clean up codacy issues
@@ -10,7 +10,6 @@ from sklearn import preprocessing
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import GridSearchCV
from sklearn.neural_network import MLPClassifier
-from sklearn.neural_network import MLPClassifier
from sklearn.preprocessing import LabelBinarizer
from networkml.algorithms.host_footprint import HostFootprint
@@ -54,7 +53,7 @@ def test_serialize_model():
label_binarizer.classes_ = np.array([0])
parameters = {'hidden_layer_sizes': [(64, 32)]}
- clf = GridSearchCV(model, parameters,
+ GridSearchCV(model, parameters,
cv=5, n_jobs=-1,
scoring='f1_weighted')
