def generateLayerMenus(self, numOfLayers):
if isinstance(numOfLayers, int):
menus = []
for i in range(0, numOfLayers - 1):
newMenu = ttk.Combobox(self.parent,
state='readonly',
values=list(range(1, self.maxNeurons)))
newMenu.bind('<<ComboboxSelected>>', lambda x: \
self.parent.focus())
menus.append(newMenu)
# HyperParameters
newMenu = ttk.Combobox(
self.parent,
state='readonly',
values=PluginManager.getPluginNames('ActivationFunc'))
newMenu.bind('<<ComboboxSelected>>', lambda x: \
self.parent.focus())
menus.append(newMenu)
newMenu = ttk.Combobox(
self.parent,
state='readonly',
values=PluginManager.getPluginNames('ErrorFunc'))
newMenu.bind('<<ComboboxSelected>>', lambda x: \
self.parent.focus())
menus.append(newMenu)
newMenu = Tk.Entry(self.parent)
newMenu.insert(Tk.END, '0.1')
menus.append(newMenu)
self.menus = menus
else:
raise TypeError('"numOfLayers" has to be an int.')
def __init__(self, pcapfile, outputdir='output', entropy=False, **kwargs):
self.kwargs = kwargs
self.pcapfile = pcapfile
self.filemanager = FileManager(outputdir)
self.pm = PluginManager()
self.outputdir = outputdir
self.useEntropy = entropy
def __init__(self, pcapfile, outputdir='output', entropy=False, **kwargs):
self.kwargs = kwargs
self.pcapfile = pcapfile
self.filemanager = FileManager(outputdir)
self.pm = PluginManager()
self.outputdir = outputdir
self.useEntropy = entropy
self.countfiles = 0
self.emailscan = EmailScan.EmailScan()
self.domainscan = DomainScan.DomainScan()
self.ipscan = IPScan.IPScan()
def __init__(self,
logger,
pcapfile,
outputdir='output',
entropy=False,
write_file_data=False,
**kwargs):
self.kwargs = kwargs
self.pcapfile = pcapfile
self.filemanager = FileManager(outputdir, write_file_data)
self.pm = PluginManager()
self.outputdir = outputdir
self.useEntropy = entropy
self.logger = logger
def setActivationFunc(self, ActivationFunc):
if PluginManager.checkTypeValid(ActivationFunc):
self.actFunc = ActivationFunc
# -*- coding: utf-8 -*-
import random
from Plugins import PluginManager
import configparser
import numpy as np
config = configparser.ConfigParser()
config.read('config.ini')
ActivationFunctions = PluginManager.importPlugins('ActivationFunc')
ErrorFunctions = PluginManager.importPlugins('ErrorFunc')
class Neuron:
# TotalNeurons is an incrementing int which keeps track of how many neurons have been created for naming
TotalNeurons = 0
# w is an array containing weights (ints)
# @param Bias is a float
# @param LearningRate is a float
# @param activationFunction is a string
def __init__(
self,
LearningRate,
activationFunction,
errorFunction,
):
# -*- coding: utf-8 -*-
import tkinter as Tk
from tkinter import ttk
from Plugins import PluginManager
import configparser
import Globals
actFuncList = PluginManager.getPluginNames('ActivationFunc')
errFuncList = PluginManager.getPluginNames('ErrorFunc')
# Get Configs
config = configparser.ConfigParser()
config.read('config.ini')
colourScheme = config['colourScheme']
fonts = config['fonts']
neuralNet = config['neuralNet']
maxLayers = list(range(2, int(neuralNet['maxLayers']) + 1))
# Opens a window containing the variables of a given neuron
# @param neuron is the neuron obj
def newWindow(neuron):
window = Tk.Toplevel()
window.grab_current()
window.title('Neuron')
window.config(bg=colourScheme['background'])
window.attributes('-topmost', 'true')
window.maxsize(width=0, height=600)