diff --git a/.gitignore b/.gitignore
index f377c56..5b924b0 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,3 @@
 venv
 .idea
+tests
\ No newline at end of file
diff --git a/micromlgen/__pycache__/__init__.cpython-36.pyc b/micromlgen/__pycache__/__init__.cpython-36.pyc
new file mode 100644
index 0000000..bf85d49
Binary files /dev/null and b/micromlgen/__pycache__/__init__.cpython-36.pyc differ
diff --git a/micromlgen/__pycache__/micromlgen.cpython-36.pyc b/micromlgen/__pycache__/micromlgen.cpython-36.pyc
new file mode 100644
index 0000000..2b4cacd
Binary files /dev/null and b/micromlgen/__pycache__/micromlgen.cpython-36.pyc differ
diff --git a/micromlgen/micromlgen_test.py b/micromlgen/micromlgen_test.py
deleted file mode 100644
index 60b3692..0000000
--- a/micromlgen/micromlgen_test.py
+++ /dev/null
@@ -1,22 +0,0 @@
-import pickle
-from micromlgen import port
-from sklearn.svm import SVC
-from sklearn.datasets import load_iris
-
-
-if __name__ == '__main__':
-    test_iris = True
-    if test_iris:
-        iris = load_iris()
-        X = iris.data
-        y = iris.target
-        clf = SVC(kernel='linear').fit(X, y)
-        print(port(clf))
-    else:
-        with open('../svmporter/datasets/svm.clf', 'rb') as file:
-            payload = pickle.load(file)
-            clf = payload['clf']
-            classmap = payload['classmap']
-            # test_set = (payload['X_test'], payload['y_test'])
-            print(port(clf, classmap=classmap))
-
diff --git a/micromlgen/templates/kernel_function.jinja b/micromlgen/templates/kernel_function.jinja
index bc51f03..0ca4bb2 100644
--- a/micromlgen/templates/kernel_function.jinja
+++ b/micromlgen/templates/kernel_function.jinja
@@ -18,11 +18,11 @@ double compute_kernel(double x[{{ FEATURES_DIM }}], ...) {
         {% endif %}
 
     {% if KERNEL_TYPE == 'poly' %}
-        kernel = pow((KERNEL_GAMMA * kernel) + KERNEL_COEF, KERNEL_DEGREE);
+        kernel = pow(({{ KERNEL_GAMMA }} * kernel) + {{ KERNEL_COEF }}, {{ KERNEL_DEGREE }});
     {% elif KERNEL_TYPE == 'rbf' %}
         kernel = exp(-{{ KERNEL_GAMMA }} * kernel);
     {% elif KERNEL_TYPE == 'sigmoid' %}
-        kernel = sigmoid((KERNEL_GAMMA * kernel) + KERNEL_COEF);
+        kernel = sigmoid(({{ KERNEL_GAMMA }} * kernel) + {{ KERNEL_COEF }});
     {% endif %}
 
     return kernel;