def get_layout_from_task(task_id):
"""
:param task_id:
:return:
layout: the layout for task visualization
df : the df containing measures
"""
measures = (evaluations.list_evaluation_measures())
try:
os.remove('cache/task'+str(task_id)+'.pkl')
except OSError:
pass
layout = html.Div([
html.Div(id='intermediate-value', style={'display': 'none'}),
html.Div(children=[
# Dropdown to choose metric
html.Div(
[dcc.Dropdown(
id='metric',
options=[
{'label': i, 'value': i} for i in measures
],
multi=False,
clearable=False,
placeholder="Select an attribute",
value=measures[0]
)],
style={'width': '30%', 'display': 'inline-block',
'position': 'relative'},
),
# Scatter plot flow vs metric
dcc.Tabs(id="tabs", children=[
dcc.Loading(fullscreen=True, children=[
dcc.Tab(label='Evaluations', children=[html.Div(id='tab1')])]),
dcc.Tab(label='People', children=[html.Div(id='tab2')])
]),
html.Div(html.Button('Fetch next 1000 runs', id='button')),
]),
], style={"fontFamily": font, 'width':'100%'})
return layout, pd.DataFrame(measures)
def get_layout_from_flow(flow_id):
"""
:param flow_id:
:return:
"""
measures = (evaluations.list_evaluation_measures())
task_types = [
"Supervised classification", "Supervised regression", "Learning curve",
"Supervised data stream classification", "Clustering",
"Machine Learning Challenge", "Survival Analysis", "Subgroup Discovery"
]
setup_list = setups.list_setups(flow=flow_id,
size=1,
output_format='dataframe')
parameter_dict = setup_list['parameters'].values[0]
parameters = [param['full_name'] for key, param in parameter_dict.items()]
parameters.append('None')
# Define components of flow layout
dropdown_metric = html.Div(
[
dcc.Dropdown(id='metric',
options=[{
'label': i,
'value': i
} for i in measures],
multi=False,
clearable=False,
placeholder="Select an attribute",
value=measures[0])
],
style={
'width': '30%',
'display': 'inline-block',
'position': 'relative'
},
)
dropdown_tasktype = html.Div(
[
dcc.Dropdown(id='tasktype',
options=[{
'label': i,
'value': i
} for i in task_types],
multi=False,
clearable=False,
placeholder="Select an attribute",
value=task_types[0])
],
style={
'width': '30%',
'display': 'inline-block',
'position': 'relative'
},
)
dropdown_parameter = html.Div(
[
dcc.Dropdown(id='parameter',
options=[{
'label': i,
'value': i
} for i in parameters],
multi=False,
clearable=False,
placeholder="Select an attribute",
value=parameters[-1])
],
style={
'width': '30%',
'display': 'inline-block',
'position': 'relative'
},
)
flow_graph = html.Div([
dcc.Loading(
dcc.Graph(id='flowplot',
style={
'height': '100%',
'width': '100%',
'position': 'absolute'
}))
])
layout = html.Div([
html.Div(id='intermediate-value', style={'display': 'none'}),
html.Div(children=[
dropdown_metric, dropdown_tasktype, dropdown_parameter, flow_graph
])
])
return layout
def get_layout_from_task(task_id):
"""
:param task_id:
:return:
layout: the layout for task visualization
"""
measures = (evaluations.list_evaluation_measures())
try:
os.remove('cache/task' + str(task_id) + '.pkl')
except OSError:
pass
# Define components in task layout
loading_spinner = dcc.Loading(html.Div(id='dummy'), type='dot')
hidden_div = html.Div(id='intermediate-value', style={'display': 'none'})
metric_dropdown = html.Div(
[
dcc.Dropdown(id='metric',
options=[{
'label': i,
'value': i
} for i in measures],
multi=False,
clearable=False,
placeholder="Select an attribute",
value=measures[0])
],
style={
'width': '30%',
'display': 'inline-block',
'position': 'relative'
},
)
fetch_runs_button = html.Div(
html.Button('Fetch next 100 runs',
id='button',
style={
'fontSize': 14,
'color': 'black',
'width': '20',
'height': '30',
'background-color': 'white'
}))
graph_evals = html.Div(id='tab1')
graph_people = html.Div(id='tab2')
layout = html.Div([
loading_spinner,
hidden_div,
html.Div(children=[
metric_dropdown,
html.H4('Evaluations:'),
graph_evals,
html.H4('People:'),
graph_people,
html.P(" "),
html.P(" "),
fetch_runs_button,
]),
],
style={'width': '100%'})
return layout
def get_layout_from_flow(flow_id):
"""
:param flow_id:
:return:
"""
# Define components of flow layout
# Metric dropdown
measures = evaluations.list_evaluation_measures()
dropdown_metric = html.Div(
[
dcc.Dropdown(
id="metric",
options=[{
"label": i,
"value": i
} for i in measures],
multi=False,
clearable=False,
placeholder="Select an attribute",
value=measures[0],
)
],
className="three columns",
style={
"display": "inline-block",
"position": "relative"
},
)
# Task type dropdown
task_types = [
"Supervised classification",
"Supervised regression",
"Learning curve",
"Supervised data stream classification",
"Clustering",
"Machine Learning Challenge",
"Survival Analysis",
"Subgroup Discovery",
]
dropdown_tasktype = html.Div(
[
dcc.Dropdown(
id="tasktype",
options=[{
"label": i,
"value": i
} for i in task_types],
multi=False,
clearable=False,
placeholder="Select an attribute",
value=task_types[0],
)
],
style={
"display": "inline-block",
"position": "relative"
},
className="three columns",
)
# parameters dropdown
setup_list = setups.list_setups(flow=flow_id,
size=1,
output_format="dataframe")
parameter_dict = setup_list["parameters"].values[0]
parameters = [param["full_name"] for key, param in parameter_dict.items()]
parameters.append("None")
dropdown_parameter = html.Div(
[
dcc.Dropdown(
id="parameter",
options=[{
"label": i,
"value": i
} for i in parameters],
multi=False,
clearable=False,
placeholder="Select an attribute",
value=parameters[-1],
)
],
style={
"display": "inline-block",
"position": "relative"
},
className="four columns",
)
# Flow evaluations plot
flow_graph = html.Div(
[
dcc.Loading(
dcc.Graph(id="flowplot",
style={
"height": "100%",
"position": "absolute"
}))
],
className="twelve columns",
)
layout = html.Div(
[
html.Div(id="intermediate-value", style={"display": "none"}),
html.Div(children=[
dropdown_metric,
dropdown_tasktype,
dropdown_parameter,
flow_graph,
]),
],
className="container",
)
return layout
def get_layout_from_task(task_id):
"""
:param task_id:
:return:
layout: the layout for task visualization
"""
try:
os.remove("cache/task" + str(task_id) + ".pkl")
except OSError:
pass
# Define components in task layout
loading_spinner = dcc.Loading(html.Div(id="dummy"), type="dot")
hidden_div = html.Div(id="intermediate-value", style={"display": "none"})
# Metrics dropdown
measures = evaluations.list_evaluation_measures()
metric_dropdown = html.Div(
[
dcc.Dropdown(
id="metric",
options=[{
"label": i,
"value": i
} for i in measures],
multi=False,
clearable=False,
placeholder="Select an attribute",
value=measures[0],
)
],
style={
"width": "30%",
"display": "inline-block",
"position": "relative"
},
)
# Fetch more runs button
fetch_runs_button = html.Div(
html.Button(
"Fetch next 100 runs",
id="button",
style={
"fontSize": 14,
"color": "black",
"width": "20",
"height": "30",
"background-color": "white",
},
))
# Graphs
graph_evals = html.Div(id="tab1")
graph_people = html.Div(id="tab2")
layout = html.Div(
[
loading_spinner,
hidden_div,
html.Div(children=[
metric_dropdown,
html.P(" "),
html.P(" "),
html.H4("Evaluations:"),
graph_evals,
html.H4("People:"),
graph_people,
html.P(" "),
html.P(" "),
fetch_runs_button,
# html.Div(id="tab3")
]),
],
className="container",
# style={'overflowY': 'hidden'}
)
return layout
def get_layout_from_flow(flow_id):
"""
:param flow_id:
:return:
"""
# Dropdown #1 Metrics
measures = (evaluations.list_evaluation_measures())
df = pd.DataFrame(measures)
# Dropdown #2 task types
task_types = ["Supervised classification", "Supervised regression", "Learning curve",
"Supervised data stream classification", "Clustering", "Machine Learning Challenge",
"Survival Analysis", "Subgroup Discovery"]
# Dropdown #3 flow parameters
P = setups.list_setups(flow=flow_id, size=1, output_format='dataframe')
parameter_dict = P['parameters'].values[0]
parameters = [param['full_name'] for key, param in parameter_dict.items()]
parameters.append('None')
layout = html.Div([
html.Div(id='intermediate-value', style={'display': 'none'}),
html.Div(children=[
# 1 Dropdown to choose metric
html.Div(
[dcc.Dropdown(
id='metric',
options=[
{'label': i, 'value': i} for i in measures
],
multi=False,
clearable=False,
placeholder="Select an attribute",
value=measures[0]
)],
style={'width': '30%', 'display': 'inline-block',
'position': 'relative'},
),
# 2 Dropdown to choose task type
html.Div(
[dcc.Dropdown(
id='tasktype',
options=[
{'label': i, 'value': i} for i in task_types
],
multi=False,
clearable=False,
placeholder="Select an attribute",
value=task_types[0]
)],
style={'width': '30%', 'display': 'inline-block',
'position': 'relative'},
),
# 3 Dropdown to choose parameter
html.Div(
[dcc.Dropdown(
id='parameter',
options=[
{'label': i, 'value': i} for i in parameters
],
multi=False,
clearable=False,
placeholder="Select an attribute",
value=parameters[-1]
)],
style={'width': '30%', 'display': 'inline-block',
'position': 'relative'},
),
html.Div(
[dcc.Loading(dcc.Graph(
id='flowplot',
style={'height': '100%', 'width': '100%',
'position': 'absolute'}))],
),
]),
],style={"fontFamily": font})
return layout, df