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CATCHM

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0.1 CATCHM-0.1-py3-none-any.whl

Wheel Details

Project: CATCHM
Version: 0.1
Filename: CATCHM-0.1-py3-none-any.whl
Download: [link]
Size: 7325
MD5: 864fd03b4bc08eb4813cdb63710520f0
SHA256: f85e3cf0e896f6f242ee598681061dc2dde6d3495bc92e53be04911f6a4cead0
Uploaded: 2021-12-20 18:11:23 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: CATCHM
Version: 0.1
Summary: A novel network-based credit card fraud detection approach using noderepresentation learning
Author: Rafael Van Belle
Author-Email: rafael[at]gmail.com
Home-Page: https://github.com/rafaelvanbelle/CATCHM
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: networkx
Requires-Dist: nodevectors
Requires-Dist: xgboost
Requires-Dist: fucc
Requires-Dist: scikit-learn
Description-Content-Type: text/markdown
[Description omitted; length: 2016 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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catchm/embeddings.py sha256=7N6QEUmF8djlXfrjyVLrf83Fj1r2dVXyw76QJr2P2wE 3958
catchm/inductive.py sha256=XZXS7ZW0PNxRWqdZZ50OjuSiChBTb27cUptWvv_nYUg 3435
catchm/model.py sha256=R3e29cYLlfha_jIJFvOkFEnGTdOjgaWe_Rb57x_9k5I 3776
catchm/network.py sha256=WhYFymSiMtDOBMzldoqnD7bEX3TsiQ4Z7VK_BhRnU_A 818
catchm/utils.py sha256=ThHnICt6xC5riaJi05kYcLz1PeZ4X1gz0mx0jNhYQ4Q 500
CATCHM-0.1.dist-info/METADATA sha256=YMA_HFt8xsAuEyMFqtIfl9dnbWKA5gc8tBeWFYhg1Bs 2692
CATCHM-0.1.dist-info/WHEEL sha256=ewwEueio1C2XeHTvT17n8dZUJgOvyCWCt0WVNLClP9o 92
CATCHM-0.1.dist-info/top_level.txt sha256=AVnPwIdbkGYuuOPyVx8nyReRiPPlfRSnBs7d0FVPnJw 7
CATCHM-0.1.dist-info/RECORD — —

top_level.txt

catchm