Tests a linear regression model by predicting and evaluating accuracy using R2 score. More...

#include <stdio.h>
#include <dmlfw.h>
#include <stdlib.h>

Include dependency graph for gd_test_model.c:

void	load_dataset (dmlfw_mat_double x, dmlfw_column_vec_double y, dmlfw_column_vec_double **model)
	Loads test dataset features X, target values Y, and model parameters.

int	main (int argc, char *argv[])
	Main function to run the model testing example.

char *	MODEL

void	print_error_and_exit ()
	Prints the ml-framework error string and exits the program.

#define	TESTING_DATASET "IceCreamSales_testing_examples.csv"

Detailed Description

Tests a linear regression model by predicting and evaluating accuracy using R2 score.

Author: Mohammed Daniyal

Version: 1.0

Date: 2025-09-26

This tool loads a test dataset and pre-trained model parameters, makes predictions using ml-framework linear regression prediction functionality, computes the R2 accuracy score, and prints the result. It also handles errors and resource cleanup.

Usage: ./gd_test_model model_csv_file

Parameters:

model_csv_file: Path to CSV file containing saved model parameters.

Macro Definition Documentation

◆ TESTING_DATASET

#define TESTING_DATASET "IceCreamSales_testing_examples.csv"

Function Documentation

◆ load_dataset()

void load_dataset	(	dmlfw_mat_double **	x,
		dmlfw_column_vec_double **	y,
		dmlfw_column_vec_double **	model
	)

Loads test dataset features X, target values Y, and model parameters.

The dataset used is fixed to IceCreamSales_testing_examples.csv. A bias column of all 1.0 is prepended to features.

Parameters

[out]	x	Pointer to features matrix pointer.
[out]	y	Pointer to target column vector pointer.
[out]	model	Pointer to model parameters vector pointer.

◆ main()

int main	(	int	argc,
		char *	argv[]
	)

Main function to run the model testing example.

Loads dataset and model, performs prediction, computes accuracy using R2 score, prints accuracy, and manages resources.

Parameters

argc	Argument count.
argv	Argument vector.

Returns: 0 on success or error.

◆ print_error_and_exit()

void print_error_and_exit ( )

Prints the ml-framework error string and exits the program.

Variable Documentation

◆ MODEL

char* MODEL