A Python implementation of linear regression using the Model Context Protocol (MCP) framework. This project demonstrates how to apply linear regression techniques within the MCP architecture.
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Uploads a CSV file and stores it for processing. Parameters: path (string) - Absolute path to the CSV file.
Retrieves the column names in the uploaded dataset. Parameters: None.
Checks for any categorical columns in the dataset. Parameters: None.
Label encodes categorical columns into numerical values. Parameters: None.
Trains a linear regression model and calculates RMSE. Parameters: output_column (string) - The name of the target column.
