def update_train5_prediction(n_clicks, value):
global model
if value == '':
return layout.get_empty_figure(height=100)
if n_clicks > 0:
local_sample = Sample(path='BP-data/data/' + value, model=model)
local_prediction = Prediction(sample=local_sample)
return local_prediction.get_figure(small=True)
else:
return layout.get_empty_figure(height=100)
def update_train5_content(n_clicks, value1, value2):
if value2 == '':
return layout.get_empty_figure(height=650)
if n_clicks > 0:
if value1 == 'code':
local_seesoft = SeeSoft(path='BP-data/data/' + value2,
comments=True)
local_seesoft.draw()
return local_seesoft.get_figure(small=True)
else:
local_tree = Tree(path='BP-data/data/' + value2)
return local_tree.get_figure()
else:
return layout.get_empty_figure(height=650)
def update_network(children):
global sample
if children != '':
local_network = Network(sample=sample)
return local_network.get_figure()
else:
return layout.get_empty_figure(height=900)
def update_input_prediction(children):
global prediction
global sample
if children != '':
prediction = Prediction(sample=sample)
return prediction.get_figure()
else:
return layout.get_empty_figure(height=120)
def update_input_tree(children):
global tree
global sample
if children != '':
tree = Tree(data=sample.data)
return tree.get_figure(horizontal=True)
else:
return layout.get_empty_figure(height=250)
def update_input_scatterplot(children):
global scatterplot
global sample
if children != '':
scatterplot = ScatterPlot(data=sample.data)
return scatterplot.get_figure(show_legend=True, show_text=True)
else:
return layout.get_empty_figure(height=200)
def update_clusters(children, value1, n_clicks2, n_clicks3, n_clicks4,
n_clicks5, n_clicks6, value2, value3, value4, value5,
value6):
global click_counter
global sample
global clusters
if children != '':
# handle train1 sample highlight
if n_clicks2 > 0:
if value2 == '':
clusters.train_samples[0] = None
else:
clusters.train_samples[0] = value2
# handle train2 sample highlight
if n_clicks3 > 0:
if value3 == '':
clusters.train_samples[1] = None
else:
clusters.train_samples[1] = value3
# handle train3 sample highlight
if n_clicks4 > 0:
if value4 == '':
clusters.train_samples[2] = None
else:
clusters.train_samples[2] = value4
# handle train4 sample highlight
if n_clicks5 > 0:
if value5 == '':
clusters.train_samples[3] = None
else:
clusters.train_samples[3] = value5
# handle train5 sample highlight
if n_clicks6 > 0:
if value6 == '':
clusters.train_samples[4] = None
else:
clusters.train_samples[4] = value6
# click counter used so that the cluster diagram is only updated when
# the new JSON file is chosen
if int(children) == click_counter:
return clusters.get_figure(algorithm=value1)
click_counter = int(children)
clusters.add_sample(sample)
return clusters.get_figure(algorithm=value1)
else:
return layout.get_empty_figure(height=500)
def update_sample_prediction(children):
global prediction
if children != '':
while not prediction:
time.sleep(0.5)
return prediction.get_figure(small=True)
else:
return layout.get_empty_figure(height=100)
def update_input_seesoft(children):
global seesoft
global sample
if children != '':
seesoft = SeeSoft(data=sample.data)
seesoft.draw()
return seesoft.get_figure()
else:
return layout.get_empty_figure(height=750)
def update_sample_content(children, value):
global seesoft
global tree
if children != '':
if value == 'code':
while not seesoft:
time.sleep(0.5)
return seesoft.get_figure(small=True)
else:
while not tree:
time.sleep(0.5)
return tree.get_figure()
else:
return layout.get_empty_figure(height=650)
# large div for source code visualization
html.Div(
children=[
# colorful original lua source code
html.Div(id='luacode-div',
children=[layout.get_empty_div(height=750)],
style={
'height': '800px',
'float': 'left',
'width': '520px',
'padding-left': '10px',
'padding-right': '10px',
}),
# minimized colorful representation of source code
dcc.Graph(id='seesoft-content',
figure=layout.get_empty_figure(height=750),
config={'displayModeBar': False},
style={
'max-height': '750px',
'float': 'left',
'width': '200px',
'padding': '10px',
}),
# legend for both source code visualizations
html.Img(src=layout.get_legend_image(),
style={
'position': 'absolute',
'top': '1000px',
'left': '180px'
}),
# heading
