-
-
Notifications
You must be signed in to change notification settings - Fork 1.4k
/
CHANGES.txt
199 lines (199 loc) · 12.3 KB
/
CHANGES.txt
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
v<0.1.0>, <05/20/2018> -- Initial release.
v<0.1.1>, <05/20/2018> -- Hot fixes for broken documentation.
v<0.1.2>, <05/20/2018> -- Hot fixes for broken dependency.
v<0.1.3>, <05/21/2018> -- Function Signature Improvement.
v<0.2.0>, <05/23/2018> -- Implement tests and improve stability.
v<0.2.1>, <05/23/2018> -- Remove data loading func due to broken dependency.
v<0.2.2>, <05/24/2018> -- Refactor models and add more testcases
v<0.2.3>, <05/26/2018> -- Add more testcases.
v<0.3.0>, <05/27/2018> -- Provide full documentation.
v<0.3.1>, <05/28/2018> -- Add more complete coverage for Py3.5+.
v<0.3.2>, <05/29/2018> -- Implement fastABOD and added more documentations.
v<0.3.3>, <05/29/2018> -- Urgent bug fix.
v<0.3.4>, <05/29/2018> -- Another urgent bug fix.
v<0.4.0>, <05/31/2018> -- Refactor all models to be sklearn compatible.
v<0.4.1>, <06/01/2018> -- Support Python 2.7, 3.4, 3.5 and 3.6.
v<0.4.2>, <06/01/2018> -- Fix Python 2.7 installation issue.
v<0.4.3>, <06/02/2018> -- Add more models and refactored examples.
v<0.4.4>, <06/03/2018> -- Refactor HBOS and add new models.
v<0.4.5>, <06/04/2018> -- Implemented Feature Bagging meta framework.
v<0.4.6>, <06/05/2018> -- Incremental changes and documentation improvements.
v<0.4.7>, <06/06/2018> -- Add Principal Component Analysis (PCA) detector.
v<0.4.8>, <06/07/2018> -- Refactor documentation and add test cases.
v<0.4.9>, <06/09/2018> -- Add new utility functions and improve documentations.
v<0.5.0>, <06/10/2018> -- Refactor models and improve documentation.
v<0.5.1>, <06/12/2018> -- Add MCD detector and more Jupyter notebooks.
v<0.5.2>, <06/13/2018> -- Incremental changes.
v<0.5.3>, <06/14/2018> -- Incremental changes.
v<0.5.4>, <06/18/2018> -- Add CBLOF model and incremental improvements.
v<0.5.7>, <09/03/2018> -- Add AutoEncoder with fully connected architecture.
v<0.5.8>, <09/04/2018> -- Remove keras, tensorflow and matplotlib as dependency.
v<0.5.9>, <09/04/2018> -- Optimize models with numba for fast execution.
v<0.6.0>, <10/19/2018> -- Update LOF due to the changes in sklearn 0.20.0.
v<0.6.1>, <11/03/2018> -- Inclusion of Python 3.7 & welcome Zain Nasrullah.
v<0.6.1>, <11/10/2018> -- Incremental changes and official release of 0.6.1.
v<0.6.2>, <11/19/2018> -- Refactor base class to decrease cognitive complexity.
v<0.6.2>, <11/24/2018> -- Add maintainability check and Appveyor CI.
v<0.6.2>, <11/24/2018> -- Add LSCP implementation (WIP).
v<0.6.3>, <11/26/2018> -- Move from README.md to README.rst.
v<0.6.4>, <11/26/2018> -- Refactor version file for Python 2 compatibility.
v<0.6.5>, <11/27/2018> -- Update README.rst Reference section.
v<0.6.5>, <11/28/2018> -- Add Stochastic Outlier Selection (SOS).
v<0.6.5>, <11/30/2018> -- Add CircleCI continuous integration.
v<0.6.5>, <12/03/2018> -- Add Local Correlation Integral (LOCI).
v<0.6.6>, <12/06/2018> -- Add LSCP (production version).
v<0.6.6>, <12/08/2018> -- Add XGBOD.
v<0.6.6>, <12/18/2018> -- Fixed bugs in CBLOF.
v<0.6.6>, <12/18/2018> -- Refactor docstring from rst to numpydoc.
v<0.6.6b1>, <12/18/2018> -- Pre-release of V0.6.6.
v<0.6.6>, <12/21/2018> -- Redesign visualize function for all examples.
v<0.6.6>, <12/23/2018> -- Refactor all docstring to numpydoc.
v<0.6.7>, <12/25/2018> -- Documentation clean-up.
v<0.6.7>, <12/25/2018> -- Optimize LOCI with numba.
v<0.6.7>, <12/26/2018> -- Refactor Feature Bagging and GAAL based models.
v<0.6.7>, <12/27/2018> -- Refactor test cases for better coverage.
v<0.6.7>, <12/28/2018> -- Redesign visualize function for all examples.
v<0.6.7>, <12/30/2018> -- Add new models to jupyter notebook and benchmark.
v<0.6.8>, <01/31/2019> -- Optimize unit tests for faster execution.
v<0.6.8>, <02/08/2019> -- Update docs with media coverage.
v<0.6.8>, <02/10/2019> -- Fix issue in CBLOF for n_cluster discrepancy.
v<0.6.8>, <02/10/2019> -- Minor doc improvement and stability enhancement.
v<0.6.9>, <03/12/2019> -- Major documentation update for JMLR.
v<0.6.9>, <03/12/2019> -- Change CI tool env variable setting.
v<0.6.9>, <03/18/2019> -- Update SOS default parameter setting and documentation.
v<0.6.9>, <03/29/2019> -- Refactor visualize function (moved to utils).
v<0.6.9>, <03/30/2019> -- Add License info and show support to 996.ICU!
v<0.6.9>, <04/08/2019> -- Redesign ReadMe for clarity.
v<0.6.9>, <04/08/2019> -- Deprecate fit_predict and fit_predict_score function.
v<0.6.9>, <04/10/2019> -- Add inclusion criteria and Python 2.7 retirement notice.
v<0.7.0>, <04/18/2019> -- Fix issue #23 that kNN fails with Mahalanobis distance.
v<0.7.0>, <04/20/2019> -- Fix for sklearn new behaviour FutureWarning.
v<0.7.0>, <04/29/2019> -- Refactor #76 (generate_data_clusters).
v<0.7.1>, <05/13/2019> -- Fix installation errors caused by sklearn 0.21.
v<0.7.2>, <05/27/2019> -- Enhanced CI integration.
v<0.7.2>, <05/29/2019> -- Add Connectivity-Based Outlier Factor (COF).
v<0.7.2>, <05/29/2019> -- Bug fixes in LSCP and minor documentation updates.
v<0.7.3>, <06/10/2019> -- Update documentation.
v<0.7.3>, <06/12/2019> -- Add Subspace Outlier Detection (SOD).
v<0.7.3>, <06/12/2019> -- Fix bugs in SO_GAAL and MO_GAAL.
v<0.7.4>, <07/10/2019> -- Fix bugs and update documentation.
v<0.7.4>, <07/17/2019> -- Update dependency (six and joblib).
v<0.7.4>, <07/19/2019> -- Update deprecation information.
v<0.7.5>, <09/24/2019> -- Fix one dimensional data error in LSCP.
v<0.7.5>, <10/13/2019> -- Document kNN and Isolation Forest's incoming changes.
v<0.7.5>, <10/13/2019> -- SOD optimization (created by John-Almardeny in June).
v<0.7.5>, <10/13/2019> -- Documentation updates.
v<0.7.5.1>, <10/15/2019> -- kNN code optimization.
v<0.7.5.1>, <12/05/2019> -- Hot fix for scikit-learn 0.22 update. To be complete.
v<0.7.5.1>, <12/05/2019> -- Disable CircleCI for Python 2.7.
v<0.7.6>, <12/18/2019> -- Update Isolation Forest and LOF to be consistent with sklearn 0.22.
v<0.7.6>, <12/18/2019> -- Add Deviation-based Outlier Detection (LMDD).
v<0.7.7>, <12/21/2019> -- Refactor code for combination simplification on combo.
v<0.7.7>, <12/21/2019> -- Extended combination methods by median and majority vote.
v<0.7.7>, <12/22/2019> -- Code optimization and documentation update.
v<0.7.7>, <12/22/2019> -- Enable continuous integration for Python 3.7.
v<0.7.7.1>, <12/29/2019> -- Minor update for SUOD and warning fixes.
v<0.7.8>, <01/05/2019> -- Documentation update.
v<0.7.8>, <01/30/2019> -- Bug fix for kNN (#158).
v<0.7.8>, <03/14/2020> -- Add VAE (implemented by Dr Andrij Vasylenko).
v<0.7.8>, <03/17/2020> -- Add LODA (adapted from tilitools).
v<0.7.8.1>, <04/07/2020> -- Hot fix for SOD.
v<0.7.8.2>, <04/14/2020> -- Bug Fix for LODA.
v<0.7.9>, <04/20/2020> -- Relax the number of n_neighbors in ABOD and COF.
v<0.7.9>, <05/01/2020> -- Extend Vanilla VAE to Beta VAE by Dr Andrij Vasylenko.
v<0.7.9>, <05/01/2020> -- Add Conda Badge.
v<0.8.0>, <05/18/2020> -- Update test frameworks by reflecting sklearn change.
v<0.8.1>, <07/01/2020> -- Bug fix and documentation update.
v<0.8.2>, <07/04/2020> -- Add a set of utility functions.
v<0.8.2>, <08/30/2020> -- Add COPOD and MAD algorithm.
v<0.8.3>, <09/01/2020> -- Make decision score consistent.
v<0.8.3>, <09/19/2020> -- Add model persistence documentation (save and load).
v<0.8.4>, <10/13/2020> -- Fix COPOD code inconsistency (issue #239).
v<0.8.4>, <10/24/2020> -- Fix LSCP minor bug (issue #180).
v<0.8.4>, <11/02/2020> -- Add support for Tensorflow 2.
v<0.8.4>, <11/12/2020> -- Merge PR #!02 for categortical data generation.
v<0.8.5>, <12/22/2020> -- Refactor test from sklearn to numpy
v<0.8.5>, <12/22/2020> -- Refactor COPOD for consistency
v<0.8.5>, <12/22/2020> -- Refactor due to sklearn 0.24 (issue #265)
v<0.8.6>, <01/09/2021> -- Improve COF speed (PR #159)
v<0.8.6>, <01/10/2021> -- Fix LMDD parameter inconsistenct.
v<0.8.6>, <01/12/2021> -- Add option to specify feature names in copod explanation plot (PR #261).
v<0.8.7>, <01/16/2021> -- Add ROD.
v<0.8.7>, <02/18/2021> -- Dependency optimization.
v<0.8.8>, <04/08/2021> -- COPOD optimization.
v<0.8.8>, <04/08/2021> -- Add parallelization for COPOD.
v<0.8.8>, <04/26/2021> -- Fix XGBOD issue with xgboost 1.4.
v<0.8.9>, <05/17/2021> -- Turn on test for Python 3.5-3.8.
v<0.8.9>, <06/10/2021> -- Add PyTorch AutoEncoder
v<0.8.9>, <06/11/2021> -- Fix LMDD parameter (#307)
v<0.9.0>, <06/20/2021> -- Add clone test for models.
v<0.9.0>, <07/03/2021> -- ROD hot fix (#316).
v<0.9.0>, <07/04/2021> -- Improve COPOD plot with colunms parameter.
v<0.9.1>, <07/12/2021> -- Improve COPOD by dropping pandas dependency.
v<0.9.1>, <07/19/2021> -- Add memory efficienct COF.
v<0.9.1>, <08/01/2021> -- Fix Pytorch Dataset issue.
v<0.9.1>, <08/14/2021> -- Synchronize scikit-learn LOF parameters.
v<0.9.2>, <08/15/2021> -- Fix ROD.
v<0.9.2>, <08/15/2021> -- Add DeepSVDD (implemented by Rafał Bodziony).
v<0.9.3>, <08/19/2021> -- Expand test to Python 3.8 and 3.9.
v<0.9.3>, <08/29/2021> -- Add SUOD.
v<0.9.4>, <08/29/2021> -- Urgent update for scikit-learnin 1.0.
v<0.9.5>, <09/10/2021> -- Update to GitHub Action for autotest!
v<0.9.5>, <09/10/2021> -- Various documentation fix.
v<0.9.5>, <10/26/2021> -- MAD fix #318.
v<0.9.5>, <10/26/2021> -- Automatic histogram size selection for HBOS and LODA #321.
v<0.9.5>, <10/27/2021> -- Add prediction confidence #349.
v<0.9.6>, <11/05/2021> -- Minor bug fix for COPOD.
v<0.9.6>, <12/24/2021> -- Bug fix for MAD (#358).
v<0.9.6>, <12/24/2021> -- Bug fix for COPOD plotting (#337).
v<0.9.6>, <12/24/2021> -- Model persistence doc improvement.
v<0.9.7>, <01/03/2022> -- Add ECOD.
v<0.9.8>, <02/23/2022> -- Add Feature Importance for iForest.
v<0.9.8>, <03/05/2022> -- Update ECOD (TKDE 2022).
v<0.9.9>, <03/20/2022> -- Renovate documentation.
v<0.9.9>, <03/23/2022> -- Add example for COPOD interpretability.
v<0.9.9>, <03/23/2022> -- Add outlier detection by Cook’s distances.
v<0.9.9>, <04/04/2022> -- Various community fix.
v<1.0.0>, <04/04/2022> -- Add KDE detector (#382).
v<1.0.0>, <04/06/2022> -- Disable the bias term in DeepSVDD (#385).
v<1.0.0>, <04/21/2022> -- Fix a set of issues of autoencoders (#313, #390, #391).
v<1.0.0>, <04/23/2022> -- Add sampling based detector (#384).
v<1.0.1>, <04/27/2022> -- Add INNE (#396).
v<1.0.1>, <05/13/2022> -- Urgent fix for iForest (#406).
v<1.0.2>, <06/21/2022> -- Add GMM detector (#402).
v<1.0.2>, <06/23/2022> -- Add ADBench Benchmark.
v<1.0.3>, <06/27/2022> -- Change default generation to new behaviors (#409).
v<1.0.3>, <07/04/2022> -- Add AnoGAN (#412).
v<1.0.4>, <07/29/2022> -- General improvement of code quality and test coverage.
v<1.0.4>, <07/29/2022> -- Add LUNAR (#413).
v<1.0.4>, <07/29/2022> -- Add LUNAR (#415).
v<1.0.5>, <07/29/2022> -- Import optimization.
v<1.0.5>, <08/27/2022> -- Code optimization.
v<1.0.5>, <09/14/2022> -- Add ALAD.
v<1.0.6>, <09/23/2022> -- Update ADBench benchmark for NeruIPS 2022.
v<1.0.6>, <10/23/2022> -- ADD KPCA.
v<1.0.7>, <12/14/2022> -- Enable automatic thresholding by pythresh (#454).
v<1.0.8>, <03/08/2023> -- Improve clone compatibility (#471).
v<1.0.8>, <03/08/2023> -- Add QMCD detector (#452).
v<1.0.8>, <03/08/2023> -- Optimized ECDF and drop Statsmodels dependency (#467).
v<1.0.9>, <03/19/2023> -- Hot fix for errors in ECOD and COPOD due to the issue of scipy.
v<1.1.0>, <06/19/2023> -- Further integration of PyThresh.
v<1.1.1>, <07/03/2023> -- Bump up sklearn requirement and some hot fixes.
v<1.1.1>, <10/24/2023> -- Add deep isolation forest (#506).
v<1.1.2>, <11/17/2023> -- Massive documentation optimization.
v<1.1.2>, <11/17/2023> -- Fix the issue of contamination.
v<1.1.2>, <11/17/2023> -- KPCA bug fix (#494).
v<1.1.3>, <02/07/2024> -- Minor fix for SUOD changes.
v<1.1.4>, <02/09/2024> -- Drop support of six for Python 2.
v<1.1.4>, <03/16/2024> -- Fix documentation and temporarily restrict to Keras 2 in testing.
v<2.0.0>, <05/21/2024> -- Moving from TF to Torch -- reimplement SO_GAAL.
v<2.0.0>, <05/21/2024> -- Moving from TF to Torch -- implement dl base with more utilities.
v<2.0.1>, <06/16/2024> -- Moving from TF to Torch -- reimplement DeepSVDD.
v<2.0.1>, <06/17/2024> -- Moving from TF to Torch -- reimplement dl_base.
v<2.0.1>, <06/21/2024> -- Moving from TF to Torch -- reimplement MO_GAAL.
v<2.0.1>, <06/21/2024> -- Moving from TF to Torch -- reimplement AE and VAE.
v<2.0.2>, <07/01/2024> -- Add AE1SVM.
v<2.0.2>, <07/04/2024> -- Moving from TF to Torch -- reimplement ALAD.
v<2.0.2>, <07/04/2024> -- Moving from TF to Torch -- reimplement anogan.
v<2.0.2>, <07/06/2024> -- Complete of removing all Tensorflow and Keras code.
v<2.0.2>, <07/21/2024> -- Add DevNet.