Carlos-Francisco Méndez-Cruz

Training, crossvalidation and testing binding thrombin dataset

......@@ -230,13 +230,13 @@ if __name__ == "__main__":
print(" Done!")
print("Training...")
classifier.fit(X_train, y_train)
myClassifier.fit(X_train, y_train)
print(" Done!")
print("Testing (prediction in new data)...")
if args.reduction is not None:
X_test = reduc.transform(X_test)
y_pred = classifier.predict(X_test)
y_pred = myClassifier.predict(X_test)
print(" Done!")
print("Saving report...")
......