-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathopendataval.dataval.html
903 lines (851 loc) · 83.3 KB
/
opendataval.dataval.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
<!doctype html>
<html class="no-js" lang="en" data-content_root="./">
<head><meta charset="utf-8"/>
<meta name="viewport" content="width=device-width,initial-scale=1"/>
<meta name="color-scheme" content="light dark"><meta name="viewport" content="width=device-width, initial-scale=1" />
<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="opendataval.dataval.ame package" href="opendataval.dataval.ame.html" /><link rel="prev" title="opendataval.dataloader.CatDataset" href="generated/opendataval.dataloader.CatDataset.html" />
<link rel="shortcut icon" href="_static/favicon.ico"/><!-- Generated with Sphinx 7.2.6 and Furo 2023.09.10 -->
<title>opendataval.dataval package - OpenDataVal documentation</title>
<link rel="stylesheet" type="text/css" href="_static/pygments.css?v=a746c00c" />
<link rel="stylesheet" type="text/css" href="_static/styles/furo.css?v=135e06be" />
<link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css?v=36a5483c" />
<style>
body {
--color-code-background: #f8f8f8;
--color-code-foreground: black;
}
@media not print {
body[data-theme="dark"] {
--color-code-background: #202020;
--color-code-foreground: #d0d0d0;
}
@media (prefers-color-scheme: dark) {
body:not([data-theme="light"]) {
--color-code-background: #202020;
--color-code-foreground: #d0d0d0;
}
}
}
</style></head>
<body>
<script>
document.body.dataset.theme = localStorage.getItem("theme") || "auto";
</script>
<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
<symbol id="svg-toc" viewBox="0 0 24 24">
<title>Contents</title>
<svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024">
<path d="M408 442h480c4.4 0 8-3.6 8-8v-56c0-4.4-3.6-8-8-8H408c-4.4 0-8 3.6-8 8v56c0 4.4 3.6 8 8 8zm-8 204c0 4.4 3.6 8 8 8h480c4.4 0 8-3.6 8-8v-56c0-4.4-3.6-8-8-8H408c-4.4 0-8 3.6-8 8v56zm504-486H120c-4.4 0-8 3.6-8 8v56c0 4.4 3.6 8 8 8h784c4.4 0 8-3.6 8-8v-56c0-4.4-3.6-8-8-8zm0 632H120c-4.4 0-8 3.6-8 8v56c0 4.4 3.6 8 8 8h784c4.4 0 8-3.6 8-8v-56c0-4.4-3.6-8-8-8zM115.4 518.9L271.7 642c5.8 4.6 14.4.5 14.4-6.9V388.9c0-7.4-8.5-11.5-14.4-6.9L115.4 505.1a8.74 8.74 0 0 0 0 13.8z"/>
</svg>
</symbol>
<symbol id="svg-menu" viewBox="0 0 24 24">
<title>Menu</title>
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor"
stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather-menu">
<line x1="3" y1="12" x2="21" y2="12"></line>
<line x1="3" y1="6" x2="21" y2="6"></line>
<line x1="3" y1="18" x2="21" y2="18"></line>
</svg>
</symbol>
<symbol id="svg-arrow-right" viewBox="0 0 24 24">
<title>Expand</title>
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor"
stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather-chevron-right">
<polyline points="9 18 15 12 9 6"></polyline>
</svg>
</symbol>
<symbol id="svg-sun" viewBox="0 0 24 24">
<title>Light mode</title>
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor"
stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="feather-sun">
<circle cx="12" cy="12" r="5"></circle>
<line x1="12" y1="1" x2="12" y2="3"></line>
<line x1="12" y1="21" x2="12" y2="23"></line>
<line x1="4.22" y1="4.22" x2="5.64" y2="5.64"></line>
<line x1="18.36" y1="18.36" x2="19.78" y2="19.78"></line>
<line x1="1" y1="12" x2="3" y2="12"></line>
<line x1="21" y1="12" x2="23" y2="12"></line>
<line x1="4.22" y1="19.78" x2="5.64" y2="18.36"></line>
<line x1="18.36" y1="5.64" x2="19.78" y2="4.22"></line>
</svg>
</symbol>
<symbol id="svg-moon" viewBox="0 0 24 24">
<title>Dark mode</title>
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor"
stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="icon-tabler-moon">
<path stroke="none" d="M0 0h24v24H0z" fill="none" />
<path d="M12 3c.132 0 .263 0 .393 0a7.5 7.5 0 0 0 7.92 12.446a9 9 0 1 1 -8.313 -12.454z" />
</svg>
</symbol>
<symbol id="svg-sun-half" viewBox="0 0 24 24">
<title>Auto light/dark mode</title>
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor"
stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="icon-tabler-shadow">
<path stroke="none" d="M0 0h24v24H0z" fill="none"/>
<circle cx="12" cy="12" r="9" />
<path d="M13 12h5" />
<path d="M13 15h4" />
<path d="M13 18h1" />
<path d="M13 9h4" />
<path d="M13 6h1" />
</svg>
</symbol>
</svg>
<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
<label class="overlay sidebar-overlay" for="__navigation">
<div class="visually-hidden">Hide navigation sidebar</div>
</label>
<label class="overlay toc-overlay" for="__toc">
<div class="visually-hidden">Hide table of contents sidebar</div>
</label>
<div class="page">
<header class="mobile-header">
<div class="header-left">
<label class="nav-overlay-icon" for="__navigation">
<div class="visually-hidden">Toggle site navigation sidebar</div>
<i class="icon"><svg><use href="#svg-menu"></use></svg></i>
</label>
</div>
<div class="header-center">
<a href="index.html"><div class="brand">OpenDataVal documentation</div></a>
</div>
<div class="header-right">
<div class="theme-toggle-container theme-toggle-header">
<button class="theme-toggle">
<div class="visually-hidden">Toggle Light / Dark / Auto color theme</div>
<svg class="theme-icon-when-auto"><use href="#svg-sun-half"></use></svg>
<svg class="theme-icon-when-dark"><use href="#svg-moon"></use></svg>
<svg class="theme-icon-when-light"><use href="#svg-sun"></use></svg>
</button>
</div>
<label class="toc-overlay-icon toc-header-icon" for="__toc">
<div class="visually-hidden">Toggle table of contents sidebar</div>
<i class="icon"><svg><use href="#svg-toc"></use></svg></i>
</label>
</div>
</header>
<aside class="sidebar-drawer">
<div class="sidebar-container">
<div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
<div class="sidebar-logo-container">
<img class="sidebar-logo only-light" src="_static/logo-light-mode.png" alt="Light Logo"/>
<img class="sidebar-logo only-dark" src="_static/logo-dark-mode.png" alt="Dark Logo"/>
</div>
<span class="sidebar-brand-text">OpenDataVal documentation</span>
</a><form class="sidebar-search-container" method="get" action="search.html" role="search">
<input class="sidebar-search" placeholder="Search" name="q" aria-label="Search">
<input type="hidden" name="check_keywords" value="yes">
<input type="hidden" name="area" value="default">
</form>
<div id="searchbox"></div><div class="sidebar-scroll"><div class="sidebar-tree">
<ul class="current">
<li class="toctree-l1 current has-children"><a class="reference internal" href="modules.html">modules</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of modules</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
<li class="toctree-l2 current has-children"><a class="reference internal" href="opendataval.html">opendataval package</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" role="switch" type="checkbox"/><label for="toctree-checkbox-2"><div class="visually-hidden">Toggle navigation of opendataval package</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
<li class="toctree-l3 has-children"><a class="reference internal" href="opendataval.dataloader.html">opendataval.dataloader package</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" role="switch" type="checkbox"/><label for="toctree-checkbox-3"><div class="visually-hidden">Toggle navigation of opendataval.dataloader package</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l4 has-children"><a class="reference internal" href="opendataval.dataloader.datasets.html">opendataval.dataloader.datasets package</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" role="switch" type="checkbox"/><label for="toctree-checkbox-4"><div class="visually-hidden">Toggle navigation of opendataval.dataloader.datasets package</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l5"><a class="reference internal" href="generated/opendataval.dataloader.datasets.datasets.html">opendataval.dataloader.datasets.datasets</a></li>
<li class="toctree-l5"><a class="reference internal" href="generated/opendataval.dataloader.datasets.imagesets.html">opendataval.dataloader.datasets.imagesets</a></li>
<li class="toctree-l5"><a class="reference internal" href="generated/opendataval.dataloader.datasets.nlpsets.html">opendataval.dataloader.datasets.nlpsets</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataloader.Register.html">opendataval.dataloader.Register</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataloader.DataFetcher.html">opendataval.dataloader.DataFetcher</a></li>
<li class="toctree-l4 has-children"><a class="reference internal" href="generated/opendataval.dataloader.datasets.html">opendataval.dataloader.datasets</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" role="switch" type="checkbox"/><label for="toctree-checkbox-5"><div class="visually-hidden">Toggle navigation of opendataval.dataloader.datasets</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l5"><a class="reference internal" href="generated/generated/opendataval.dataloader.datasets.datasets.html">opendataval.dataloader.datasets.datasets</a></li>
<li class="toctree-l5"><a class="reference internal" href="generated/generated/opendataval.dataloader.datasets.imagesets.html">opendataval.dataloader.datasets.imagesets</a></li>
<li class="toctree-l5"><a class="reference internal" href="generated/generated/opendataval.dataloader.datasets.nlpsets.html">opendataval.dataloader.datasets.nlpsets</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataloader.cache.html">opendataval.dataloader.cache</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataloader.mix_labels.html">opendataval.dataloader.mix_labels</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataloader.one_hot_encode.html">opendataval.dataloader.one_hot_encode</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataloader.CatDataset.html">opendataval.dataloader.CatDataset</a></li>
</ul>
</li>
<li class="toctree-l3 current has-children current-page"><a class="current reference internal" href="#">opendataval.dataval package</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" role="switch" type="checkbox"/><label for="toctree-checkbox-6"><div class="visually-hidden">Toggle navigation of opendataval.dataval package</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l4"><a class="reference internal" href="opendataval.dataval.ame.html">opendataval.dataval.ame package</a></li>
<li class="toctree-l4"><a class="reference internal" href="opendataval.dataval.csshap.html">opendataval.dataval.csshap package</a></li>
<li class="toctree-l4"><a class="reference internal" href="opendataval.dataval.dvrl.html">opendataval.dataval.dvrl package</a></li>
<li class="toctree-l4"><a class="reference internal" href="opendataval.dataval.influence.html">opendataval.dataval.influence package</a></li>
<li class="toctree-l4"><a class="reference internal" href="opendataval.dataval.knnshap.html">opendataval.dataval.knnshap package</a></li>
<li class="toctree-l4"><a class="reference internal" href="opendataval.dataval.lava.html">opendataval.dataval.lava package</a></li>
<li class="toctree-l4"><a class="reference internal" href="opendataval.dataval.margcontrib.html">opendataval.dataval.margcontrib package</a></li>
<li class="toctree-l4"><a class="reference internal" href="opendataval.dataval.oob.html">opendataval.dataval.oob package</a></li>
<li class="toctree-l4"><a class="reference internal" href="opendataval.dataval.random.html">opendataval.dataval.random package</a></li>
<li class="toctree-l4"><a class="reference internal" href="opendataval.dataval.volume.html">opendataval.dataval.volume package</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.DataEvaluator.html">opendataval.dataval.DataEvaluator</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.ModelMixin.html">opendataval.dataval.ModelMixin</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.ModelLessMixin.html">opendataval.dataval.ModelLessMixin</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.AME.html">opendataval.dataval.AME</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.DVRL.html">opendataval.dataval.DVRL</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.InfluenceFunction.html">opendataval.dataval.InfluenceFunction</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.InfluenceSubsample.html">opendataval.dataval.InfluenceSubsample</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.KNNShapley.html">opendataval.dataval.KNNShapley</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.DataOob.html">opendataval.dataval.DataOob</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.DataBanzhaf.html">opendataval.dataval.DataBanzhaf</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.BetaShapley.html">opendataval.dataval.BetaShapley</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.DataShapley.html">opendataval.dataval.DataShapley</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.LavaEvaluator.html">opendataval.dataval.LavaEvaluator</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.LeaveOneOut.html">opendataval.dataval.LeaveOneOut</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.ShapEvaluator.html">opendataval.dataval.ShapEvaluator</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.RandomEvaluator.html">opendataval.dataval.RandomEvaluator</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.RobustVolumeShapley.html">opendataval.dataval.RobustVolumeShapley</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.Sampler.html">opendataval.dataval.Sampler</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.TMCSampler.html">opendataval.dataval.TMCSampler</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.dataval.GrTMCSampler.html">opendataval.dataval.GrTMCSampler</a></li>
</ul>
</li>
<li class="toctree-l3 has-children"><a class="reference internal" href="opendataval.experiment.html">opendataval.experiment package</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" role="switch" type="checkbox"/><label for="toctree-checkbox-7"><div class="visually-hidden">Toggle navigation of opendataval.experiment package</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.experiment.ExperimentMediator.html">opendataval.experiment.ExperimentMediator</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.experiment.exper_methods.html">opendataval.experiment.exper_methods</a></li>
</ul>
</li>
<li class="toctree-l3 has-children"><a class="reference internal" href="opendataval.model.html">opendataval.model package</a><input class="toctree-checkbox" id="toctree-checkbox-8" name="toctree-checkbox-8" role="switch" type="checkbox"/><label for="toctree-checkbox-8"><div class="visually-hidden">Toggle navigation of opendataval.model package</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.model.Model.html">opendataval.model.Model</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.model.GradientModel.html">opendataval.model.GradientModel</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.model.ModelFactory.html">opendataval.model.ModelFactory</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.model.TorchClassMixin.html">opendataval.model.TorchClassMixin</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.model.TorchRegressMixin.html">opendataval.model.TorchRegressMixin</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.model.TorchPredictMixin.html">opendataval.model.TorchPredictMixin</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.model.TorchGradMixin.html">opendataval.model.TorchGradMixin</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.model.ClassifierSkLearnWrapper.html">opendataval.model.ClassifierSkLearnWrapper</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.model.ClassifierUnweightedSkLearnWrapper.html">opendataval.model.ClassifierUnweightedSkLearnWrapper</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/opendataval.model.RegressionSkLearnWrapper.html">opendataval.model.RegressionSkLearnWrapper</a></li>
</ul>
</li>
<li class="toctree-l3 has-children"><a class="reference internal" href="generated/opendataval.dataloader.html">opendataval.dataloader</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of opendataval.dataloader</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataloader.Register.html">opendataval.dataloader.Register</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataloader.DataFetcher.html">opendataval.dataloader.DataFetcher</a></li>
<li class="toctree-l4 has-children"><a class="reference internal" href="generated/generated/opendataval.dataloader.datasets.html">opendataval.dataloader.datasets</a><input class="toctree-checkbox" id="toctree-checkbox-10" name="toctree-checkbox-10" role="switch" type="checkbox"/><label for="toctree-checkbox-10"><div class="visually-hidden">Toggle navigation of opendataval.dataloader.datasets</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l5"><a class="reference internal" href="generated/generated/generated/opendataval.dataloader.datasets.datasets.html">opendataval.dataloader.datasets.datasets</a></li>
<li class="toctree-l5"><a class="reference internal" href="generated/generated/generated/opendataval.dataloader.datasets.imagesets.html">opendataval.dataloader.datasets.imagesets</a></li>
<li class="toctree-l5"><a class="reference internal" href="generated/generated/generated/opendataval.dataloader.datasets.nlpsets.html">opendataval.dataloader.datasets.nlpsets</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataloader.cache.html">opendataval.dataloader.cache</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataloader.mix_labels.html">opendataval.dataloader.mix_labels</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataloader.one_hot_encode.html">opendataval.dataloader.one_hot_encode</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataloader.CatDataset.html">opendataval.dataloader.CatDataset</a></li>
</ul>
</li>
<li class="toctree-l3 has-children"><a class="reference internal" href="generated/opendataval.dataval.html">opendataval.dataval</a><input class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" role="switch" type="checkbox"/><label for="toctree-checkbox-11"><div class="visually-hidden">Toggle navigation of opendataval.dataval</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.DataEvaluator.html">opendataval.dataval.DataEvaluator</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.ModelMixin.html">opendataval.dataval.ModelMixin</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.ModelLessMixin.html">opendataval.dataval.ModelLessMixin</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.AME.html">opendataval.dataval.AME</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.DVRL.html">opendataval.dataval.DVRL</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.InfluenceFunction.html">opendataval.dataval.InfluenceFunction</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.InfluenceSubsample.html">opendataval.dataval.InfluenceSubsample</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.KNNShapley.html">opendataval.dataval.KNNShapley</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.DataOob.html">opendataval.dataval.DataOob</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.DataBanzhaf.html">opendataval.dataval.DataBanzhaf</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.BetaShapley.html">opendataval.dataval.BetaShapley</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.DataShapley.html">opendataval.dataval.DataShapley</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.LavaEvaluator.html">opendataval.dataval.LavaEvaluator</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.LeaveOneOut.html">opendataval.dataval.LeaveOneOut</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.ShapEvaluator.html">opendataval.dataval.ShapEvaluator</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.RandomEvaluator.html">opendataval.dataval.RandomEvaluator</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.RobustVolumeShapley.html">opendataval.dataval.RobustVolumeShapley</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.Sampler.html">opendataval.dataval.Sampler</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.TMCSampler.html">opendataval.dataval.TMCSampler</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.dataval.GrTMCSampler.html">opendataval.dataval.GrTMCSampler</a></li>
</ul>
</li>
<li class="toctree-l3 has-children"><a class="reference internal" href="generated/opendataval.model.html">opendataval.model</a><input class="toctree-checkbox" id="toctree-checkbox-12" name="toctree-checkbox-12" role="switch" type="checkbox"/><label for="toctree-checkbox-12"><div class="visually-hidden">Toggle navigation of opendataval.model</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.model.Model.html">opendataval.model.Model</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.model.GradientModel.html">opendataval.model.GradientModel</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.model.ModelFactory.html">opendataval.model.ModelFactory</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.model.TorchClassMixin.html">opendataval.model.TorchClassMixin</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.model.TorchRegressMixin.html">opendataval.model.TorchRegressMixin</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.model.TorchPredictMixin.html">opendataval.model.TorchPredictMixin</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.model.TorchGradMixin.html">opendataval.model.TorchGradMixin</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.model.ClassifierSkLearnWrapper.html">opendataval.model.ClassifierSkLearnWrapper</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.model.ClassifierUnweightedSkLearnWrapper.html">opendataval.model.ClassifierUnweightedSkLearnWrapper</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.model.RegressionSkLearnWrapper.html">opendataval.model.RegressionSkLearnWrapper</a></li>
</ul>
</li>
<li class="toctree-l3 has-children"><a class="reference internal" href="generated/opendataval.experiment.html">opendataval.experiment</a><input class="toctree-checkbox" id="toctree-checkbox-13" name="toctree-checkbox-13" role="switch" type="checkbox"/><label for="toctree-checkbox-13"><div class="visually-hidden">Toggle navigation of opendataval.experiment</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.experiment.ExperimentMediator.html">opendataval.experiment.ExperimentMediator</a></li>
<li class="toctree-l4"><a class="reference internal" href="generated/generated/opendataval.experiment.exper_methods.html">opendataval.experiment.exper_methods</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="generated/opendataval.util.set_random_state.html">opendataval.util.set_random_state</a></li>
<li class="toctree-l3"><a class="reference internal" href="generated/opendataval.util.load_mediator_output.html">opendataval.util.load_mediator_output</a></li>
<li class="toctree-l3"><a class="reference internal" href="generated/opendataval.__version__.html">opendataval.__version__</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="leaderboards.html">leaderboards</a></li>
<li class="toctree-l1"><a class="reference internal" href="license.html">license</a></li>
<li class="toctree-l1"><a class="reference internal" href="paper.html">paper</a></li>
</ul>
</div>
</div>
</div>
</div>
</aside>
<div class="main">
<div class="content">
<div class="article-container">
<a href="#" class="back-to-top muted-link">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24">
<path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8v12z"></path>
</svg>
<span>Back to top</span>
</a>
<div class="content-icon-container">
<div class="theme-toggle-container theme-toggle-content">
<button class="theme-toggle">
<div class="visually-hidden">Toggle Light / Dark / Auto color theme</div>
<svg class="theme-icon-when-auto"><use href="#svg-sun-half"></use></svg>
<svg class="theme-icon-when-dark"><use href="#svg-moon"></use></svg>
<svg class="theme-icon-when-light"><use href="#svg-sun"></use></svg>
</button>
</div>
<label class="toc-overlay-icon toc-content-icon" for="__toc">
<div class="visually-hidden">Toggle table of contents sidebar</div>
<i class="icon"><svg><use href="#svg-toc"></use></svg></i>
</label>
</div>
<article role="main">
<section id="opendataval-dataval-package">
<h1>opendataval.dataval package<a class="headerlink" href="#opendataval-dataval-package" title="Link to this heading">#</a></h1>
<section id="subpackages">
<h2>Subpackages<a class="headerlink" href="#subpackages" title="Link to this heading">#</a></h2>
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="opendataval.dataval.ame.html">opendataval.dataval.ame package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.ame.html#submodules">Submodules</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.ame.html#module-opendataval.dataval.ame.ame">opendataval.dataval.ame.ame module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.ame.html#module-opendataval.dataval.ame">Module contents</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="opendataval.dataval.csshap.html">opendataval.dataval.csshap package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.csshap.html#submodules">Submodules</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.csshap.html#module-opendataval.dataval.csshap.csshap">opendataval.dataval.csshap.csshap module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.csshap.html#module-opendataval.dataval.csshap">Module contents</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="opendataval.dataval.dvrl.html">opendataval.dataval.dvrl package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.dvrl.html#submodules">Submodules</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.dvrl.html#module-opendataval.dataval.dvrl.dvrl">opendataval.dataval.dvrl.dvrl module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.dvrl.html#module-opendataval.dataval.dvrl">Module contents</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="opendataval.dataval.influence.html">opendataval.dataval.influence package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.influence.html#submodules">Submodules</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.influence.html#module-opendataval.dataval.influence.influence">opendataval.dataval.influence.influence module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.influence.html#module-opendataval.dataval.influence.infsub">opendataval.dataval.influence.infsub module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.influence.html#module-opendataval.dataval.influence">Module contents</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="opendataval.dataval.knnshap.html">opendataval.dataval.knnshap package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.knnshap.html#submodules">Submodules</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.knnshap.html#module-opendataval.dataval.knnshap.knnshap">opendataval.dataval.knnshap.knnshap module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.knnshap.html#module-opendataval.dataval.knnshap">Module contents</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="opendataval.dataval.lava.html">opendataval.dataval.lava package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.lava.html#submodules">Submodules</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.lava.html#module-opendataval.dataval.lava.lava">opendataval.dataval.lava.lava module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.lava.html#module-opendataval.dataval.lava.otdd">opendataval.dataval.lava.otdd module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.lava.html#module-opendataval.dataval.lava">Module contents</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="opendataval.dataval.margcontrib.html">opendataval.dataval.margcontrib package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.margcontrib.html#submodules">Submodules</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.margcontrib.html#module-opendataval.dataval.margcontrib.banzhaf">opendataval.dataval.margcontrib.banzhaf module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.margcontrib.html#module-opendataval.dataval.margcontrib.betashap">opendataval.dataval.margcontrib.betashap module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.margcontrib.html#module-opendataval.dataval.margcontrib.datashap">opendataval.dataval.margcontrib.datashap module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.margcontrib.html#module-opendataval.dataval.margcontrib.loo">opendataval.dataval.margcontrib.loo module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.margcontrib.html#module-opendataval.dataval.margcontrib.sampler">opendataval.dataval.margcontrib.sampler module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.margcontrib.html#module-opendataval.dataval.margcontrib.shap">opendataval.dataval.margcontrib.shap module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.margcontrib.html#module-opendataval.dataval.margcontrib">Module contents</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="opendataval.dataval.oob.html">opendataval.dataval.oob package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.oob.html#submodules">Submodules</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.oob.html#module-opendataval.dataval.oob.oob">opendataval.dataval.oob.oob module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.oob.html#module-opendataval.dataval.oob">Module contents</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="opendataval.dataval.random.html">opendataval.dataval.random package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.random.html#submodules">Submodules</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.random.html#module-opendataval.dataval.random.random">opendataval.dataval.random.random module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.random.html#module-opendataval.dataval.random">Module contents</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="opendataval.dataval.volume.html">opendataval.dataval.volume package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.volume.html#submodules">Submodules</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.volume.html#module-opendataval.dataval.volume.rvs">opendataval.dataval.volume.rvs module</a></li>
<li class="toctree-l2"><a class="reference internal" href="opendataval.dataval.volume.html#module-opendataval.dataval.volume">Module contents</a></li>
</ul>
</li>
</ul>
</div>
</section>
<section id="submodules">
<h2>Submodules<a class="headerlink" href="#submodules" title="Link to this heading">#</a></h2>
</section>
<section id="module-opendataval.dataval.api">
<span id="opendataval-dataval-api-module"></span><h2>opendataval.dataval.api module<a class="headerlink" href="#module-opendataval.dataval.api" title="Link to this heading">#</a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="opendataval.dataval.api.DataEvaluator">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">opendataval.dataval.api.</span></span><span class="sig-name descname"><span class="pre">DataEvaluator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#opendataval.dataval.api.DataEvaluator" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">ABC</span></code>, <a class="reference internal" href="opendataval.html#opendataval.util.ReprMixin" title="opendataval.util.ReprMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">ReprMixin</span></code></a></p>
<p>Abstract class of Data Evaluators. Facilitates Data Evaluation computation.</p>
<p>The following is an example of how the api would work:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">dataval</span> <span class="o">=</span> <span class="p">(</span>
<span class="n">DataEvaluator</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="o">.</span><span class="n">input_data</span><span class="p">(</span><span class="n">x_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">x_valid</span><span class="p">,</span> <span class="n">y_valid</span><span class="p">)</span>
<span class="o">.</span><span class="n">train_data_values</span><span class="p">(</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">epochs</span><span class="p">)</span>
<span class="o">.</span><span class="n">evaluate_data_values</span><span class="p">()</span>
<span class="p">)</span>
</pre></div>
</div>
<section id="parameters">
<h3>Parameters<a class="headerlink" href="#parameters" title="Link to this heading">#</a></h3>
<dl class="simple">
<dt>random_state<span class="classifier">RandomState, optional</span></dt><dd><p>Random initial state, by default None</p>
</dd>
<dt>args<span class="classifier">tuple[Any]</span></dt><dd><p>DavaEvaluator positional arguments</p>
</dd>
<dt>kwargs<span class="classifier">Dict[str, Any]</span></dt><dd><p>DavaEvaluator key word arguments</p>
</dd>
</dl>
</section>
<section id="attributes">
<h3>Attributes<a class="headerlink" href="#attributes" title="Link to this heading">#</a></h3>
<dl class="simple">
<dt>pred_model<span class="classifier">Model</span></dt><dd><p>Prediction model to find how much each training datum contributes towards it.</p>
</dd>
<dt>data_values: np.array</dt><dd><p>Cached data values, used by <a class="reference internal" href="opendataval.experiment.html#module-opendataval.experiment.exper_methods" title="opendataval.experiment.exper_methods"><code class="xref py py-mod docutils literal notranslate"><span class="pre">opendataval.experiment.exper_methods</span></code></a></p>
</dd>
</dl>
<dl class="py attribute">
<dt class="sig sig-object py" id="opendataval.dataval.api.DataEvaluator.Evaluators">
<span class="sig-name descname"><span class="pre">Evaluators</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">ClassVar</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Self</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">{'ame':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.ame.ame.AME'>,</span> <span class="pre">'baggingevaluator':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.ame.ame.BaggingEvaluator'>,</span> <span class="pre">'betashapley':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.margcontrib.betashap.BetaShapley'>,</span> <span class="pre">'classwiseshapley':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.csshap.csshap.ClassWiseShapley'>,</span> <span class="pre">'databanzhaf':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.margcontrib.banzhaf.DataBanzhaf'>,</span> <span class="pre">'databanzhafmargcontrib':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.margcontrib.banzhaf.DataBanzhafMargContrib'>,</span> <span class="pre">'dataoob':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.oob.oob.DataOob'>,</span> <span class="pre">'datashapley':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.margcontrib.datashap.DataShapley'>,</span> <span class="pre">'dvrl':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.dvrl.dvrl.DVRL'>,</span> <span class="pre">'influencefunction':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.influence.influence.InfluenceFunction'>,</span> <span class="pre">'influencesubsample':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.influence.infsub.InfluenceSubsample'>,</span> <span class="pre">'knnshapley':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.knnshap.knnshap.KNNShapley'>,</span> <span class="pre">'lavaevaluator':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.lava.lava.LavaEvaluator'>,</span> <span class="pre">'leaveoneout':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.margcontrib.loo.LeaveOneOut'>,</span> <span class="pre">'randomevaluator':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.random.random.RandomEvaluator'>,</span> <span class="pre">'robustvolumeshapley':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.volume.rvs.RobustVolumeShapley'>,</span> <span class="pre">'shapevaluator':</span> <span class="pre"><class</span> <span class="pre">'opendataval.dataval.margcontrib.shap.ShapEvaluator'>}</span></em><a class="headerlink" href="#opendataval.dataval.api.DataEvaluator.Evaluators" title="Link to this definition">#</a></dt>
<dd></dd></dl>
<dl class="py property">
<dt class="sig sig-object py" id="opendataval.dataval.api.DataEvaluator.data_values">
<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data_values</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">ndarray</span></em><a class="headerlink" href="#opendataval.dataval.api.DataEvaluator.data_values" title="Link to this definition">#</a></dt>
<dd><p>Cached data values.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.api.DataEvaluator.evaluate_data_values">
<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">evaluate_data_values</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">ndarray</span></span></span><a class="headerlink" href="#opendataval.dataval.api.DataEvaluator.evaluate_data_values" title="Link to this definition">#</a></dt>
<dd><p>Return data values for each training data point.</p>
<section id="returns">
<h4>Returns<a class="headerlink" href="#returns" title="Link to this heading">#</a></h4>
<dl class="simple">
<dt>np.ndarray</dt><dd><p>Predicted data values/selection for training input data point</p>
</dd>
</dl>
</section>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.api.DataEvaluator.input_data">
<span class="sig-name descname"><span class="pre">input_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_train</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_train</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_valid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Dataset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_valid</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tensor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#opendataval.dataval.api.DataEvaluator.input_data" title="Link to this definition">#</a></dt>
<dd><p>Store and transform input data for DataEvaluator.</p>
<section id="id1">
<h4>Parameters<a class="headerlink" href="#id1" title="Link to this heading">#</a></h4>
<dl class="simple">
<dt>x_train<span class="classifier">torch.Tensor</span></dt><dd><p>Data covariates</p>
</dd>
<dt>y_train<span class="classifier">torch.Tensor</span></dt><dd><p>Data labels</p>
</dd>
<dt>x_valid<span class="classifier">torch.Tensor</span></dt><dd><p>Test+Held-out covariates</p>
</dd>
<dt>y_valid<span class="classifier">torch.Tensor</span></dt><dd><p>Test+Held-out labels</p>
</dd>
</dl>
</section>
<section id="id2">
<h4>Returns<a class="headerlink" href="#id2" title="Link to this heading">#</a></h4>
<dl class="simple">
<dt>self<span class="classifier">object</span></dt><dd><p>Returns a Data Evaluator.</p>
</dd>
</dl>
</section>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.api.DataEvaluator.input_fetcher">
<span class="sig-name descname"><span class="pre">input_fetcher</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fetcher</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="opendataval.dataloader.html#opendataval.dataloader.fetcher.DataFetcher" title="opendataval.dataloader.fetcher.DataFetcher"><span class="pre">DataFetcher</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#opendataval.dataval.api.DataEvaluator.input_fetcher" title="Link to this definition">#</a></dt>
<dd><p>Input data from a DataFetcher object. Alternative way of adding data.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.api.DataEvaluator.setup">
<span class="sig-name descname"><span class="pre">setup</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fetcher</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="opendataval.dataloader.html#opendataval.dataloader.fetcher.DataFetcher" title="opendataval.dataloader.fetcher.DataFetcher"><span class="pre">DataFetcher</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pred_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="opendataval.model.html#opendataval.model.api.Model" title="opendataval.model.api.Model"><span class="pre">Model</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#opendataval.dataval.api.DataEvaluator.setup" title="Link to this definition">#</a></dt>
<dd><p>Inputs model, metric and data into Data Evaluator.</p>
<section id="id3">
<h4>Parameters<a class="headerlink" href="#id3" title="Link to this heading">#</a></h4>
<dl class="simple">
<dt>fetcher<span class="classifier">DataFetcher</span></dt><dd><p>DataFetcher containing the training and validation data set.</p>
</dd>
<dt>pred_model<span class="classifier">Model, optional</span></dt><dd><p>Prediction model, not required if the DataFetcher is Model less</p>
</dd>
<dt>metric<span class="classifier">Callable[[torch.Tensor, torch.Tensor], float]</span></dt><dd><p>Evaluation function to determine prediction model performance,
by default None and assigns either -MSE or ACC depending if categorical</p>
</dd>
<dt>args<span class="classifier">tuple[Any], optional</span></dt><dd><p>Training positional args</p>
</dd>
<dt>kwargs<span class="classifier">dict[str, Any], optional</span></dt><dd><p>Training key word arguments</p>
</dd>
</dl>
</section>
<section id="id4">
<h4>Returns<a class="headerlink" href="#id4" title="Link to this heading">#</a></h4>
<dl class="simple">
<dt>self<span class="classifier">object</span></dt><dd><p>Returns a Data Evaluator.</p>
</dd>
</dl>
</section>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.api.DataEvaluator.train">
<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fetcher</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="opendataval.dataloader.html#opendataval.dataloader.fetcher.DataFetcher" title="opendataval.dataloader.fetcher.DataFetcher"><span class="pre">DataFetcher</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pred_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="opendataval.model.html#opendataval.model.api.Model" title="opendataval.model.api.Model"><span class="pre">Model</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#opendataval.dataval.api.DataEvaluator.train" title="Link to this definition">#</a></dt>
<dd><p>Store and transform data, then train model to predict data values.</p>
<p>Trains the Data Evaluator and the underlying prediction model. Wrapper for
<code class="docutils literal notranslate"><span class="pre">self.input_data</span></code> and <code class="docutils literal notranslate"><span class="pre">self.train_data_values</span></code> under one method.</p>
<section id="id5">
<h4>Parameters<a class="headerlink" href="#id5" title="Link to this heading">#</a></h4>
<dl class="simple">
<dt>fetcher<span class="classifier">DataFetcher</span></dt><dd><p>DataFetcher containing the training and validation data set.</p>
</dd>
<dt>pred_model<span class="classifier">Model, optional</span></dt><dd><p>Prediction model, not required if the DataFetcher is Model less</p>
</dd>
<dt>metric<span class="classifier">Callable[[torch.Tensor, torch.Tensor], float]</span></dt><dd><p>Evaluation function to determine prediction model performance,
by default None and assigns either -MSE or ACC depending if categorical</p>
</dd>
<dt>args<span class="classifier">tuple[Any], optional</span></dt><dd><p>Training positional args</p>
</dd>
<dt>kwargs<span class="classifier">dict[str, Any], optional</span></dt><dd><p>Training key word arguments</p>
</dd>
</dl>
</section>
<section id="id6">
<h4>Returns<a class="headerlink" href="#id6" title="Link to this heading">#</a></h4>
<dl class="simple">
<dt>self<span class="classifier">object</span></dt><dd><p>Returns a Data Evaluator.</p>
</dd>
</dl>
</section>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.api.DataEvaluator.train_data_values">
<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">train_data_values</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#opendataval.dataval.api.DataEvaluator.train_data_values" title="Link to this definition">#</a></dt>
<dd><p>Trains model to predict data values.</p>
<section id="id7">
<h4>Parameters<a class="headerlink" href="#id7" title="Link to this heading">#</a></h4>
<dl class="simple">
<dt>args<span class="classifier">tuple[Any], optional</span></dt><dd><p>Training positional args</p>
</dd>
<dt>kwargs<span class="classifier">dict[str, Any], optional</span></dt><dd><p>Training key word arguments</p>
</dd>
</dl>
</section>
<section id="id8">
<h4>Returns<a class="headerlink" href="#id8" title="Link to this heading">#</a></h4>
<dl class="simple">
<dt>self<span class="classifier">object</span></dt><dd><p>Returns a trained Data Evaluator.</p>
</dd>
</dl>
</section>
</dd></dl>
</section>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="opendataval.dataval.api.ModelLessMixin">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">opendataval.dataval.api.</span></span><span class="sig-name descname"><span class="pre">ModelLessMixin</span></span><a class="headerlink" href="#opendataval.dataval.api.ModelLessMixin" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
<p>Mixin for DataEvaluators without a prediction model and use embeddings.</p>
<p>Using embeddings and then predictiong the data values has been used by
Ruoxi Jia Group with their KNN Shapley and LAVA data evaluators.</p>
<section id="references">
<h3>References<a class="headerlink" href="#references" title="Link to this heading">#</a></h3>
<aside class="footnote-list brackets">
<aside class="footnote brackets" id="id9" role="doc-footnote">
<span class="label"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></span>
<p>R. Jia et al.,
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms,
arXiv.org, 2019. Available: <a class="reference external" href="https://arxiv.org/abs/1908.08619">https://arxiv.org/abs/1908.08619</a>.</p>
</aside>
</aside>
</section>
<section id="id10">
<h3>Attributes<a class="headerlink" href="#id10" title="Link to this heading">#</a></h3>
<dl class="simple">
<dt>embedding_model<span class="classifier">Model</span></dt><dd><p>Embedding model used by model-less DataEvaluator to compute the data values for
the embeddings and not the raw input.</p>
</dd>
<dt>pred_model<span class="classifier">Model</span></dt><dd><p>The pred_model is unused for training, but to compare a series of models on
the same algorithim, we compare against a shared prediction algorithim.</p>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.api.ModelLessMixin.embeddings">
<span class="sig-name descname"><span class="pre">embeddings</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Dataset</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#opendataval.dataval.api.ModelLessMixin.embeddings" title="Link to this definition">#</a></dt>
<dd><p>Returns Embeddings for the input tensors</p>
<section id="id11">
<h4>Returns<a class="headerlink" href="#id11" title="Link to this heading">#</a></h4>
<dl class="simple">
<dt>tuple[torch.Tensor, …]</dt><dd><p>Returns tupple of tensors equal to the number of tensors input</p>
</dd>
</dl>
</section>
</dd></dl>
</section>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="opendataval.dataval.api.ModelMixin">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">opendataval.dataval.api.</span></span><span class="sig-name descname"><span class="pre">ModelMixin</span></span><a class="headerlink" href="#opendataval.dataval.api.ModelMixin" title="Link to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.api.ModelMixin.evaluate">
<span class="sig-name descname"><span class="pre">evaluate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_hat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tensor</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#opendataval.dataval.api.ModelMixin.evaluate" title="Link to this definition">#</a></dt>
<dd><p>Evaluate performance of the specified metric between label and predictions.</p>
<p>Moves input tensors to cpu because of certain bugs/errors that arise when the
tensors are not on the same device</p>
<section id="id12">
<h3>Parameters<a class="headerlink" href="#id12" title="Link to this heading">#</a></h3>
<dl class="simple">
<dt>y<span class="classifier">torch.Tensor</span></dt><dd><p>Labels to be evaluate performance of predictions</p>
</dd>
<dt>y_hat<span class="classifier">torch.Tensor</span></dt><dd><p>Predictions of labels</p>
</dd>
</dl>
</section>
<section id="id13">
<h3>Returns<a class="headerlink" href="#id13" title="Link to this heading">#</a></h3>
<dl class="simple">
<dt>float</dt><dd><p>Performance metric</p>
</dd>
</dl>
</section>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.api.ModelMixin.input_metric">
<span class="sig-name descname"><span class="pre">input_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#opendataval.dataval.api.ModelMixin.input_metric" title="Link to this definition">#</a></dt>
<dd><p>Input the evaluation metric.</p>
<section id="id14">
<h3>Parameters<a class="headerlink" href="#id14" title="Link to this heading">#</a></h3>
<dl class="simple">
<dt>metric<span class="classifier">Callable[[torch.Tensor, torch.Tensor], float]</span></dt><dd><p>Evaluation function to determine prediction model performance</p>
</dd>
</dl>
</section>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.api.ModelMixin.input_model">
<span class="sig-name descname"><span class="pre">input_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pred_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="opendataval.model.html#opendataval.model.api.Model" title="opendataval.model.api.Model"><span class="pre">Model</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#opendataval.dataval.api.ModelMixin.input_model" title="Link to this definition">#</a></dt>
<dd><p>Input the prediction model.</p>
<section id="id15">
<h3>Parameters<a class="headerlink" href="#id15" title="Link to this heading">#</a></h3>
<dl class="simple">
<dt>pred_model<span class="classifier">Model</span></dt><dd><p>Prediction model</p>
</dd>
</dl>
</section>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="opendataval.dataval.api.ModelMixin.input_model_metric">
<span class="sig-name descname"><span class="pre">input_model_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pred_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="opendataval.model.html#opendataval.model.api.Model" title="opendataval.model.api.Model"><span class="pre">Model</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#opendataval.dataval.api.ModelMixin.input_model_metric" title="Link to this definition">#</a></dt>
<dd><p>Input the prediction model and the evaluation metric.</p>
<section id="id16">
<h3>Parameters<a class="headerlink" href="#id16" title="Link to this heading">#</a></h3>
<dl class="simple">
<dt>pred_model<span class="classifier">Model</span></dt><dd><p>Prediction model</p>
</dd>
<dt>metric<span class="classifier">Callable[[torch.Tensor, torch.Tensor], float]</span></dt><dd><p>Evaluation function to determine prediction model performance</p>
</dd>
</dl>
</section>
<section id="id17">
<h3>Returns<a class="headerlink" href="#id17" title="Link to this heading">#</a></h3>
<dl class="simple">
<dt>self<span class="classifier">object</span></dt><dd><p>Returns a Data Evaluator.</p>
</dd>
</dl>
</section>
</dd></dl>
</dd></dl>
</section>
<section id="module-opendataval.dataval">
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-opendataval.dataval" title="Link to this heading">#</a></h2>
<p>Create <a class="reference internal" href="generated/opendataval.dataval.DataEvaluator.html#opendataval.dataval.DataEvaluator" title="opendataval.dataval.DataEvaluator"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataEvaluator</span></code></a> to quantify the value of data.</p>
<section id="data-evaluator">
<h3>Data Evaluator<a class="headerlink" href="#data-evaluator" title="Link to this heading">#</a></h3>
<p>Provides an ABC for DataEvaluator to inherit from. The work flow is as follows:
<a class="reference internal" href="generated/opendataval.dataloader.Register.html#opendataval.dataloader.Register" title="opendataval.dataloader.Register"><code class="xref py py-class docutils literal notranslate"><span class="pre">Register</span></code></a>,
<a class="reference internal" href="generated/opendataval.dataloader.DataFetcher.html#opendataval.dataloader.DataFetcher" title="opendataval.dataloader.DataFetcher"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFetcher</span></code></a>
-> <a class="reference internal" href="generated/opendataval.dataval.DataEvaluator.html#opendataval.dataval.DataEvaluator" title="opendataval.dataval.DataEvaluator"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataEvaluator</span></code></a>
-> <a class="reference internal" href="opendataval.experiment.html#module-opendataval.experiment.exper_methods" title="opendataval.experiment.exper_methods"><code class="xref py py-mod docutils literal notranslate"><span class="pre">exper_methods</span></code></a></p>
<section id="catalog">
<h4>Catalog<a class="headerlink" href="#catalog" title="Link to this heading">#</a></h4>
<div class="table-wrapper autosummary longtable docutils container">
<table class="autosummary longtable docutils align-default">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/opendataval.dataval.DataEvaluator.html#opendataval.dataval.DataEvaluator" title="opendataval.dataval.DataEvaluator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataEvaluator</span></code></a>(*args, **kwargs)</p></td>
<td><p>Abstract class of Data Evaluators.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/opendataval.dataval.ModelMixin.html#opendataval.dataval.ModelMixin" title="opendataval.dataval.ModelMixin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ModelMixin</span></code></a>()</p></td>
<td><p></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/opendataval.dataval.ModelLessMixin.html#opendataval.dataval.ModelLessMixin" title="opendataval.dataval.ModelLessMixin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ModelLessMixin</span></code></a>()</p></td>
<td><p>Mixin for DataEvaluators without a prediction model and use embeddings.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/opendataval.dataval.AME.html#opendataval.dataval.AME" title="opendataval.dataval.AME"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AME</span></code></a>(*args, **kwargs)</p></td>
<td><p>Implementation of Average Marginal Effect Data Valuation.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/opendataval.dataval.DVRL.html#opendataval.dataval.DVRL" title="opendataval.dataval.DVRL"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DVRL</span></code></a>(*args, **kwargs)</p></td>
<td><p>Data valuation using reinforcement learning class, implemented with PyTorch.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/opendataval.dataval.InfluenceFunction.html#opendataval.dataval.InfluenceFunction" title="opendataval.dataval.InfluenceFunction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">InfluenceFunction</span></code></a>(*args, **kwargs)</p></td>
<td><p>Influence Function Data evaluation implementation.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/opendataval.dataval.InfluenceSubsample.html#opendataval.dataval.InfluenceSubsample" title="opendataval.dataval.InfluenceSubsample"><code class="xref py py-obj docutils literal notranslate"><span class="pre">InfluenceSubsample</span></code></a>(*args, **kwargs)</p></td>
<td><p>Influence computed through subsamples implementation.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/opendataval.dataval.KNNShapley.html#opendataval.dataval.KNNShapley" title="opendataval.dataval.KNNShapley"><code class="xref py py-obj docutils literal notranslate"><span class="pre">KNNShapley</span></code></a>(*args, **kwargs)</p></td>
<td><p>Data valuation using KNNShapley implementation.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/opendataval.dataval.DataOob.html#opendataval.dataval.DataOob" title="opendataval.dataval.DataOob"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataOob</span></code></a>(*args, **kwargs)</p></td>
<td><p>Data Out-of-Bag data valuation implementation.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/opendataval.dataval.DataBanzhaf.html#opendataval.dataval.DataBanzhaf" title="opendataval.dataval.DataBanzhaf"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataBanzhaf</span></code></a>(*args, **kwargs)</p></td>
<td><p>Data Banzhaf implementation.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/opendataval.dataval.BetaShapley.html#opendataval.dataval.BetaShapley" title="opendataval.dataval.BetaShapley"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BetaShapley</span></code></a>(*args, **kwargs)</p></td>
<td><p>Beta Shapley implementation.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/opendataval.dataval.DataShapley.html#opendataval.dataval.DataShapley" title="opendataval.dataval.DataShapley"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataShapley</span></code></a>(*args, **kwargs)</p></td>
<td><p>Data Shapley implementation.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/opendataval.dataval.LavaEvaluator.html#opendataval.dataval.LavaEvaluator" title="opendataval.dataval.LavaEvaluator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LavaEvaluator</span></code></a>(*args, **kwargs)</p></td>
<td><p>Data valuation using LAVA implementation.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/opendataval.dataval.LeaveOneOut.html#opendataval.dataval.LeaveOneOut" title="opendataval.dataval.LeaveOneOut"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LeaveOneOut</span></code></a>(*args, **kwargs)</p></td>
<td><p>Leave One Out data valuation implementation.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/opendataval.dataval.ShapEvaluator.html#opendataval.dataval.ShapEvaluator" title="opendataval.dataval.ShapEvaluator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ShapEvaluator</span></code></a>(*args, **kwargs)</p></td>
<td><p>Abstract class for all semivalue-based methods of computing data values.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/opendataval.dataval.RandomEvaluator.html#opendataval.dataval.RandomEvaluator" title="opendataval.dataval.RandomEvaluator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RandomEvaluator</span></code></a>(*args, **kwargs)</p></td>
<td><p>Completely Random DataEvaluator for baseline comparison purposes.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/opendataval.dataval.RobustVolumeShapley.html#opendataval.dataval.RobustVolumeShapley" title="opendataval.dataval.RobustVolumeShapley"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RobustVolumeShapley</span></code></a>(*args, **kwargs)</p></td>
<td><p>Robust Volume Shapley and Volume Shapley data valuation implementation.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/opendataval.dataval.Sampler.html#opendataval.dataval.Sampler" title="opendataval.dataval.Sampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Sampler</span></code></a>(*args, **kwargs)</p></td>
<td><p>Abstract Sampler class for marginal contribution based data evaluators.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/opendataval.dataval.TMCSampler.html#opendataval.dataval.TMCSampler" title="opendataval.dataval.TMCSampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TMCSampler</span></code></a>(*args, **kwargs)</p></td>
<td><p>TMCShapley sampler for semivalue-based methods of computing data values.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/opendataval.dataval.GrTMCSampler.html#opendataval.dataval.GrTMCSampler" title="opendataval.dataval.GrTMCSampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GrTMCSampler</span></code></a>(*args, **kwargs)</p></td>
<td><p>TMC Sampler with terminator for semivalue-based methods of computing data values.</p></td>
</tr>
</tbody>
</table>
</div>
</section>
</section>
</section>
</section>
</article>
</div>
<footer>
<div class="related-pages">
<a class="next-page" href="opendataval.dataval.ame.html">
<div class="page-info">
<div class="context">
<span>Next</span>
</div>
<div class="title">opendataval.dataval.ame package</div>
</div>
<svg class="furo-related-icon"><use href="#svg-arrow-right"></use></svg>
</a>
<a class="prev-page" href="generated/opendataval.dataloader.CatDataset.html">
<svg class="furo-related-icon"><use href="#svg-arrow-right"></use></svg>
<div class="page-info">
<div class="context">
<span>Previous</span>
</div>
<div class="title">opendataval.dataloader.CatDataset</div>
</div>
</a>
</div>
<div class="bottom-of-page">
<div class="left-details">
<div class="copyright">
Copyright © 2023, OpenDataVal
</div>
Made with <a href="https://www.sphinx-doc.org/">Sphinx</a> and <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
<a href="https://github.com/pradyunsg/furo">Furo</a>
</div>
<div class="right-details">
</div>
</div>
</footer>
</div>
<aside class="toc-drawer">
<div class="toc-sticky toc-scroll">
<div class="toc-title-container">
<span class="toc-title">
On this page
</span>
</div>
<div class="toc-tree-container">
<div class="toc-tree">
<ul>
<li><a class="reference internal" href="#">opendataval.dataval package</a><ul>
<li><a class="reference internal" href="#subpackages">Subpackages</a></li>
<li><a class="reference internal" href="#submodules">Submodules</a></li>
<li><a class="reference internal" href="#module-opendataval.dataval.api">opendataval.dataval.api module</a><ul>
<li><a class="reference internal" href="#opendataval.dataval.api.DataEvaluator"><code class="docutils literal notranslate"><span class="pre">DataEvaluator</span></code></a><ul>
<li><a class="reference internal" href="#opendataval.dataval.api.DataEvaluator.Evaluators"><code class="docutils literal notranslate"><span class="pre">DataEvaluator.Evaluators</span></code></a></li>
<li><a class="reference internal" href="#opendataval.dataval.api.DataEvaluator.data_values"><code class="docutils literal notranslate"><span class="pre">DataEvaluator.data_values</span></code></a></li>
<li><a class="reference internal" href="#opendataval.dataval.api.DataEvaluator.evaluate_data_values"><code class="docutils literal notranslate"><span class="pre">DataEvaluator.evaluate_data_values()</span></code></a></li>
<li><a class="reference internal" href="#opendataval.dataval.api.DataEvaluator.input_data"><code class="docutils literal notranslate"><span class="pre">DataEvaluator.input_data()</span></code></a></li>
<li><a class="reference internal" href="#opendataval.dataval.api.DataEvaluator.input_fetcher"><code class="docutils literal notranslate"><span class="pre">DataEvaluator.input_fetcher()</span></code></a></li>
<li><a class="reference internal" href="#opendataval.dataval.api.DataEvaluator.setup"><code class="docutils literal notranslate"><span class="pre">DataEvaluator.setup()</span></code></a></li>
<li><a class="reference internal" href="#opendataval.dataval.api.DataEvaluator.train"><code class="docutils literal notranslate"><span class="pre">DataEvaluator.train()</span></code></a></li>
<li><a class="reference internal" href="#opendataval.dataval.api.DataEvaluator.train_data_values"><code class="docutils literal notranslate"><span class="pre">DataEvaluator.train_data_values()</span></code></a></li>
</ul>
</li>
<li><a class="reference internal" href="#opendataval.dataval.api.ModelLessMixin"><code class="docutils literal notranslate"><span class="pre">ModelLessMixin</span></code></a><ul>
<li><a class="reference internal" href="#opendataval.dataval.api.ModelLessMixin.embeddings"><code class="docutils literal notranslate"><span class="pre">ModelLessMixin.embeddings()</span></code></a></li>
</ul>
</li>
<li><a class="reference internal" href="#opendataval.dataval.api.ModelMixin"><code class="docutils literal notranslate"><span class="pre">ModelMixin</span></code></a><ul>
<li><a class="reference internal" href="#opendataval.dataval.api.ModelMixin.evaluate"><code class="docutils literal notranslate"><span class="pre">ModelMixin.evaluate()</span></code></a></li>
<li><a class="reference internal" href="#opendataval.dataval.api.ModelMixin.input_metric"><code class="docutils literal notranslate"><span class="pre">ModelMixin.input_metric()</span></code></a></li>
<li><a class="reference internal" href="#opendataval.dataval.api.ModelMixin.input_model"><code class="docutils literal notranslate"><span class="pre">ModelMixin.input_model()</span></code></a></li>
<li><a class="reference internal" href="#opendataval.dataval.api.ModelMixin.input_model_metric"><code class="docutils literal notranslate"><span class="pre">ModelMixin.input_model_metric()</span></code></a></li>
</ul>
</li>
</ul>
</li>
<li><a class="reference internal" href="#module-opendataval.dataval">Module contents</a><ul>
<li><a class="reference internal" href="#data-evaluator">Data Evaluator</a><ul>
<li><a class="reference internal" href="#catalog">Catalog</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
</ul>
</div>
</div>
</div>
</aside>
</div>
</div><script src="_static/documentation_options.js?v=7f41d439"></script>
<script src="_static/doctools.js?v=888ff710"></script>
<script src="_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="_static/scripts/furo.js?v=32e29ea5"></script>
</body>
</html>