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# Imports
source("staging/fm-regression.dml") as fm_regression

# generate dummy data (just a sample!)
n = 1000; d = 9; k=2;
X = rand(rows=n, cols=d);
y = rand(rows=n, cols=1);
X_val = rand(rows=100, cols=d);
y_val = rand(rows=100, cols=1);

# Train
[w0, W, V] = fm_regression::train(X, y, X_val, y_val, 10);

# Evaluate
probs = fm_regression::predict(X, w0, W, V);
[loss, accuracy] = fm_regression::eval(probs, y);

# Output results
print("Test Accuracy: " + accuracy)
