Wheelodex » Projects » graphomaly

graphomaly

View on PyPI — Reverse Dependencies (0)

0.3.1 graphomaly-0.3.1-py3-none-any.whl

Wheel Details

Project: graphomaly
Version: 0.3.1
Filename: graphomaly-0.3.1-py3-none-any.whl
Download: [link]
Size: 88913
MD5: d17ebe0400ef7b20317934ea9991e021
SHA256: 3601a5aa024947953137ff448135be397074775f170d02a9c506e4507dede039
Uploaded: 2023-05-12 09:46:18 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: graphomaly
Version: 0.3.1
Summary: Anomaly detection in graphs modeling financial transactions and computer networks.
Author: Paul Irofti, Ștefania Budulan, Bogdan Dumitrescu, Andra Băltoiu, Nicolae Cleju, Andrei Iulian Hîji
Author-Email: graphomaly[at]fmi.unibuc.ro
Home-Page: https://gitlab.com/unibuc/graphomaly/graphomaly
Project-Url: Bug Tracker, https://gitlab.com/unibuc/graphomaly/graphomaly/-/issues
Keywords: anomaly detection,graphs,financial transactions,computer networks,abnormal behavior,machine learning,security
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: attrdict3
Requires-Dist: combo
Requires-Dist: dirty-cat
Requires-Dist: dictlearn
Requires-Dist: keras
Requires-Dist: networkx (<3)
Requires-Dist: numpy (<1.22,>=1.18)
Requires-Dist: pandas
Requires-Dist: tqdm
Requires-Dist: pyod
Requires-Dist: python-louvain
Requires-Dist: PyYAML
Requires-Dist: scikit-learn (>1.1.3)
Requires-Dist: scipy
Requires-Dist: tensorflow
Requires-Dist: wheel
Requires-Dist: wrapt-timeout-decorator
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2365 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
graphomaly/__init__.py sha256=1iok55Apnm6H6qeEwgmkLt7v8YWhNhv8vdG8JGr_U4g 43
graphomaly/estimator.py sha256=9j5QzNWkNBACSn2p3gLbbuuvdFVZ-w_fKBP3IKuRFJo 34446
graphomaly/grid_search.py sha256=wcVY4eJpfphHTBZYkjW__w5WMx0uJ25MdPGvS_dAoJI 25465
graphomaly/normalizations.py sha256=5y766_4gbo6nfbxQhgNbINsG8tBpU-C2fcFiIg9B_RM 4813
graphomaly/voting.py sha256=M7wyr_eJTNn8APUOrc6J9rmc5cQjCluufjCwmKrh5CE 37278
graphomaly/models/__init__.py sha256=UQGRKeQ_yfS-eB8xKFMH3gdSKRzUZCaxu6jDIUYKkMQ 46
graphomaly/models/autoencoder.py sha256=lG-ETwjj9qhGA8WVnoVQLkfDYzdkxmPTTqLogXANvz4 24456
graphomaly/models/base_model.py sha256=VczSQuc1T9IIqGP-vRtK9WIIM64EoOrsz_LW7XqLNz0 2684
graphomaly/models/dictlearn.py sha256=6I6UFsGsUc2QpPEJgLMBSd2tOR9HtXcsI7MRFOr70KE 7950
graphomaly/models/models.py sha256=NhcIPZiog7ogTQxvvUd5QPjejHHT_IxFRFrlmeSw-yE 7111
graphomaly/models/sklearn.py sha256=JvYmQFqG6EPB2VbhetT88smmLnld64XES6N-NtQzcnk 731
graphomaly/models/vae.py sha256=ZPPosdDc-CJ_WADr41zpGOTDAV7EhsHWN8WIswzv71U 27130
graphomaly/preprocessing/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
graphomaly/preprocessing/egonet.py sha256=5Uc7LEz34akF7WaV1-ybtwgIeJV1cpmHz2OeGB8ERYk 8556
graphomaly/preprocessing/fe_difference_transformer.py sha256=G6LPHbkcCbzdFmiN9C_p36rjk4upLEV1lxLbNipt0u0 5112
graphomaly/preprocessing/fe_statistical_transformer.py sha256=uK6jaQ8MdfQAL6C9hzTIIZ4vNxMGmL5-DzYgmjk5Gf0 8427
graphomaly/preprocessing/fe_time_transformers.py sha256=5DR8O1Cx3nT0r4CDWUSrw8zT_ELNP98O9YChKGkPkyI 9538
graphomaly/preprocessing/graph_to_features.py sha256=C9wyAZpPHq4JFRDYeMhRqLZt3-EWk09bxNBLZ_iER9E 34054
graphomaly/preprocessing/graph_to_spectrum_features.py sha256=I7srtmG9Fzli-n4-VdroTPnXJAQBbtnltLkQzIWLwME 9095
graphomaly/preprocessing/rwalk.py sha256=2umUNOpBwdJ0r2vHTmIcP3pAfeq5vnw3b3tRrXPDfQM 7204
graphomaly/preprocessing/spectrum.py sha256=S7ykJqIiEVWUp4tS32AJrnOGKiQGaQn8KE5O5tF-NF4 6850
graphomaly/preprocessing/transactions_to_graph.py sha256=X_RdIk9_W9OVZVsCfx-AlQNDCvXuutU3PdtniZOLFQk 6129
graphomaly/preprocessing/fe_base/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
graphomaly/preprocessing/fe_base/historical_features.py sha256=NinvYS-yW4DzuabUV6YinIW0GPOmthtwVUJ8JEeKuTc 4642
graphomaly/preprocessing/fe_base/statistical_features.py sha256=9MdhX42AoWiKwYv6AiVDljXBbMnPUJgdMOxySm8jaRU 18634
graphomaly/preprocessing/fe_base/time_features.py sha256=AX1saX5LFv51byX-stDZbPxTPyjuTAwjBiQqocQJ10k 12728
graphomaly-0.3.1.dist-info/LICENSE sha256=yFwOBaD6X6QEvz8wIEUh7B7IFXdbjZXGAQYZ83AFB70 718
graphomaly-0.3.1.dist-info/METADATA sha256=aJ-1-iloiQS5pLGN6dMcTwV211FA0Dwu5dpID1TRt7M 3596
graphomaly-0.3.1.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
graphomaly-0.3.1.dist-info/top_level.txt sha256=0Y4vkkB3FE2sJGIGo7xisVug0m8F12Paxfelwm98O_o 11
graphomaly-0.3.1.dist-info/RECORD — —

top_level.txt

graphomaly