From b791792fea1837c608c4577dd02b51f9c33c3bf2 Mon Sep 17 00:00:00 2001
From: Vlad Niculae <vlad@vene.ro>
Date: Wed, 21 Dec 2011 10:59:39 +0100
Subject: [PATCH] pyflakes test_multiclass
---
sklearn/tests/test_multiclass.py | 10 ++++------
1 file changed, 4 insertions(+), 6 deletions(-)
diff --git a/sklearn/tests/test_multiclass.py b/sklearn/tests/test_multiclass.py
index 222485d1e5..fe1b590261 100644
--- a/sklearn/tests/test_multiclass.py
+++ b/sklearn/tests/test_multiclass.py
@@ -1,8 +1,6 @@
import numpy as np
-import scipy.sparse as sp
-from numpy.testing import assert_array_almost_equal
from numpy.testing import assert_array_equal
from nose.tools import assert_equal
from nose.tools import assert_almost_equal
@@ -122,12 +120,12 @@ def test_ovo_exceptions():
def test_ovo_fit_predict():
# A classifier which implements decision_function.
ovo = OneVsOneClassifier(LinearSVC())
- pred = ovo.fit(iris.data, iris.target).predict(iris.data)
+ ovo.fit(iris.data, iris.target).predict(iris.data)
assert_equal(len(ovo.estimators_), n_classes * (n_classes - 1) / 2)
# A classifier which implements predict_proba.
ovo = OneVsOneClassifier(MultinomialNB())
- pred = ovo.fit(iris.data, iris.target).predict(iris.data)
+ ovo.fit(iris.data, iris.target).predict(iris.data)
assert_equal(len(ovo.estimators_), n_classes * (n_classes - 1) / 2)
@@ -148,12 +146,12 @@ def test_ecoc_exceptions():
def test_ecoc_fit_predict():
# A classifier which implements decision_function.
ecoc = OutputCodeClassifier(LinearSVC(), code_size=2)
- pred = ecoc.fit(iris.data, iris.target).predict(iris.data)
+ ecoc.fit(iris.data, iris.target).predict(iris.data)
assert_equal(len(ecoc.estimators_), n_classes * 2)
# A classifier which implements predict_proba.
ecoc = OutputCodeClassifier(MultinomialNB(), code_size=2)
- pred = ecoc.fit(iris.data, iris.target).predict(iris.data)
+ ecoc.fit(iris.data, iris.target).predict(iris.data)
assert_equal(len(ecoc.estimators_), n_classes * 2)
--
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