-
Notifications
You must be signed in to change notification settings - Fork 81
/
Copy patholder_versions.html
1905 lines (1671 loc) · 145 KB
/
older_versions.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
<!DOCTYPE html>
<html lang="en" data-content_root="../" >
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
<meta property="og:title" content="Older Versions" />
<meta property="og:type" content="website" />
<meta property="og:url" content="https://scikit-learn/stable/whats_new/older_versions.html" />
<meta property="og:site_name" content="scikit-learn" />
<meta property="og:description" content="Version 0.12.1: October 8, 2012 The 0.12.1 release is a bug-fix release with no additional features, but is instead a set of bug fixes Changelog: Improved numerical stability in spectral embedding ..." />
<meta property="og:image" content="https://scikit-learn/stable/whats_new/auto_examples/manifold/images/thumb/sphx_glr_plot_compare_methods_thumb.png" />
<meta property="og:image:alt" content="banner1" />
<meta name="description" content="Version 0.12.1: October 8, 2012 The 0.12.1 release is a bug-fix release with no additional features, but is instead a set of bug fixes Changelog: Improved numerical stability in spectral embedding ..." />
<title>Older Versions — scikit-learn 1.5.2 documentation</title>
<script data-cfasync="false">
document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
document.documentElement.dataset.theme = localStorage.getItem("theme") || "";
</script>
<!-- Loaded before other Sphinx assets -->
<link href="../_static/styles/theme.css?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
<link href="../_static/styles/bootstrap.css?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
<link href="../_static/styles/pydata-sphinx-theme.css?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
<link href="../_static/vendor/fontawesome/6.5.2/css/all.min.css?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.2/webfonts/fa-solid-900.woff2" />
<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.2/webfonts/fa-brands-400.woff2" />
<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.2/webfonts/fa-regular-400.woff2" />
<link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=a746c00c" />
<link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
<link rel="stylesheet" type="text/css" href="../_static/plot_directive.css" />
<link rel="stylesheet" type="text/css" href="https://fonts.googleapis.com/css?family=Vibur" />
<link rel="stylesheet" type="text/css" href="../_static/jupyterlite_sphinx.css?v=ca70e7f1" />
<link rel="stylesheet" type="text/css" href="../_static/sg_gallery.css?v=d2d258e8" />
<link rel="stylesheet" type="text/css" href="../_static/sg_gallery-binder.css?v=f4aeca0c" />
<link rel="stylesheet" type="text/css" href="../_static/sg_gallery-dataframe.css?v=2082cf3c" />
<link rel="stylesheet" type="text/css" href="../_static/sg_gallery-rendered-html.css?v=1277b6f3" />
<link rel="stylesheet" type="text/css" href="../_static/sphinx-design.min.css?v=95c83b7e" />
<link rel="stylesheet" type="text/css" href="../_static/styles/colors.css?v=cc94ab7d" />
<link rel="stylesheet" type="text/css" href="../_static/styles/custom.css?v=e4cb1417" />
<!-- Pre-loaded scripts that we'll load fully later -->
<link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=dfe6caa3a7d634c4db9b" />
<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
<script src="../_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>
<script src="../_static/documentation_options.js?v=73275c37"></script>
<script src="../_static/doctools.js?v=9a2dae69"></script>
<script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="../_static/clipboard.min.js?v=a7894cd8"></script>
<script src="../_static/copybutton.js?v=97f0b27d"></script>
<script src="../_static/jupyterlite_sphinx.js?v=d6bdf5f8"></script>
<script src="../_static/design-tabs.js?v=f930bc37"></script>
<script data-domain="scikit-learn.org" defer="defer" src="https://views.scientific-python.org/js/script.js"></script>
<script>DOCUMENTATION_OPTIONS.pagename = 'whats_new/older_versions';</script>
<script>
DOCUMENTATION_OPTIONS.theme_version = '0.15.4';
DOCUMENTATION_OPTIONS.theme_switcher_json_url = 'https://scikit-learn.org/dev/_static/versions.json';
DOCUMENTATION_OPTIONS.theme_switcher_version_match = '1.5.2';
DOCUMENTATION_OPTIONS.show_version_warning_banner = true;
</script>
<script src="../_static/scripts/dropdown.js?v=e2048168"></script>
<script src="../_static/scripts/version-switcher.js?v=a6dd8357"></script>
<link rel="canonical" href="https://scikit-learn.org/stable/whats_new/older_versions.html" />
<link rel="icon" href="../_static/favicon.ico"/>
<link rel="author" title="About these documents" href="../about.html" />
<link rel="search" title="Search" href="../search.html" />
<link rel="next" title="Glossary of Common Terms and API Elements" href="../glossary.html" />
<link rel="prev" title="Version 0.13" href="v0.13.html" />
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<meta name="docsearch:language" content="en"/>
</head>
<body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
<div id="pst-skip-link" class="skip-link d-print-none"><a href="#main-content">Skip to main content</a></div>
<div id="pst-scroll-pixel-helper"></div>
<button type="button" class="btn rounded-pill" id="pst-back-to-top">
<i class="fa-solid fa-arrow-up"></i>Back to top</button>
<input type="checkbox"
class="sidebar-toggle"
id="pst-primary-sidebar-checkbox"/>
<label class="overlay overlay-primary" for="pst-primary-sidebar-checkbox"></label>
<input type="checkbox"
class="sidebar-toggle"
id="pst-secondary-sidebar-checkbox"/>
<label class="overlay overlay-secondary" for="pst-secondary-sidebar-checkbox"></label>
<div class="search-button__wrapper">
<div class="search-button__overlay"></div>
<div class="search-button__search-container">
<form class="bd-search d-flex align-items-center"
action="../search.html"
method="get">
<i class="fa-solid fa-magnifying-glass"></i>
<input type="search"
class="form-control"
name="q"
id="search-input"
placeholder="Search the docs ..."
aria-label="Search the docs ..."
autocomplete="off"
autocorrect="off"
autocapitalize="off"
spellcheck="false"/>
<span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
</form></div>
</div>
<div class="pst-async-banner-revealer d-none">
<aside id="bd-header-version-warning" class="d-none d-print-none" aria-label="Version warning"></aside>
</div>
<header class="bd-header navbar navbar-expand-lg bd-navbar d-print-none">
<div class="bd-header__inner bd-page-width">
<button class="pst-navbar-icon sidebar-toggle primary-toggle" aria-label="Site navigation">
<span class="fa-solid fa-bars"></span>
</button>
<div class=" navbar-header-items__start">
<div class="navbar-item">
<a class="navbar-brand logo" href="../index.html">
<img src="../_static/scikit-learn-logo-small.png" class="logo__image only-light" alt="scikit-learn homepage"/>
<script>document.write(`<img src="../_static/scikit-learn-logo-small.png" class="logo__image only-dark" alt="scikit-learn homepage"/>`);</script>
</a></div>
</div>
<div class=" navbar-header-items">
<div class="me-auto navbar-header-items__center">
<div class="navbar-item">
<nav>
<ul class="bd-navbar-elements navbar-nav">
<li class="nav-item ">
<a class="nav-link nav-internal" href="../install.html">
Install
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../user_guide.html">
User Guide
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../api/index.html">
API
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../auto_examples/index.html">
Examples
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-external" href="https://blog.scikit-learn.org/">
Community
</a>
</li>
<li class="nav-item dropdown">
<button class="btn dropdown-toggle nav-item" type="button" data-bs-toggle="dropdown" aria-expanded="false" aria-controls="pst-nav-more-links">
More
</button>
<ul id="pst-nav-more-links" class="dropdown-menu">
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../getting_started.html">
Getting Started
</a>
</li>
<li class=" current active">
<a class="nav-link dropdown-item nav-internal" href="../whats_new.html">
Release History
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../glossary.html">
Glossary
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-external" href="https://scikit-learn.org/dev/developers/index.html">
Development
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../faq.html">
FAQ
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../support.html">
Support
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../related_projects.html">
Related Projects
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../roadmap.html">
Roadmap
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../governance.html">
Governance
</a>
</li>
<li class=" ">
<a class="nav-link dropdown-item nav-internal" href="../about.html">
About us
</a>
</li>
</ul>
</li>
</ul>
</nav></div>
</div>
<div class="navbar-header-items__end">
<div class="navbar-item navbar-persistent--container">
<script>
document.write(`
<button class="btn btn-sm pst-navbar-icon search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="fa-solid fa-magnifying-glass fa-lg"></i>
</button>
`);
</script>
</div>
<div class="navbar-item">
<script>
document.write(`
<button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="theme-switch fa-solid fa-sun fa-lg" data-mode="light"></i>
<i class="theme-switch fa-solid fa-moon fa-lg" data-mode="dark"></i>
<i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto"></i>
</button>
`);
</script></div>
<div class="navbar-item"><ul class="navbar-icon-links"
aria-label="Icon Links">
<li class="nav-item">
<a href="https://github.com/scikit-learn/scikit-learn" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-square-github fa-lg" aria-hidden="true"></i>
<span class="sr-only">GitHub</span></a>
</li>
</ul></div>
<div class="navbar-item">
<script>
document.write(`
<div class="version-switcher__container dropdown">
<button id="pst-version-switcher-button-2"
type="button"
class="version-switcher__button btn btn-sm dropdown-toggle"
data-bs-toggle="dropdown"
aria-haspopup="listbox"
aria-controls="pst-version-switcher-list-2"
aria-label="Version switcher list"
>
Choose version <!-- this text may get changed later by javascript -->
<span class="caret"></span>
</button>
<div id="pst-version-switcher-list-2"
class="version-switcher__menu dropdown-menu list-group-flush py-0"
role="listbox" aria-labelledby="pst-version-switcher-button-2">
<!-- dropdown will be populated by javascript on page load -->
</div>
</div>
`);
</script></div>
</div>
</div>
<div class="navbar-persistent--mobile">
<script>
document.write(`
<button class="btn btn-sm pst-navbar-icon search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="fa-solid fa-magnifying-glass fa-lg"></i>
</button>
`);
</script>
</div>
<button class="pst-navbar-icon sidebar-toggle secondary-toggle" aria-label="On this page">
<span class="fa-solid fa-outdent"></span>
</button>
</div>
</header>
<div class="bd-container">
<div class="bd-container__inner bd-page-width">
<div class="bd-sidebar-primary bd-sidebar">
<div class="sidebar-header-items sidebar-primary__section">
<div class="sidebar-header-items__center">
<div class="navbar-item">
<nav>
<ul class="bd-navbar-elements navbar-nav">
<li class="nav-item ">
<a class="nav-link nav-internal" href="../install.html">
Install
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../user_guide.html">
User Guide
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../api/index.html">
API
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../auto_examples/index.html">
Examples
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-external" href="https://blog.scikit-learn.org/">
Community
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../getting_started.html">
Getting Started
</a>
</li>
<li class="nav-item current active">
<a class="nav-link nav-internal" href="../whats_new.html">
Release History
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../glossary.html">
Glossary
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-external" href="https://scikit-learn.org/dev/developers/index.html">
Development
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../faq.html">
FAQ
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../support.html">
Support
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../related_projects.html">
Related Projects
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../roadmap.html">
Roadmap
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../governance.html">
Governance
</a>
</li>
<li class="nav-item ">
<a class="nav-link nav-internal" href="../about.html">
About us
</a>
</li>
</ul>
</nav></div>
</div>
<div class="sidebar-header-items__end">
<div class="navbar-item">
<script>
document.write(`
<button class="btn btn-sm nav-link pst-navbar-icon theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="theme-switch fa-solid fa-sun fa-lg" data-mode="light"></i>
<i class="theme-switch fa-solid fa-moon fa-lg" data-mode="dark"></i>
<i class="theme-switch fa-solid fa-circle-half-stroke fa-lg" data-mode="auto"></i>
</button>
`);
</script></div>
<div class="navbar-item"><ul class="navbar-icon-links"
aria-label="Icon Links">
<li class="nav-item">
<a href="https://github.com/scikit-learn/scikit-learn" title="GitHub" class="nav-link pst-navbar-icon" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><i class="fa-brands fa-square-github fa-lg" aria-hidden="true"></i>
<span class="sr-only">GitHub</span></a>
</li>
</ul></div>
<div class="navbar-item">
<script>
document.write(`
<div class="version-switcher__container dropdown">
<button id="pst-version-switcher-button-3"
type="button"
class="version-switcher__button btn btn-sm dropdown-toggle"
data-bs-toggle="dropdown"
aria-haspopup="listbox"
aria-controls="pst-version-switcher-list-3"
aria-label="Version switcher list"
>
Choose version <!-- this text may get changed later by javascript -->
<span class="caret"></span>
</button>
<div id="pst-version-switcher-list-3"
class="version-switcher__menu dropdown-menu list-group-flush py-0"
role="listbox" aria-labelledby="pst-version-switcher-button-3">
<!-- dropdown will be populated by javascript on page load -->
</div>
</div>
`);
</script></div>
</div>
</div>
<div class="sidebar-primary-items__start sidebar-primary__section">
<div class="sidebar-primary-item">
<nav class="bd-docs-nav bd-links"
aria-label="Section Navigation">
<p class="bd-links__title" role="heading" aria-level="1">Section Navigation</p>
<div class="bd-toc-item navbar-nav"><ul class="current nav bd-sidenav">
<li class="toctree-l1"><a class="reference internal" href="v1.5.html">Version 1.5</a></li>
<li class="toctree-l1"><a class="reference internal" href="v1.4.html">Version 1.4</a></li>
<li class="toctree-l1"><a class="reference internal" href="v1.3.html">Version 1.3</a></li>
<li class="toctree-l1"><a class="reference internal" href="v1.2.html">Version 1.2</a></li>
<li class="toctree-l1"><a class="reference internal" href="v1.1.html">Version 1.1</a></li>
<li class="toctree-l1"><a class="reference internal" href="v1.0.html">Version 1.0</a></li>
<li class="toctree-l1"><a class="reference internal" href="v0.24.html">Version 0.24</a></li>
<li class="toctree-l1"><a class="reference internal" href="v0.23.html">Version 0.23</a></li>
<li class="toctree-l1"><a class="reference internal" href="v0.22.html">Version 0.22</a></li>
<li class="toctree-l1"><a class="reference internal" href="v0.21.html">Version 0.21</a></li>
<li class="toctree-l1"><a class="reference internal" href="v0.20.html">Version 0.20</a></li>
<li class="toctree-l1"><a class="reference internal" href="v0.19.html">Version 0.19</a></li>
<li class="toctree-l1"><a class="reference internal" href="v0.18.html">Version 0.18</a></li>
<li class="toctree-l1"><a class="reference internal" href="v0.17.html">Version 0.17</a></li>
<li class="toctree-l1"><a class="reference internal" href="v0.16.html">Version 0.16</a></li>
<li class="toctree-l1"><a class="reference internal" href="v0.15.html">Version 0.15</a></li>
<li class="toctree-l1"><a class="reference internal" href="v0.14.html">Version 0.14</a></li>
<li class="toctree-l1"><a class="reference internal" href="v0.13.html">Version 0.13</a></li>
<li class="toctree-l1 current active"><a class="current reference internal" href="#">Older Versions</a></li>
</ul>
</div>
</nav></div>
</div>
<div class="sidebar-primary-items__end sidebar-primary__section">
</div>
<div id="rtd-footer-container"></div>
</div>
<main id="main-content" class="bd-main" role="main">
<div class="bd-content">
<div class="bd-article-container">
<div class="bd-header-article d-print-none">
<div class="header-article-items header-article__inner">
<div class="header-article-items__start">
<div class="header-article-item">
<nav aria-label="Breadcrumb" class="d-print-none">
<ul class="bd-breadcrumbs">
<li class="breadcrumb-item breadcrumb-home">
<a href="../index.html" class="nav-link" aria-label="Home">
<i class="fa-solid fa-home"></i>
</a>
</li>
<li class="breadcrumb-item"><a href="../whats_new.html" class="nav-link">Release History</a></li>
<li class="breadcrumb-item active" aria-current="page">Older Versions</li>
</ul>
</nav>
</div>
</div>
</div>
</div>
<div id="searchbox"></div>
<article class="bd-article">
<section id="older-versions">
<h1>Older Versions<a class="headerlink" href="#older-versions" title="Link to this heading">#</a></h1>
<section id="version-0-12-1">
<span id="changes-0-12-1"></span><h2>Version 0.12.1<a class="headerlink" href="#version-0-12-1" title="Link to this heading">#</a></h2>
<p><strong>October 8, 2012</strong></p>
<p>The 0.12.1 release is a bug-fix release with no additional features, but is
instead a set of bug fixes</p>
<section id="changelog">
<h3>Changelog<a class="headerlink" href="#changelog" title="Link to this heading">#</a></h3>
<ul class="simple">
<li><p>Improved numerical stability in spectral embedding by <a class="reference external" href="http://gael-varoquaux.info">Gael
Varoquaux</a></p></li>
<li><p>Doctest under windows 64bit by <a class="reference external" href="http://gael-varoquaux.info">Gael Varoquaux</a></p></li>
<li><p>Documentation fixes for elastic net by <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a> and
<a class="reference external" href="http://alexandre.gramfort.net">Alexandre Gramfort</a></p></li>
<li><p>Proper behavior with fortran-ordered NumPy arrays by <a class="reference external" href="http://gael-varoquaux.info">Gael Varoquaux</a></p></li>
<li><p>Make GridSearchCV work with non-CSR sparse matrix by <a class="reference external" href="https://github.com/larsmans">Lars Buitinck</a></p></li>
<li><p>Fix parallel computing in MDS by <a class="reference external" href="http://gael-varoquaux.info">Gael Varoquaux</a></p></li>
<li><p>Fix Unicode support in count vectorizer by <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a></p></li>
<li><p>Fix MinCovDet breaking with X.shape = (3, 1) by <a class="reference external" href="https://github.com/VirgileFritsch">Virgile Fritsch</a></p></li>
<li><p>Fix clone of SGD objects by <a class="reference external" href="https://sites.google.com/site/peterprettenhofer/">Peter Prettenhofer</a></p></li>
<li><p>Stabilize GMM by <a class="reference external" href="https://github.com/VirgileFritsch">Virgile Fritsch</a></p></li>
</ul>
</section>
<section id="people">
<h3>People<a class="headerlink" href="#people" title="Link to this heading">#</a></h3>
<ul class="simple">
<li><p>14 <a class="reference external" href="https://sites.google.com/site/peterprettenhofer/">Peter Prettenhofer</a></p></li>
<li><p>12 <a class="reference external" href="http://gael-varoquaux.info">Gael Varoquaux</a></p></li>
<li><p>10 <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a></p></li>
<li><p>5 <a class="reference external" href="https://github.com/larsmans">Lars Buitinck</a></p></li>
<li><p>3 <a class="reference external" href="https://github.com/VirgileFritsch">Virgile Fritsch</a></p></li>
<li><p>1 <a class="reference external" href="http://alexandre.gramfort.net">Alexandre Gramfort</a></p></li>
<li><p>1 <a class="reference external" href="http://www.montefiore.ulg.ac.be/~glouppe/">Gilles Louppe</a></p></li>
<li><p>1 <a class="reference external" href="http://www.mblondel.org">Mathieu Blondel</a></p></li>
</ul>
</section>
</section>
<section id="version-0-12">
<span id="changes-0-12"></span><h2>Version 0.12<a class="headerlink" href="#version-0-12" title="Link to this heading">#</a></h2>
<p><strong>September 4, 2012</strong></p>
<section id="id1">
<h3>Changelog<a class="headerlink" href="#id1" title="Link to this heading">#</a></h3>
<ul class="simple">
<li><p>Various speed improvements of the <a class="reference internal" href="../modules/tree.html#tree"><span class="std std-ref">decision trees</span></a> module, by
<a class="reference external" href="http://www.montefiore.ulg.ac.be/~glouppe/">Gilles Louppe</a>.</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.GradientBoostingRegressor.html#sklearn.ensemble.GradientBoostingRegressor" title="sklearn.ensemble.GradientBoostingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">GradientBoostingRegressor</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.ensemble.GradientBoostingClassifier.html#sklearn.ensemble.GradientBoostingClassifier" title="sklearn.ensemble.GradientBoostingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">GradientBoostingClassifier</span></code></a> now support feature subsampling
via the <code class="docutils literal notranslate"><span class="pre">max_features</span></code> argument, by <a class="reference external" href="https://sites.google.com/site/peterprettenhofer/">Peter Prettenhofer</a>.</p></li>
<li><p>Added Huber and Quantile loss functions to
<a class="reference internal" href="../modules/generated/sklearn.ensemble.GradientBoostingRegressor.html#sklearn.ensemble.GradientBoostingRegressor" title="sklearn.ensemble.GradientBoostingRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">GradientBoostingRegressor</span></code></a>, by <a class="reference external" href="https://sites.google.com/site/peterprettenhofer/">Peter Prettenhofer</a>.</p></li>
<li><p><a class="reference internal" href="../modules/tree.html#tree"><span class="std std-ref">Decision trees</span></a> and <a class="reference internal" href="../modules/ensemble.html#forest"><span class="std std-ref">forests of randomized trees</span></a>
now support multi-output classification and regression problems, by
<a class="reference external" href="http://www.montefiore.ulg.ac.be/~glouppe/">Gilles Louppe</a>.</p></li>
<li><p>Added <a class="reference internal" href="../modules/generated/sklearn.preprocessing.LabelEncoder.html#sklearn.preprocessing.LabelEncoder" title="sklearn.preprocessing.LabelEncoder"><code class="xref py py-class docutils literal notranslate"><span class="pre">LabelEncoder</span></code></a>, a simple utility class to
normalize labels or transform non-numerical labels, by <a class="reference external" href="http://www.mblondel.org">Mathieu Blondel</a>.</p></li>
<li><p>Added the epsilon-insensitive loss and the ability to make probabilistic
predictions with the modified huber loss in <a class="reference internal" href="../modules/sgd.html#sgd"><span class="std std-ref">Stochastic Gradient Descent</span></a>, by
<a class="reference external" href="http://www.mblondel.org">Mathieu Blondel</a>.</p></li>
<li><p>Added <a class="reference internal" href="../modules/manifold.html#multidimensional-scaling"><span class="std std-ref">Multi-dimensional Scaling (MDS)</span></a>, by Nelle Varoquaux.</p></li>
<li><p>SVMlight file format loader now detects compressed (gzip/bzip2) files and
decompresses them on the fly, by <a class="reference external" href="https://github.com/larsmans">Lars Buitinck</a>.</p></li>
<li><p>SVMlight file format serializer now preserves double precision floating
point values, by <a class="reference external" href="https://twitter.com/ogrisel">Olivier Grisel</a>.</p></li>
<li><p>A common testing framework for all estimators was added, by <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a>.</p></li>
<li><p>Understandable error messages for estimators that do not accept
sparse input by <a class="reference external" href="http://gael-varoquaux.info">Gael Varoquaux</a></p></li>
<li><p>Speedups in hierarchical clustering by <a class="reference external" href="http://gael-varoquaux.info">Gael Varoquaux</a>. In
particular building the tree now supports early stopping. This is
useful when the number of clusters is not small compared to the
number of samples.</p></li>
<li><p>Add MultiTaskLasso and MultiTaskElasticNet for joint feature selection,
by <a class="reference external" href="http://alexandre.gramfort.net">Alexandre Gramfort</a>.</p></li>
<li><p>Added <code class="docutils literal notranslate"><span class="pre">metrics.auc_score</span></code> and
<a class="reference internal" href="../modules/generated/sklearn.metrics.average_precision_score.html#sklearn.metrics.average_precision_score" title="sklearn.metrics.average_precision_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.average_precision_score</span></code></a> convenience functions by <a class="reference external" href="https://amueller.github.io/">Andreas
Müller</a>.</p></li>
<li><p>Improved sparse matrix support in the <a class="reference internal" href="../modules/feature_selection.html#feature-selection"><span class="std std-ref">Feature selection</span></a>
module by <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a>.</p></li>
<li><p>New word boundaries-aware character n-gram analyzer for the
<a class="reference internal" href="../modules/feature_extraction.html#text-feature-extraction"><span class="std std-ref">Text feature extraction</span></a> module by <a class="reference external" href="https://github.com/kernc">@kernc</a>.</p></li>
<li><p>Fixed bug in spectral clustering that led to single point clusters
by <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a>.</p></li>
<li><p>In <a class="reference internal" href="../modules/generated/sklearn.feature_extraction.text.CountVectorizer.html#sklearn.feature_extraction.text.CountVectorizer" title="sklearn.feature_extraction.text.CountVectorizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">CountVectorizer</span></code></a>, added an option to
ignore infrequent words, <code class="docutils literal notranslate"><span class="pre">min_df</span></code> by <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a>.</p></li>
<li><p>Add support for multiple targets in some linear models (ElasticNet, Lasso
and OrthogonalMatchingPursuit) by <a class="reference external" href="https://vene.ro/">Vlad Niculae</a> and
<a class="reference external" href="http://alexandre.gramfort.net">Alexandre Gramfort</a>.</p></li>
<li><p>Fixes in <code class="docutils literal notranslate"><span class="pre">decomposition.ProbabilisticPCA</span></code> score function by Wei Li.</p></li>
<li><p>Fixed feature importance computation in
<a class="reference internal" href="../modules/ensemble.html#gradient-boosting"><span class="std std-ref">Gradient-boosted trees</span></a>.</p></li>
</ul>
</section>
<section id="api-changes-summary">
<h3>API changes summary<a class="headerlink" href="#api-changes-summary" title="Link to this heading">#</a></h3>
<ul class="simple">
<li><p>The old <code class="docutils literal notranslate"><span class="pre">scikits.learn</span></code> package has disappeared; all code should import
from <code class="docutils literal notranslate"><span class="pre">sklearn</span></code> instead, which was introduced in 0.9.</p></li>
<li><p>In <a class="reference internal" href="../modules/generated/sklearn.metrics.roc_curve.html#sklearn.metrics.roc_curve" title="sklearn.metrics.roc_curve"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.roc_curve</span></code></a>, the <code class="docutils literal notranslate"><span class="pre">thresholds</span></code> array is now returned
with it’s order reversed, in order to keep it consistent with the order
of the returned <code class="docutils literal notranslate"><span class="pre">fpr</span></code> and <code class="docutils literal notranslate"><span class="pre">tpr</span></code>.</p></li>
<li><p>In <code class="docutils literal notranslate"><span class="pre">hmm</span></code> objects, like <code class="docutils literal notranslate"><span class="pre">hmm.GaussianHMM</span></code>,
<code class="docutils literal notranslate"><span class="pre">hmm.MultinomialHMM</span></code>, etc., all parameters must be passed to the
object when initialising it and not through <code class="docutils literal notranslate"><span class="pre">fit</span></code>. Now <code class="docutils literal notranslate"><span class="pre">fit</span></code> will
only accept the data as an input parameter.</p></li>
<li><p>For all SVM classes, a faulty behavior of <code class="docutils literal notranslate"><span class="pre">gamma</span></code> was fixed. Previously,
the default gamma value was only computed the first time <code class="docutils literal notranslate"><span class="pre">fit</span></code> was called
and then stored. It is now recalculated on every call to <code class="docutils literal notranslate"><span class="pre">fit</span></code>.</p></li>
<li><p>All <code class="docutils literal notranslate"><span class="pre">Base</span></code> classes are now abstract meta classes so that they can not be
instantiated.</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.cluster.ward_tree.html#sklearn.cluster.ward_tree" title="sklearn.cluster.ward_tree"><code class="xref py py-func docutils literal notranslate"><span class="pre">cluster.ward_tree</span></code></a> now also returns the parent array. This is
necessary for early-stopping in which case the tree is not
completely built.</p></li>
<li><p>In <a class="reference internal" href="../modules/generated/sklearn.feature_extraction.text.CountVectorizer.html#sklearn.feature_extraction.text.CountVectorizer" title="sklearn.feature_extraction.text.CountVectorizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">CountVectorizer</span></code></a> the parameters
<code class="docutils literal notranslate"><span class="pre">min_n</span></code> and <code class="docutils literal notranslate"><span class="pre">max_n</span></code> were joined to the parameter <code class="docutils literal notranslate"><span class="pre">n_gram_range</span></code> to
enable grid-searching both at once.</p></li>
<li><p>In <a class="reference internal" href="../modules/generated/sklearn.feature_extraction.text.CountVectorizer.html#sklearn.feature_extraction.text.CountVectorizer" title="sklearn.feature_extraction.text.CountVectorizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">CountVectorizer</span></code></a>, words that appear
only in one document are now ignored by default. To reproduce
the previous behavior, set <code class="docutils literal notranslate"><span class="pre">min_df=1</span></code>.</p></li>
<li><p>Fixed API inconsistency: <a class="reference internal" href="../modules/generated/sklearn.linear_model.SGDClassifier.html#sklearn.linear_model.SGDClassifier.predict_proba" title="sklearn.linear_model.SGDClassifier.predict_proba"><code class="xref py py-meth docutils literal notranslate"><span class="pre">linear_model.SGDClassifier.predict_proba</span></code></a> now
returns 2d array when fit on two classes.</p></li>
<li><p>Fixed API inconsistency: <a class="reference internal" href="../modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis.html#sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis.decision_function" title="sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis.decision_function"><code class="xref py py-meth docutils literal notranslate"><span class="pre">discriminant_analysis.QuadraticDiscriminantAnalysis.decision_function</span></code></a>
and <a class="reference internal" href="../modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysis.html#sklearn.discriminant_analysis.LinearDiscriminantAnalysis.decision_function" title="sklearn.discriminant_analysis.LinearDiscriminantAnalysis.decision_function"><code class="xref py py-meth docutils literal notranslate"><span class="pre">discriminant_analysis.LinearDiscriminantAnalysis.decision_function</span></code></a> now return 1d arrays
when fit on two classes.</p></li>
<li><p>Grid of alphas used for fitting <a class="reference internal" href="../modules/generated/sklearn.linear_model.LassoCV.html#sklearn.linear_model.LassoCV" title="sklearn.linear_model.LassoCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">LassoCV</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.linear_model.ElasticNetCV.html#sklearn.linear_model.ElasticNetCV" title="sklearn.linear_model.ElasticNetCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">ElasticNetCV</span></code></a> is now stored
in the attribute <code class="docutils literal notranslate"><span class="pre">alphas_</span></code> rather than overriding the init parameter
<code class="docutils literal notranslate"><span class="pre">alphas</span></code>.</p></li>
<li><p>Linear models when alpha is estimated by cross-validation store
the estimated value in the <code class="docutils literal notranslate"><span class="pre">alpha_</span></code> attribute rather than just
<code class="docutils literal notranslate"><span class="pre">alpha</span></code> or <code class="docutils literal notranslate"><span class="pre">best_alpha</span></code>.</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.ensemble.GradientBoostingClassifier.html#sklearn.ensemble.GradientBoostingClassifier" title="sklearn.ensemble.GradientBoostingClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">GradientBoostingClassifier</span></code></a> now supports
<a class="reference internal" href="../modules/generated/sklearn.ensemble.GradientBoostingClassifier.html#sklearn.ensemble.GradientBoostingClassifier.staged_predict_proba" title="sklearn.ensemble.GradientBoostingClassifier.staged_predict_proba"><code class="xref py py-meth docutils literal notranslate"><span class="pre">staged_predict_proba</span></code></a>, and
<a class="reference internal" href="../modules/generated/sklearn.ensemble.GradientBoostingClassifier.html#sklearn.ensemble.GradientBoostingClassifier.staged_predict" title="sklearn.ensemble.GradientBoostingClassifier.staged_predict"><code class="xref py py-meth docutils literal notranslate"><span class="pre">staged_predict</span></code></a>.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">svm.sparse.SVC</span></code> and other sparse SVM classes are now deprecated.
The all classes in the <a class="reference internal" href="../modules/svm.html#svm"><span class="std std-ref">Support Vector Machines</span></a> module now automatically select the
sparse or dense representation base on the input.</p></li>
<li><p>All clustering algorithms now interpret the array <code class="docutils literal notranslate"><span class="pre">X</span></code> given to <code class="docutils literal notranslate"><span class="pre">fit</span></code> as
input data, in particular <a class="reference internal" href="../modules/generated/sklearn.cluster.SpectralClustering.html#sklearn.cluster.SpectralClustering" title="sklearn.cluster.SpectralClustering"><code class="xref py py-class docutils literal notranslate"><span class="pre">SpectralClustering</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.cluster.AffinityPropagation.html#sklearn.cluster.AffinityPropagation" title="sklearn.cluster.AffinityPropagation"><code class="xref py py-class docutils literal notranslate"><span class="pre">AffinityPropagation</span></code></a> which previously expected affinity matrices.</p></li>
<li><p>For clustering algorithms that take the desired number of clusters as a parameter,
this parameter is now called <code class="docutils literal notranslate"><span class="pre">n_clusters</span></code>.</p></li>
</ul>
</section>
<section id="id2">
<h3>People<a class="headerlink" href="#id2" title="Link to this heading">#</a></h3>
<ul class="simple">
<li><p>267 <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a></p></li>
<li><p>94 <a class="reference external" href="http://www.montefiore.ulg.ac.be/~glouppe/">Gilles Louppe</a></p></li>
<li><p>89 <a class="reference external" href="http://gael-varoquaux.info">Gael Varoquaux</a></p></li>
<li><p>79 <a class="reference external" href="https://sites.google.com/site/peterprettenhofer/">Peter Prettenhofer</a></p></li>
<li><p>60 <a class="reference external" href="http://www.mblondel.org">Mathieu Blondel</a></p></li>
<li><p>57 <a class="reference external" href="http://alexandre.gramfort.net">Alexandre Gramfort</a></p></li>
<li><p>52 <a class="reference external" href="https://vene.ro/">Vlad Niculae</a></p></li>
<li><p>45 <a class="reference external" href="https://github.com/larsmans">Lars Buitinck</a></p></li>
<li><p>44 Nelle Varoquaux</p></li>
<li><p>37 <a class="reference external" href="https://github.com/jaquesgrobler">Jaques Grobler</a></p></li>
<li><p>30 Alexis Mignon</p></li>
<li><p>30 Immanuel Bayer</p></li>
<li><p>27 <a class="reference external" href="https://twitter.com/ogrisel">Olivier Grisel</a></p></li>
<li><p>16 Subhodeep Moitra</p></li>
<li><p>13 Yannick Schwartz</p></li>
<li><p>12 <a class="reference external" href="https://github.com/kernc">@kernc</a></p></li>
<li><p>11 <a class="reference external" href="https://github.com/VirgileFritsch">Virgile Fritsch</a></p></li>
<li><p>9 Daniel Duckworth</p></li>
<li><p>9 <a class="reference external" href="http://fa.bianp.net">Fabian Pedregosa</a></p></li>
<li><p>9 <a class="reference external" href="https://twitter.com/robertlayton">Robert Layton</a></p></li>
<li><p>8 John Benediktsson</p></li>
<li><p>7 Marko Burjek</p></li>
<li><p>5 <a class="reference external" href="https://twitter.com/npinto">Nicolas Pinto</a></p></li>
<li><p>4 Alexandre Abraham</p></li>
<li><p>4 <a class="reference external" href="https://staff.washington.edu/jakevdp/">Jake Vanderplas</a></p></li>
<li><p>3 <a class="reference external" href="http://personal.ee.surrey.ac.uk/Personal/B.Holt">Brian Holt</a></p></li>
<li><p>3 <a class="reference external" href="https://duchesnay.github.io/">Edouard Duchesnay</a></p></li>
<li><p>3 Florian Hoenig</p></li>
<li><p>3 flyingimmidev</p></li>
<li><p>2 Francois Savard</p></li>
<li><p>2 Hannes Schulz</p></li>
<li><p>2 Peter Welinder</p></li>
<li><p>2 <a class="reference external" href="http://www.onerussian.com/">Yaroslav Halchenko</a></p></li>
<li><p>2 Wei Li</p></li>
<li><p>1 Alex Companioni</p></li>
<li><p>1 Brandyn A. White</p></li>
<li><p>1 Bussonnier Matthias</p></li>
<li><p>1 Charles-Pierre Astolfi</p></li>
<li><p>1 Dan O’Huiginn</p></li>
<li><p>1 David Cournapeau</p></li>
<li><p>1 Keith Goodman</p></li>
<li><p>1 Ludwig Schwardt</p></li>
<li><p>1 Olivier Hervieu</p></li>
<li><p>1 Sergio Medina</p></li>
<li><p>1 Shiqiao Du</p></li>
<li><p>1 Tim Sheerman-Chase</p></li>
<li><p>1 buguen</p></li>
</ul>
</section>
</section>
<section id="version-0-11">
<span id="changes-0-11"></span><h2>Version 0.11<a class="headerlink" href="#version-0-11" title="Link to this heading">#</a></h2>
<p><strong>May 7, 2012</strong></p>
<section id="id3">
<h3>Changelog<a class="headerlink" href="#id3" title="Link to this heading">#</a></h3>
<section id="highlights">
<h4>Highlights<a class="headerlink" href="#highlights" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p>Gradient boosted regression trees (<a class="reference internal" href="../modules/ensemble.html#gradient-boosting"><span class="std std-ref">Gradient-boosted trees</span></a>)
for classification and regression by <a class="reference external" href="https://sites.google.com/site/peterprettenhofer/">Peter Prettenhofer</a>
and <a class="reference external" href="https://twitter.com/scottblanc">Scott White</a> .</p></li>
<li><p>Simple dict-based feature loader with support for categorical variables
(<a class="reference internal" href="../modules/generated/sklearn.feature_extraction.DictVectorizer.html#sklearn.feature_extraction.DictVectorizer" title="sklearn.feature_extraction.DictVectorizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">DictVectorizer</span></code></a>) by <a class="reference external" href="https://github.com/larsmans">Lars Buitinck</a>.</p></li>
<li><p>Added Matthews correlation coefficient (<a class="reference internal" href="../modules/generated/sklearn.metrics.matthews_corrcoef.html#sklearn.metrics.matthews_corrcoef" title="sklearn.metrics.matthews_corrcoef"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.matthews_corrcoef</span></code></a>)
and added macro and micro average options to
<a class="reference internal" href="../modules/generated/sklearn.metrics.precision_score.html#sklearn.metrics.precision_score" title="sklearn.metrics.precision_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">precision_score</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.metrics.recall_score.html#sklearn.metrics.recall_score" title="sklearn.metrics.recall_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.recall_score</span></code></a> and
<a class="reference internal" href="../modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score" title="sklearn.metrics.f1_score"><code class="xref py py-func docutils literal notranslate"><span class="pre">f1_score</span></code></a> by <a class="reference external" href="https://www.mit.edu/~satra/">Satrajit Ghosh</a>.</p></li>
<li><p><a class="reference internal" href="../modules/grid_search.html#out-of-bag"><span class="std std-ref">Out of Bag Estimates</span></a> of generalization error for <a class="reference internal" href="../modules/ensemble.html#ensemble"><span class="std std-ref">Ensembles: Gradient boosting, random forests, bagging, voting, stacking</span></a>
by <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a>.</p></li>
<li><p>Randomized sparse linear models for feature
selection, by <a class="reference external" href="http://alexandre.gramfort.net">Alexandre Gramfort</a> and <a class="reference external" href="http://gael-varoquaux.info">Gael Varoquaux</a></p></li>
<li><p><a class="reference internal" href="../modules/semi_supervised.html#label-propagation"><span class="std std-ref">Label Propagation</span></a> for semi-supervised learning, by Clay
Woolam. <strong>Note</strong> the semi-supervised API is still work in progress,
and may change.</p></li>
<li><p>Added BIC/AIC model selection to classical <a class="reference internal" href="../modules/mixture.html#gmm"><span class="std std-ref">Gaussian mixture models</span></a> and unified
the API with the remainder of scikit-learn, by <a class="reference external" href="https://team.inria.fr/parietal/bertrand-thirions-page">Bertrand Thirion</a></p></li>
<li><p>Added <code class="docutils literal notranslate"><span class="pre">sklearn.cross_validation.StratifiedShuffleSplit</span></code>, which is
a <code class="docutils literal notranslate"><span class="pre">sklearn.cross_validation.ShuffleSplit</span></code> with balanced splits,
by Yannick Schwartz.</p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.neighbors.NearestCentroid.html#sklearn.neighbors.NearestCentroid" title="sklearn.neighbors.NearestCentroid"><code class="xref py py-class docutils literal notranslate"><span class="pre">NearestCentroid</span></code></a> classifier added, along with a
<code class="docutils literal notranslate"><span class="pre">shrink_threshold</span></code> parameter, which implements <strong>shrunken centroid
classification</strong>, by <a class="reference external" href="https://twitter.com/robertlayton">Robert Layton</a>.</p></li>
</ul>
</section>
<section id="other-changes">
<h4>Other changes<a class="headerlink" href="#other-changes" title="Link to this heading">#</a></h4>
<ul class="simple">
<li><p>Merged dense and sparse implementations of <a class="reference internal" href="../modules/sgd.html#sgd"><span class="std std-ref">Stochastic Gradient Descent</span></a> module and
exposed utility extension types for sequential
datasets <code class="docutils literal notranslate"><span class="pre">seq_dataset</span></code> and weight vectors <code class="docutils literal notranslate"><span class="pre">weight_vector</span></code>
by <a class="reference external" href="https://sites.google.com/site/peterprettenhofer/">Peter Prettenhofer</a>.</p></li>
<li><p>Added <code class="docutils literal notranslate"><span class="pre">partial_fit</span></code> (support for online/minibatch learning) and
warm_start to the <a class="reference internal" href="../modules/sgd.html#sgd"><span class="std std-ref">Stochastic Gradient Descent</span></a> module by <a class="reference external" href="http://www.mblondel.org">Mathieu Blondel</a>.</p></li>
<li><p>Dense and sparse implementations of <a class="reference internal" href="../modules/svm.html#svm"><span class="std std-ref">Support Vector Machines</span></a> classes and
<a class="reference internal" href="../modules/generated/sklearn.linear_model.LogisticRegression.html#sklearn.linear_model.LogisticRegression" title="sklearn.linear_model.LogisticRegression"><code class="xref py py-class docutils literal notranslate"><span class="pre">LogisticRegression</span></code></a> merged by <a class="reference external" href="https://github.com/larsmans">Lars Buitinck</a>.</p></li>
<li><p>Regressors can now be used as base estimator in the <a class="reference internal" href="../modules/multiclass.html#multiclass"><span class="std std-ref">Multiclass and multioutput algorithms</span></a>
module by <a class="reference external" href="http://www.mblondel.org">Mathieu Blondel</a>.</p></li>
<li><p>Added n_jobs option to <a class="reference internal" href="../modules/generated/sklearn.metrics.pairwise_distances.html#sklearn.metrics.pairwise_distances" title="sklearn.metrics.pairwise_distances"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.pairwise_distances</span></code></a>
and <a class="reference internal" href="../modules/generated/sklearn.metrics.pairwise.pairwise_kernels.html#sklearn.metrics.pairwise.pairwise_kernels" title="sklearn.metrics.pairwise.pairwise_kernels"><code class="xref py py-func docutils literal notranslate"><span class="pre">metrics.pairwise.pairwise_kernels</span></code></a> for parallel computation,
by <a class="reference external" href="http://www.mblondel.org">Mathieu Blondel</a>.</p></li>
<li><p><a class="reference internal" href="../modules/clustering.html#k-means"><span class="std std-ref">K-means</span></a> can now be run in parallel, using the <code class="docutils literal notranslate"><span class="pre">n_jobs</span></code> argument
to either <a class="reference internal" href="../modules/clustering.html#k-means"><span class="std std-ref">K-means</span></a> or <a class="reference internal" href="../modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans" title="sklearn.cluster.KMeans"><code class="xref py py-class docutils literal notranslate"><span class="pre">cluster.KMeans</span></code></a>, by <a class="reference external" href="https://twitter.com/robertlayton">Robert Layton</a>.</p></li>
<li><p>Improved <a class="reference internal" href="../modules/cross_validation.html#cross-validation"><span class="std std-ref">Cross-validation: evaluating estimator performance</span></a> and <a class="reference internal" href="../modules/grid_search.html#grid-search"><span class="std std-ref">Tuning the hyper-parameters of an estimator</span></a> documentation
and introduced the new <code class="docutils literal notranslate"><span class="pre">cross_validation.train_test_split</span></code>
helper function by <a class="reference external" href="https://twitter.com/ogrisel">Olivier Grisel</a></p></li>
<li><p><a class="reference internal" href="../modules/generated/sklearn.svm.SVC.html#sklearn.svm.SVC" title="sklearn.svm.SVC"><code class="xref py py-class docutils literal notranslate"><span class="pre">SVC</span></code></a> members <code class="docutils literal notranslate"><span class="pre">coef_</span></code> and <code class="docutils literal notranslate"><span class="pre">intercept_</span></code> changed sign for
consistency with <code class="docutils literal notranslate"><span class="pre">decision_function</span></code>; for <code class="docutils literal notranslate"><span class="pre">kernel==linear</span></code>,
<code class="docutils literal notranslate"><span class="pre">coef_</span></code> was fixed in the one-vs-one case, by <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a>.</p></li>
<li><p>Performance improvements to efficient leave-one-out cross-validated
Ridge regression, esp. for the <code class="docutils literal notranslate"><span class="pre">n_samples</span> <span class="pre">></span> <span class="pre">n_features</span></code> case, in
<a class="reference internal" href="../modules/generated/sklearn.linear_model.RidgeCV.html#sklearn.linear_model.RidgeCV" title="sklearn.linear_model.RidgeCV"><code class="xref py py-class docutils literal notranslate"><span class="pre">RidgeCV</span></code></a>, by Reuben Fletcher-Costin.</p></li>
<li><p>Refactoring and simplification of the <a class="reference internal" href="../modules/feature_extraction.html#text-feature-extraction"><span class="std std-ref">Text feature extraction</span></a>
API and fixed a bug that caused possible negative IDF,
by <a class="reference external" href="https://twitter.com/ogrisel">Olivier Grisel</a>.</p></li>
<li><p>Beam pruning option in <code class="docutils literal notranslate"><span class="pre">_BaseHMM</span></code> module has been removed since it
is difficult to Cythonize. If you are interested in contributing a Cython
version, you can use the python version in the git history as a reference.</p></li>
<li><p>Classes in <a class="reference internal" href="../modules/neighbors.html#neighbors"><span class="std std-ref">Nearest Neighbors</span></a> now support arbitrary Minkowski metric for
nearest neighbors searches. The metric can be specified by argument <code class="docutils literal notranslate"><span class="pre">p</span></code>.</p></li>
</ul>
</section>
</section>
<section id="id4">
<h3>API changes summary<a class="headerlink" href="#id4" title="Link to this heading">#</a></h3>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">covariance.EllipticEnvelop</span></code> is now deprecated.
Please use <a class="reference internal" href="../modules/generated/sklearn.covariance.EllipticEnvelope.html#sklearn.covariance.EllipticEnvelope" title="sklearn.covariance.EllipticEnvelope"><code class="xref py py-class docutils literal notranslate"><span class="pre">EllipticEnvelope</span></code></a> instead.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">NeighborsClassifier</span></code> and <code class="docutils literal notranslate"><span class="pre">NeighborsRegressor</span></code> are gone in the module
<a class="reference internal" href="../modules/neighbors.html#neighbors"><span class="std std-ref">Nearest Neighbors</span></a>. Use the classes <a class="reference internal" href="../modules/generated/sklearn.neighbors.KNeighborsClassifier.html#sklearn.neighbors.KNeighborsClassifier" title="sklearn.neighbors.KNeighborsClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">KNeighborsClassifier</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.html#sklearn.neighbors.RadiusNeighborsClassifier" title="sklearn.neighbors.RadiusNeighborsClassifier"><code class="xref py py-class docutils literal notranslate"><span class="pre">RadiusNeighborsClassifier</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.neighbors.KNeighborsRegressor.html#sklearn.neighbors.KNeighborsRegressor" title="sklearn.neighbors.KNeighborsRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">KNeighborsRegressor</span></code></a>
and/or <a class="reference internal" href="../modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html#sklearn.neighbors.RadiusNeighborsRegressor" title="sklearn.neighbors.RadiusNeighborsRegressor"><code class="xref py py-class docutils literal notranslate"><span class="pre">RadiusNeighborsRegressor</span></code></a> instead.</p></li>
<li><p>Sparse classes in the <a class="reference internal" href="../modules/sgd.html#sgd"><span class="std std-ref">Stochastic Gradient Descent</span></a> module are now deprecated.</p></li>
<li><p>In <code class="docutils literal notranslate"><span class="pre">mixture.GMM</span></code>, <code class="docutils literal notranslate"><span class="pre">mixture.DPGMM</span></code> and <code class="docutils literal notranslate"><span class="pre">mixture.VBGMM</span></code>,
parameters must be passed to an object when initialising it and not through
<code class="docutils literal notranslate"><span class="pre">fit</span></code>. Now <code class="docutils literal notranslate"><span class="pre">fit</span></code> will only accept the data as an input parameter.</p></li>
<li><p>methods <code class="docutils literal notranslate"><span class="pre">rvs</span></code> and <code class="docutils literal notranslate"><span class="pre">decode</span></code> in <code class="docutils literal notranslate"><span class="pre">GMM</span></code> module are now deprecated.
<code class="docutils literal notranslate"><span class="pre">sample</span></code> and <code class="docutils literal notranslate"><span class="pre">score</span></code> or <code class="docutils literal notranslate"><span class="pre">predict</span></code> should be used instead.</p></li>
<li><p>attribute <code class="docutils literal notranslate"><span class="pre">_scores</span></code> and <code class="docutils literal notranslate"><span class="pre">_pvalues</span></code> in univariate feature selection
objects are now deprecated.
<code class="docutils literal notranslate"><span class="pre">scores_</span></code> or <code class="docutils literal notranslate"><span class="pre">pvalues_</span></code> should be used instead.</p></li>
<li><p>In <a class="reference internal" href="../modules/generated/sklearn.linear_model.LogisticRegression.html#sklearn.linear_model.LogisticRegression" title="sklearn.linear_model.LogisticRegression"><code class="xref py py-class docutils literal notranslate"><span class="pre">LogisticRegression</span></code></a>, <a class="reference internal" href="../modules/generated/sklearn.svm.LinearSVC.html#sklearn.svm.LinearSVC" title="sklearn.svm.LinearSVC"><code class="xref py py-class docutils literal notranslate"><span class="pre">LinearSVC</span></code></a>,
<a class="reference internal" href="../modules/generated/sklearn.svm.SVC.html#sklearn.svm.SVC" title="sklearn.svm.SVC"><code class="xref py py-class docutils literal notranslate"><span class="pre">SVC</span></code></a> and <a class="reference internal" href="../modules/generated/sklearn.svm.NuSVC.html#sklearn.svm.NuSVC" title="sklearn.svm.NuSVC"><code class="xref py py-class docutils literal notranslate"><span class="pre">NuSVC</span></code></a>, the <code class="docutils literal notranslate"><span class="pre">class_weight</span></code> parameter is
now an initialization parameter, not a parameter to fit. This makes grid
searches over this parameter possible.</p></li>
<li><p>LFW <code class="docutils literal notranslate"><span class="pre">data</span></code> is now always shape <code class="docutils literal notranslate"><span class="pre">(n_samples,</span> <span class="pre">n_features)</span></code> to be
consistent with the Olivetti faces dataset. Use <code class="docutils literal notranslate"><span class="pre">images</span></code> and
<code class="docutils literal notranslate"><span class="pre">pairs</span></code> attribute to access the natural images shapes instead.</p></li>
<li><p>In <a class="reference internal" href="../modules/generated/sklearn.svm.LinearSVC.html#sklearn.svm.LinearSVC" title="sklearn.svm.LinearSVC"><code class="xref py py-class docutils literal notranslate"><span class="pre">LinearSVC</span></code></a>, the meaning of the <code class="docutils literal notranslate"><span class="pre">multi_class</span></code> parameter
changed. Options now are <code class="docutils literal notranslate"><span class="pre">'ovr'</span></code> and <code class="docutils literal notranslate"><span class="pre">'crammer_singer'</span></code>, with
<code class="docutils literal notranslate"><span class="pre">'ovr'</span></code> being the default. This does not change the default behavior
but hopefully is less confusing.</p></li>
<li><p>Class <code class="docutils literal notranslate"><span class="pre">feature_selection.text.Vectorizer</span></code> is deprecated and
replaced by <code class="docutils literal notranslate"><span class="pre">feature_selection.text.TfidfVectorizer</span></code>.</p></li>
<li><p>The preprocessor / analyzer nested structure for text feature
extraction has been removed. All those features are
now directly passed as flat constructor arguments
to <code class="docutils literal notranslate"><span class="pre">feature_selection.text.TfidfVectorizer</span></code> and
<code class="docutils literal notranslate"><span class="pre">feature_selection.text.CountVectorizer</span></code>, in particular the
following parameters are now used:</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">analyzer</span></code> can be <code class="docutils literal notranslate"><span class="pre">'word'</span></code> or <code class="docutils literal notranslate"><span class="pre">'char'</span></code> to switch the default
analysis scheme, or use a specific python callable (as previously).</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">tokenizer</span></code> and <code class="docutils literal notranslate"><span class="pre">preprocessor</span></code> have been introduced to make it
still possible to customize those steps with the new API.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">input</span></code> explicitly control how to interpret the sequence passed to
<code class="docutils literal notranslate"><span class="pre">fit</span></code> and <code class="docutils literal notranslate"><span class="pre">predict</span></code>: filenames, file objects or direct (byte or
Unicode) strings.</p></li>
<li><p>charset decoding is explicit and strict by default.</p></li>
<li><p>the <code class="docutils literal notranslate"><span class="pre">vocabulary</span></code>, fitted or not is now stored in the
<code class="docutils literal notranslate"><span class="pre">vocabulary_</span></code> attribute to be consistent with the project
conventions.</p></li>
<li><p>Class <code class="docutils literal notranslate"><span class="pre">feature_selection.text.TfidfVectorizer</span></code> now derives directly
from <code class="docutils literal notranslate"><span class="pre">feature_selection.text.CountVectorizer</span></code> to make grid
search trivial.</p></li>
<li><p>methods <code class="docutils literal notranslate"><span class="pre">rvs</span></code> in <code class="docutils literal notranslate"><span class="pre">_BaseHMM</span></code> module are now deprecated.
<code class="docutils literal notranslate"><span class="pre">sample</span></code> should be used instead.</p></li>
<li><p>Beam pruning option in <code class="docutils literal notranslate"><span class="pre">_BaseHMM</span></code> module is removed since it is
difficult to be Cythonized. If you are interested, you can look in the
history codes by git.</p></li>
<li><p>The SVMlight format loader now supports files with both zero-based and
one-based column indices, since both occur “in the wild”.</p></li>
<li><p>Arguments in class <a class="reference internal" href="../modules/generated/sklearn.model_selection.ShuffleSplit.html#sklearn.model_selection.ShuffleSplit" title="sklearn.model_selection.ShuffleSplit"><code class="xref py py-class docutils literal notranslate"><span class="pre">ShuffleSplit</span></code></a> are now consistent with
<a class="reference internal" href="../modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html#sklearn.model_selection.StratifiedShuffleSplit" title="sklearn.model_selection.StratifiedShuffleSplit"><code class="xref py py-class docutils literal notranslate"><span class="pre">StratifiedShuffleSplit</span></code></a>. Arguments <code class="docutils literal notranslate"><span class="pre">test_fraction</span></code> and
<code class="docutils literal notranslate"><span class="pre">train_fraction</span></code> are deprecated and renamed to <code class="docutils literal notranslate"><span class="pre">test_size</span></code> and
<code class="docutils literal notranslate"><span class="pre">train_size</span></code> and can accept both <code class="docutils literal notranslate"><span class="pre">float</span></code> and <code class="docutils literal notranslate"><span class="pre">int</span></code>.</p></li>
<li><p>Arguments in class <code class="docutils literal notranslate"><span class="pre">Bootstrap</span></code> are now consistent with
<a class="reference internal" href="../modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html#sklearn.model_selection.StratifiedShuffleSplit" title="sklearn.model_selection.StratifiedShuffleSplit"><code class="xref py py-class docutils literal notranslate"><span class="pre">StratifiedShuffleSplit</span></code></a>. Arguments <code class="docutils literal notranslate"><span class="pre">n_test</span></code> and
<code class="docutils literal notranslate"><span class="pre">n_train</span></code> are deprecated and renamed to <code class="docutils literal notranslate"><span class="pre">test_size</span></code> and
<code class="docutils literal notranslate"><span class="pre">train_size</span></code> and can accept both <code class="docutils literal notranslate"><span class="pre">float</span></code> and <code class="docutils literal notranslate"><span class="pre">int</span></code>.</p></li>
<li><p>Argument <code class="docutils literal notranslate"><span class="pre">p</span></code> added to classes in <a class="reference internal" href="../modules/neighbors.html#neighbors"><span class="std std-ref">Nearest Neighbors</span></a> to specify an
arbitrary Minkowski metric for nearest neighbors searches.</p></li>
</ul>
</section>
<section id="id5">
<h3>People<a class="headerlink" href="#id5" title="Link to this heading">#</a></h3>
<ul class="simple">
<li><p>282 <a class="reference external" href="https://amueller.github.io/">Andreas Müller</a></p></li>