Spaces:
Runtime error
Runtime error
File size: 1,982 Bytes
06ba83e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | from agency_swarm.tools import BaseTool
from pydantic import Field, BaseModel
import pandas as pd
from typing import Any
class StatisticalModelingTool(BaseTool):
"""
A tool for performing statistical analysis and modeling on market data.
"""
class Config:
arbitrary_types_allowed = True # Allow arbitrary types like pandas DataFrame
data: Any = Field(
default=None,
description="The data to analyze. Can be a pandas DataFrame or other compatible format."
)
analysis_type: str = Field(
...,
description="Type of statistical analysis to perform (e.g., 'regression', 'correlation', 'time_series')"
)
parameters: dict = Field(
default={},
description="Additional parameters for the statistical analysis"
)
def run(self):
"""
Performs the specified statistical analysis on the provided data.
"""
try:
# Your statistical analysis logic here
if self.analysis_type == "regression":
# Perform regression analysis
result = "Regression analysis completed"
elif self.analysis_type == "correlation":
# Perform correlation analysis
result = "Correlation analysis completed"
elif self.analysis_type == "time_series":
# Perform time series analysis
result = "Time series analysis completed"
else:
result = f"Unknown analysis type: {self.analysis_type}"
return result
except Exception as e:
return f"Error performing statistical analysis: {str(e)}"
if __name__ == "__main__":
# Test the tool
data = pd.DataFrame({'x': [1, 2, 3], 'y': [4, 5, 6]})
tool = StatisticalModelingTool(
data=data,
analysis_type="regression",
parameters={"method": "linear"}
)
print(tool.run()) |