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An Unsupervised Graph-based Toolbox for Fraud Detection

License: Apache License 2.0

Python 100.00%

fraud-detection outlier-detection fraud-prevention anomaly-detection graph-algorithms machine-learning data-science toolbox opensource security-tools

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cannot import name 'Detector' most likely due to a circular import

Performing a simple import as outlined in testing.py

import sys
import os
__file__ = "~/env/lib/python3.8/site-packages/UGFraud"
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
from UGFraud.Demo.eval_fBox import *

However, this produces the below error:

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
~/env/lib/python3.8/site-packages/UGFraud in <module>
      3 __file__ = "~/env/lib/python3.8/site-packages/UGFraud"
      4 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
----> 5 from UGFraud.Demo.eval_fBox import *

~/miniconda3/lib/python3.8/site-packages/UGFraud/__init__.py in <module>
      1 # -*- coding: utf-8 -*-
      2 
----> 3 from . import Detector
      4 from . import Utils
      5 

ImportError: cannot import name 'Detector' from partially initialized module 'UGFraud' (most likely due to a circular import) (~/miniconda3/lib/python3.8/site-packages/UGFraud/__init__.py)

m-zoom & d-cube

good job!! Whether there is a plan for m-zoom and d-cube algorithm？

Scale function bug?

Is the else condition indented wrongly?

def scale_value(value_dict):
    """
    Calculate and return a dict of the value of input dict scaled to (0, 1)
    """

    ranked_dict = [(user, value_dict[user]) for user in value_dict.keys()]
    ranked_dict = sorted(ranked_dict, reverse=True, key=lambda x: x[1])

    up_max, up_mean, up_min = ranked_dict[0][1], ranked_dict[int(len(ranked_dict) / 2)][1], ranked_dict[-1][1]

    scale_dict = {}
    for i, p in value_dict.items():
        norm_value = (p - up_min) / (up_max - up_min)
        if norm_value == 0:  # avoid the 0
            scale_dict[i] = 0 + 1e-7
        elif norm_value == 1:  # avoid the 1
            scale_dict[i] = 1 - 1e-7
    else:
        scale_dict[i] = norm_value

    return scale_dict

safe-graph / ugfraud Goto Github PK

ugfraud's People

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ugfraud's Issues

cannot import name 'Detector' most likely due to a circular import

m-zoom & d-cube

Scale function bug?

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