Releases: yzhao062/pyod
v1.0.4
v1.0.3
v1.0.2
v1.0.1
v<1.0.1>, <04/27/2022> -- Add INNE (#396).
v<1.0.1>, <05/13/2022> -- Urgent fix for iForest (#406).
Urgent fix for
File "lib/python3.10/site-packages/pyod/models/iforest.py", line 13, in
from sklearn.utils.fixes import _joblib_parallel_args
ImportError: cannot import name '_joblib_parallel_args' from 'sklearn.utils.fixes' (/lib/python3.10/site-packages/sklearn/utils/fixes.py)
v1.0.0
V0.9.9
V0.9.8
v<0.9.8>, <02/23/2022> -- Add Feature Importance for iForest.
v<0.9.8>, <03/05/2022> -- Update ECOD (TKDE 2022).
See the usage of feature importance of iforest in https://github.com/yzhao062/pyod/blob/master/examples/iforest_example.py
See the new ECOD detector in https://github.com/yzhao062/pyod/blob/master/examples/ecod_example.py
V0.9.7 Add ECOD
We add a new detection algorithm called ECOD. See example here: https://github.com/yzhao062/pyod/blob/master/examples/ecod_example.py
V0.9.6
V0.9.5
In this important update, we introduce multiple important features:
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.