COSMIT remove unused imports, pep8

Author: amueller

sklearn/decomposition/dict_learning.py

@@ -6,7 +6,6 @@
 import time
 import sys
 import itertools
-import warnings
 
 from math import sqrt, floor, ceil
 

sklearn/decomposition/fastica_.py

@@ -13,7 +13,7 @@
 from scipy import linalg
 
 from ..base import BaseEstimator, TransformerMixin
-from ..utils import array2d, as_float_array, check_random_state, deprecated
+from ..utils import array2d, as_float_array, check_random_state
 
 __all__ = ['fastica', 'FastICA']
 

sklearn/decomposition/pca.py

@@ -7,7 +7,6 @@
 # License: BSD Style.
 
 import numpy as np
-import warnings
 from scipy import linalg
 from math import log
 

sklearn/decomposition/sparse_pca.py

@@ -2,8 +2,6 @@
 # Author: Vlad Niculae, Gael Varoquaux, Alexandre Gramfort
 # License: BSD
 
-import warnings
-
 import numpy as np
 
 from ..utils import check_random_state, array2d

sklearn/ensemble/gradient_boosting.py

@@ -25,7 +25,6 @@
 from abc import ABCMeta, abstractmethod
 
 import sys
-import warnings
 
 import numpy as np
 

sklearn/gaussian_process/gaussian_process.py

@@ -11,7 +11,6 @@
 from ..base import BaseEstimator, RegressorMixin
 from ..metrics.pairwise import manhattan_distances
 from ..utils import array2d, check_random_state
-from ..utils import deprecated
 from . import regression_models as regression
 from . import correlation_models as correlation
 

sklearn/mixture/dpgmm.py

@@ -10,7 +10,6 @@
 #
 
 import numpy as np
-import warnings
 from scipy.special import digamma as _digamma, gammaln as _gammaln
 from scipy import linalg
 from scipy.spatial.distance import cdist

sklearn/neighbors/classification.py

@@ -18,7 +18,7 @@
  NeighborsBase, KNeighborsMixin,\
  RadiusNeighborsMixin, SupervisedIntegerMixin
 from ..base import ClassifierMixin
-from ..utils import atleast2d_or_csr, deprecated
+from ..utils import atleast2d_or_csr
 
 
 class KNeighborsClassifier(NeighborsBase, KNeighborsMixin,

sklearn/neighbors/regression.py

@@ -16,8 +16,7 @@
  NeighborsBase, KNeighborsMixin, \
  RadiusNeighborsMixin, SupervisedFloatMixin
 from ..base import RegressorMixin
-from ..utils import atleast2d_or_csr, deprecated
-
+from ..utils import atleast2d_or_csr
 
 
 class KNeighborsRegressor(NeighborsBase, KNeighborsMixin,

sklearn/neighbors/tests/test_neighbors.py

@@ -561,14 +561,15 @@ def test_neighbors_badargs():
  nbrs.radius_neighbors_graph,
  X, mode='blah')
 
+
 def test_neighbors_deprecation_arg():
  """Test that passing the deprecated parameter will cause a
  warning to be raised, as well as not crash the estimator."""
  for cls in (neighbors.KNeighborsClassifier,
  neighbors.KNeighborsRegressor):
  with warnings.catch_warnings(record=True) as w:
  warnings.simplefilter("always")
- A = cls(warn_on_equidistant=True)
+ cls(warn_on_equidistant=True)
  assert_equal(len(w), 1)