{
'label': 'Rulers\' Corruption',
'value': 'adapt_rul'
}, # FIXME: 3 states
{
'label': 'Reformation',
'value': 'reform'
},
],
vals=['forg', 'adapt_rul', 'reform']),
drc.NamedSlider(
name="Initial Allocation Unfairness",
id='slider-u',
marks={i / 10: i / 10
for i in range(10)},
min=0,
max=1,
value=UInit,
step=0.01,
updatemode='drag',
vertical=False),
drc.NamedSlider(
name="Initial Non-Compliance",
id='slider-pcheat',
marks={i / 10: i / 10
for i in range(10)},
min=0.01,
max=1,
value=PCheatInit,
step=0.01,
updatemode='drag'),
def genMainNav(self):
dataDict = self.currentBlogInfo.copy()
dataDict['data-buttons'] = (0,0,0)
for k in ['data-updateIndex', 'data-updateTag', 'data-updateType', 'data-updateBlog', 'data-updateButtonIndex']:
dataDict[k] = 0
nav = html.Div([
html.Div(id='state_container',
style={'display': 'none'},
**dataDict,
),
html.Div([
drc.NamedDropdown(
name = 'Blog',
id = 'blog_selector',
options=[{'value' : n, 'label' : n} for n in self.names],
value=self['data-blogName'],
),
#drc.NamedDropdown(
# name = 'Tag Filter',
# id = 'tag_filter',
# options=self.genCurrentTagOptions(withNum = False),
# value='None',
# multi = True,
#),
drc.NamedDropdown(
name = 'Tags',
id = 'tags_selector',
options=self.genTypeTags(withNum = True),
value='None',
),
drc.NamedSlider(
name = 'Post',
id = 'post_selector',
min = 0,
max = self['data-maxIndex'],
step = 1,
value = 0,
marks = self.genPostSelectorMarks(),
updatemode = 'mouseup',
),
drc.NamedRadioItems(
name = 'Type',
id = 'type_selector',
options = self.genTypesDict(),
value = self['data-postType'],
),
html.Button(id='previous_button', n_clicks=0, children='Previous'),
html.Button(id='next_button', n_clicks=0, children='Next'),
drc.NamedDropdown(
name = 'Current Tags',
id = 'current_tags',
options=self.genCurrentTagOptions(withNum = False),
value=self['data-postTag'],
multi = True,
),
], className = 'sidenav'),
html.Div([
self.currentHTML(),
], id = 'tumblr_entry')
])
return nav
def serve_layout():
# Generates a session ID
session_id = str(uuid.uuid4())
# Post the image to the right key, inside the bucket named after the
# session ID
store_image_string(utils.IMAGE_STRING_PLACEHOLDER, session_id)
# App Layout
return html.Div(
id="root",
children=[
# Session ID
html.Div(session_id, id="session-id"),
# Main body
html.Div(
id="app-container",
children=[
# Banner display
html.Div(
id="banner",
children=[ html.Img( id="logo", src=app.get_asset_url("logo_infinity.png")),
html.H2("Infinity.AI", id="title"),],),
html.Div(
id="image",
children=[
# The Interactive Image Div contains the dcc Graph
# showing the image, as well as the hidden div storing
# the true image
html.Div( id="div-interactive-image", children= [ utils.GRAPH_PLACEHOLDER,
html.Div(id="div-storage",children=utils.STORAGE_PLACEHOLDER,),],)
],),
],),
# Sidebar
html.Div(
id="sidebar",
children=[
drc.Card([
dcc.Upload(
id="upload-image",
children=[ "Drag and Drop or ", html.A(children="Select a File"),],
# No CSS alternative here
style={
"color": "darkgray",
"width": "100%",
"height": "50px",
"lineHeight": "50px",
"borderWidth": "1px",
"borderStyle": "dashed",
"borderRadius": "5px",
"borderColor": "darkgray",
"textAlign": "center",
"padding": "2rem 0",
"margin-bottom": "2rem",
},
accept="*",),
drc.CustomDropdown(
id="dropdown-filters",
options=[
{"label": "Time-Series Forecasting", "value": "time-series"},
{"label": "Classification", "value": "classification"},
{"label": "Regression", "value": "regression"},
{"label": "Topic-Modeling", "value": "topic-modeling"},
],
searchable=False,
placeholder="Select Problem",),
drc.CustomDropdown(
id="dropdown-models",
options=[
{"label": "ARIMA", "value": "ARIMA"},
{"label": "HoltsWinter", "value": "HoltsWinter"},
{"label": "FbProphet", "value": "FbProphet"},
{"label": "Random Forest", "value": "randomForest"},
{"label": "Neural Network", "value": "neural_network"},
{"label": "LSTM", "value": "LSTM"},
{"label": "XGBoost", "value": "xgBoost"},
{"label": "SVM", "value": "svm"},
{"label": "Linear Regression", "value": "lin_reg"},
{"label": "Ridge Regression", "value": "ridge_reg"},
{"label": "Lasso Regression", "value": "lasso_reg"},
{"label": "ElasticNet Regression", "value": "elasticnet_reg"},
{"label": "GARCH", "value": "garch"},
{"label": "TBATS", "value": "tbats"},
{"label": "Croston", "value": "croston"},
],
searchable=False,
multi=True,
placeholder="Select Models",),
drc.CustomDropdown(
id="dropdown-terms",
options=[
{"label": "4 Weeks", "value": 4},
{"label": "8 Weeks", "value": 8},
{"label": "12 Weeks", "value": 12},
{"label": "26 Week", "value": 26},
{"label": "52 Weeks", "value": 52},
],
searchable=False,
multi=True,
placeholder="Select Forecast Term",),
drc.CustomDropdown(
id="dropdown-ensemble",
options=[
{"label": "Yes", "value": True},
{"label": "No", "value": False},
],
searchable=False,
placeholder="Select Ensemble",),
drc.CustomDropdown(
id="dropdown-cross_validation",
options=[
{"label": "K-Fold", "value": "KFold"},
{"label": "Leave One Out", "value": 'LeaveOneOut'},
{"label": "train-val-holdout", "value": 'train_val_holdout'},
{"label": "Leave P Out", "value": 'LeavePOut'},
],
searchable=False,
placeholder="Select Cross-Validation",),
drc.CustomDropdown(
id="dropdown-fold_split",
options=[
{"label": "3", "value": 3},
{"label": "5", "value": 5},
{"label": "7", "value": 7},
{"label": "10", "value": 10},
{"label": "12", "value": 12},
{"label": "15", "value": 15},
],
searchable=False,
multi=True,
placeholder="Select Fold Split",),
html.Div(
id="div-enhancement-factor",
children=[ f"Enhancement Factor:",
html.Div(
children=dcc.Slider(
id="slider-enhancement-factor",
min=0,
max=2,
step=0.1,
value=1,
updatemode="drag",)),],),
drc.NamedSlider(
name="Train Ratio",
id="train_ratio",
min=0.5,
max=1.0,
step=0.1,
value=0.6,),
drc.NamedSlider(
name="Test Ratio",
id="test_ratio",
min=0.0,
max=0.25,
step=0.05,
value=0.1,),
html.Div(
id="button-group",
children=[
html.Button( "Run Operation", id="button-run-operation"),],),
# drc.NamedInlineRadioItems(
# name="Select Problem",
# short="selection-mode",
# options=[
# {"label": " Time-Series", "value": "select"},
# {"label": " Classification", "value": "classification"},
# {"label": " Regression", "value": "regression"},
# ],
# val="select",
# ),
# drc.NamedInlineRadioItems(
# name="Image Display Format",
# short="encoding-format",
# options=[
# {"label": " JPEG", "value": "jpeg"},
# {"label": " PNG", "value": "png"},
# ],
# val="jpeg",
# ),
]),
# drc.Card([
# # drc.NamedInlineInput(
# # name="n_steps_ahead",
# # short="n_steps_ahead",
# # placeholder="13",
# # type_input='text',
# # val="13",),
# ]),
# drc.Card([
# drc.CustomDropdown(
# id="dropdown-filters",
# options=[
# {"label": "Time-Series Forecasting", "value": "time-series"},
# {"label": "Classification", "value": "classification"},
# {"label": "Regression", "value": "regression"},
# {"label": "Topic-Modeling", "value": "topic-modeling"},],
# searchable=False,
# placeholder="Select Problem...",),
# # drc.CustomDropdown(
# # id="dropdown-enhance",
# # options=[
# # {"label": "Brightness", "value": "brightness"},
# # {"label": "Color Balance", "value": "color"},
# # {"label": "Contrast", "value": "contrast"},
# # {"label": "Sharpness", "value": "sharpness"},
# # ],
# # searchable=False,
# # placeholder="Enhance...",
# # ),
# html.Div(
# id="div-enhancement-factor",
# children=[ f"Enhancement Factor:",
# html.Div(
# children=dcc.Slider(
# id="slider-enhancement-factor",
# min=0,
# max=2,
# step=0.1,
# value=1,
# updatemode="drag",)),],),
# html.Div(
# id="button-group",
# children=[
# html.Button( "Run Operation", id="button-run-operation"),],),
# ]
# ),
dcc.Graph(
id="graph-histogram-colors",
figure={
"layout": {
"paper_bgcolor": "#272a31",
"plot_bgcolor": "#272a31",}},
config={"displayModeBar": False},),
],
),
],
)
},
],
value='training',
clearable=False,
searchable=False)),
]),
html.Div(
className='row',
children=[
html.Div(
className='four columns',
children=drc.NamedSlider(
name='Polynomial Degree',
id='slider-polynomial-degree',
min=1,
max=10,
step=1,
value=1,
marks={i: str(i)
for i in range(1, 11)},
)),
html.Div(
className='four columns',
children=drc.NamedSlider(
name='Alpha (Regularization Term)',
id='slider-alpha',
min=-4,
max=3,
value=0,
marks={
i: '{}'.format(10**i)
for i in range(-4, 4)
drc.NamedCard(
title="Background",
size=4,
children=[
drc.NamedInput(
name="Node Color",
id="input-node-color",
type="text",
placeholder="Enter Color in Hex...",
),
drc.NamedSlider(
name="Node Opacity",
id="slider-node-opacity",
min=0,
max=1,
marks={
0: "0",
1: "1"
},
step=0.05,
value=1,
),
drc.NamedSlider(
name="Node Blacken",
id="slider-node-blacken",
min=0,
max=1,
marks={
0: "0",
1: "1"
},
step=0.05,
'value': n,
'label': n
} for n in Backend.names],
value=Backend['data-blogName'],
),
drc.NamedDropdown(
name='Tags',
id='tags_selector',
options=Backend.genCurrentTagOptions(withNum=True),
value='None',
),
drc.NamedSlider(
name='Post',
id='post_selector',
min=0,
max=Backend['data-maxIndex'],
step=1,
value=0,
marks=Backend.genPostSelectorMarks(),
updatemode='mouseup',
),
drc.NamedRadioItems(
name='Type',
id='type_selector',
options=Backend.genTypesDict(),
value=Backend['data-postType'],
),
html.Button(id='previous_button', n_clicks=0, children='Previous'),
html.Button(id='next_button', n_clicks=0, children='Next'),
drc.NamedDropdown(
name='Current Tags',
id='current_tags',