Machine Learning Recipe added
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@ -432,13 +432,13 @@ This form doesn't close after button clicks. To achieve this the buttons are sp
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while True:
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(button, value) = form.Read()
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if button == 'EXIT' or button is None:
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break # exit button clicked
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if button == 'script1':
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break # exit button clicked
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if button == 'script1':
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ExecuteCommandSubprocess('pip','list')
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elif button == 'script2':
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ExecuteCommandSubprocess('python', '--version')
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elif button == 'Run':
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ExecuteCommandSubprocess(value[0]) # send string without carriage return on end
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ExecuteCommandSubprocess(value[0])
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def ExecuteCommandSubprocess(command, *args):
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@ -454,3 +454,46 @@ This form doesn't close after button clicks. To achieve this the buttons are sp
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if __name__ == '__main__':
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Launcher()
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----
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## Machine Learning GUI
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A standard non-blocking GUI with lots of inputs.
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![machine learning green](https://user-images.githubusercontent.com/13696193/43979000-408b77ba-9cb7-11e8-9ffd-24c156767532.jpg)
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import PySimpleGUI as sg
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# Green & tan color scheme
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sg.SetOptions(background_color='#9FB8AD',
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text_element_background_color='#9FB8AD',
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element_background_color='#9FB8AD',
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input_elements_background_color='#F7F3EC',
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button_color=('white', '#475841'),
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border_width=0,
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slider_border_width=0,
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progress_meter_border_depth=0,
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scrollbar_color='#F7F3EC')
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sg.SetOptions(text_justification='right')
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form = sg.FlexForm('Machine Learning Front End', font=("Helvetica", 12)) # begin with a blank form
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layout = [[sg.Text('Machine Learning Command Line Parameters', font=('Helvetica', 16))],
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[sg.Text('Passes', size=(15, 1)), sg.Spin(values=[i for i in range(1, 1000)], initial_value=20, size=(6, 1)),
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sg.Text('Steps', size=(18, 1)), sg.Spin(values=[i for i in range(1, 1000)], initial_value=20, size=(6, 1))],
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[sg.Text('ooa', size=(15, 1)), sg.In(default_text='6', size=(10, 1)), sg.Text('nn', size=(15, 1)), sg.In(default_text='10', size=(10, 1))],
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[sg.Text('q', size=(15, 1)), sg.In(default_text='ff', size=(10, 1)), sg.Text('ngram', size=(15, 1)), sg.In(default_text='5', size=(10, 1))],
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[sg.Text('l', size=(15, 1)), sg.In(default_text='0.4', size=(10, 1)), sg.Text('Layers', size=(15, 1)), sg.Drop(values=('BatchNorm', 'other'),auto_size_text=True)],
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[sg.Text('_' * 100, size=(65, 1))],
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[sg.Text('Flags', font=('Helvetica', 15), justification='left')],
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[sg.Checkbox('Normalize', size=(12, 1), default=True), sg.Checkbox('Verbose', size=(20, 1))],
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[sg.Checkbox('Cluster', size=(12, 1)), sg.Checkbox('Flush Output', size=(20, 1), default=True)],
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[sg.Checkbox('Write Results', size=(12, 1)), sg.Checkbox('Keep Intermediate Data', size=(20, 1))],
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[sg.Text('_' * 100, size=(65, 1))],
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[sg.Text('Loss Functions', font=('Helvetica', 15), justification='left')],
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[sg.Radio('Cross-Entropy', 'loss', size=(12, 1)), sg.Radio('Logistic', 'loss', default=True, size=(12, 1))],
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[sg.Radio('Hinge', 'loss', size=(12, 1)), sg.Radio('Huber', 'loss', size=(12, 1))],
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[sg.Radio('Kullerback', 'loss', size=(12, 1)), sg.Radio('MAE(L1)', 'loss', size=(12, 1))],
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[sg.Radio('MSE(L2)', 'loss', size=(12, 1)), sg.Radio('MB(L0)', 'loss', size=(12, 1))],
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[sg.Submit(), sg.Cancel()]]
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button, values = form.LayoutAndRead(layout)
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