CSV

LinearML has it's own simple CSV parser.

Here is an example code on how to use it. Will be working on the code of Multiple Linear Regression mentioned here.

Here, instead of the data being explicitly passed using Arrays, we will use CSV files.

Example

data.csv

1	1	3.25
1	2	6.5
2	2	3.5
0	1	5.0

#include <stdio.h>

#include "ds/mat.h"
#include "ml/multiregress.h"
#include "parsers/csv.h"

int main(void) {
    // initialize the reader for 4 row 3 col CSV file,
    // using ',' as the delimiter
    CSV *csv_reader = csv_init(4, 3, ',');

    // parse the CSV file
    csv_parse(csv_reader, "data.csv");

    // select the cols needed for X and Y values
    Mat *X = csv_get_mat(csv_reader, (int[]){0, 1}, 2);
    Mat *Y = csv_get_mat(csv_reader, (int[]){2}, 1);

    // initialize the model
    MLinearRegressionModel *model = mlinregress_init();

    // fit/train the model
    mlinregress_fit(model, X, Y);

    // print the properties.
    mat_printp(model->coefs, 7);
    printf("Intercept: %f\n", model->intercept);

    // free everything.
    mlinregress_free(model);
    mat_free(X);
    mat_free(Y);
    csv_free(csv_reader);
}

Limitations of the parser

• CSV file should not have a header
• all values must exists
• all values must be floats / ints