[scikit-learn] annotated tag debian/0.18-1 created (now 4b5232b)

Andreas Tille tille at debian.org
Wed Dec 28 13:11:08 UTC 2016


This is an automated email from the git hooks/post-receive script.

tille pushed a change to annotated tag debian/0.18-1
in repository scikit-learn.

        at  4b5232b   (tag)
   tagging  595703ce7e6e70dfc86bd31a81da7b2180cdadf9 (commit)
  replaces  debian/0.17.1-2
 tagged by  Yaroslav Halchenko
        on  Thu Sep 29 22:21:57 2016 -0400

- Log -----------------------------------------------------------------
scikit-learn Debian release 0.18-1
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Aditya Joshi (1):
      Update cross_validation.py

Agamemnon Krasoulis (1):
      lda_qda doc: QDA vs Naive Bayes correction (#5997)

Alejandro Correa Bahnsen (1):
      [MRG +1] DOC - add example to cross_val_predict and cross_val_score (#6446)

Alexander Fabisch (4):
      Make clear that GMM is a clustering algorithm
      Remove "clustering" from headings
      Rename example to plot_gmm_covariances.py
      Fix memory leak in Barnes-Hut SNE

Alexander Loginov (1):
      I guess it is some small mistake

Alexander Minyushkin (1):
      [MRG] Misprint in documentaion fixed

Alexander Rudy (1):
      Fix a typing issue in expected mutual information (#7240)

Alexandre Abadie (8):
      referencing datasets documentation in toc
      Update deprecation message in metrics/regression.py (use uniform_average as default multioutput parameter of r2_score function after 0.19)
      Updating deprecation message in metrics.py:
      removing sklearn/metrics/metrics.py
      [MRG+2] DOC: update persistence documentation with Joblib new behavior (#7434)
      DOC fix deprecation warning in faces decomposition example
      fixing failing faces decomposition example
      replace RandomizedPCA by new API in remaining documentation

Alexandre Abraham (3):
      Naive optimization
      Pre-allocate array in _graph_is_connected
      Add test for _graph_connected_component function

Alexandre Gramfort (102):
      Merge pull request #5437 from rvraghav93/remove_deprecated_stuff
      Merge pull request #5468 from jmschrei/pomegranate
      Merge pull request #5475 from glouppe/gp-deprecation
      Merge pull request #5479 from pletelli/fix_circleci_build
      Merge pull request #5478 from rvraghav93/description_undefinedmetricwarning
      Merge pull request #5486 from jakevdp/xrange-fix
      Merge pull request #5457 from aabadie/remove_deprecation_metrics_second_pass
      Merge pull request #5465 from massil94/dev-massil
      Merge pull request #5519 from ishank08/imp_transform
      Merge pull request #5487 from arjoly/example-node
      Merge pull request #5544 from Mbompr/check-PR-5417
      Merge pull request #5274 from MechCoder/liblinear_samples_weights
      MISC : Y->y
      nitpicks
      Merge pull request #5560 from arjoly/serialization-bug-tree
      Merge pull request #5594 from betatim/isolationtree-docs
      Merge pull request #5597 from vortex-ape/matplotlib_issue
      Merge pull request #5613 from jakevdp/tsne-cleanup
      Merge pull request #5617 from ngoix/doc-iforest
      Merge pull request #5648 from sieben/default_argument_mutable
      Merge pull request #5647 from sieben/patch-1
      Merge pull request #5655 from sieben/deprecated
      Merge pull request #5657 from sieben/remove_cython_warnings
      Merge pull request #5666 from amueller/sag_sparse_warnings
      Merge pull request #5753 from staranjeet/grammatical-fix
      Merge pull request #5526 from giorgiop/fix-weight-linearregression
      Merge pull request #5796 from max-moroz/dummy_classifier_memory_efficiency
      Merge pull request #5798 from vruusmann/patch-1
      Merge pull request #5752 from hrjn/fix-5694-proper
      Merge pull request #5809 from lmcinnes/doc_related_hdbscan
      Merge pull request #5754 from rvraghav93/deprecated_mpl_15
      Merge pull request #5831 from codevig/mybranch
      Merge pull request #5895 from toastedcornflakes/master
      Merge pull request #5913 from mekman/doc_fix_minor2
      Merge pull request #5954 from KjellSwedin/correct_LinearRegression_example
      Merge pull request #5962 from alexfields/master
      Merge pull request #5966 from hlin117/pairwise-docs
      Merge pull request #5949 from olologin/plot_svm_anova.py-and-"all-CPU's"
      Merge pull request #5980 from dshieble/Odd_docstring_for_CountVectorizer_analyzer
      Merge pull request #5634 from sieben/space_indentation
      Merge pull request #5990 from jblackburne/fix-test_no_sparse_y_support
      Merge pull request #5994 from fabioticconi/add_link
      Merge pull request #5942 from hlin117/lda_svd
      Merge pull request #5773 from amueller/python3.3_fix_again
      Merge pull request #5721 from amueller/examples_deprecation_fixes
      Merge pull request #6006 from hlin117/logistic_docs
      Merge pull request #5946 from nmayorov/fetch_kddcup99_bug
      Merge pull request #6042 from kputnam/patch-2
      Merge pull request #6046 from davidthaler/plot_krr_fixup
      Merge pull request #6044 from yarikoptic/master
      Merge pull request #6060 from nelson-liu/add-deep-learning-to-faq
      Merge pull request #6067 from IsaacHaze/lsh_link_fix
      Merge pull request #6069 from MechCoder/mbkmeans_fix
      Merge pull request #6068 from nelson-liu/rework_nearest_centroid_classification
      Merge pull request #6097 from mrandrewandrade/master
      Merge pull request #6104 from maniteja123/issue5715
      Merge pull request #6107 from MechCoder/2016
      Merge pull request #6148 from MechCoder/ridge_cleare
      polish figure
      Merge pull request #6187 from mth4saurabh/update-paper-url
      Merge pull request #6208 from TomDLT/authors-update
      Merge pull request #6213 from dsquareindia/add_profile_link
      Merge pull request #6244 from harrymvr/patch-1
      Merge pull request #6272 from jakevdp/fix6269
      Merge pull request #6296 from pestrickland/master
      Merge pull request #6311 from jakirkham/badge_svg_travis
      Merge pull request #6339 from yenchenlin1994/fix-typo-in-test_ranking
      Merge pull request #6336 from GaelVaroquaux/fix_roc_auc_doc_phrasing
      Merge pull request #6360 from alyssaq/patch
      Merge pull request #6366 from yarikoptic/master
      Merge pull request #6412 from Naereen/patch-3
      Merge pull request #6427 from nelson-liu/fix_svm_doc_citation
      Merge pull request #6442 from radarhere/patch-1
      Merge pull request #6458 from yenchenlin1994/add-doc-for-voting-classifier
      Merge pull request #6469 from ralexx/docstring-typos
      Merge pull request #6481 from maniteja123/logistic-doc
      Merge pull request #6490 from nelson-liu/fix_isolation_forest_docstring
      Merge pull request #6530 from Arafatk/master
      Merge pull request #6531 from gasagna/patch-1
      Merge pull request #6546 from Naereen/patch-1
      Merge pull request #6549 from FlorianWilhelm/ardregression_doc_addition
      Merge pull request #6565 from bryandeng/doc-link
      Merge pull request #6575 from hlin117/logregdocs
      Merge pull request #6608 from tacaswell/doc_knc_docstring
      Merge pull request #6606 from tkamishima/tkamishima_one_hot_encoder_parameter_checking
      misc
      fix test warning
      pep8
      fuse anomaly examples
      cleanup bench script
      misc
      better figsize in iforest bench
      fix pep8
      Update ISSUE_TEMPLATE.md
      pep8
      pep8
      DOC rm obsolete DATASET_PROPOSAL.txt (#7133)
      cosmit
      cosmit
      rephrasing
      update what's new + simplify test
      phrasing

Alexandre Saint (2):
      Fix deprecation warning for 1d matrix input (#7263)
      Fix ConvergenceWarning's in tests

Alvaro Ulloa (1):
      predictions are float but np.bincount can only be used on integers, thus an error comes out when using it

Amlan Kar (1):
      Typo

Andreas Mueller (148):
      Merge pull request #5416 from giorgiop/fix-scaler-refit
      DOC cosmit I find it confusing to say that fit resets the estimator, at it always does that.
      FIX skip LDA deprecation test on python3.3 that has no reload.
      DOC update doc/readme
      Merge pull request #5451 from zermelozf/deprecated-stuff
      Merge pull request #5446 from deepcharles/charles1
      Merge pull request #5456 from aabadie/remove_deprecation_metrics
      Merge pull request #5512 from giorgiop/randomized-svd-versionadded
      refactor mlp optimization methods into _fit_lbfgs and _fit_sgd, add Ctrl+C stop option for SGD
      minor fixes to bench_mnist.
      FIX partial fit test for MLP
      iterate, improve. Nesterov's momentum.
      Merge pull request #5008 from TomDLT/logistic_multiclass
      undo change by @arthurmensch that was probably accidental ;)
      Merge pull request #5517 from lesteve/replace-base-class-method-calls-by-super
      Merge pull request #5506 from RachitKansal/my-work
      Merge pull request #5214 from glennq/mlp_refactoring
      doc fix lates in softmax formula
      Merge pull request #5633 from sieben/list_litteral
      Merge pull request #5632 from sieben/chain_comparaisons
      Merge pull request #5629 from sieben/dict_litteral
      Merge pull request #5566 from rvraghav93/mod_sel_doc
      Merge pull request #5650 from shawpan/fix-user-guide-link-ransac#5621
      Merge pull request #5626 from ogrisel/fix-osx-logistic-class-weights
      DOC polish documentation of output types of train_test_split, add change to 0.16 whatsnew.
      Merge pull request #5659 from ElDeveloper/doc-fix
      Merge pull request #5644 from trevorstephens/export_gviz_32bit_fix
      TST make tsne tests 32bit save
      COSMIT don't use the deprecated residuals property of ols
      TST catch warnings in tests that the solver is changed to SAG in the sparse case.
      TST close /dev/null in the theil sen tests.
      FIX port LDA covariance fix to decomposition module
      FIX we shouldn't warn the user if the solver is auto
      Merge pull request #5661 from amueller/tsne_test_32bit
      Don't use floats to index numpy arrays
      Merge pull request #5673 from amueller/sag_dont_warn_on_auto
      skip unstable tests on 32bit platform
      Merge pull request #5637 from MechCoder/one_hot_enc_doc
      COSMIT missing whitespace in error message
      Merge pull request #5572 from dohmatob/fix-5562
      DOC some fixes to the doc build.
      fix 1 sparse row scaling in robust scaler
      Merge pull request #5688 from amueller/robust_scaler_1column_fix
      FIX don't compare things that can be arrays to strings.
      Merge pull request #5668 from amueller/multioutput_string_comparison
      Merge pull request #5695 from amueller/doc_fixes
      Add missing whatsnew entries for 0.17
      Merge pull request #5708 from amueller/0.17_whatsnew
      Merge pull request #5698 from gclenaghan/fix_5687
      DOC Typo fixes in whatsnew. Thanks @jnothman
      split installation into simple and advanced part
      Merge pull request #5511 from KamalakerDadi/sphinx_version_added
      skip doctests on 32 bits
      Merge pull request #5692 from amueller/skip_32_bit_tests
      Merge pull request #5257 from amueller/installation_instructions
      Merge pull request #5740 from perimosocordiae/patch-2
      DOC fix link to pdf documentation
      Merge pull request #5742 from amueller/pdf_doc_link
      Fix import of reload for python 3.3
      Merge pull request #5846 from hlin117/whatsnew
      Merge pull request #5860 from pwgerman/rbm_doc_hidden_units
      Merge pull request #5885 from sieben/has_key_deprecated
      Merge pull request #5834 from hugobowne/dev_requirement_documentation
      REL add 0.17.0 release to news, fix versions in menu
      Merge pull request #5828 from mth4saurabh/add-mlp-to-changelog
      More doc fixes. Latex builds again.
      Merge pull request #5886 from sieben/with_statement
      website: added NYU funding to front-page footer and the about section.
      Merge pull request #5910 from amueller/nyu_funding
      fix link to contributing in website drop-down
      Merge pull request #5829 from joshuacook/repair_link
      Merge pull request #5890 from amueller/post_release_dev_doc_fixes
      Merge pull request #5925 from lesteve/fix-coveralls
      Merge pull request #5981 from seales/master
      MAINT Don't use deprecated 1d X (or deprecated matplotlib stuff) in examples.
      Merge pull request #5999 from jseabold/doc-fix
      Merge pull request #5706 from shawpan/Fix-#5702-test-warnings-in-ranking
      Merge pull request #6004 from leosartaj/affprop
      Merge pull request #5578 from waterponey/circleCI_push
      HOTFIX skip partial dependence plot so we can run circleci without errors.
      HOTFIX actually fixing the california housing problem
      Merge pull request #6018 from proinsias/provide_argument
      Merge pull request #6034 from alexloginov/patch-2
      install latex required for docbuild on circleci
      DOC add links to some issues in whatsnew
      Merge pull request #6229 from dsquareindia/LabelEncode-error-msg-fix
      Merge pull request #6214 from mth4saurabh/minor-fix-RandomizedLasso-doc
      Merge pull request #6293 from yenchenlin1994/fix-doc-typo-in-binary-tree
      Merge pull request #6292 from yenchenlin1994/fix-error-message-in-check-cv
      Merge pull request #6285 from yenchenlin1994/update-DictVectorizer-doc-about-one-hot-encoding
      Merge pull request #6058 from davidthaler/carousel_fix
      Merge pull request #6294 from rasbt/whats_new_typos
      Merge pull request #5945 from mth4saurabh/improve-mlp-docs
      Merge pull request #6260 from ogrisel/pr-5920-followup
      Add numpy dev wheel to travis build matrix.
      weird work-around for spearman test
      add test for auto increasing
      fix floating point indexing in generic univariate
      make X_stride be np.npy_intp
      Semantics of ``assert_almost_equal`` now consistent on floats and arrays. see https://github.com/numpy/numpy/issues/5200
      add get_feature_names to PolynomialFeatures
      fix PolynomialFeatures.powers_ in python 0.16.1
      don't do ^1
      fixed doc for powers, added test
      Merge pull request #6379 from lesteve/fix-stratified-shuffle-split-train-test-overlap
      Merge pull request #6411 from nelson-liu/create_issue_pr_template
      Merge pull request #5699 from bhargav/mlp-test-warning
      don't import train_test_split from deprecated cross_validation module in mlp
      Merge pull request #6503 from rhiever/patch-1
      ENH added elkan k_means algorithm
      add booking.com testimonial
      add badge for doi into readme (#6672)
      Merge pull request #6677 from MechCoder/remove_checks_sparse
      make Parallel be one less verbose in LDA (#6772)
      DOC add betaworks testimonial (#6825)
      Merge pull request #6966 from doshyt/doc-update-confusion
      DOCS / COSMIT duplicate word typos
      add __dir__ to bunch for better autocomplete (#7090)
      add missing verb in whatsnew
      fix error in boolean mask usage in GaussianNB. (#7258)
      TST remove print statement in gmm test, remove verbosity in mlp test.
      fix some warnings in test outputs.
      gitter is not for issues
      make more explicit which checks are run
      pep8
      fix warning and behavior in randomized_svd wrt power iterations
      change default iterated_power to auto.
      @ogrisel's suggestions
      [MRG + 2] remove complicated equality checks in clone as __init__ shouldn't touch anything. (#5540)
      DOC minor doc fixes for sphinx. (#7357)
      change installation description to not discourage people from installing scipy or numpy with pip. (#7313)
      [MRG+1] fix sampling in stratified shuffle split (#6472)
      [MRG] add warning when importing old or new pickle. (#7248)
      link to scikit-learn tag on stackoverflow, minor formatting.
      COSMIT don't use docstrings in tests (gp kernel tests) (#7399)
      make pickle version test more stable (#7415)
      clean up deprecation warning stuff in common tests
      added contributors for 0.18, minor formatting fixes.
      [MRG+2] Timing and training score in GridSearchCV (#7325)
      REL changes for release in 0.18.X branch (#7414)
      no fixed width within bold
      DOC Attempt to impose some order on What's New 0.18
      fix rebase messup
      fix scoring function table
      minor fixes to whatsnew
      fix lbfgs rename (#7503)
      minor doc fixes
      [MRG + 1] More versionadded everywhere! (#7403)

Andrew Jackson (1):
      [MRG+1] DOC Modified the navbar menu to be responsive with mobile. (#7098)

Andrew McCulloh (3):
      Change super call to pass presort value to super
      The presort parameter is never acutally used
      Merge branch 'master' of github.com:scikit-learn/scikit-learn into gradientboost

Andrew Murray (1):
      Fixed typo

Anish Shah (1):
      inverse_transformation for NMF decomposition

Arafat (1):
      Correcting Typo

Archit Sharma (1):
      fixes #6829 - user guide links to DiscriminantAnalysis (#6838)

Ariel Rokem (1):
      Typo in `plot_cv example`

Arnaud Joly (25):
      Implement decision path in tree
      DOC add an example highlighting the tree structure
      take glouppe comment
      DOC make visualizatoin aware of the tree depth
      ENH rename decision_paths to decision_path
      Add an hardcoded test
      typo
      Add a decision_path function to forest estimator
      Take into account glouppe comments
      Take into account amueller comments
      wording
      Rename since we don't plot anything
      Take into account ngoix comment
      Merge pull request #5541 from johannah/module-classification-colorblind
      Merge pull request #5537 from johannah/module-linear-colorblind
      FIX serialization bug in the implementation of the pickle protocol
      ENH don't unpickle capacity, but infer it
      Raise appropriate error if y is sparse
      Update what's new
      Merge pull request #5546 from johannah/module-svm-colorblind
      Merge pull request #5573 from johannah/module-model-colorblind
      Update what's new
      Merge pull request #5531 from arjoly/float-min_samples
      Merge pull request #5665 from amueller/no_deprecated_residuals
      Merge pull request #5654 from sieben/simplify_chain_comparaisons

Arnaud Rachez (2):
      MAINT Removed deprecated stuff.
      Addressed comments on PR #5451

Arthur Mensch (3):
      Fix fit_transform, stability issue and scale issue in PLS
      C file removal + cython build + Travis build cache
      Add subpackage _build_utils

Ash Hoover (1):
      ENH: classification_report format supports long string labels

Behzad Tabibian (8):
      removing confusing comment (#7007)
      fixing ElasticNet sparse decision function to match output with dense output
      test case for ElasticNet multiple output matching with dense
      pushing Transpose into dot product
      removing make_sparse_data call
      removing extra fit call and cleanup code
      droping extra y
      fixing alignment

Bernardo Vecchia Stein (1):
      Added sample weight support to confusion matrix.

Bernhard Kratzwald (1):
      DOC - improved doc on ridges alpha parameter (#6844)

Bhargav Mangipudi (3):
      DOC - neural network module only links to unsupervised, not supervised docs
      DOC - Minor documentation fixes - Fixes #5770 and #5761
      Fix MLP batch_size test warning for default value

Boyuan Deng (1):
      Fix broken link in ABOUT

Brandon Carter (4):
      fix typo in comment of hierarchical clustering (#6912)
      fix issues with manifold tests throwing pep8 errors (#7209)
      [MRG] Fix TSNE init as NumPy array (#7208)
      [DOC] add release dates for each version on whats_new page (#7225)

Brett Naul (1):
      Properly handle bounds in isotonic regression with `np.clip` (#6949)

Brian McFee (1):
      Implemented keyword arguments in FunctionTransformer

CJ Carey (2):
      BUG: use pre-parsed scipy version
      avoid creating a diagonal matrix (#6989)

Caio Oliveira (1):
      [MRG+1] Fix for "_transform_selected" not copying when "selected='all'" (#7201)

Camilo Lamus (5):
      FIX: improve docs of randomized lasso
      Fix consistency in docs and docstring
      Added ref to Bach and improved docs
      Try to fix link to pdf
      fix x and y order

Carol Willing (2):
      Edit CONTRIBUTING doc (#7017)
      Reorganize README

Cass (1):
      Update decomposition.rst

CeShine Lee (1):
      DOC Correction: max_depth is effective when max_leaf_nodes is not None (#7183)

Charles Truong (1):
      Fixed the docstring (issue #5313)

Chyi-Kwei Yau (1):
      fix joblib error in LatentDirichletAllocation

Colin Ni (1):
      [DOC] Added return values to _intercept_dot docstring in linear.logistic

Dan Shiebler (1):
      removed the doc line 'Only applies if analyzer == 'word'' from CountVectorizer analyzer'

Daniel (1):
      Replace print statement in fastica() with warning (#6807)

Daniel Hnyk (2):
      importing VotingClassifier in the example
      Sync docstring and definition default argument in kneighbors (#7476)

David Ellis (1):
      Update plot_roc_crossval.py (#6765)

David Nicholson (1):
      typofix in modules/grid_search.rst (#7045)

David Staub (3):
      Updated docstring for bootstrap argument of IsolationForest (#7095)
      [MR] Speed issues in sample_without_replacement - bugfix (#7104)
      [MRG] Remove heavy memory footprint in BaseBagging due to OOB scoring (#7118)

David Thaler (2):
      FIX Changed zorder so support vectors are clearly visible
      FIX #5485 Replaced missing plot_gp_regression with plot_gpr_co2 in carousel.

David Warshaw (1):
      Removed redundant Classification metrics entry: metrics.brier_score_loss.

Davide Lasagna (1):
      change "lasso_path" to use "return_n_iter" argument

Deborah (1):
      [MRG+1] Deprecated GMM functions (#7012)

Didi Bar-Zev (1):
      ENH TfidfTransformer.transform() performance bug fix (#7125)

Elias Kuthe (1):
      typing mistake

Elvis DOHMATOB (5):
      ENH: fixes issue #5484
      BF: FIX OvR decision_function_shape in SVC
      DOC: added <what's new> entry regarding BF
      REFACTOR: fixed huge code duplication in _RidgeGCV
      DOC+ENH: RidgeClassifier doesn not support multi-label

Ethan White (1):
      Improve wording for best choice of calibration method

Fabian Pedregosa (1):
      Update my website on whats_new.rst

Fabio Ticconi (3):
      Fixed transformation of test set via RobustScaler in plot_robust_scaling.py
      adding missing 0.16 doc link and removing broken support links
      adding 0.17 support link

Florian Wilhelm (2):
      Added additional references for ARDRegression
      DOC: Fix order in ARD references

Francis O'Donovan (1):
      DOC Add missing parameter defaults for Naive Bayes classes

Francis T. O'Donovan (4):
      Provide 'self' argument to instance method
      Fix minor typo in grid_search.py
      DOC Add missing parameter defaults for some ensembles
      Fix doc refs to StratifiedKFold and KFold (#6936)

Gael Varoquaux (71):
      MAINT: remove unused import
      Merge pull request #5440 from giorgiop/scaler-deprecation
      Merge pull request #4995 from yanlend/patch-1
      Merge pull request #5454 from GaelVaroquaux/test_branch
      Merge pull request #5443 from AlexandreAbraham/optimize_graph_is_connected
      Merge pull request #5458 from glouppe/labelkfold-withoutshuffle
      Merge pull request #5452 from MaryanMorel/issue_5313
      Merge pull request #5445 from tomMoral/devTom
      Merge pull request #4826 from rvraghav93/exceptions
      Merge pull request #5431 from hlin117/nan-targets
      Merge pull request #5012 from yanlend/patch-2
      Merge pull request #5467 from tomMoral/travis-ci
      Merge pull request #5579 from rvraghav93/inspect_fix
      Merge pull request #5590 from glouppe/param-sampler-rng
      Merge pull request #5636 from TomDLT/appveyor_logistic
      Merge pull request #5652 from sieben/trailing_semicolon
      Merge pull request #5658 from amueller/train_test_split_conserves_type_doc
      Merge pull request #5682 from trevorstephens/OneHotEncoder_warn_fix
      Merge pull request #5684 from amueller/deprecated_float_indexing_rfe
      Merge pull request #5680 from amueller/lda_fix_refactoring
      Merge pull request #5727 from Naereen/patch-2
      Merge pull request #5801 from hlin117/pca-plotting
      Merge pull request #5791 from MechCoder/scale_csc
      Merge pull request #5819 from hlin117/pca-docs
      Merge pull request #5771 from bhargav/minor-doc-fixes
      Merge pull request #5728 from amueller/more_doc_fixes
      Merge pull request #5896 from fayeshine/fayeshine-patch-1
      DOC: Comment better the importance of the mask
      Merge pull request #5936 from olologin/MultiLabelBinarizer_check_is_fitted
      Merge pull request #6108 from chezou/chezou-patch-1
      Merge pull request #6005 from seales/SpellingFix
      Merge pull request #6087 from kaichogami/binary_partial_fit
      COSMIT: whitespace
      Merge pull request #5219 from scikit-learn/authors-update
      Merge pull request #6151 from MechCoder/silhouette_score_refactor
      TST: More tests for Ledoit-Wolf
      Merge pull request #6227 from strixcuriosus/classification-report-format
      Merge pull request #6225 from ogrisel/fix-6147-scoring-memmap
      Merge pull request #6152 from halwai/faq
      DOC: incorrect phrasing of inputs to roc
      Merge pull request #6125 from AnishShah/issue6118
      Merge pull request #6354 from rgommers/fix-build-error
      Merge pull request #6343 from lesteve/fix-tsne-memory-leak
      Merge pull request #6391 from yenchenlin1994/remove-redundant-assignment-in-test-locally-linear
      Merge pull request #6396 from nelson-liu/reorganize_build_files
      Merge pull request #6349 from yenchenlin1994/remove-redundant-shuffle-assignment
      Merge pull request #6426 from yenchenlin1994/remove-redundant-typo
      Merge pull request #6543 from ohld/update-footer-year
      Merge pull request #6705 from mathcass/decomposition_typo
      Merge pull request #6790 from arokem/patch-1
      Merge pull request #6274 from jakevdp/setup_py_fix
      Merge pull request #6613 from nelson-liu/correct_license_spelling
      Merge pull request #6908 from HashCode55/master
      Merge pull request #6900 from fishcorn/fishcorn-patch-1
      TST: Speed up: cv=2
      Merge pull request #6946 from proinsias/proinsias-doc-nb
      Merge pull request #6979 from ClimbsRocks/patch-8
      Merge pull request #7064 from Erotemic/quickfix_py2_libsvm_kernel_unicode
      Merge pull request #7119 from jrfiedler/remove-unused-imports
      Merge pull request #4658 from Titan-C/sphx-glr
      Contributing statement (#7097)
      Merge pull request #7165 from tKammy/fixed_typo
      Merge pull request #7172 from jasonlaska/patch-1
      Merge pull request #7143 from iver56/patch-1
      Merge pull request #7199 from nelson-liu/edit_cv_sparse_docs
      Merge pull request #7213 from zhengruifeng/doc_fix
      Merge pull request #7217 from ClimbsRocks/patch-9
      MAINT/DOC: pngmath deprecated for sphinx >= 1.4 (#7279)
      Merge pull request #7261 from betatim/negative-scorers
      ENH: display the original exception (#5906)
      ENH: display the original exception (#5906)

Ganiev Ibraim (5):
      Fix of issue #5601
      check_is_fitted validation for transform() and inverse_transform()
      It's better to fix a comment
      [MRG] fix #5269:  Overflow error with sklearn.datasets.load_svmlight (#7101)
      [MRG+2] parallelized VotingClassifier and sample_weight support (#5805)

Gilles Louppe (49):
      Merge pull request #5423 from MechCoder/example_fix
      Merge pull request #5375 from rvraghav93/set_precision
      FIX: remove shuffling in LabelKFold
      Merge pull request #5466 from glouppe/gp_new
      DOC: added entry for new GP implementation
      doc: fix typo
      FIX: gaussian_process will be deprecated in 0.19, not 0.18
      Merge pull request #5438 from aabadie/datasets_doc
      Merge pull request #5494 from dohmatob/minor-issues
      FIX: GaussianProcess will be deprecated in 0.20, not 0.19
      Merge pull request #5469 from rvraghav93/zero_gamma
      Merge pull request #5543 from ltiao/patch-1
      DOC: fix what's new alignment
      Merge pull request #5582 from gclenaghan/remove_balanced_weights
      Merge pull request #5587 from jnothman/model_selection-whatsnew
      Merge pull request #4163 from ngoix/iforest
      doc: added entry for isolation forest
      Merge pull request #5552 from johannah/module-tree-colorblind
      Merge pull request #5556 from johannah/module-feature-colorblind
      Merge pull request #5575 from johannah/module-other-colorblind
      FIX: pass random_state to parameter distributions
      Merge pull request #5591 from antialias/master
      Merge pull request #5592 from antialias/correct-typo
      Merge pull request #5607 from giorgiop/doc-broken-links
      Merge pull request #5645 from sieben/useless_pass
      Merge pull request #5646 from mscherer/fix_doc
      Merge pull request #5667 from amueller/theilsen_test_closes_dev_null
      Merge pull request #5700 from bhargav/neural-network-documentation
      Merge pull request #5731 from ClimbsRocks/patch-2
      Merge pull request #5714 from rvraghav93/learning_curve_doc
      DOC: fix what's new alignment
      Merge pull request #5678 from betatim/no-warning-iforest
      Merge pull request #5806 from vighneshbirodkar/nmf_fix
      Merge pull request #5802 from alvarouc/master
      Merge pull request #5858 from mcculloh/gradientboost
      Merge pull request #6111 from betatim/base-not-a-list
      Merge pull request #5880 from jakevdp/spectral-doc
      Merge pull request #5675 from AlexanderFabisch/gmm_clustering
      Merge pull request #5863 from trevorstephens/cw_util_fix
      Merge pull request #5872 from lucasdavid/parallel-nn-in-isomap
      Merge pull request #6362 from hlin117/dummy
      Merge pull request #6542 from ohld/make_scorer-link
      Merge pull request #6498 from clamus/rand-lasso-fix-6493
      Merge pull request #6466 from lesteve/nose-ignore-files-tweak
      Merge pull request #6638 from braunmagrin/patch-1
      Merge pull request #6935 from proinsias/proinsias-gs-typo
      Merge pull request #6944 from proinsias/proinsias-rfc-doc-defaults
      Merge pull request #6982 from fisache/master
      Merge pull request #7062 from neo01124/master

Giorgio Patrini (19):
      BUG: reset internal state of scaler before fitting
      MAINT: deprecation warns from StandardScaler std_
      randomized_svd: power iter, normalization, benchmark
      DOC versionadded randomized_svd
      DOC: only 'sag' supports sparse input in Ridge now
      DOC: broken links
      tests sample_weights linearreg, ridge
      nose-timer added to CI
      MAINT speed up test_gpc
      MAINT speed up test_gpr
      MAINT speed up test_kernels
      MAINT speed up test_extmath
      MAINT speed up test_coordinate_descent
      MAINT speed up tests in test_neighbors
      MAINT speed up test_split
      Limit the number of thread and force install libgfortran
      MAINT depr of center_data, normalize in linear_model
      ENH RandomizedPCA collapsed into PCA
      Update Python version in README

Giovanni Cherubin (1):
      Kullback-Leibler divergence as a parameter of TSNE

Giovanni Lanzani (1):
      Add a check whether stripping accents is needed (#6805)

Glenn Qian (2):
      fix log_loss for multiclass case and add binary_log_loss for multilabel case
      Finish up mlp_refactoring and squash previous commits

Gordon Mohr (1):
      [MRG+1] test against single-class y_true values for #6980 (#6987)

Graham Clenaghan (2):
      remove _balance_weights
      Ensure that n_nonzero_coefs is an int

Greg Reda (1):
      fix math in soft VotingClassifier example

Greg Stupp (1):
      use sparse contingency matrix for supervised cluster metrics

Guillaume Lemaitre (1):
      Add the possibility to add prior to Gaussian Naive Bayes

Gustav Mörtberg (1):
      [MRG] Fixed issue #6635: incorrect docstring for Birch

Harizo Rajaona (3):
      Proper fix for issue #5694: added [RW2006]'s corresponding reference with link to the book's website and PDF version available online.
      Reduced nb of characters per line.
      Reduced size of line 167.

Harry Mavroforakis (1):
      Fixes make_sparse_spd_matrix documentation

Henry Lin (35):
      #5322: Wrote check_supervised_y_no_nan in estimator_checks
      Resolving rebase conflicts on forest.py
      #5322: Added check for DecisionTreeRegressor
      #5322: Resolving errors for SVR and NuSVR
      #5322: Fixed build for tree failures, fixing estimator_checks.check_estimator
      #5322: Added check for MultiTaskElasticNet and MultiTaskLasso
      #5322: Resolving Random Forest build errors (bad input shape)
      #5322: Fixing the fix - now RFs should be okay
      #5322: Fixing test in test_estimator_checks.test_check_estimator
      #5322: check_supervised_y_no_nan raises error when error message is incorrect
      #5322: Fixed python3 build
      #5322: Regression test for test_check_estimator
      #5322: Made error message in check_supervised_y_no_nan more helpful
      #5322: Making check_supervised_y_no_nan deterministic
      #5322: Addressing @MechCoder's changes
      #5322: Removing unused ConvergenceWarning import in svm/base.py
      Added documentation about y nan handling in check_X_y
      #5322: Changed check_supervised_y_no_nan to not seed global
      #5322: Using multioutput_estimator_convert_y_2d in check_supervised_y_no_nan
      #5322: Small change to estimator_check.py
      #5766: Removed unused code from plotting tutorial
      #5751: Adding explained_variance_ and clarification about components_ to docstring
      #5840: Adding my name to one of the bug fixes
      Adding email to the mailmap
      LDA: explained_variance_ratio_ can be found using svd solver
      Added default gamma info for laplacian_kernel and rbf_kernel
      Added more gamma info for sigmoid, polynomial kernels
      Changed orders of docstring descriptions for polynomial_kernel
      \#6001: Adding LogisticRegression's default param for 'solver'
      DummyClassifier: Added doc information about default strategy
      Fixing typos in logistic regression docs
      Merge PR #6037: copy_X in KernelPCA
      Fixed minor typo in multitasklasso docs
      and related minor documentation fixes
      [MRG + 1] DOC Default parameter info for KernelPCA (#6035)

Hobson Lane (4):
      fix regressor var name
      clf = Perceptron
      make it clear that linear_model.Perceptron is a classifier
      colon

Hugo Bowne-Anderson (8):
      added cython to requirements in documentation
      edited cython to requirements in documentation
      edited cython requirement in README making obvious that it is for dev
      Merge branch 'dev_requirement_documentation' of https://github.com/hugobowne/scikit-learn into dev_requirement_documentation
      edited bleeding edge install instructions to include cython
      Update README.rst
      Update advanced_installation.rst
      added MultiOneVsRest classifier & testing suite

Igor Andriushchenko (6):
      DOC make confusion_matrix_plot.py exmaple more copy-pastable
      DOC update refs for MiniBatchKmeans
      DOC fix MiniBatchKmeans See Also and colon
      DOC harmonize KMeans docstring with doc standards
      DOC fix typo in KMeans docstring
      [MRG] Add Deprecation Warning to address making "batch" the default learning method in LDA in 0.19 release (#6999)

Imaculate (3):
      Added sample_weight parameter to ransac.fit
      [MRG+1] Added support for sample_weight in linearSVR, including tests and documentation. Fixes #6862 (#6907)
      [MRG] Added sample weight parameter to LinearSVC.fit (#6939)

Inki Hwang (1):
      Fix minor typo in doc (#7001)

Isaac Sijaranamual (1):
      Fixes the link to Bawa et al., "LSH Forest: Self-Tuning Indexes for Similarity Search", WWW'05 in the Nearest Neighbor section.

Ishank Gulati (1):
      as_float_array removed

Issam Laradji (1):
      (WIP) Added Multi-layer perceptron (MLP)

Iver Jordal (1):
      Fix typo in example feature_stacker.py

JPFrancoia (3):
      Added 4 spaces to conform to PEP8.
      Modified the length of the slice: now uses a variable, not a hardcoded
      Modified the What's new file to mention the bug fix about the wrong

Jacob Schreiber (1):
      ENH add pomegranate to related

Jake VanderPlas (14):
      MAINT: use xrange from six
      MAINT: remove unused code from TSNE
      DOC: clarify terms in documentation of Spectral Clustering
      DOC: further clarify spectral clustering doc
      BUG: fix initialization in Isomap to work correctly with GridSearch
      BUG: fix pickling of DistanceMetric instances (fixes #6269(
      Merge pull request #6393 from yenchenlin1994/add-test-for-local-linear-embedding
      Merge pull request #6447 from MechCoder/whiten_pca
      Merge pull request #6372 from amueller/poly_feature_names
      Merge pull request #6453 from yenchenlin1994/fix-its-typo
      MAINT: re-organize setup.py & make sure all tests are discoverable by nose
      MAINT: fix setup for metrics/cluster
      TST: fix relative import in model_selection tests
      TST: make model_selection test an absolute import

James Fiedler (1):
      Removed unused imports

James Routley (1):
      Fixing typo (#7402)

Jan Hendrik Metzen (165):
      ADD New kernel module for GPs which supports kernel engineering
      ADD New implementation of GaussianProcessRegression
      ADD Gaussian Process classification based on Laplace approximation
      TST Tests for GP regression and classification
      ADD Examples for GP classification
      ADD Examples for GP regression
      FIX cross_correlation of anisotropic RBF kernel computed correctly
      FIX Fix some bugs in kernel module discovered during writing unit test
      TST Test for GP kernels
      REFACTOR auto_correlation() -> auto(), cross_correlation() -> cross()
      DOC GP's kernel module documented
      DOC Revised GP examples (added doc etc.)
      ENH GPR.predict allows returning standard-deviations of predictions
      DOC Revised examples based on @eickenberg's comments
      MISC Revised gaussian_process package based on @eickenberg's suggestions
      TST Dealing with failing tests from test_common
      REFACTOR Merging kernel methods auto() and cross() in __call__()
      ENH Adding PairwiseKernel for GPs (wraps kernels from metrics.pairwise)
      REFACTOR GaussianProcessClassification/Regression -> ...Classifier/Regressor
      ENH More efficient approximation of gradient in PairwiseKernel
      ENH Avoid to create square matrix W_sr in all but one place (TODO)
      ENH Adding RationalQuadratic and ExpSineSquared kernels
      FIX Dealing with singular kernel matrix (-inf log-marginal-likelihood)
      ENH Adding DotProduct kernel and fixing ExpSine2 kernel
      DOC Initial version of Mauna Loa CO2 example
      REFACTOR Hyperparameter optimization in GPs enabled explicitly by optimizer parameter
      DOC Revising CO2 example
      TST Cover more kernels in tests
      ENH Analytic gradients for ExpSine2, RationalQuadratic, DotProduct kernels
      DOC Extended documentation of GP kernels module
      MISC Reorganizing kernel module
      ENH Adding method is_stationary to GP kernels
      TST Testing kernel stationarity
      DOC Illustrating different kernels in plot_gpr_prior_posterior.py
      FIX test_converged_to_local_maximum deals with convergence to boundary
      ENH More efficient computation of lml-gradient in GPR using einsum
      FIX GPs do not modify kernel attribute but store optimized kernels in kernel_
      REFACTOR GP kernels use separate specification of bounds and params (no joint param_space)
      REFACTOR REnamed kernel property params to theta
      ENH Kernel implements equality check and get_params() method
      TST Tests for cloning kernels with sklearn.base's clone function
      REFACTOR Replacing all calls to deepcopy() by clone()
      TST Replace call to deepcopy() by clone()
      ENH Added Exponentiation kernel (DotProduct no longer has internal degree)
      TST test_kernels tests Exponentiation kernel
      FIX Using numpy-downward compatible ones_lile() instead of full_like()
      DOC Reorganizing gaussian_process examples
      FIX Minor bugfixes and downward-compatibility/python3 issue
      REFACTOR Rename GPR method sample to sample_y
      REFACTOR Compute standard deviation of predictive distribution at n points in O(n)
      FIX GPC uses LabelEncoder in fit() and returns (n_samples, n_classes) array in predict_proba()
      FIX Adapted examples and tests to GPC.predict_proba() adapted return shape
      FIX GaussianProcessRegressor inherits from RegressorMixin
      ENH Reducing memory-consumption of GPC.predict_proba()
      FIX Numpy downward-compatible way of computing sum over two axis
      ENH GPC can use warm-starts in _posterior_mode()
      ENH Adding diag(X) method to GP kernels.
      DOC Adding GPC to plot_classifier_comparison.py script and enabling warm_start
      DOC gpr module fully documented
      DOC gpc module fully documented
      REFACTOR Kernel hyperparamters are now set via their name
      TST Adapted tests to changes in kernels and added additional test for theta property
      DOC Adapted GP examples to changes in kernel module
      FIX Kernel property theta can deal with anisotropic RBF kernel
      FIX Dealing with anisotropic length-scales correctly
      DOC Revised docstrings of kernels.py
      REFACTOR Removed literal form of specifying bounds for ConstantKernel
      REFACTOR Changed order of l and alpha in RationalQuadratic kernel
      ENH GPR can use individual noise-levels for each datapoint
      ENH GaussianProcessRegressor supports multiple restarts of the optimizer
      TST An increasing number of random-starts of GPR only increases the LML of the chosen theta.
      DOC Adapted old example of fitting with noisy targets to new GPR class
      ENH GaussianProcessClassifier supports multiple restarts of the optimizer
      TST An increasing number of random-starts of GPC only increases the LML of the chosen theta.
      FIX Fetching CO2 data from mldata
      FIX GP kernels check for type equality before checking attribute equality
      FIX cross_validation and pairwise_kernels treat GP kernels as special case
      DOC Adding example comparing kernel ridge with GPR.
      DOC Revised plot_gpc example
      DOC Adding documentation for GP kernels
      DOC Documentation of the CO2 example
      DOC Backported documentation to kernels module
      DOC Extending further the GP documentation
      ENH GPR supports normalization of target values
      TST Testing normalization of output values in GPR
      ENH GPR supports target value with more than one dimension
      TST Testing multi-out GPR
      FIX Not performing hyperparamter-tuning in GPR if there are no hyperparameters
      ENH GPR can use an externally defined optimizer for hyperparameter tuning
      TST Testing GPR with custom external optimizer
      REFACTOR GP kernel hyperparameters theta and their bounds are log-tranformed
      TST Adapting GP tests to changed hyperparameter representation
      DOCAdapting GP examples to changed hyperparameter representation
      REFACTOR Remove theta_ attribute from GPR and GPC
      ENH GPC can use an externally defined optimizer for hyperparameter tuning
      TST Testing GPC with custom external optimizer
      REFACTOR normalize_y in GPR does not modify standard-deviation
      FIX Sampling theta_intial uniformly from log-bounds in GPR
      FIX Correcly composing theta vector in GP kernels
      FIX Ensuring that predicted variances are never negative
      ENH Adding Matern kernel for Gaussian Processes
      DOC Adding documentation on Matern kernel
      TST Added test checking that GPR can deal with different outputs for same input
      FIX Checking for correct dimensionality of anisotropic kernels
      FIX RBF and Matern kernel handle 1d length 1 length-scales correctly
      DOC Added further doc for GPC
      ADD CompoundKernel for multi-class GP classification
      FIX GPR's random_state is cloned correctly
      ENH Support for multi-class GPC added based on OneVsRestClassifier
      DOC Adding GPC to plot_classification_probability.py example
      TST Testing GPC for multi-class classification problems
      FIX Several minor changes/fixes in gaussian_process module
      FIX Using six.string_types instead of basestring (python3 compatibility)
      FIX Excluding WhiteKernel from one unit-test
      TST Extending testing of multi-class GP
      DOC Updated documentation of Gaussian process classifier
      ADD Example illustrating Gaussian process classifier on iris dataset
      TST Fixing some GP-releated issues in estimator checks
      TST Fix GPC and GPR such that all tests are ok
      TST Further GP-related fixes
      FIX Hiding method decision_function in GaussianProcessClassifier
      TST GaussianProcessRegressor added to MULTI_OUTPUT estimators
      PEP8 Fixing PEP8 issues in gaussian_process package
      ENH X_train_ can be copied if requested
      ENH Adding max_iter parameter for Newton iteration in GPC
      COS Removing keyword magic from PairwiseKernel
      FIX Added missing import of ConstantKernel in gpc.py
      TST Excluded GPC from test_non_transformer_estimators_n_iter()
      MISC Deprecating legacy GP implementation
      COS Making BinaryGaussianProcessClassifierLaplace private
      DOC Cleaning up documenation of legacy GPs
      DOC Updating GPC XOR example (showing also results for DotProduct kernel)
      FIX Remove BinaryGaussianProcessClassifierLaplace from packages __all__ list
      FIX Undoing regression_model and correlation_model  deprecation
      TST Testing n_jobs option of GaussianProcessClassifier
      REF Realizing multi-class GPC bei delegating to OneVsRest or OneVsOne
      DOC Updating documentation of multi-class GPC
      REF Several small changes based on @eickenberg's suggestions
      ENH More efficient computation of K_gradient for anisotropic Matern kernel
      REF Renaming sigma_squared_n to alpha (consistency with Ridge)
      ENH Full support of (deep) get_params() and set_params() in GP kernels
      DOC Revising GP documentation based on @kastnerkyle comments
      FIX theta_vars correctly supported in KernelOperators
      TST Adding two unittests for testing GP kernels
      REF Removing theta_vars attribute from kernels and using Hyperparameter instances instead
      DEL Removing bounds.setter in kernels.py
      REF Renaming max_iter to max_iter_predict in GaussianProcessClassifier
      DOC Documenting GP kernel API
      DOC Fixing some minor issues in narrative doc of GPs
      FIX Fix failing tests (doctest, order of hyperparameters,  pairwise_kernels)
      FIX python3 compatibility in doctest
      FIX Fixing test_kernel_theta
      FIX Further python3 related fixes
      FIX Fixing a python2.6-related issue
      FIX Changing bounds in GP doctest
      MISC copy_X_train defaults to True in GPR and GPC
      FIX Fix message of ValueError for wrong shape of alpha in GPR
      PEP8 Making pep8 and pyflakes happy
      REF More meaningful names for hyperparameters of GP kernels
      MISC Changing default for copy_X_train to True in GaussianProcessClassifier
      FIX String comparison via equality and not identity in Hyperparameter.__init__
      ENH GPR.log_marginal_likelihood() returns the current log-likelihood if no theta vector is provided
      FIX Enforcing y to be numeric in GPR and fixing python3 issue with maps
      ADD Mixins for normalized and stationary kernels
      TST test_lml_precomputed() checks only for equality in first 7 digits

Janna Brettingen (1):
      [MRG + 1] docs: Change example of KDTree to prevent DeprecationWarning (#6962)

Jason Laska (2):
      Add spherecluster related package
      Address reviewer comments

Jeffrey Blackburne (1):
      Fixed unit test in sklearn/tree/tests/test_tree.py.

Jeffrey04 (7):
      the test to reflect issue #5433
      code fix for issue #5433
      updated test with tips from @giorgiop
      fixing MaxAbsScaler according to MinMaxScaler
      add test for inverse_transform
      add fix for inverse transform
      remove test for self.scale_

Jeremy Hintz (1):
      updating changelog links on homepage (#6901)

Jeroen Van Goey (1):
      Update plots_digits_classification.py

Jessica Yung (1):
      DOC Typo: consequective -> consecutive (#7171)

Jill-Jênn Vie (1):
      TYPO Update decomposition.rst (#6803)

Jimmy Jia (1):
      BLD: Add 'alldeps' extra for installing with pip (#6990)

Jiyuan Qian (1):
      MLP bug fixes with random state and loss, removed decision_function, and added test

Joel Nothman (66):
      DOC update AUTHORS.rst to better reflect team
      DOC describe constitution of AUTHORS.rst list
      DOC sort AUTHORS.rst by surname
      DOC clearer what's new for model_selection
      Merge pull request #5749 from ethanwhite/calibration-wording
      Merge pull request #6088 from duboism/solve6078
      Merge pull request #6157 from lesteve/fix-faq-link
      Merge pull request #5425 from amueller/update_doc_readme
      ENH use n_jobs in brute-force radius_neighbors
      Merge pull request #6404 from dsquareindia/dbscan_doc_enh
      Merge pull request #6566 from practicalswift/fix-nameerror-and-remove-unused-variable-in-multiclass
      Merge pull request #6539 from yenchenlin1994/use-fused-type-in-inplace-normalize
      Merge pull request #6653 from davidwarshaw/doc-remove-redundant-brier_score_loss
      Merge pull request #6658 from ClimbsRocks/patch-5
      Merge pull request #6607 from maniteja123/imputer_indicator
      Merge pull request #6682 from hlin117/multilasso
      Merge pull request #6698 from ixjlyons/fix-neighbor-docs
      Merge pull request #6707 from saiwing-yeung/my-fixes
      Merge pull request #6671 from zivori/model_seclection._validation.cross_val_predict_apply_func
      COSMIT better test name
      Merge pull request #6770 from nelson-liu/fix_check_array_typo
      Merge pull request #6760 from maniteja123/average_precision
      Merge pull request #6755 from hnykda/hnykda-fix-votingclassifier-example
      FIX bug where expected_mutual_information may miscalculate
      Merge pull request #6724 from jnothman/emi_bug
      DOC minor whats_new tweaks
      ENH remove excessive verbosity when no parameters set for CV
      Merge pull request #6610 from jeff1evesque/feature-6609
      Merge pull request #6817 from TomDLT/logistic_class_weight
      Merge pull request #6785 from yenchenlin1994/make-csr_row_norms-support-fused-types
      Merge pull request #6801 from jnothman/noparams
      Merge pull request #6850 from kmike/class_weight_error
      [MRG+1] FIX support memmap scalars as CV scores (#6789)
      Merge pull request #6853 from krishnakalyan3/class_weight_balance
      DOC insert missing function description
      DOC fix broken image path
      PEP8
      TST ensure tests are importable
      DOC If git is not installed, need to catch OSError
      DOC add what's new for clone fix
      TST avoid imports from deprecated module
      DOC what's new entries for LinearSVR/C weight support
      DOC fix misconception in DBSCAN documentation
      DOC revert removal of duplicate word in doctest
      [MRG + 1] ENH show no warning with chi2 of empty feature (#6978)
      DOC fix Olivier's misspelt name
      DOC improve formatting for learning_rate docstrings
      [MRG] ENH enable setting pipeline components as parameters (#1769)
      Revert "ENH: Add indicator features to imputer output (#6607)" (#7292)
      ENH/MAINT/TST Complete deprecation of default average in P/R/F metrics
      PEP8
      Move comment on relationship between labels and pos_label to docstring
      DOC fix code formatting
      DOC move changelog heading to correct place
      TST fix test to match altered deprecation msg
      FIX Revert unintentionally committed code
      [MRG + 1] FIX use high precision cumsum and check it is stable enough (#7331)
      DOC mention true positives etc in confusion matrix docs (#7392)
      Fix #6994: MLP partial_fit with unseen classes (#7358)
      TST fix generated test names in case where test fails
      TST move test naming and use inspect
      Make named_check private
      ENH raise error when scoring=sklearn.metrics.{classification,ranking,...}.*
      [MRG+1] Fix regression in silhouette_score for clusters of size 1 (#7438)
      [MRG+2] FIX adaboost estimators not randomising correctly (#7411)
      DOC more what's new subdivision

John B Nelson (1):
      Add missing double quote (#6831)

John Boersma (10):
      Test edit.
      Removing test edit.
      Moved Multi-task Lasso to immediately follow Lasso
      Edits to intro paragraph of Multi-task Elastic net.
      Edits to math paragraph, added reference to MultiTaskElasticNetCV.
      Corrected reference to "lasso" to "ElasticNet".
      Correct for Frobenius norm
      Corrected {}
      Corrected MultiTaskLasso objective function and moved some related definitions there
      Fixed typos: whitespace after '.', `` around inline code.

John Kirkham (1):
      DOC: Use SVG badge for Travis CI. [ci skip]

John Moeller (4):
      Make KernelCenterer a _pairwise operation
      Adding test for PR #6900
      Simplifying imports and test
      pep8

Jordi (1):
      [MRG] Disabled randomized_svd warning when number of iterations is not specified #6746 (#6749)

Joseph Munoz (1):
      Fixed typo in one word.

Joshua Cook (1):
      repaired dead link

JulianKahnert (1):
      fix of typo (#7137)

KamalakerDadi (4):
      Version Added for Robust Scaler
      Version added for all new classes
      Added more documentation of version adds
      Added more versions of 0.17

Kenneth Lyons (2):
      [DOC] clarify distance mode in graph creation functions.
      [MRG+1] Check for bad labels in confusion_matrix. (#6958)

Kevin Wang (1):
      DOC cross-reference preprocessing estimators and functions in their docstrings

Kirill Bobyrev (1):
      Addressing issue #7468. (#7472)

Konstantin Podshumok (1):
      [MRG+2] ENH: (minor) add quantile_low/high parameters to robust scaler (#5929)

Kornel Kielczewski (1):
      Ridge coefficients as a function of regularisation

Krishna Kalyan (1):
      link to gpr guide (#6885)

Kvle Putnam (2):
      Fix minor typo in RandomizedSearchCV documentation
      Fix omitted word in SVM-Anova example

Kyle Jackson (3):
      DOC Fixed check_estimator example (#7025)
      [MRG] DOC updated normalize param docstring (#7161)
      [MRG] DOC removed redundant word from KNN docs (#7345)

Lars Buitinck (4):
      COSMIT nicer output from NMF with verbose > 0
      MAINT/TST: public export of non_negative_factorization
      Merge pull request #6327 from yenchenlin1994/fix-lda-transform-output-probability
      MAINT remove my email address

LeiG (1):
      #5877 fix confusing n_samples and n_features

LeightonZhang (1):
      DOC: minor docstring format fixed (#7249)

Leland McInnes (1):
      Update related_projects.rst

Liang-Chi Hsieh (1):
      [MRG+1] Add a set recording pushed elements in DBSCAN (#6799)

Lilian Besson (8):
      Typo on doc for default value of solver for lda.LDA
      Update copyright year in the doc footer (2014 → 2015)
      Update svm.rst
      Update svm.rst
      Update cross_validation.rst
      Update svm.rst
      Add and print a total_n_estimators information
      Two typo on my change, sorry

Loic Esteve (33):
      MAINT use super rather than calls to base class methods
      MAINT update joblib to 0.9.3
      Fix coveralls report sending
      FIX fetch_california_housing
      DOC fix FAQ link at the bottom of main page
      Fix reading of bunch pickles
      Added changelog entry about #6196
      Fix test_label_binarizer on Windows
      Add sklearn/preprocessing/tests to source distribution
      MAINT simplify freeing logic for Barnes-Hut SNE memory leak fix
      FIX StratifiedShuffleSplit train and test overlap
      MAINT temporary disable MKL in Travis
      Do not ignore files starting with _ in nose
      Fix IsotonicRegression __setstate__ (#6729)
      [MRG+1] Reenable MKL for python 3.5 in Travis (#6661)
      FIX segmentation fault in libsvm (#6708)
      Fix CircleCI failure (#6903)
      Fix sklearn.base.clone for all scipy.sparse formats (#6910)
      COSMIT fix typo in author name
      Merge pull request #7041 from jnothman/dbscan_doc
      DOC joblib default start method is not forkserver (#7077)
      COSMIT fix python2 -> python3 in comment
      Use pgtol parameter in fmin_l_bfgs call (#7167)
      MockDataFrame.__array__ should take an optional dtype
      NotAnArray.__array__ should take an optional dtype
      [MRG+3] Add flake8 linting of the diff in Travis (#7127)
      Update joblib to 0.10.2
      Exclude sklearn/externals from diff for flake8
      Merge pull request #7300 from nelson-liu/rename_unveil_tree_structure
      Merge pull request #7282 from asnt/fix-convergence-warnings
      Fix flake8_diff.sh when Travis runs in a fork
      Change flake8_diff.sh logic for branch in main repo (#7437)
      Fix typo in whats_new.rst

Louis Tiao (1):
      Fixed typo..

Léonie Borne (1):
      [MRG+1] RadiusNeighborsClassifier edit (#6918)

Mads Jensen (1):
      fixed error message when y_pred and y_test labels don't match

Maniteja Nandana (7):
      Solves issue #5715: enables pandas input to log_loss
      MAINT: Print info message for fetch_20newsgroups
      DOC: Clarify the scoring in Logistic Regression
      DOC: Correct some errors in chebyshev distance
      Meta estimator for multi output classification
      ENH: Add indicator features to imputer output
      DOC: Improve docs for average precision score

Manoj Kumar (57):
      Fix broken examples using RandomTreeEmbeddings
      Merge pull request #5421 from shagunsodhani/proposed-fix-for-#5387
      Patch liblinear for sample_weights in LogisticRegression(and CV)
      Add check for sample_weights
      Replace GETC to SAMPLE_WEIGHT
      HOTFIX for incorrect cast in liblinear.pyx
      DOC: Correct confusing docs of n_values in OneHotEncoder
      Merge pull request #5755 from rvraghav93/fix_depr_version
      Merge pull request #5492 from arthurmensch/remove_cython
      Scaling a sparse matrix along axis 0 should accept a csc by default
      Merge pull request #5783 from varun-kr/check_classification_bug
      Merge pull request #5251 from TomDLT/sag_multi
      Parallelize embarrassingly parallel loop in RFECV.fit
      Merge pull request #5784 from MechCoder/parallel_rfecv
      Update whats_new.rst
      Merge pull request #6048 from zhengqm/fix-cluster-example-bug
      FIX: Cluster centers after fir in KMeans and MBKMeans need not be ordered in the same way
      First pull request of 2016!
      Merge pull request #6119 from Qwasser/fetch_lfw_pairs-target-shape
      Merge pull request #5833 from welch/issue-5581-doc-warm-start
      Make ridge path with ill-conditioned matrices clearer
      Use row_norms in f_regression
      Update whats_new for partial_fit OvR and OvO
      Merge pull request #6139 from dsquareindia/fetch_lfw_doc_fix
      Merge pull request #6150 from MechCoder/fix
      Deprecate residual_metric and add support for loss
      Merge pull request #5497 from MechCoder/ransac_residual
      MAINT: Refactor and speed up silhoutte_score
      Merge remote-tracking branch 'upstream/pr/6182'
      Merge pull request #6212 from kingjr/fix_kernel_ridge_doc
      Merge pull request #6235 from lesteve/fix-reading-of-bunch-pickle-generated-with-0.16
      Merge pull request #5794 from rasbt/check_votingclassifier
      Merge pull request #6331 from joerobmunoz/fix-model-evaluation-typo
      Merge pull request #6384 from yenchenlin1994/fix-broken-link-in-sparse-example
      Correct PCA and RandomizedPCA docs related to whitening
      Huber regressor
      Merge pull request #5291 from MechCoder/huber_loss
      Merge pull request #5299 from giorgiop/pca+randomizedpca
      Merge pull request #6173 from dsquareindia/featurehasher_fix
      MAINT: Simplify n_features_to_select in RFECV
      Merge pull request #6221 from dsquareindia/LabelBinarizer_fix
      Update whatsnew
      Merge pull request #6588 from yenchenlin1994/use-fused-types-in-assign_rows_csr
      Merge pull request #6419 from nelson-liu/fix_linkcheck
      Merge pull request #6127 from hugobowne/MultiOneVsRestClassifier
      Merge pull request #6611 from maniteja123/chebyshev_doc
      Merge pull request #6632 from mszep/patch-1
      Disable checks in _centers_sparse
      Merge pull request #5414 from vighneshbirodkar/el
      Remove add_row_csr (#6676)
      [MRG + 1] [MAINT] Remove non-trivial logic during kernel initialization (#6963)
      Add labels argument to log_loss to provide labels explicitly when number of classes in y_true and y_pred differ
      Merge pull request #7252 from lesteve/fix-mock-dataframe-check-array
      Merge pull request #7264 from MridulS/kmeansdoc
      [MRG+2] Fix repr on isotropic kernels when a 1-D length scale is given (#7259)
      [MRG] Fail imputer early when number of features are not the same in fit and transform (#7374)
      Merge pull request #6400 from scikit-learn/radneigh-njobs

Manvendra Singh (3):
      [MRG + 1] load_iris dataset: added return_X_y option (#7049)
      [MRG] load_breast_cancer dataset: added return_X_y option (#7152)
      [MRG+1] added return_X_y option to toy datasets in sklearn.datasets (#7154)

Marco De Nadai (1):
      Lasso docs fixed (#6880)

Mario Krell (1):
      Unify documentation in GMM module

Mark Bao (1):
      Doc: spectral.py: Add default value to gamma (#6941)

Mark Szepieniec (1):
      Fix grammar bug in docstring of SelectFromModel

Martin Madsen (1):
      Typo documentation fixes in Advanced Installation (#6753)

MartinBpr (2):
      Corrected macro ROC in example plot_roc
      fixed typo in LDA

MaryanMorel (1):
      Deprecate residues_ in LinearRegression

Massil (4):
      fixed issue #3450 for hamming loss
      changed weighting in hamming_loss in sklearn/metrics/classification.py
      added test to compare scipy implementation of hamming loss with ours, in sklean/metrics/tests/test_classification.py
      deleted a commented line (line 1464 in sklearn/metrics/classification.py)

Matheus (1):
      Small fix on ensemble.rst

Mathieu Blondel (4):
      Merge pull request #5586 from giorgiop/patch-1
      Typo.
      Merge pull request #5865 from hlin117/mailmap
      Merge pull request #5855 from pieteradejong/doc-edits-transforms

Mathieu Dubois (3):
      Use kwargs instead of functools.partial to define some scorers
      Smoke test the repr of scorers.
      Use items instead of iteritems for python 3 compatibility.

Matteo Visconti di Oleggio Castello (1):
      [DOC] fix reference to examples

Matthias Ekman (1):
      DOC: fix shape lambda_ attribute in BayesianRidge

Max Moroz (1):
      fixed memory / efficiency issue in DummyClassifier(strategy='most_frequent')

Michael Scherer (1):
      Fix formatting issue in tree.rst

Mikhail Korobov (2):
      fixed error message for invalid class_weight values
      use == instead of 'is' for string comparison (#7422)

Moussa Taifi (3):
      Fix small typos in docstring and comment (#6840)
      Add Brier_score_loss to model validation doc
      fix pipeline docs typos (#6940)

Mridul Seth (2):
      Add class example for KMeans
      Remove dtype conversion warning (#7265)

Naoya Kanai (1):
      add load_breast_cancer to API reference (#7149)

Nate George (1):
      Fix docs links (#7005)

Nelle Varoquaux (5):
      Merge pull request #7063 from samuelstjean/patch-1
      Merge pull request #7057 from doshyt/doc-update-confusion
      Merge pull request #7033 from nelson-liu/fix_tfidf_intro_to_ir_citation
      Merge pull request #7083 from amueller/typos
      Merge pull request #7324 from raghavrv/rename_results_

Nelson Liu (40):
      replaced matplotlib function finance.quotes_historical_yahoo() (deprecated as of matplotlib 1.4.x) with finance.quotes_historical_yahoo_ochl(), enabling the example to work for the latest version of matplotlib (1.5.0).
      edited docstring for clarity regarding the naming of the pipeline components.
      edited FAQ to include info about deep learning
      doc/fix: edited inaccuracies in nearest centroid classification example
      Updated examples and tests that use scipy's lena
      enh: reorganize build files
      doc: fix capitalization in svm.rst citation to match paper.
      DOC: add issue and pull request template
      doc: add link to user guide in isolation forest docstring
      doc: fix spellings of 'license'
      DOC: refactor issue and PR template (#6470)
      DOC: fix typo in check_arrays
      doc: update mailing list info (#6812)
      DOC: fix spelling of Schütze in tfidf citations
      DOC: fix typo in sprint title in about (#7043)
      [MRG+3] Add mean absolute error splitting criterion to DecisionTreeRegressor (#6667)
      [MRG+1] feature: add beta-threshold early stopping for decision tree growth (#6954)
      add versionadded for MAE (#7105)
      DOC: fix spacing in forest mae versionadded (#7106)
      [MRG + 1] add "versionadded" tags to min_impurity_split docstrings (#7093)
      doc: fix early stopping indentation in what's new (#7108)
      fix indent in whats_new and fix indent in datasets/base.py (#7138)
      fix MultiOutputEstimator fit return docstring (#7150)
      fix some sphinx warnings in whats_new.rst (#7151)
      [MRG] edit citation indentation in about.rst and add gsoc info for '15 '16 (#7191)
      clarify splitting sparse data always outputs csr matrix
      edit docstring for arrays argument as well
      remove accidentally added whitespace
      removed versionadded for arrays param and fixed spacing
      feature: add tests for sparse matrices
      try to fix travis error
      be more explicit about purpose of test
      Minor doc fixes in pairwise metrics (#7227)
      Wrap up changes to fix log_loss bug and clean up log_loss
      [MRG + 1] doc: specifically address reinforcement learning in faq (#6479)
      [MRG + 1] Rebased navbar fix (#7202)
      rename unveil_tree_structure example to enable CI on it
      [MRG] Add link to AUTHORS.rst in readme (#7320)
      [MRG+1] edited the FAQ to fix a typo and include info regarding global random states (#5927)
      DOC add species distributions dataset to classes.rst (#7430)

Nick James (1):
      fix for #5725 (makes sure numpy array is not compared to string, which will fail in future versions of numpy)

NickleDave (1):
      add directions for contact to AUTHORS.rst

Nico de Vos (1):
      added k-modes clustering project

Nicolas Goix (12):
      iforest
      change doc outlier_detection
      plot decision function histogram on bench datasets
      binary predict in IsolationForest + test added
      cosmit
      update doc + bench
      add an example + change predict to respect convention
      cosmit
      fuse benchmarks
      cosmit
      cosmit
      take into account raghav comments

Nikolay Mayorov (26):
      BUG: Fixed fetch_kddcup99 for Python 3
      ENH: Implemented mutual_info function
      DOC: Documentation update related to mutual_info
      MAINT: Use six.moves.zip in mutual_info
      MAINT: Renamed module mutual_info to mutual_info_
      DOC: Example for mutual_information
      API: Split mutual_info into _regression and _classif
      MAINT: Add blank lines between parameters in mutual_info_.py
      MAINT: Add check_classification_targets to mutual_info_classif
      TST: Change tolerance checks in test_mutual_info.py
      MAINT: Small changes to plot_f_test_vs_mi.py
      MAINT: Slightly improve logic of discrete-continuous MI estimation
      MAINT: Slightly improve copy logic in _estimate_mi
      DOC: Add short descriptions of methods for mutual info estimation
      DOC: Add a short explanation of F-test vs MI in narrative doc
      BUG: Fix copy logic for mutual info functions
      TST: Speed up 2 tests related to mutual info
      DOC: Small fixes in mutual_info_.py documentation
      MAINT: Small refactoring in mutual_info_.py
      MAINT: Get rid of classes in test_mutual_info.py
      DOC: Add one more reference for mutual info methods
      MAINT: Add a clarification comment in mutual_info_.py
      DOC: Modify SelectKBest and SelectPercentile docstrings slightly
      MAINT: Mention mutual info methods in whats_new.rst
      BUG: Remove non-ASCII symbols from mutual_info_.py
      MAINT: Modify whats_new item related to mutual information

Okhlopkov Daniil Olegovich (2):
      updated info for cross_val_score
      Update copyright year in the doc footer (2015 → 2016)

Olivier Grisel (111):
      MAINT switching master to 0.18.dev0
      MAINT Use the full listing of the rackspace wheelhouse for appveyor
      Merge pull request #5429 from amueller/python33_reload
      Merge pull request #5459 from waterponey/circleCI
      Merge pull request #5480 from pletelli/gpc_plot
      Merge pull request #5319 from nicodv/patch-1
      Merge pull request #5436 from Mbompr/plot-roc-example-4976
      Merge pull request #5449 from Jeffrey04/5433-MaxAbsScaler-1-row-csr-fix
      Merge pull request #5141 from giorgiop/power-iter-randomized-svd
      ENH better 'constant' learning rate schedule
      Merge pull request #5565 from MechCoder/hot_fix
      Merge pull request #5550 from johannah/module-text-colorblind
      Merge pull request #5576 from johannah/module-mixture-colorblind
      Merge pull request #5577 from waterponey/circleCI_doc
      MAINT Cython will soon be a build requirement
      Merge pull request #5574 from johannah/module-decomposition-colorblind
      MAINT make nosetests verbose output more informative
      FIX increase tolerance of class weight check for OS X
      Merge pull request #5635 from ogrisel/ogrisel-joblib-0.9.3
      MAINT fix the coveralls badge
      Merge pull request #6050 from ogrisel/coveralls-tweaks
      MAINT fix data home dir in circle.yml
      Merge pull request #6084 from ogrisel/rebased-pr-3804
      FIX boolean indexing in test_label_kfold
      FIX deprecation warning for inspect.getargspec
      ENH less verbose output in plot_partial_dependence example
      Upgrade joblib to 0.9.4 to fix important bugs
      DOC entry for joblib 0.9.4 upgrade
      Merge pull request #6179 from ogrisel/joblib-0.9.4
      Merge pull request #6201 from GaelVaroquaux/more_ledoit_wold_tests
      Merge pull request #6230 from yenchenlin1994/fix-Hierarchical-parameter-doc
      Merge pull request #6238 from amlankar/patch-1
      Merge pull request #6218 from mth4saurabh/update-input-data-note-clustering-docs
      TST non-regression test for #6147, roc_auc on memmap data
      FIX 6147: ensure that AUC is always a float
      DOC add fix for #6147 to the changelog
      DOC missing changelog entry for #5857
      Merge pull request #6241 from louridas/fix-iris-decision-tree
      Merge pull request #5701 from ziky90/gp-comparison-fixes
      Merge pull request #6277 from rasbt/latendDAupdate
      Merge pull request #6264 from yenchenlin1994/fix-multioutput-regression-tree-example
      Merge pull request #6232 from maniteja123/fetch_20newsgroups
      FIX restore previous title layout in examples/tree/plot_iris.py
      Merge pull request #6267 from yenchenlin1994/fix-LDA-doc-error
      Merge pull request #6286 from ogrisel/pr-6206-followup
      Merge pull request #6270 from ogrisel/pr-5711-followup
      FIX performance issue in _graph_connected_component
      Merge pull request #6268 from ogrisel/fix-spectral-embedding-stopping-condition
      MAINT display pip version in appveyor
      MAING Upgrade pip in appveyor
      Merge pull request #6299 from ogrisel/fix-appveyor-pip
      MAINT split test_ridge.test_dense_sparse with generator
      STYLE missing whitespace in isomap comment
      MAINT speed up slow test_iforest_sparse
      Merge pull request #6324 from chyikwei/fix-lda-joblib-error
      DOC whats_new entry for #6258
      Merge pull request #6040 from amueller/circle_texlive
      MAINT clean up install script
      MAINT more informative output to circle/check_build_doc.py
      FIX check_build_doc.py false positive detections
      Merge pull request #6363 from ogrisel/pr-6332-followup
      Merge pull request #6254 from rvraghav93/cythonize_when_pxd_changes
      Merge pull request #6508 from lesteve/travis-nomkl
      MAINT bump up numpy and scipy versions for travis latest
      Merge pull request #6494 from ogrisel/fix-travis-conda-numpy
      [MRG] Fix strict tests
      FIX assert_array_almost_equal in test_image
      Merge pull request #6636 from ogrisel/fix-strict-tests-2
      Merge pull request #6664 from yenchenlin1994/make-cython-compiler-directives-global
      Merge pull request #6666 from tguillemot/GSoC-GMM-new
      STYLE minor flake8 fixes in nmf.py
      STYLE use one-liner
      DOC do not mention private class in changelog
      FIX SquaredHinge is a classification loss (#6771)
      FIX workaround bug in numpy 1.9 (#6856)
      Joblib 0.10.0 (#6985)
      TST make test_forest robust to platform variability
      FIX broken NMF test with numpy 1.7.1
      STYLE trailing whitespace
      FIX broken iforest test under numpy 1.7.1
      FIX broken test when run with arch -i386 on OSX
      FIX make HuberRegressor tests stable under 32 bit Linux (#7196)
      DOC reference CalibratedClassifierCV in SGDClassifier.predict_proba (#7281)
      [MRG] identity activation function for MLPs (#7267)
      [MRG] Update joblib to 0.10.2 (#7290)
      ENH make validation message easier to understand (#7294)
      FIX #7293: StandardScaler.with_mean in preprocessing doc
      Merge pull request #7216 from b0noI/master
      Merge pull request #7316 from totalgood/doc-clf-reg-patch
      Merge pull request #7317 from amueller/common_test_names
      Merge pull request #7342 from themrmax/pydotplus-decision-tree-plotting
      DOC fix iterated_power='auto' in doctests
      Merge pull request #7304 from jnothman/binary_prf_mine
      Add Dirichlet process prior to BayesianGaussianMixture (#7386)
      DOC fix for svd_solver in PCA docstring
      DOC fix class.rst for Label / Group CV tools
      ENH more informative validation error message
      Merge pull request #7393 from ogrisel/mlp-multilabel
      ENH rename l-bfgs to lbfgs in MLP for the sake of consistency
      ENH rename algorithm to solver in MLP for consistency
      Merge pull request #7309 from amueller/how_to_ask_questions
      Merge pull request #7396 from ogrisel/mlp-optimizer
      Merge pull request #7401 from ogrisel/sgdclf-predict_proba-delegation
      DOC add what's new entry for #7159
      Merge pull request #7404 from amueller/capitalization_rebase
      Release 0.18rc
      Release 0.18rc1
      FIX use == to avoid relying on string interning
      FIX missing import in setup.py
      Release 0.18rc2
      [MRG+2] Faster isotonic rebased (#7444)

Panos Louridas (2):
      remove shuffling and standardization fix layout
      move title in the bottom

Paul Strickland (1):
      Correct typo in ``decomposition.rst``. Merge latest changes.

Perrine Letellier (2):
      fontsize legend parameter is not available for matplotlib < 1.3
      colorbar doesn't handle label parameter

Peter Fischer (6):
      Bug fix for unnormalized laplacian
      Update whats_new.rst
      Bug fix for unnormalized laplacian
      Update whats_new.rst
      Initialize ARPACK eigsh
      Update test_utils.py

Pieter de Jong (1):
      minor grammatical fix

Ping-Yao, Chang (1):
      Add description about default score_func

Preston Parry (9):
      removes extra spaces from error message
      DOC clarifies that sparse matrices are scipy
      [DOC] Moves comma to make sentence more clear
      DOC Minor grammar fix (#6925)
      Minor grammar fix
      minor wording fix
      Minor docstring clarification (#6926)
      DOC Updates sklearn naming convention for consistency (#7268)
      [DOC] Capitalizes "C/C++" from "c/c++" (#7273)

Qimu Zheng (1):
      Fix bug in mini batch kmeans example

Rachit Kansal (1):
      Tweaking the legend of GP plot in plot_compare_gpr_krr.py

Raghav R V (36):
      FIX precision to float64 across the codebase
      MAINT remove deprecated stuff that will no longer be supported in 0.18
      MAINT move custom error/warning classes into sklearn.exceptions
      DOC/SPHINX Add template for classes which don't have init (Exception classes)
      MAINT Deprecated the UndefinedMetricWarning at sklearn.metrics.base
      MAINT move deprecated into deprecation.py
      FIX/ENH Make the moved class resilient to the deprecation patching
      DOC Add description for UndefinedMetricWarning
      MAINT Remove deprecated stuff that will be removed in 0.18
      Main Commits - Major
      FIX inspect.argspect is deprecated; use signature
      DOC Modify documentation/examples for the new model_selection module
      DOC Add the learning curve documentation to model_selection.rst
      MNT 0.19 --> 0.20; As the model_selection changes will be released in 0.18 only
      FIX Explicitly specify the plot colors for each curve
      DOC Reworded cv documentation
      Leading underscores for warnings imported from sklearn.exceptions
      ENH Add sample weight support to matthews_corrcoef metric
      ENH/FIX std error is computed for mean across a set of 3 scores, not len(X)
      TST/FIX Make model selection tests warning free!
      FIX/NRT signature expects the init to not be a c-defined method (Py2.7)
      ENH/MAINT Check for changes in pxd files too. Cleanup code
      ENH/MAINT Save hashes once for every file
      FIX use the model_selection
      ENH move the raise statement alone inside a gil block (#6644)
      DOC Make the PR/Issue headers smaller (#6685)
      FIX Don't warn when scoring param is passed + PEP8 (#6798)
      [MRG] ENH Restructure grid_scores_ into a dict of 1D arrays
      CI Install psutil (#6897)
      MNT use model_selection (#7082)
      [MRG] MAINT Removing more deprecated stuff for v0.18 (#5528)
      ENH Better error message when refit=True. (#7234)
      results_ --> cv_results_; "test_mean_score" --> "mean_test_score" et al.
      [MRG+1] ENH/MNT Rename labels --> groups in CV tools (#6660)
      MNT Remove unused constants from public API(?) (#6517)
      [MRG+1] TST Stronger test for _check_is_permutation (#7395)

Ralf Gommers (1):
      BLD: fix build issue introduced by gh-5492.

Ramana.S (2):
      Add missing pairwise metrics to classes.rst
      doc:added multilabel y support for all splitters

Rammig (1):
      [MRG+1] Added text and logo for ottogroup testimonial (#6802)

Randy Olson (2):
      Add Python and PyPi version badges
      Add TPOT to related projects (#6732)

Rob Alexander (1):
      Corrected typos in cross_validation.KFold docstring

Rob Hall (1):
      added contributors to whats new for 0.16 and 0.17 (#5840)

Robert Lutz (1):
      [MRG+1] Fix: Replace pylab with matplotlib.pyplot #6754 (#6762)

Robin Schucker (1):
      Fixed doc for issue #7409 (#7410)

Rohan Jain (1):
      DOC Fix text data tutorial (#6923)

Roman Yurchak (1):
      [MRG] Text vectorizers memory usage improvement (#7272)

Ruifeng Zheng (2):
      [MRG+3] Add weighting option to cohen_kappa_score
      [MRG+1] Add hyperlink and example for kappa (#7214)

Russell Smith (1):
      Add OneVs{One,All}Classifier._pairwise: fix for #7306 (#7350)

Ryan Yu (2):
      Update tree.rst (#6826)
      fix a typo in ridge.py (#6917)

Rémy Léone (14):
      List creation could be litteral
      Dictionary creation could be rewritten as litteral
      Chained compararisons can be simplified
      remove useless pass
      Redirecting to open issues
      Default mutable argument
      Useless trailing semicolon
      Simplify chain comparaison
      Migrate examples to avoid deprecated module
      Remove cython warnings
      dict.has_key() deprecated
      MAINT Use with to handle file
      Inconsistent indentation
      [DOC] Fix broken links

Saiwing Yeung (3):
      Merge remote-tracking branch 'scikit-learn/master'
      DOC: fixed typos and one style issue in plot examples
      FIX does not draw the ellipse! #6640 (#6757)

Sam Shleifer (1):
      DummyClassifier and DummyRegressor should raise NotFittedError (#7069)

Samuel St-Jean (3):
      Doc: Fix typo (#6854)
      DOC: fix typo (#7044)
      DOC: fix typo

Sartaj Singh (1):
      update file header in affinity_propagation.py

Sasank Chilamkurthy (1):
      NMF Bug fix when init='custom'

Scott Andrews (1):
      Fixed issue #5830, capitalization in advanced installation documenation

Scott Lowe (2):
      DOC: Align the code blocks in CONTRIBUTING.md with tab
      MAINT: Fix typo in comment for travis/install.sh

Sebastian Raschka (6):
      added LatentDA to the Incremental learning page
      raise NotFittedError in VotingClassifier and unit test improvements
      rename function to func (#6700)
      remove redundant NotFittedError import from voting classifier (#7060)
      [MRG] extending tfidf documentation (#7015)
      update setup.py PyPI trove classifier section (#7197)

Sebastian Saeger (1):
      Fixes the 'make cython' by adjusting the path to cythonize.py

Sebastián Vanrell (1):
      Doc minor fix ensemble.rst (#7186)

Sergei Lebedev (1):
      BUG fixed a typo in ``sklearn.gmm`` (#7182)

Shashank Shekhar (1):
      Added user guide link in function_tranformer docstring (#5785)

Shota (1):
      Fix typos (#6942)

Skipper Seabold (1):
      DOC: Fix spelling

SmedbergM (1):
      Read web pages as UTF-8 by default. Use with-blocks to open files.

Steven C. Howell (2):
      fix typo in DBSCAN explanation
      remove unnecessary comma

Sébastien Lerique (1):
      [MRG] fix documentation typo

Taranjeet (1):
      grammatical fix in tutorial.rst under basic category

Thierry (2):
      Integration of the new GaussianMixture class.
      Modification of the ignore_warning function and _IgnoreWarning class.

Thierry Guillemot (10):
      Correct the deprecation of the random_integers numpy function. (#6712)
      Modification of the GaussianMixture class to use cholesky precision matrices. (#6743)
      Modification of the GaussianMixture class. (#6824)
      Change GMM -> GaussianMixture. (#6886)
      [MRG] ENH Add Calinsky-Harabaz and Fowkes-Mallows clustering metrics (#6823)
      Correct Deprecation of DPGMM and VBGMM. (#7124)
      [MRG+1] Dpgmm alpha (#7028)
      [MRG+2] Modification of GaussianMixture class. (#7123)
      Fix -np.infty in GaussianMixture. (#7180)
      [MRG+1] Bayesian Gaussian Mixture (Integration of GSoC2015 -- second step) (#6651)

Thomas A Caswell (1):
      DOC: mark weights as optional

Thomas Hallock (2):
      s/labe/label
      corrected typo

Thomas Moreau (8):
      - Add max_n_classes param to cluster.supervised metric
      Reduce test time.
      Correct Typo with  Gael comment
      Improve travis config file (for :#5455)
      Add test before miniconda download
      WIP commit - add ls and print
      Test caching strategy for travis
      Remove testvenv from cache

Tim Head (29):
      English language changes to IsolationForest documentation
      The docs have moved
      Calculate max_depth when max_samples is known
      Fix docs and remove duplicated checks
      Comment on weird initialisation for scoping reasons
      Test for max_depth calculation and re-adding max_samples_ property
      Test max_samples_ attribute, set max_depth in BaseBagging
      Fix doc string and number vs string ordering
      Reference correct variable
      Use six to detect integral numbers
      base_estimator_ attribute is a single estimator not a list
      Multitarget regression meta estimator
      What's new?
      [MRG] Check for NaN or Inf in metric input (#6976)
      Rename smaller-is-better scoring metrics
      Update tests to new scorer names
      Introduce deprecation warning and fix tests
      Keep old metric names for deprecation period
      Keep old metric names in tests
      Do not show deprecated scorers in list of valid names
      Do not remove log_loss scorer during deprecation period
      Distinguish instances from functions in deprecated
      Go back to warning all callers
      Remove unused import
      Link to mean_squared_error function
      Small documentation fix
      Keep abstractmethod decorator
      Update examples to new scorer names
      Test that warning is raised when using deprecated scorer

Tom Dupré la Tour (34):
      Merge pull request #5733 from giorgiop/trevis-with-timer
      Merge pull request #5850 from JeremyNixon/jeremy-feature
      Merge pull request #5892 from mth4saurabh/add-user-guide-link-to-lda
      Merge pull request #5882 from LeiG/fix_confusing_n_samples
      Merge pull request #5919 from nelson-liu/fix_stock_example
      Merge pull request #5944 from nelson-liu/fix_make_pipeline_doc
      Merge pull request #5923 from fabioticconi/add_link
      Merge pull request #5800 from fabioticconi/patch-1
      Merge pull request #5852 from nickyj88/master
      Merge pull request #5730 from hdmetor/bugfix/5720
      Merge pull request #6036 from kputnam/patch-1
      DOC add version_added for multinomial sag
      Merge pull request #6102 from toastedcornflakes/denoising_doc_fix
      Merge pull request #6146 from toastedcornflakes/MLP_fix
      DOC add jmetzen and tomdlt to authors.rst
      Merge pull request #6314 from tshauck/remove-superfluous-declaration
      Merge pull request #6319 from gjreda/fix-soft-voting-docs
      Merge pull request #6328 from rvraghav93/model_selection_repr_fix
      Merge pull request #6333 from lesteve/fix-test-label-binarizer-on-windows
      Merge pull request #6414 from ssaeger/issue_6413
      Merge pull request #6461 from scottclowe/fix-typo
      Merge pull request #6462 from scottclowe/doc-align-contrubting-code-indents
      Merge pull request #6371 from yenchenlin1994/add-test-for-vote-classifier
      Merge pull request #6521 from giorgiop/patch-2
      DOC update docstring in LogisticRegression
      Merge pull request #6579 from nlathia/issue-6541
      Merge pull request #6569 from MechCoder/minor
      Merge pull request #6395 from yenchenlin1994/make-dump_svmlight_file-support-sparse-y
      Merge pull request #6376 from tracer0tong/issue_6352
      DOC add reference to multinomial logistic example
      change last pl to plt
      use class_weight through sample_weight in LogisticRegression with liblinear
      [MRG+2] convert to boolean arrays for boolean distances (#6932)
      DOC fix various syntax in whats_new (#7421)

TomDLT (5):
      FIX class_weight in LogisticRegression and LogisticRegressionCV
      update whats_new for #5008
      FIX decrease tolerance in test_logistic for appveyor failure
      add .tags in gitignore
      ENH add multinomial SAG solver for LogisticRegression

Toshihiro Kamishima (2):
      type checking before comparison, to avoid warning messages
      type echecking before comparison, to avoid warning of multiple comparison (#6615)

Trent Hauck (1):
      Removes X= after raise.

Tue Vo (1):
      [DOC] update and rename readme to readme.md (#6669)

Varun (3):
      BUG :#5782  check_classification_targets returns y instead of y_type
      #5782 added test case for check_classification_targets()
      added check for type in test_check_classification_targets

Varun Jewalikar (1):
      Typo

Viacheslav V Kovalevskyi (7):
      Merge branch 'master' of https://github.com/b0noI/scikit-learn
      "values" has been changed ot the "value" in the ValueError message.
      Text of the ValueError in _check_param_grid has been changed.
      Tests that are checking that _grid_search method throws correct ValueError have been added.
      Test method test_grid_search_incorrect_param_grid has been renamed to test_grid_search_param_grid_includes_sequence_of_a_zero_length.
      MockClassifier has been added to the _grid_search tests.
      Lines over 81 chracter length got reformatted.

Vighnesh Birodkar (8):
      Removed exit() call in topic extraction example
      change default order in check_array and update variable names in _k_means_elkan.pyx
      docstring elaboration and typo in fixes.py
      doc typo
      fixed doc formatting
      Revert definition of check_array
      revert doc string of check_array
      make centers C contig

Vikram (1):
      update for issue #6523 (add logistic_regression_path to classes.rst (#6970)

Villu Ruusmann (3):
      Added a related PMML serialization project
      Distinguished more clearly between two PMML serialization projects
      Explained implementation details

Vinayak Mehta (1):
      Replaced fontsize legend parameter

Wenhua Yang (1):
      FIX incorrect gradient computation for SquaredEpsilonInsensitive loss

Wenjian Huang (1):
      Update text.py

Will Welch (1):
      added warm_start flag to example

Yaroslav Halchenko (8):
      DOC: few minor typos spotted
      DOC: very minor typo
      Merge tag '0.18' into releases
      Merge branch 'releases' into dfsg
      Merge branch 'dfsg' into debian
      changelog + dropped changesets
      refreshed patches
      a little patch for PY3_OR_LATER import

Yen (12):
      [MRG+2] Use fused types in sparse mean variance functions (#6593)
      [MRG] Allows KMeans/MiniBatchKMeans to use float32 internally by using cython fused types (#6846)
      COSMIT Reduce duplicated code (#7053)
      Fix typo (#7145)
      DOC Add LabelKFold in _BaseKFold's docstring (#6344)
      [MRG] Make Silhouette_score support sparse X (#7170)
      [MRG] Add whats_new about fixing example (#7184)
      [MRG+1] Rename CV params n_{folds,iter} to n_splits (#7187)
      [MRG] Add homogeneous time series cross validation (#6586)
      [MRG+2] ElasticNet and Lasso now support float32 dtype input (#6913)
      Rename `TimeSeriesCV` to `TimeSeriesSplit` (#7245)
      [MRG+2] Make `enet_coordinate_descent_gram` support fused types (#7218)

YenChenLin (23):
      Make doc for parameter consistent
      Fix axis label of multioutput regression tree example
      Fix typo in parameter's doc
      Add doc to clarify the use of DictVectorizer when categorical features are represented as numeric values
      Fix check_cv error message
      Remove redundant and
      Normalize LDA transform's return value
      Remove redundant that in test_ranking.py
      Remove redundant assignment of parameter shuffle
      Add test for init errors
      Fix broken link of Wainwright's paper
      Remove redundant assignment of variable tol
      Add test for local linear embedding
      Remove redundant words in sklearn
      Fix misuse of it's
      Add doc of attributes for VotingClassifier
      Make dump_svmlight_file support sparse y
      Make assign_rows_csr support Cython fused types
      Use fused type in inplace normalize
      Test normalize function in data.py
      Make cython compiler directives global
      Make csr_row_norms support fused types
      Test row_norms for float32 data

Yichuan Liu (1):
      FIX 7155: GridSearchCV predict_proba delegation to SDGClassifier

Yoav Ram (1):
      emphasis on "higher return values are better..." (#6909)

Yoshiki Vázquez Baeza (1):
      DOC: Add defaults for oob_score in docstrings

Zheng RuiFeng (1):
      GaussianNB now support sample weighting

Zikes, Jan (2):
      Fixed string comparison on arrays in new Gaussian process described in issue #5663
      shortened if condition based on glouppe's suggestion

alexfields (1):
      Add link to multiisotonic

alyssaq (1):
      Fixed legend text and pep8 warnings

andrew giessel (1):
      DOC: clarify inputs for haversine metric

b0noI (3):
      ValueError that is thrown by _check_param_grid method now includes parameters name when values of a parameter have incorrect type.
      ValueError that is thrown by _check_param_grid method now includes parameters name when values of a parameter have incorrect type.
      [MRG+1] Support of the collections.Sequence type has been added to the _check_param_grid method from model_selection. (#7323)

blakeflei (1):
      [MRG + 1] update test_common.py deprecation warning (#7024)

codevig (1):
      add docs

definitelyuncertain (1):
      Explicit warnings in model persistence documentation (#7157)

djipey (4):
      Attribute explained_variance ratio is now available for LDA with the SVD
      Corrected the dimension of the array explained_variance_ratio_ for LDA,
      Cleaned the calculation of explained_variance_ratio_ in
      Regression test for explained_variance_ratio_, LDA, SVD solver.

dsquareindia (13):
      FIX Eliminated the use of color_cycle in out of core example
      Fixed the broken nose link in advanced installation docs.
      Fixed doc in lfw.py.
      Addressed comments
      SKF raises error if n_labels<n_folds for individual classes. Updated whats_new
      Added link to profile in whats_new.rst
      LabelEncoder now raises error for 0-D arrays
      FIX in randomized_svd flip sign
      DOC: Fix redundant doc for f_regression.
      DOC: Added memory workaround to dbscan doc
      Made seperate topic for mem consumption for large sample sizes
      ENH: FeatureHasher now accepts string values.
      LabelBinarizer single label case now works for sparse and dense case

edwinENSAE (1):
      Change comment formula of enet_coordinate_descent_gram

elena-sharova (1):
      Provided a fix for issue #7140 - Minor discrepancy in hashing feature

fisache (1):
      Fix minor typo

ghg (1):
      fixed log_loss bug

govin-vatsan (1):
      Changes to be committed:

halwai (1):
      Rewordin algorithm requirements in FAQ

hashcode55 (3):
      first commit
      changed binary average back to macro
      changed binomialNB to multinomialNB

hdmetor (1):
      Using rain_test_split and StandardScaler instead of reimplementing them

jackmartin (2):
      Fixed pep8 errors
      pep8

jarfa (2):
      much faster isotonic regression prediction (involved re-setting interpolation to linear)
      change to test_isotonic_regression_ties_min

jblackburne (1):
      Removed isclose from _binary_clf_curve. (#7353)

jeff levesque (1):
      #6609: related_projects.rst, one commit - @rvraghav93, @jnothman

jeremynixon (1):
      update ambiguous out of bag generalization terminology - from 'error' to 'accuracy' or 'the R^2...'.

johannah (11):
      Added colorblind compatibility to classification
      Added colorblind compatibility
      Added colorblind compatibility
      Changed from plot to scatter for consistency
      added colorblind compatibility
      Made plots colorblind friendly
      Added colorblind compatibility
      Added colorblind capability
      Added colorblind compatibility
      Added colorblind compatibility
      Added colorblind compatibility

jonathan.striebel (1):
      documentation: fixing typo (#6938)

joncrall (1):
      Fixed libsvm call with unicode kernel.

jrfiedler (3):
      Added deprecation cycle and modified examples (#7013)
      DOC Reword description to remove ambiguity (#7066)
      Modify v0.18 DeprecationWarning messages (#7067)

juliathebrave (1):
      [MRG +1] adds DeprecationWarning to DPGMM and VBGMM (#7020)

kaichogami (5):
      Added partial_fit method for ovo and ovr
      Added doc, tests
      Removed joblib comment, made compatible for python3
      Changed izip import statement, importing from six moudle
      Made few tweaks based on commemnts

kingjr (1):
      FIX: doc KernelRidge

kjell (2):
      residual sum of squares should be computed by summing the squared differences instead of taking the mean.
      change comment, printed comment, and code behavior to all reflect computation of mean squared error

krishnakalyan3 (3):
      fix balance
      fix Indentation and redundant info
      fix Indentation and redundant info

ldavid (1):
      Add parallelism to multiple algorithms

lizsz (1):
      Update scorer.py

michiaki ariga (1):
      Remove extra `+` in document

mlliou112 (1):
      DOC: Added Nested Cross Validation Example (#7111)

mrandrewandrade (1):
      fixed target link to isotonic regression example

nadya-p (1):
      [MRG+1] Parameter check in NMF and IsolationForest (#6814)

ningchi (2):
      [MRG] #6581 n_samples of utils.resample can be more when replace is True
      [MRG+1] issue #6532 Add `inverse_transform` function (#6570)

nlathia (1):
      Fix typo in html target

okbalefthanded (1):
      Update OAS estimator description (#6758)

pestrickland (2):
      Minor grammar fix.
      Removed duplicate word and corrected grammar in decomposition documentation.

practicalswift (1):
      [gardening] Fix NameError ("estimator" not defined). Remove unused var "ind".

rasbt (1):
      typo fixes in the current changelog

root (1):
      Change shape of target in fetch_lfw_pairs docstring to 2200 for consistence with data and pairs shape

saihttam (1):
      [MRG+1] Fix for test_neighbors_metrics() check kd-tree algorithm when possible (#7339)

saurabh.bansod (6):
      Add MLP to what's new
      Add user guide link to lda
      add warning, new images and links in MLP docs
      update url of ARD reference
      minor fix in RandomizedLasso API docs
      update note on Input Data in clustring docs

seales (2):
      Fix Kernel PCA docstring to reflect how remove_zero_eig defaults to false
      General spelling fixes

shagun Sodhani (1):
      proposed fix for #5387

shanmuga cv (1):
      [MRG+1] Bug fix for OneVsOneClassifier - converted input to numpy array (#6626)

shawpan (2):
      Fixed user guide link in ransac.py #5621
      added warning tests for test_roc_curve method

shengxiduan (1):
      adding user guide link  to LinearDiscriminantAnalysis issue #6829 (#7031)

shuckle16 (1):
      small grammar fix

sklearn-ci (1):
      Adding shield for circleCI in README

srvanrell (1):
      classes parameter renamed to labels in hamming_loss()

tKammy (1):
      fixed typo

themrmax (3):
      change decision tree example to use pydotplus for compatibility with Python 3
      make export_graphviz return string if out_file is None
      MAINT remove unneeded import (#7465)

toastedcornflakes (3):
      minor grammatical fix
      Remove useless normalization — fixes #6075
      Fix hyperparameter check error

tracer0tong (2):
      Fix for issue #6352
      Fixed codestyle

trevorstephens (4):
      fix rounding, adjust tests for 32 bit export_graphviz
      OneHotEncoder warn fix
      fix for missing classes found in y #4327
      fix pplot example for uneven grids

walter (1):
      Fix grammar in rbm docstring

waterponey (3):
      fix #4986 doc building on master with circleCI
      Pushing doc to github.io
      adding sklearn data home

wyseguy7 (1):
      Updated README, removed git clone with write reference (#7009)

xyguo (2):
      Fixing default order docs of sklearn.utils.check_array
      add doctest extension (#6774)

yanlend (11):
      - test for unnormalized Laplacian computation
      correct comments
      Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into patch-1
      - removed incorrectly commited file
      - test for unnormalized Laplacian computation
      correct comments
      - removed incorrectly commited file
      Revert "- removed incorrectly commited file"
      Merge branch 'patch-1' of https://github.com/yanlend/scikit-learn into patch-1
      Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into patch-1
      fix docs and doctests for KernelPCA

yelite (1):
      In tree, min_samples_split and min_samples_leaf now accept float number as percentage.

zivori (1):
      model_seclection._validation.cross_val_predict_apply_func

Óscar Nájera (16):
      [MAINT] Install sphinx-gallery v0.1.0
      conf.py integrate sphinx-gallery
      update image sources namespace
      update references link namespace
      update reference namespace in gallery scripts
      Add carousel
      References to examples
      more examples references
      [MAINT] Update to sphinx-gallery v0.1.1
      [MAINT] update to sphinx-gallery v0.1.2
      Remove custom touch to backreferences files
      Sphinx-Gallery has to be loaded after autodoc
      Python 2 backwards compatibility in example
      Fix example to use rst syntax in notebook comments
      Extra missing links complained by sphinx
      Sphinx-doc absolute path for auto_example images

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