refactor(examples/trails/sklearn)-remove empty lines

jimbojumbo · Nov 20, 2019 · de76aa4 · de76aa4
1 parent 823369f
commit de76aa4
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diff --git a/examples/trials/sklearn/classification/main.py b/examples/trials/sklearn/classification/main.py
@@ -25,7 +25,6 @@
 
 LOG = logging.getLogger('sklearn_classification')
 
-
 def load_data():
     '''Load dataset, use 20newsgroups dataset'''
     digits = load_digits()
@@ -38,7 +37,6 @@ def load_data():
 
     return X_train, X_test, y_train, y_test
 
-
 def get_default_parameters():
     '''get default parameters'''
     params = {
@@ -50,7 +48,6 @@ def get_default_parameters():
     }
     return params
 
-
 def get_model(PARAMS):
     '''Get model according to parameters'''
     model = SVC()
@@ -62,15 +59,13 @@ def get_model(PARAMS):
 
     return model
 
-
 def run(X_train, X_test, y_train, y_test, model):
     '''Train model and predict result'''
     model.fit(X_train, y_train)
     score = model.score(X_test, y_test)
     LOG.debug('score: %s' % score)
     nni.report_final_result(score)
 
-
 if __name__ == '__main__':
     X_train, X_test, y_train, y_test = load_data()
 

diff --git a/examples/trials/sklearn/regression/main.py b/examples/trials/sklearn/regression/main.py
@@ -30,7 +30,6 @@
 
 LOG = logging.getLogger('sklearn_regression')
 
-
 def load_data():
     '''Load dataset, use boston dataset'''
     boston = load_boston()
@@ -47,13 +46,11 @@ def load_data():
 
     return X_train, X_test, y_train, y_test
 
-
 def get_default_parameters():
     '''get default parameters'''
     params = {'model_name': 'LinearRegression'}
     return params
 
-
 def get_model(PARAMS):
     '''Get model according to parameters'''
     model_dict = {
@@ -78,7 +75,6 @@ def get_model(PARAMS):
         raise
     return model
 
-
 def run(X_train, X_test, y_train, y_test, model):
     '''Train model and predict result'''
     model.fit(X_train, y_train)
@@ -87,7 +83,6 @@ def run(X_train, X_test, y_train, y_test, model):
     LOG.debug('r2 score: %s' % score)
     nni.report_final_result(score)
 
-
 if __name__ == '__main__':
     X_train, X_test, y_train, y_test = load_data()