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

Code Duplication Length = 13-13 lines in 2 locations

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


    return scores.mean()


def model2(para, X, y):
    model = GradientBoostingClassifier(
        n_estimators=para["n_estimators"],
        learning_rate=para["learning_rate"],
        max_depth=para["max_depth"],
        min_samples_split=para["min_samples_split"],
        min_samples_leaf=para["min_samples_leaf"],
        subsample=para["subsample"],
        max_features=para["max_features"],
    )
    scores = cross_val_score(model, X, y, cv=3)

    return scores.mean()


search_config = {

examples/distribution/Multiprocessing.py 1 location


    return scores.mean()


def model2(para, X, y):
    gbc = GradientBoostingClassifier(
        n_estimators=para["n_estimators"],
        learning_rate=para["learning_rate"],
        max_depth=para["max_depth"],
        min_samples_split=para["min_samples_split"],
        min_samples_leaf=para["min_samples_leaf"],
        subsample=para["subsample"],
        max_features=para["max_features"],
    )
    scores = cross_val_score(gbc, X, y, cv=3)

    return scores.mean()


search_config = {

		@@ 41-53 (lines=13) @@
38		return scores.mean()
39
40
41		def model2(para, X, y):
42		model = GradientBoostingClassifier(
43		n_estimators=para["n_estimators"],
44		learning_rate=para["learning_rate"],
45		max_depth=para["max_depth"],
46		min_samples_split=para["min_samples_split"],
47		min_samples_leaf=para["min_samples_leaf"],
48		subsample=para["subsample"],
49		max_features=para["max_features"],
50		)
51		scores = cross_val_score(model, X, y, cv=3)
52
53		return scores.mean()
54
55
56		search_config = {

		@@ 41-53 (lines=13) @@
38		return scores.mean()
39
40
41		def model2(para, X, y):
42		gbc = GradientBoostingClassifier(
43		n_estimators=para["n_estimators"],
44		learning_rate=para["learning_rate"],
45		max_depth=para["max_depth"],
46		min_samples_split=para["min_samples_split"],
47		min_samples_leaf=para["min_samples_leaf"],
48		subsample=para["subsample"],
49		max_features=para["max_features"],
50		)
51		scores = cross_val_score(gbc, X, y, cv=3)
52
53		return scores.mean()
54
55
56		search_config = {

SimonBlanke / Hyperactive

Code Duplication Length = 13-13 lines in 2 locations

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

examples/distribution/Multiprocessing.py 1 location