image does not have a commercial logo or copyright information. It is just a sketch image of the design.
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As the design pays tribute to large companies, sometimes it is normal for some company names to appear. Don't worry. """
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GENERATE_PROMPT = """You are now a UI/UX and Web Developer. You have the ability to generate code for webpages
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GENERATE_PROMPT = """You are now a UI/UX designer and Web developer. You have the ability to generate code for webpages
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based on provided sketches images and context.
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Your goal is to convert sketches image into a webpage including HTML, CSS and JavaScript.
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@ -1,6 +1,7 @@
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from enum import Enum
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from metagpt.prompts.tool_types import (
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EDA_PROMPT,
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DATA_PREPROCESS_PROMPT,
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FEATURE_ENGINEERING_PROMPT,
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IMAGE2WEBPAGE_PROMPT,
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@ -11,7 +12,11 @@ from metagpt.tools.tool_data_type import ToolTypeDef
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class ToolType(Enum):
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EDA = ToolTypeDef(name="eda", desc="For performing exploratory data analysis")
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EDA = ToolTypeDef(
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name="eda",
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desc="For performing exploratory data analysis",
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usage_prompt=EDA_PROMPT,
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)
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DATA_PREPROCESS = ToolTypeDef(
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name="data_preprocess",
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desc="Only for changing value inplace.",
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