scikit-learn · qinhanmin2014 · Feb 2, 2019 · Dec 15, 2018 · Dec 15, 2018 · Dec 16, 2018
diff --git a/benchmarks/bench_20newsgroups.py b/benchmarks/bench_20newsgroups.py
@@ -1,4 +1,3 @@
-from __future__ import print_function, division
 from time import time
 import argparse
 import numpy as np

diff --git a/benchmarks/bench_covertype.py b/benchmarks/bench_covertype.py
@@ -40,7 +40,6 @@
 [1] https://archive.ics.uci.edu/ml/datasets/Covertype
 
 """
-from __future__ import division, print_function
 
 # Author: Peter Prettenhofer <[email protected]>
 # Arnaud Joly <[email protected]>

diff --git a/benchmarks/bench_isotonic.py b/benchmarks/bench_isotonic.py
@@ -10,8 +10,6 @@
 This allows the scaling of the algorithm with the problem size to be
 visualized and understood.
 """
-from __future__ import print_function
-
 import numpy as np
 import gc
 from datetime import datetime

diff --git a/benchmarks/bench_mnist.py b/benchmarks/bench_mnist.py
@@ -25,7 +25,6 @@
  CART 20.69s 0.02s 0.1219
  dummy 0.00s 0.01s 0.8973
 """
-from __future__ import division, print_function
 
 # Author: Issam H. Laradji
 # Arnaud Joly <[email protected]>

diff --git a/benchmarks/bench_multilabel_metrics.py b/benchmarks/bench_multilabel_metrics.py
@@ -2,8 +2,6 @@
 """
 A comparison of multilabel target formats and metrics over them
 """
-from __future__ import division
-from __future__ import print_function
 
 from timeit import timeit
 from functools import partial

diff --git a/benchmarks/bench_plot_fastkmeans.py b/benchmarks/bench_plot_fastkmeans.py
@@ -1,5 +1,3 @@
-from __future__ import print_function
-
 from collections import defaultdict
 from time import time
 

diff --git a/benchmarks/bench_plot_lasso_path.py b/benchmarks/bench_plot_lasso_path.py
@@ -2,8 +2,6 @@
 
 The input data is mostly low rank but is a fat infinite tail.
 """
-from __future__ import print_function
-
 from collections import defaultdict
 import gc
 import sys

diff --git a/benchmarks/bench_plot_nmf.py b/benchmarks/bench_plot_nmf.py
@@ -6,7 +6,6 @@
 # Anthony Di Franco (projected gradient, Python and NumPy port)
 # License: BSD 3 clause
 
-from __future__ import print_function
 from time import time
 import sys
 import warnings

diff --git a/benchmarks/bench_plot_omp_lars.py b/benchmarks/bench_plot_omp_lars.py
@@ -3,8 +3,6 @@
 
 The input data is mostly low rank but is a fat infinite tail.
 """
-from __future__ import print_function
-
 import gc
 import sys
 from time import time

diff --git a/benchmarks/bench_random_projections.py b/benchmarks/bench_random_projections.py
@@ -6,9 +6,6 @@
 Benchmarks for random projections.
 
 """
-from __future__ import division
-from __future__ import print_function
-
 import gc
 import sys
 import optparse

diff --git a/benchmarks/bench_sample_without_replacement.py b/benchmarks/bench_sample_without_replacement.py
@@ -2,9 +2,6 @@
 Benchmarks for sampling without replacement of integer.
 
 """
-from __future__ import division
-from __future__ import print_function
-
 import gc
 import sys
 import optparse

diff --git a/benchmarks/bench_text_vectorizers.py b/benchmarks/bench_text_vectorizers.py
@@ -8,9 +8,6 @@
  * psutil (optional, but recommended)
 
 """
-
-from __future__ import print_function
-
 import timeit
 import itertools
 

diff --git a/benchmarks/bench_tsne_mnist.py b/benchmarks/bench_tsne_mnist.py
@@ -4,7 +4,6 @@
 =============================
 
 """
-from __future__ import division, print_function
 
 # License: BSD 3 clause
 

diff --git a/build_tools/circle/list_versions.py b/build_tools/circle/list_versions.py
@@ -1,8 +1,6 @@
 #!/usr/bin/env python3
 
 # List all available versions of the documentation
-from __future__ import print_function
-
 import json
 import re
 import sys

diff --git a/build_tools/generate_authors_table.py b/build_tools/generate_authors_table.py
@@ -6,8 +6,6 @@
 The table should be updated for each new inclusion in the teams.
 Generating the table requires admin rights.
 """
-from __future__ import print_function
-
 import sys
 import requests
 import getpass

diff --git a/doc/conf.py b/doc/conf.py
@@ -12,7 +12,6 @@
 # All configuration values have a default; values that are commented out
 # serve to show the default.
 
-from __future__ import print_function
 import sys
 import os
 import warnings

diff --git a/doc/modules/compose.rst b/doc/modules/compose.rst
@@ -256,7 +256,6 @@ variable::
 For simple transformations, instead of a Transformer object, a pair of
 functions can be passed, defining the transformation and its inverse mapping::
 
- >>> from __future__ import division
  >>> def func(x):
  ... return np.log(x)
  >>> def inverse_func(x):

diff --git a/doc/tutorial/machine_learning_map/parse_path.py b/doc/tutorial/machine_learning_map/parse_path.py
@@ -4,7 +4,6 @@
 Based on: https://wxpsvg.googlecode.com/svn/trunk/svg/pathdata.py
 According to that project, this file is licensed under the LGPL
 """
-from __future__ import print_function
 
 try:
  from pyparsing import (ParserElement, Literal, Word, CaselessLiteral, 

diff --git a/doc/tutorial/machine_learning_map/svg2imagemap.py b/doc/tutorial/machine_learning_map/svg2imagemap.py
@@ -24,9 +24,6 @@
 group1 through groupN are group ids. If only want particular groups used,
 enter their ids here and all others will be ignored.
 """
-
-from __future__ import print_function
-
 import os
 import re
 import sys

diff --git a/doc/tutorial/statistical_inference/supervised_learning.rst b/doc/tutorial/statistical_inference/supervised_learning.rst
@@ -257,7 +257,6 @@ This is an example of **bias/variance tradeoff**: the larger the ridge
 We can choose ``alpha`` to minimize left out error, this time using the
 diabetes dataset rather than our synthetic data::
 
- >>> from __future__ import print_function
  >>> alphas = np.logspace(-4, -1, 6)
  >>> print([regr.set_params(alpha=alpha)
  ... .fit(diabetes_X_train, diabetes_y_train)

diff --git a/examples/applications/plot_face_recognition.py b/examples/applications/plot_face_recognition.py
@@ -27,8 +27,6 @@
 ================== ============ ======= ========== =======
 
 """
-from __future__ import print_function
-
 from time import time
 import logging
 import matplotlib.pyplot as plt

diff --git a/examples/applications/plot_out_of_core_classification.py b/examples/applications/plot_out_of_core_classification.py
@@ -27,7 +27,6 @@
 # @FedericoV <https://github.com/FedericoV/>
 # License: BSD 3 clause
 
-from __future__ import print_function
 from glob import glob
 import itertools
 import os.path

diff --git a/examples/applications/plot_prediction_latency.py b/examples/applications/plot_prediction_latency.py
@@ -16,7 +16,6 @@
 # Authors: Eustache Diemert <[email protected]>
 # License: BSD 3 clause
 
-from __future__ import print_function
 from collections import defaultdict
 
 import time

diff --git a/examples/applications/plot_species_distribution_modeling.py b/examples/applications/plot_species_distribution_modeling.py
@@ -41,8 +41,6 @@
 #
 # License: BSD 3 clause
 
-from __future__ import print_function
-
 from time import time
 
 import numpy as np

diff --git a/examples/applications/plot_stock_market.py b/examples/applications/plot_stock_market.py
@@ -59,7 +59,6 @@
 heuristic based on the direction of the nearest neighbor along each
 axis.
 """
-from __future__ import print_function
 
 # Author: Gael Varoquaux [email protected]
 # License: BSD 3 clause

diff --git a/examples/applications/plot_tomography_l1_reconstruction.py b/examples/applications/plot_tomography_l1_reconstruction.py
@@ -34,7 +34,6 @@ class :class:`sklearn.linear_model.Lasso`, that uses the coordinate descent
 the circular artifact separating the pixels in the corners, that have
 contributed to fewer projections than the central disk.
 """
-from __future__ import division
 
 print(__doc__)
 

diff --git a/examples/applications/plot_topics_extraction_with_nmf_lda.py b/examples/applications/plot_topics_extraction_with_nmf_lda.py
@@ -26,7 +26,6 @@
 # Chyi-Kwei Yau <[email protected]>
 # License: BSD 3 clause
 
-from __future__ import print_function
 from time import time
 
 from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer

diff --git a/examples/applications/wikipedia_principal_eigenvector.py b/examples/applications/wikipedia_principal_eigenvector.py
@@ -32,8 +32,6 @@
 # Author: Olivier Grisel <[email protected]>
 # License: BSD 3 clause
 
-from __future__ import print_function
-
 from bz2 import BZ2File
 import os
 from datetime import datetime

diff --git a/examples/bicluster/plot_bicluster_newsgroups.py b/examples/bicluster/plot_bicluster_newsgroups.py
@@ -22,8 +22,6 @@
 achieve a better V-measure than clusters found by MiniBatchKMeans.
 
 """
-from __future__ import print_function
-
 from collections import defaultdict
 import operator
 from time import time

diff --git a/examples/classification/plot_lda.py b/examples/classification/plot_lda.py
@@ -5,9 +5,6 @@
 
 Shows how shrinkage improves classification.
 """
-
-from __future__ import division
-
 import numpy as np
 import matplotlib.pyplot as plt
 

diff --git a/examples/cluster/plot_kmeans_silhouette_analysis.py b/examples/cluster/plot_kmeans_silhouette_analysis.py
@@ -29,9 +29,6 @@
 or less of similar thickness and hence are of similar sizes as can be also
 verified from the labelled scatter plot on the right.
 """
-
-from __future__ import print_function
-
 from sklearn.datasets import make_blobs
 from sklearn.cluster import KMeans
 from sklearn.metrics import silhouette_samples, silhouette_score

diff --git a/examples/compose/plot_column_transformer.py b/examples/compose/plot_column_transformer.py
@@ -26,7 +26,6 @@
 # Author: Matt Terry <[email protected]>
 #
 # License: BSD 3 clause
-from __future__ import print_function
 
 import numpy as np
 

diff --git a/examples/compose/plot_column_transformer_mixed_types.py b/examples/compose/plot_column_transformer_mixed_types.py
@@ -24,8 +24,6 @@
 #
 # License: BSD 3 clause
 
-from __future__ import print_function
-
 import pandas as pd
 import numpy as np
 

diff --git a/examples/compose/plot_compare_reduction.py b/examples/compose/plot_compare_reduction.py
@@ -29,7 +29,6 @@
 
 # Authors: Robert McGibbon, Joel Nothman, Guillaume Lemaitre
 
-from __future__ import print_function, division
 
 import numpy as np
 import matplotlib.pyplot as plt

diff --git a/examples/compose/plot_feature_union.py b/examples/compose/plot_feature_union.py
@@ -19,7 +19,6 @@
 #
 # License: BSD 3 clause
 
-from __future__ import print_function
 from sklearn.pipeline import Pipeline, FeatureUnion
 from sklearn.model_selection import GridSearchCV
 from sklearn.svm import SVC

diff --git a/examples/compose/plot_transformed_target.py b/examples/compose/plot_transformed_target.py
@@ -17,7 +17,6 @@
 # Author: Guillaume Lemaitre <[email protected]>
 # License: BSD 3 clause
 
-from __future__ import print_function, division
 
 import numpy as np
 import matplotlib

diff --git a/examples/datasets/plot_random_multilabel_dataset.py b/examples/datasets/plot_random_multilabel_dataset.py
@@ -34,7 +34,6 @@
 feature distinguishes a particular class.
 """
 
-from __future__ import print_function
 import numpy as np
 import matplotlib.pyplot as plt
 

diff --git a/examples/ensemble/plot_partial_dependence.py b/examples/ensemble/plot_partial_dependence.py
@@ -44,7 +44,6 @@
 .. [2] For classification you can think of it as the regression score before
  the link function.
 """
-from __future__ import print_function
 print(__doc__)
 
 import numpy as np

diff --git a/examples/exercises/plot_cv_diabetes.py b/examples/exercises/plot_cv_diabetes.py
@@ -9,7 +9,6 @@
 :ref:`model_selection_tut` section of the :ref:`stat_learn_tut_index`.
 """
 
-from __future__ import print_function
 print(__doc__)
 
 import numpy as np

diff --git a/examples/gaussian_process/plot_gpr_co2.py b/examples/gaussian_process/plot_gpr_co2.py
@@ -61,7 +61,6 @@
 #
 # License: BSD 3 clause
 
-from __future__ import division, print_function
 
 import numpy as np
 

diff --git a/examples/linear_model/plot_sgd_early_stopping.py b/examples/linear_model/plot_sgd_early_stopping.py
@@ -38,7 +38,6 @@
 # Authors: Tom Dupre la Tour
 #
 # License: BSD 3 clause
-from __future__ import print_function
 import time
 import sys
 

diff --git a/examples/model_selection/grid_search_text_feature_extraction.py b/examples/model_selection/grid_search_text_feature_extraction.py
@@ -46,9 +46,6 @@
 # Peter Prettenhofer <[email protected]>
 # Mathieu Blondel <[email protected]>
 # License: BSD 3 clause
-
-from __future__ import print_function
-
 from pprint import pprint
 from time import time
 import logging

diff --git a/examples/model_selection/plot_grid_search_digits.py b/examples/model_selection/plot_grid_search_digits.py
@@ -15,9 +15,6 @@
 sections on :ref:`cross_validation` and :ref:`grid_search`.
 
 """
-
-from __future__ import print_function
-
 from sklearn import datasets
 from sklearn.model_selection import train_test_split
 from sklearn.model_selection import GridSearchCV

diff --git a/examples/model_selection/plot_precision_recall.py b/examples/model_selection/plot_precision_recall.py
@@ -90,8 +90,6 @@
  :func:`sklearn.metrics.precision_score`,
  :func:`sklearn.metrics.f1_score`
 """
-from __future__ import print_function
-
 ###############################################################################
 # In binary classification settings
 # --------------------------------------------------------

diff --git a/examples/neural_networks/plot_rbm_logistic_classification.py b/examples/neural_networks/plot_rbm_logistic_classification.py
@@ -24,9 +24,6 @@
 example shows that the features extracted by the BernoulliRBM help improve the
 classification accuracy.
 """
-
-from __future__ import print_function
-
 print(__doc__)
 
 # Authors: Yann N. Dauphin, Vlad Niculae, Gabriel Synnaeve

diff --git a/examples/plot_kernel_ridge_regression.py b/examples/plot_kernel_ridge_regression.py
@@ -35,7 +35,6 @@
 # License: BSD 3 clause
 
 
-from __future__ import division
 import time
 
 import numpy as np