leehanchung

##############################################################################
# Author: Han-chung Lee
# Date: 2020-11-6
# 
# Detecting election fraud activity at Milwaukee County using Benford's Law
#
# Statistical detection of systematic election irregularities:
# https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3478593/
##############################################################################

leehanchung

import tensorflow as tf #We need tensorflow 2.x
import numpy as np

#The hashlength in bits
hashLength = 256

def buildModel():
    #we can set the seed to simulate the fact that this network is known and doesn't change between runs
    #tf.random.set_seed(42)
    model = tf.keras.Sequential()

leehanchung

# Contains human-readable representation of NFactor::TCodeGenInput message (defined in factors_metadata.proto)

Group: [
    "Datetime",
    "Domain",
    "RapidClicks",
    "RegHostStatic",
    "RegDocStatic",
    "Regex",
    "LinkBM25",