mirror of https://github.com/TheAlgorithms/C
feat: Add endlines in `machine_learning/adaline_learning.c` (#846)
Add endlines in `machine_learning/adaline_learning.c`. Co-authored-by: David Leal <halfpacho@gmail.com>
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@ -240,20 +240,20 @@ void test1(double eta)
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}
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printf("------- Test 1 -------\n");
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printf("Model before fit: %s", adaline_get_weights_str(&ada));
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printf("Model before fit: %s\n", adaline_get_weights_str(&ada));
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adaline_fit(&ada, X, Y, N);
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printf("Model after fit: %s\n", adaline_get_weights_str(&ada));
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double test_x[] = {5, -3};
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int pred = adaline_predict(&ada, test_x, NULL);
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printf("Predict for x=(5,-3): % d", pred);
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printf("Predict for x=(5,-3): % d\n", pred);
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assert(pred == -1);
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printf(" ...passed\n");
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double test_x2[] = {5, 8};
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pred = adaline_predict(&ada, test_x2, NULL);
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printf("Predict for x=(5, 8): % d", pred);
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printf("Predict for x=(5, 8): % d\n", pred);
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assert(pred == 1);
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printf(" ...passed\n");
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@ -294,7 +294,7 @@ void test2(double eta)
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}
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printf("------- Test 2 -------\n");
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printf("Model before fit: %s", adaline_get_weights_str(&ada));
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printf("Model before fit: %s\n", adaline_get_weights_str(&ada));
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adaline_fit(&ada, X, Y, N);
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printf("Model after fit: %s\n", adaline_get_weights_str(&ada));
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@ -309,7 +309,7 @@ void test2(double eta)
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test_x[0] = x0;
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test_x[1] = x1;
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int pred = adaline_predict(&ada, test_x, NULL);
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printf("Predict for x=(% 3.2f,% 3.2f): % d", x0, x1, pred);
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printf("Predict for x=(% 3.2f,% 3.2f): % d\n", x0, x1, pred);
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int expected_val = (x0 + 3. * x1) > -1 ? 1 : -1;
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assert(pred == expected_val);
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@ -362,7 +362,7 @@ void test3(double eta)
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}
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printf("------- Test 3 -------\n");
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printf("Model before fit: %s", adaline_get_weights_str(&ada));
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printf("Model before fit: %s\n", adaline_get_weights_str(&ada));
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adaline_fit(&ada, X, Y, N);
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printf("Model after fit: %s\n", adaline_get_weights_str(&ada));
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@ -381,7 +381,7 @@ void test3(double eta)
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test_x[4] = x1 * x1;
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test_x[5] = x2 * x2;
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int pred = adaline_predict(&ada, test_x, NULL);
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printf("Predict for x=(% 3.2f,% 3.2f): % d", x0, x1, pred);
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printf("Predict for x=(% 3.2f,% 3.2f): % d\n", x0, x1, pred);
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int expected_val = (x0 * x0 + x1 * x1 + x2 * x2) <= 1 ? 1 : -1;
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assert(pred == expected_val);
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