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27 October 2021, 08:20:37 UTC
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5fdad06 Av Shrikumar20 October 2021, 09:20:58 UTCUpdated to work with current Colab default env20 October 2021, 09:20:58 UTC
76cd4a0 Av Shrikumar14 December 2020, 21:48:47 UTCMerge pull request #3 from annashcherbina/master reverting change that seems u nnecesary14 December 2020, 21:48:47 UTC
a9de67b anna shcherbina12 December 2020, 07:11:04 UTCreverting change that seems u nnecesary12 December 2020, 07:11:04 UTC
276bb8c Av Shrikumar11 September 2020, 06:47:01 UTCConsistency between tf1 and tf2 sessions11 September 2020, 06:47:01 UTC
0fa4416 Av Shrikumar11 September 2020, 06:42:24 UTCMerge pull request #2 from annashcherbina/master tf 2.0 compatibility11 September 2020, 06:42:24 UTC
f101117 anna shcherbina11 September 2020, 06:32:39 UTCmore compat stuff11 September 2020, 06:32:39 UTC
95d0208 anna shcherbina11 September 2020, 06:28:12 UTCcompatibility w/ v1 & v211 September 2020, 06:28:12 UTC
34488eb anna shcherbina11 September 2020, 04:47:30 UTCpreserving session = keras.backend.get_session() for v111 September 2020, 04:47:30 UTC
e952c80 anna shcherbina11 September 2020, 01:18:51 UTCupdated for back-comp w/ v111 September 2020, 01:18:51 UTC
2eacfd1 anna shcherbina10 September 2020, 23:59:22 UTCcleanup10 September 2020, 23:59:22 UTC
4b4baf9 anna shcherbina10 September 2020, 23:51:14 UTCcompatibility w/ tf 2.010 September 2020, 23:51:14 UTC
cc4a223 Av Shrikumar05 August 2020, 19:10:53 UTCMerge pull request #1 from atseng95/master Bugfixes and documentation for PyTorch explainer05 August 2020, 19:10:53 UTC
253d464 Alex Tseng28 January 2020, 02:01:59 UTCBugfixes and documentation for PyTorch explainer - Explain in documentation that explained output tensor must be shaped B x 1, with B being batch dimension - Add support for progress updates - Backpropagation retains graph for needed future computation28 January 2020, 02:01:59 UTC
277e549 AvantiShri17 October 2019, 19:31:06 UTCprogress update support17 October 2019, 19:31:06 UTC
5b98248 AvantiShri24 August 2019, 23:24:35 UTCadded Log24 August 2019, 23:24:35 UTC
5ab70f0 Anon13 August 2019, 21:02:51 UTCfixed to use logit of sigmoid rather than post-sigmoid output13 August 2019, 21:02:51 UTC
246fc03 Avanti Shrikumar04 July 2019, 20:09:30 UTCadded more comments to the notebooks04 July 2019, 20:09:30 UTC
0b0350b Avanti Shrikumar03 July 2019, 22:07:16 UTCgot a pytorch example evidently behaving03 July 2019, 22:07:16 UTC
d666672 Avanti Shrikumar03 July 2019, 01:36:37 UTCfixed the shuffling03 July 2019, 01:36:37 UTC
97a558e Avanti Shrikumar03 July 2019, 01:36:15 UTCnothing much changed here03 July 2019, 01:36:15 UTC
1630de9 Avanti Shrikumar03 July 2019, 00:33:26 UTCadded a warning in case there's an op that isn't in op_handlers03 July 2019, 00:33:26 UTC
e14f65b Avanti Shrikumar03 July 2019, 00:33:05 UTCwrote code for making data a callable03 July 2019, 00:33:05 UTC
4243b3a Avanti Shrikumar02 July 2019, 21:23:09 UTCmanaged to get nonzero explanations for DeepSEA02 July 2019, 21:23:09 UTC
f9f8440 Avanti Shrikumar02 July 2019, 21:22:31 UTCmanaged to get explanations for DeepSEA02 July 2019, 21:22:31 UTC
45d8175 Avanti Shrikumar02 July 2019, 21:11:49 UTCmodified code to use grads returned on the actual values rather than grads returned on the references, for better default behaviour02 July 2019, 21:11:49 UTC
537f62a Avanti Shrikumar02 July 2019, 17:45:58 UTCMerge branch 'master' of https://github.com/AvantiShri/shap02 July 2019, 17:45:58 UTC
bdeec8a Avanti Shrikumar25 June 2019, 23:44:56 UTCAdded hypothetical imp core calc25 June 2019, 23:44:56 UTC
41c4a7a Scott Lundberg22 June 2019, 21:10:31 UTCMerge pull request #656 from gabrieltseng/pytorch/cuda_to_cpu PyTorch Deep Explainer: Make sure everything is on the same device22 June 2019, 21:10:31 UTC
ed8caaf Gabriel Tseng21 June 2019, 22:11:39 UTCMake sure the model, background and test data are all on the same device21 June 2019, 22:11:39 UTC
ca7863d Scott Lundberg19 June 2019, 23:57:28 UTCDrop py35 from appveyor since matplotlib has dropped it19 June 2019, 23:57:28 UTC
aa2846d Scott Lundberg19 June 2019, 23:40:38 UTCFix #63619 June 2019, 23:40:38 UTC
9d764e2 Scott Lundberg19 June 2019, 21:18:48 UTCFix len issue19 June 2019, 21:18:48 UTC
f616f76 Scott Lundberg19 June 2019, 21:06:35 UTCPartly fix #652 This fixes the issue where the expected_value can be wrapped in a 1-element array before calling shap_values for TreeExplainer19 June 2019, 21:06:35 UTC
b105147 Scott Lundberg19 June 2019, 20:30:42 UTCFix monitoring plot issue19 June 2019, 20:30:42 UTC
4efc638 Scott Lundberg19 June 2019, 20:20:13 UTCFix API change in tensorflow that effects DeepExplainer Related to #324 and fixes #49619 June 2019, 20:20:13 UTC
849e50d Scott Lundberg19 June 2019, 20:18:01 UTCSupprese warning for tqdm in the notebook19 June 2019, 20:18:01 UTC
1af5f52 Scott Lundberg19 June 2019, 00:24:02 UTCAdd Python 2 warning19 June 2019, 00:24:02 UTC
7fe414d Scott Lundberg18 June 2019, 16:26:40 UTCMerge pull request #650 from slundberg/fix-649 Correctly handle different summary_plot types for multi-output explanations18 June 2019, 16:26:40 UTC
26b06db Scott Lundberg18 June 2019, 16:26:13 UTCMerge pull request #643 from nasir-bhanpuri/patch-1 Fix sklearn GradientBoostingRegressor bug18 June 2019, 16:26:13 UTC
05aa606 Scott Lundberg18 June 2019, 16:25:11 UTCMerge pull request #645 from imatiach-msft/ilmat/linear-sparse adding sparse support to shap linear explainer18 June 2019, 16:25:11 UTC
0d4b499 Scott Lundberg18 June 2019, 15:47:29 UTCFix 64918 June 2019, 15:47:29 UTC
dc309d1 Ilya Matiach13 June 2019, 21:36:22 UTCadding sparse support to shap linear explainer14 June 2019, 15:32:33 UTC
062a3ed nasir-bhanpuri12 June 2019, 20:28:33 UTCFix sklearn GradientBoostingRegressor bug if to elif12 June 2019, 20:28:33 UTC
9866ae7 Scott Lundberg07 June 2019, 16:42:14 UTCMerge pull request #609 from gabrieltseng/pytorch/improvements Add Adaptive Average Pooling and Transposed Convolutions to the Pytorch Deep Explainer07 June 2019, 16:42:14 UTC
7269d02 Scott Lundberg07 June 2019, 16:38:40 UTCMerge pull request #616 from prempiyush/patch-1 Fix for #61507 June 2019, 16:38:40 UTC
2a3bf06 Scott Lundberg07 June 2019, 16:38:17 UTCMerge pull request #627 from juliusbierk/patch-1 Allow deep_pytorch to use cuda models07 June 2019, 16:38:17 UTC
f99ca46 Scott Lundberg06 June 2019, 21:59:14 UTCFix #631 by updating doc string07 June 2019, 08:04:32 UTC
82b9c2b Ilya Matiach18 May 2019, 17:21:05 UTCrelaxing tolerances to fix failing test07 June 2019, 08:04:32 UTC
6b8a300 Ilya Matiach30 May 2019, 03:49:25 UTCfix travis build due to xgboost install error07 June 2019, 08:04:32 UTC
9f2de65 KOLANICH30 May 2019, 21:31:19 UTCAdded the version constraint on tqdm07 June 2019, 08:04:32 UTC
d282991 KOLANICH30 May 2019, 21:17:32 UTCtqdm -L tqdm.autonotebook in measures.py07 June 2019, 08:04:32 UTC
795a495 KOLANICH30 May 2019, 21:09:59 UTCtqdm -> tqdm.autonotebook in kernel.py07 June 2019, 08:04:32 UTC
fe0d2d0 KOLANICH30 May 2019, 21:07:59 UTCtqdm -> tqdm.autonotebook in linear.py07 June 2019, 08:04:32 UTC
11e6ba7 Himanshu Chandola23 May 2019, 22:54:13 UTConly access colors.red_blue if we are explicitly plotting. This avoids import errors on a missing matplotlib backend07 June 2019, 08:04:32 UTC
558ba61 prempiyush07 June 2019, 03:33:54 UTCMerge branch 'patch-1' of github.com:prempiyush/shap into patch-107 June 2019, 03:33:54 UTC
e4e23af Prem Piyush Goyal29 May 2019, 16:35:12 UTCFix for #615 Changed the second `if` to an `elif`07 June 2019, 03:33:36 UTC
7111eb3 Scott Lundberg06 June 2019, 21:59:14 UTCFix #631 by updating doc string06 June 2019, 21:59:14 UTC
a8b5723 Scott Lundberg06 June 2019, 21:34:24 UTCMerge pull request #622 from KOLANICH/tqdm fixed using console tqdm in jupyter notebooks by using tqdm.autonotebook selecting the right variant automatically06 June 2019, 21:34:24 UTC
8b6b8a8 Ilya Matiach06 June 2019, 17:54:17 UTCMerge pull request #618 from hchandola/hichando/shap_import_fix Fix shap import errors on python environment with a faulty matplotlib06 June 2019, 17:54:17 UTC
3ec3027 Himanshu Chandola06 June 2019, 17:21:36 UTCMerge branch 'master' into hichando/shap_import_fix06 June 2019, 17:21:36 UTC
bebca4a Ilya Matiach06 June 2019, 17:14:13 UTCMerge pull request #600 from imatiach-msft/ilmat/relax-tol relaxing tolerances to fix failing test06 June 2019, 17:14:13 UTC
86ddf75 Ilya Matiach18 May 2019, 17:21:05 UTCrelaxing tolerances to fix failing test06 June 2019, 16:38:05 UTC
441caf6 Ilya Matiach06 June 2019, 14:53:03 UTCMerge pull request #619 from imatiach-msft/ilmat/fix-travis-build fix travis build due to xgboost install error06 June 2019, 14:53:03 UTC
5c2dc58 Ilya Matiach30 May 2019, 03:49:25 UTCfix travis build due to xgboost install error06 June 2019, 02:23:24 UTC
5eaae34 Julius Bier Kirkegaard03 June 2019, 11:00:36 UTCAllow deep_pytorch to use cuda models03 June 2019, 11:00:36 UTC
0928444 KOLANICH30 May 2019, 21:31:19 UTCAdded the version constraint on tqdm30 May 2019, 21:31:19 UTC
3556f65 KOLANICH30 May 2019, 21:17:32 UTCtqdm -L tqdm.autonotebook in measures.py30 May 2019, 21:17:32 UTC
00032d2 KOLANICH30 May 2019, 21:09:59 UTCtqdm -> tqdm.autonotebook in kernel.py30 May 2019, 21:09:59 UTC
b07903c KOLANICH30 May 2019, 21:07:59 UTCtqdm -> tqdm.autonotebook in linear.py30 May 2019, 21:07:59 UTC
3a680f7 Himanshu Chandola23 May 2019, 22:54:13 UTConly access colors.red_blue if we are explicitly plotting. This avoids import errors on a missing matplotlib backend29 May 2019, 21:53:46 UTC
79bfe52 Prem Piyush Goyal29 May 2019, 16:35:12 UTCFix for #615 Changed the second `if` to an `elif`29 May 2019, 16:35:12 UTC
2ce9aaa Gabriel Tseng22 May 2019, 18:52:40 UTCAdd conv transpose layers22 May 2019, 18:52:40 UTC
3992c31 Gabriel Tseng22 May 2019, 18:38:08 UTCAdd adaptive average pooling22 May 2019, 18:39:57 UTC
04b16b0 Scott Lundberg19 May 2019, 04:36:23 UTCMerge pull request #578 from dvpolyakov/add_catboost_shap_values_for_binary_classification add SHAP values for binary classification to CatBoost using TreeExplainer with model_output='probibility' and tree_dependence='Independent'19 May 2019, 04:36:23 UTC
d83af67 Scott Lundberg19 May 2019, 03:31:26 UTCMerge pull request #599 from mqk/axes_option_for_dependence_plot Support passing in an Axes object to dependence_plot.19 May 2019, 03:31:26 UTC
0251868 Scott Lundberg18 May 2019, 22:11:28 UTCskip test issue for the moment18 May 2019, 22:11:28 UTC
89a1280 Scott Lundberg18 May 2019, 21:50:07 UTCStrip prints (trying to fix travis)18 May 2019, 21:50:07 UTC
90007b2 Scott Lundberg18 May 2019, 21:36:54 UTCSpeed up KernelExplainer unit tests18 May 2019, 21:36:54 UTC
b80553a Scott Lundberg18 May 2019, 21:25:52 UTCLog dependency versions during testing18 May 2019, 21:25:52 UTC
e881c64 Scott Lundberg18 May 2019, 06:19:37 UTCreset seed in test18 May 2019, 06:19:37 UTC
084c9b8 Scott Lundberg18 May 2019, 06:00:51 UTCUpdate README.md18 May 2019, 06:00:51 UTC
c770f3a Scott Lundberg18 May 2019, 05:47:20 UTCDocs for dependence_plot18 May 2019, 05:47:20 UTC
938a4d9 Michael Kuhlen17 May 2019, 21:27:36 UTCSupport passing in an Axes object to dependence_plot.17 May 2019, 22:23:48 UTC
e6e48af Scott Lundberg15 May 2019, 11:20:31 UTCMerge pull request #582 from pmeier-tiplu/patch-1 Integer division for np.linspace stepping parameter in line 3515 May 2019, 11:20:31 UTC
e9acbb8 Scott Lundberg15 May 2019, 01:19:29 UTCSupport the new sklearn changes to GradientBoostingRegressor15 May 2019, 01:19:29 UTC
3a0a955 Scott Lundberg15 May 2019, 01:09:59 UTCHide keras imdb bug15 May 2019, 01:09:59 UTC
40238df Scott Lundberg15 May 2019, 01:07:07 UTCBump version15 May 2019, 01:07:07 UTC
96968e4 Scott Lundberg15 May 2019, 01:06:20 UTCFix GradientBoostingClassifier for the most recent sklearn15 May 2019, 01:06:20 UTC
0830151 Philipp Meier10 May 2019, 12:27:10 UTCInteger division for np.linspace stepping parameter in line 35 Eliminates a `DeprecationWarning` issued by passing float valued stepping parameters to np.linspace in shap/plots/color.py:3510 May 2019, 12:27:10 UTC
93baf58 dvpolyakov07 May 2019, 14:59:08 UTCadd SHAP values for binary classification to CatBoost07 May 2019, 14:59:08 UTC
50a6423 Scott Lundberg03 May 2019, 16:18:55 UTCMerge pull request #566 from dvpolyakov/fix_zero_division_in_expectation_computation fix zero division in compute_expectations03 May 2019, 16:18:55 UTC
8110909 dvpolyakov27 April 2019, 17:05:25 UTCfix zero division in compute_expectations27 April 2019, 17:05:25 UTC
b280cb8 Scott Lundberg22 April 2019, 23:25:15 UTCMerge pull request #540 from andriy-nikolov/Issue-496-tf-embedding-lookup Issue #496: embedding lookup with tf.keras22 April 2019, 23:25:15 UTC
b7f58f9 Scott Lundberg22 April 2019, 23:07:46 UTCMerge pull request #482 from jpzhangvincent/master add new BalancedRandomForestClassifier model22 April 2019, 23:07:46 UTC
9268448 Scott Lundberg22 April 2019, 18:14:33 UTCFix #55822 April 2019, 18:14:33 UTC
401dec9 Scott Lundberg22 April 2019, 14:21:39 UTCMerge branch 'master' into master22 April 2019, 14:21:39 UTC
f17d33a Scott Lundberg19 April 2019, 00:03:46 UTCMerge branch 'master' of https://github.com/slundberg/shap19 April 2019, 00:03:46 UTC
2eed745 Scott Lundberg19 April 2019, 00:03:43 UTCpylint fix19 April 2019, 00:03:43 UTC
331827c Scott Lundberg19 April 2019, 00:03:18 UTCPython 3.5 support for Windows19 April 2019, 00:03:18 UTC
2090ed0 Scott Lundberg18 April 2019, 20:28:55 UTCMerge pull request #557 from imatiach-msft/ilmat/fix-multirow-background-sparse fixed multirow sparse background case for KernelExplainer and added test18 April 2019, 20:28:55 UTC
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