V0.9.4 Urgent Fix for scikit-learn 1.0

Urgent fix for breaking changes in scikit-learn 1.0.

SUOD Integration

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.

In this version, SUOD is integrated into PyOD, and fast training/prediction is therefore possible.
See https://github.com/yzhao062/pyod/blob/master/examples/suod_example.py for more information.

V0.9.2

This release mainly features a new deep model, DeepSVDD, in PyOD.

v<0.9.2>, <08/15/2021> -- Fix ROD.
v<0.9.2>, <08/15/2021> -- Add DeepSVDD (implemented by Rafał Bodziony).

V0.9.1

This release incorporates a few bug fixes and enhancement.

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.

V0.9.0

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.

V0.8.9

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)

V0.8.8

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.

V0.8.6

Most the changes are bug-fix and performance enhancement.

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).

V0.8.4

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.

V0.8.3

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).

Short summary, we add two new algorithms COPOD and MAD. Moreover, we now provide a short example regrading model save and load.