Code Duplication - SimonBlanke/Hyperactive - Measure and Improve Code Quality continuously with Scrutinizer

Code Duplication Length = 12-12 lines in 2 locations

examples/distribution/Multiprocessing.py 1 location


X, y = data.data, data.target


def model0(para, X, y):
    etc = ExtraTreesClassifier(
        n_estimators=para["n_estimators"],
        criterion=para["criterion"],
        max_features=para["max_features"],
        min_samples_split=para["min_samples_split"],
        min_samples_leaf=para["min_samples_leaf"],
        bootstrap=para["bootstrap"],
    )
    scores = cross_val_score(etc, X, y, cv=3)

    return scores.mean()


def model1(para, X, y):

examples/examples_v1.x.x/distribution/multiprocessing_example.py 1 location


X, y = data.data, data.target


def model0(para, X, y):
    model = ExtraTreesClassifier(
        n_estimators=para["n_estimators"],
        criterion=para["criterion"],
        max_features=para["max_features"],
        min_samples_split=para["min_samples_split"],
        min_samples_leaf=para["min_samples_leaf"],
        bootstrap=para["bootstrap"],
    )
    scores = cross_val_score(model, X, y, cv=3)

    return scores.mean()


def model1(para, X, y):

		@@ 13-24 (lines=12) @@
10		X, y = data.data, data.target
11
12
13		def model0(para, X, y):
14		etc = ExtraTreesClassifier(
15		n_estimators=para["n_estimators"],
16		criterion=para["criterion"],
17		max_features=para["max_features"],
18		min_samples_split=para["min_samples_split"],
19		min_samples_leaf=para["min_samples_leaf"],
20		bootstrap=para["bootstrap"],
21		)
22		scores = cross_val_score(etc, X, y, cv=3)
23
24		return scores.mean()
25
26
27		def model1(para, X, y):

		@@ 13-24 (lines=12) @@
10		X, y = data.data, data.target
11
12
13		def model0(para, X, y):
14		model = ExtraTreesClassifier(
15		n_estimators=para["n_estimators"],
16		criterion=para["criterion"],
17		max_features=para["max_features"],
18		min_samples_split=para["min_samples_split"],
19		min_samples_leaf=para["min_samples_leaf"],
20		bootstrap=para["bootstrap"],
21		)
22		scores = cross_val_score(model, X, y, cv=3)
23
24		return scores.mean()
25
26
27		def model1(para, X, y):

SimonBlanke / Hyperactive

Code Duplication Length = 12-12 lines in 2 locations

examples/distribution/Multiprocessing.py 1 location

examples/examples_v1.x.x/distribution/multiprocessing_example.py 1 location