Add CLI argument for preprocessing and model

src/processing.py

@@ -8,6 +8,8 @@ from sklearn.preprocessing import scale
 from sklearn.svm import LinearSVC
 from sklearn.tree import DecisionTreeClassifier
 
+from sys import argv
+
 from preprocessing import parse_data, split_k_sets
 
 
@@ -62,9 +64,25 @@ def evaluate_performance(confusion_matrix, accuracy, cv_score, auc):
     print("AUC: " + str(auc))
 
 
+def usage():
+    print("Usage: " + argv[0] + "<preprocessing action> <model>")
+    print("preprocessing actions:")
+    print("fill: fills the na values with the mean")
+    print("drop: drops the na values")
+    print("models:")
+    print("gnb: Gaussian Naive Bayes")
+    print("svc: Linear Support Vector Classification")
+    print("knn: K-neighbors")
+    print("tree: Decision tree")
+    print("neuralnet: MLP Classifier")
+    exit()
+
+
 def main():
-    data, target = parse_data(source="data/mamografia.csv", action="drop")
+    if len(argv) != 3:
-    predict_data(data=data, target=target, model="neuralnet")
+        usage()
+    data, target = parse_data(source="data/mamografia.csv", action=str(argv[1]))
+    predict_data(data=data, target=target, model=str(argv[2]))
 
 
 if __name__ == "__main__":