Carlos-Francisco Méndez-Cruz

Training, crossvalidation and testing structural domain dataset

......@@ -100,7 +100,7 @@ if __name__ == "__main__":
choices=('linear', 'rbf', 'poly'), default='linear')
parser.add_argument("--reduction", dest="reduction",
help="Feature selection or dimensionality reduction", metavar="NAME",
choices=('SVD200', 'SVD300', 'CHI250', 'CHI2100'), default='SVD200')
choices=('SVD200', 'SVD300', 'CHI250', 'CHI2100'), default=None)
parser.add_argument("--removeStopWords", default=False,
action="store_true", dest="removeStopWords",
help="Remove stop words")
......@@ -208,13 +208,13 @@ if __name__ == "__main__":
print(" Done!")
print(" Number of training classes: {}".format(len(y_train)))
print(" Number of training class A: {}".format(y_train.count('A')))
print(" Number of training class I: {}".format(y_train.count('I')))
print(" Number of training class RI: {}".format(y_train.count('RI')))
print(" Number of training class OTHER: {}".format(y_train.count('OTHER')))
print(" Shape of training matrix: {}".format(X_train.shape))
print(" Number of testing classes: {}".format(len(y_test)))
print(" Number of testing class A: {}".format(y_test.count('A')))
print(" Number of testing class I: {}".format(y_test.count('I')))
print(" Number of testing class RI: {}".format(y_test.count('RI')))
print(" Number of testing class OTHER: {}".format(y_test.count('OTHER')))
print(" Shape of testing matrix: {}".format(X_test.shape))
# Feature selection and dimensional reduction
......