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author
Hamzeh Alsalhi
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Fix typo individual
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sklearn/multiclass.py

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@@ -114,7 +114,7 @@ def fit_ovr(estimator, X, y, n_jobs=1):
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Y = lb.fit_transform(y)
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Y = Y.tocsc()
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columns = (col.toarray().ravel() for col in Y.T)
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# In cases where indivdual estimators are very fast to train setting
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# In cases where individual estimators are very fast to train setting
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# n_jobs > 1 in can results in slower performance due to the overhead
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# of spawning threads.
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estimators = Parallel(n_jobs=n_jobs)(delayed(_fit_binary)

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