8000 remove unused imports · scikit-learn/scikit-learn@5069dcf · GitHub
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remove unused imports
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17 files changed

+7
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17 files changed

+7
-30
lines changed

‎sklearn/covariance/tests/test_graph_lasso.py

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@@ -9,7 +9,6 @@
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from sklearn.utils.testing import assert_array_almost_equal
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from sklearn.utils.testing import assert_array_less
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from sklearn.utils.testing import assert_warns_message
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from sklearn.utils.testing import ignore_warnings
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from sklearn.covariance import (graph_lasso, GraphLasso, GraphLassoCV,
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from sklearn.utils import check_random_state
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from sklearn import datasets
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from numpy.testing import assert_equal
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@ignore_warnings(category=DeprecationWarning)
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def test_graph_lasso(random_state=0):
@@ -140,4 +137,4 @@ def test_graph_lasso_cv(random_state=1):
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sys.stdout = orig_stdout
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# Smoke test with specified alphas
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GraphLassoCV(alphas=[0.8, 0.5], tol=1e-1, n_jobs=1).fit(X)
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GraphLassoCV(alphas=[0.8, 0.5], tol=1e-1, n_jobs=1).fit(X)

‎sklearn/decomposition/fastica_.py

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from ..exceptions import ConvergenceWarning
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from ..externals import six
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from ..externals.six import moves
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from ..externals.six import string_types
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from ..utils import check_array, as_float_array, check_random_state
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from ..utils.validation import check_is_fitted
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from ..utils.validation import FLOAT_DTYPES

‎sklearn/decomposition/online_lda.py

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import numpy as np
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import scipy.sparse as sp
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from scipy.special import gammaln
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import warnings
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from ..base import BaseEstimator, TransformerMixin
< 6D40 /td>
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from ..utils import (check_random_state, check_array,

‎sklearn/discriminant_analysis.py

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from __future__ import print_function
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import warnings
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import numpy as np
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from .utils import deprecated
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from scipy import linalg
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from .externals.six import string_types
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from .externals.six.moves import xrange

‎sklearn/gaussian_process/gpr.py

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from sklearn.gaussian_process.kernels import RBF, ConstantKernel as C
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from sklearn.utils import check_random_state
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from sklearn.utils.validation import check_X_y, check_array
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from sklearn.utils.deprecation import deprecated
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from sklearn.exceptions import ConvergenceWarning
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‎sklearn/linear_model/least_angle.py

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from .base import LinearModel
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from ..base import RegressorMixin
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from ..utils import arrayfuncs, as_float_array, check_X_y, deprecated
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from ..utils import arrayfuncs, as_float_array, check_X_y
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from ..model_selection import check_cv
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from ..exceptions import ConvergenceWarning
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from ..utils import Parallel, delayed

‎sklearn/manifold/t_sne.py

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from . import _utils
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from . import _barnes_hut_tsne
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from ..externals.six import string_types
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from ..utils import deprecated
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MACHINE_EPSILON = np.finfo(np.double).eps
@@ -805,7 +804,6 @@ def _fit(self, X, skip_num_points=0):
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neighbors=neighbors_nn,
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skip_num_points=skip_num_points)
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def _tsne(self, P, degrees_of_freedom, n_samples, X_embedded,
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neighbors=None, skip_num_points=0):
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"""Runs t-SNE."""

‎sklearn/preprocessing/_function_transformer.py

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from ..base import BaseEstimator, TransformerMixin
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from ..utils import check_array
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from ..utils.testing import assert_allclose_dense_sparse
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from ..externals.six import string_types
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def _identity(X):

‎sklearn/preprocessing/data.py

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from ..base import BaseEstimator, TransformerMixin
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from ..externals import six
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from ..externals.six import string_types
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from ..utils import check_array
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from ..utils.extmath import row_norms
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from ..utils.extmath import _incremental_mean_and_var
@@ -2872,4 +2871,4 @@ def power_transform(X, method='box-cox', standardize=True, copy=True):
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Royal Statistical Society B, 26, 211-252 (1964).
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"""
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pt = PowerTransformer(method=method, standardize=standardize, copy=copy)
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return pt.fit_transform(X)
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return pt.fit_transform(X)

‎sklearn/tests/test_calibration.py

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@@ -11,8 +11,7 @@
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assert_greater, assert_almost_equal,
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assert_greater_equal,
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assert_array_equal,
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assert_raises,
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ignore_warnings)
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assert_raises)
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from sklearn.datasets import make_classification, make_blobs
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from sklearn.naive_bayes import MultinomialNB
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from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor

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