import PySimpleGUI27 as sg
import params
# Initiation
activity = 0
CDR = 0
sg.change_look_and_feel('BlueMono') # Add some color to the window
# Very basic window. Return values using auto numbered keys
layout = [
[sg.Text('Enter the parameters to run the models:', size=(35, 1))],
[
sg.Drop(values=('Tea Preparation Activity', 'Washing Hands Activity',
'Dressing Activity'),
auto_size_text=True)
], #0
[
sg.Drop(values=('MCI', 'Mild AD', 'Moderate AD', 'Severe AD'),
auto_size_text=True)
], #1
[sg.Text('# People', size=(20, 1)),
sg.InputText()], #2
[sg.Text('Advanced parameters for the Declarative Memory Module:')],
[
sg.Text('Chunk Activation Transitory Noise e:', size=(30, 1)),
sg.InputText()
], #3
[sg.Text('Strength of Association S:', size=(25, 1)),
sg.InputText()], # 4
def MachineLearningGUI():
sg.SetOptions(text_justification='right')
flags = [
[
sg.Checkbox('Normalize', size=(12, 1), default=True),
sg.Checkbox('Verbose', size=(20, 1))
],
[
sg.Checkbox('Cluster', size=(12, 1)),
sg.Checkbox('Flush Output', size=(20, 1), default=True)
],
[
sg.Checkbox('Write Results', size=(12, 1)),
sg.Checkbox('Keep Intermediate Data', size=(20, 1))
],
[
sg.Checkbox('Normalize', size=(12, 1), default=True),
sg.Checkbox('Verbose', size=(20, 1))
],
[
sg.Checkbox('Cluster', size=(12, 1)),
sg.Checkbox('Flush Output', size=(20, 1), default=True)
],
[
sg.Checkbox('Write Results', size=(12, 1)),
sg.Checkbox('Keep Intermediate Data', size=(20, 1))
],
]
loss_functions = [
[
sg.Radio('Cross-Entropy', 'loss', size=(12, 1)),
sg.Radio('Logistic', 'loss', default=True, size=(12, 1))
],
[
sg.Radio('Hinge', 'loss', size=(12, 1)),
sg.Radio('Huber', 'loss', size=(12, 1))
],
[
sg.Radio('Kullerback', 'loss', size=(12, 1)),
sg.Radio('MAE(L1)', 'loss', size=(12, 1))
],
[
sg.Radio('MSE(L2)', 'loss', size=(12, 1)),
sg.Radio('MB(L0)', 'loss', size=(12, 1))
],
]
command_line_parms = [
[
sg.Text('Passes', size=(8, 1)),
sg.Spin(values=[i for i in range(1, 1000)],
initial_value=20,
size=(6, 1)),
sg.Text('Steps', size=(8, 1), pad=((7, 3))),
sg.Spin(values=[i for i in range(1, 1000)],
initial_value=20,
size=(6, 1))
],
[
sg.Text('ooa', size=(8, 1)),
sg.In(default_text='6', size=(8, 1)),
sg.Text('nn', size=(8, 1)),
sg.In(default_text='10', size=(10, 1))
],
[
sg.Text('q', size=(8, 1)),
sg.In(default_text='ff', size=(8, 1)),
sg.Text('ngram', size=(8, 1)),
sg.In(default_text='5', size=(10, 1))
],
[
sg.Text('l', size=(8, 1)),
sg.In(default_text='0.4', size=(8, 1)),
sg.Text('Layers', size=(8, 1)),
sg.Drop(values=('BatchNorm', 'other'), auto_size_text=True)
],
]
layout = [[
sg.Frame('Command Line Parameteres',
command_line_parms,
title_color='green',
font='Any 12')
], [sg.Frame('Flags', flags, font='Any 12', title_color='blue')],
[
sg.Frame('Loss Functions',
loss_functions,
font='Any 12',
title_color='red')
], [sg.Submit(), sg.Cancel()]]
window = sg.Window('Machine Learning Front End',
font=("Helvetica", 12)).Layout(layout)
button, values = window.Read()
sg.SetOptions(text_justification='left')
print(button, values)