forked from yzhao062/pyod
-
Notifications
You must be signed in to change notification settings - Fork 1
/
CHANGES.txt
106 lines (101 loc) · 6.48 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
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.