Linear Regression
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Summary
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.
Available Actions(5)
upload_file
Uploads a CSV file and stores it for processing. Parameters: path (string) - Absolute path to the CSV file.
get_columns_info
Retrieves the column names in the uploaded dataset. No arguments.
check_category_columns
Checks for any categorical columns in the dataset. No arguments.
label_encode_categorical_columns
Label encodes categorical columns into numerical values. No arguments.
train_linear_regression_model
Trains a linear regression model and calculates RMSE. Parameters: output_column (string) - The name of the target column.
Last Updated: April 17, 2025
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