def get_statistics_card_ghsom():
return dbc.CardBody(children=[
html.Div(id='grafo_ghsom_estadisticas',
children='',
style=pu.get_css_style_center()),
html.Div(id='div_estadisticas_ghsom',
children='',
style=pu.get_css_style_center())
],
style=pu.get_css_style_inline_flex())
def get_freqmap_card_ghsom():
return dbc.CardBody(children=[
html.Div(
children=[
html.Div(id='grafo_ghsom_freq',
children='',
style=pu.get_css_style_center()),
html.Div(
id='div_freq_map_ghsom',
children=None
#,style={'margin': '0 auto','width': '100%', 'display': 'flex','align-items': 'center', 'justify-content': 'center','flex-wrap': 'wrap', 'flex-direction': 'column ' }
),
],
style=pu.get_css_style_inline_flex()),
html.Div(children=[
dbc.FormGroup([
dbc.RadioItems(
options=[
{
"label": "Linear Scale",
"value": 0
},
{
"label": "Logarithmic Scale",
"value": 1
},
],
value=0,
id="radioscale_freq_ghsom",
inline=True,
),
],
style=pu.get_css_style_center())
]),
html.Div(style=pu.get_css_style_inline_flex(),
children=[
html.H6(
dbc.Badge('Minimum hits to plot a neuron ',
pill=True,
color="light",
className="mr-1")),
html.H6(
dbc.Badge('0',
pill=True,
color="warning",
className="mr-1",
id='badge_min_hits_slider_ghsom')),
]),
dcc.Slider(id='min_hits_slider_ghsom', min=0, max=0, value=0, step=1),
])
def get_statistics_card_gsom():
return dbc.CardBody(children=[
html.Div(id='div_estadisticas_gsom',
children='',
style=pu.get_css_style_center()),
html.Div([
dbc.Button("Calculate",
id="ver_estadisticas_gsom_button",
className="mr-2",
color="primary")
],
style=pu.get_css_style_center())
])
def get_freqmap_card_gsom():
return dbc.CardBody(children=[
html.Div(id='div_freq_map_gsom',
children='',
style=pu.get_single_heatmap_css_style()),
dbc.FormGroup([
dbc.RadioItems(
options=[
{
"label": "Linear Scale",
"value": 0
},
{
"label": "Logarithmic Scale",
"value": 1
},
],
value=0,
id="radioscale_freq_gsom",
inline=True,
),
],
style=pu.get_css_style_center()),
html.Div(style=pu.get_css_style_inline_flex(),
children=[
html.H6(
dbc.Badge('Minimum hits to plot a neuron ',
pill=True,
color="light",
className="mr-1")),
html.H6(
dbc.Badge('0',
pill=True,
color="warning",
className="mr-1",
id='badge_min_hits_slider_gsom')),
]),
dcc.Slider(id='min_hits_slider_gsom', min=0, max=0, value=0, step=1),
html.Div([
dbc.Button("Plot",
id="ver_freq_map_gsom_button",
className="mr-2",
color="primary")
],
style=pu.get_css_style_center())
])
def get_umatrix_card_ghsom():
return dbc.CardBody(children=[
html.Div(
children=[
html.Div(
id='grafo_ghsom_umatrix',
children='',
#style=pu.get_css_style_inline_flex()
),
html.Div(
id='umatrix_div_fig_ghsom',
children='',
#style= pu.get_single_heatmap_css_style()
),
],
style=pu.get_css_style_inline_flex()),
html.Div(dbc.Checklist(options=[{
"label": "Label Neurons",
"value": 1
}],
value=[],
id="check_annotations_um_ghsom"),
style=pu.get_css_style_center()),
dbc.FormGroup([
dbc.RadioItems(
options=[
{
"label": "Linear Scale",
"value": 0
},
{
"label": "Logarithmic Scale",
"value": 1
},
],
value=0,
id="radioscale_umatrix_ghsom",
inline=True,
),
],
style=pu.get_css_style_center()),
])
def get_componentplans_card_gsom():
#Card: Component plans
return dbc.CardBody(children=[
html.H5("Select Features"),
dcc.Dropdown(
id='dropdown_atrib_names_gsom',
options=session_data.get_data_features_names_dcc_dropdown_format(),
multi=True),
html.Div([
dbc.Checklist(options=[{
"label": "Select All",
"value": 1
}],
value=[],
id="check_seleccionar_todos_mapas_gsom"),
dbc.Checklist(options=[{
"label": "Label Neurons",
"value": 1
}],
value=[],
id="check_annotations_comp_gsom"),
dbc.FormGroup([
dbc.RadioItems(
options=[
{
"label": "Linear Scale",
"value": 0
},
{
"label": "Logarithmic Scale",
"value": 1
},
],
value=0,
id="radioscale_cplans_gsom",
inline=True,
),
]),
dbc.Button("Plot Selected Components Map",
id="ver_mapas_componentes_button_gsom",
className="mr-2",
color="primary")
],
style=pu.get_css_style_center()),
html.Div(id='component_plans_figures_gsom_div',
children=[''],
style=pu.get_css_style_inline_flex())
])
def get_savemodel_card_ghsom():
return dbc.CardBody(children=[
html.Div(children=[
html.H5("Nombre del fichero"),
dbc.Input(id='nombre_de_fichero_a_guardar_ghsom',
placeholder="Nombre del archivo",
className="mb-3"),
dbc.Button("Guardar modelo",
id="save_model_ghsom",
className="mr-2",
color="primary"),
html.P('', id="check_correctly_saved_ghsom")
],
style=pu.get_css_style_center()),
])
def analyze_gsom_data():
# Body
body = html.Div(children=[
html.H4('Data Analysis', className="card-title"),
html.H6('Train Parameters', className="card-title"),
html.Div(id='info_table_gsom',
children=info_trained_params_gsom_table(),
style=pu.get_css_style_center()),
html.Div(children=[
dbc.Tabs(
id='tabs_gsom',
active_tab='statistics',
style=pu.get_css_style_inline_flex(),
children=[
dbc.Tab(get_select_splitted_option_card(),
label='Select Splitted Dataset Part',
tab_id='splitted_part',
disabled=(not session_data.data_splitted)),
dbc.Tab(get_statistics_card_gsom(),
label='Statistics',
tab_id='statistics'),
dbc.Tab(get_winnersmaps_card_gsom(),
label='Winners Map',
tab_id='winners_map'),
#dbc.Tab( get_freqmap_card_gsom() ,label = 'Freq Map',tab_id='freq_map'),
#dbc.Tab( get_componentplans_card_gsom() ,label = 'Component Plans',tab_id='component_plans'),
dbc.Tab(get_freq_and_cplans_cards_gsom(),
label=' Freq. Map + Component Plans',
tab_id='freq_and_cplans_gsom'),
dbc.Tab(get_umatrix_card_gsom(),
label=' U Matrix',
tab_id='umatrix'),
dbc.Tab(get_savemodel_card_gsom(),
label='Save Model',
tab_id='save_model'),
]),
])
])
############################### LAYOUT ##############################
layout = html.Div(children=[
elements.navigation_bar,
body,
])
return layout
def get_ghsom_graph_div(fig, dcc_graph_id):
children = [
dcc.Graph(id=dcc_graph_id, figure=fig),
html.P('Double click on a node to plot his map',
className="text-secondary",
style=pu.get_css_style_center())
]
div = html.Div(children=children,
style={
'margin': '0 auto',
'width': '100%',
'display': 'flex',
'align-items': 'center',
'justify-content': 'center',
'flex-wrap': 'wrap',
'flex-direction': 'column '
})
return div
def get_select_splitted_option_card():
return dbc.CardBody(
children=[
html.Div(
children=[
#dbc.Label("Select dataset portion"),
html.H5(
dbc.Badge('Select Dataset Portion',
color="info",
className="mr-1")),
html.Br(),
dbc.RadioItems(
options=[
{
"label": "Train Data",
"value": 1
},
{
"label": "Test Data",
"value": 2
},
{
"label": "Train + Test Data",
"value": 3
},
],
value=2,
id="dataset_portion_radio_analyze_ghsom",
),
html.Br(),
html.P('Replot Graps after select a new option',
className="text-secondary"),
],
style={
'display': 'inline-block',
'text-align': 'left'
},
),
],
style=pu.get_css_style_center(),
)
def get_umatrix_card_gsom():
return dbc.CardBody(children=[
html.Div(id='umatrix_div_fig_gsom',
children='',
style=pu.get_single_heatmap_css_style()),
html.Div([
dbc.Checklist(options=[{
"label": "Label Neurons",
"value": 1
}],
value=[],
id="check_annotations_umax_gsom"),
dbc.FormGroup([
dbc.RadioItems(
options=[
{
"label": "Linear Scale",
"value": 0
},
{
"label": "Logarithmic Scale",
"value": 1
},
],
value=0,
id="radioscale_umatrix_gsom",
inline=True,
),
]),
dbc.Button("Plot",
id="ver_umatrix_gsom_button",
className="mr-2",
color="primary")
],
style=pu.get_css_style_center())
])
dbc.Badge(
'adriwitek',
pill=True,
color="info",
className="mr-1",
id='badge_info_percentage_test_slider'))
]),
dbc.Button('https://github.com/adriwitek',
color="link",
href='https://github.com/adriwitek'),
html.Br(),
html.Br(),
dbc.Button(
"Close", id="button_close_about", className="ml-auto"),
],
style=pu.get_css_style_center()),
],
id="modal_about",
centered=True,
is_open=False,
),
dbc.Row(
[
dbc.Col(
dbc.Button("About", id='button_about', color="link"),
width="auto",
),
],
no_gutters=True,
className="ml-auto flex-nowrap mt-3 mt-md-0",
align="center",
def Training_animation():
session_data.reset_progressbar_value()
layout = html.Div(children=[
html.Div(id="hidden_div_for_redirect_callback"),
elements.navigation_bar,
dbc.Card(
color='light',
children=[
dbc.CardBody(
dbc.ListGroup(
[
# Modelos guardados en la app
dbc.ListGroupItem([
html.H4('Training...',
id='status_string',
className="card-title",
style=pu.get_css_style_center()),
html.Div(children=dbc.Badge(
"Elapsed Time:",
id='badge_t_transcurrido',
color="warning",
className="mr-1"),
style={'textAlign': 'center'}),
html.P(id='timer_training',
children="00 h 00 m 00 s",
className="text-muted",
style={
'font-family': 'Courier New',
'font-size': '2vw',
'textAlign': 'center'
}),
html.Div(children=get_plot_qe_evolution(),
style={'textAlign': 'center'}),
dcc.Interval(id="progress_interval",
n_intervals=0,
interval=1000,
disabled=False),
dbc.Progress(id="progressbar",
value=0,
color="warning"),
dbc.Collapse(
id='collapse_multiple_trainings',
is_open=False,
children=[
html.Div(
children=[
dbc.Label('Training model '),
dbc.Badge(
'0',
id=
'badge_current_model_training',
pill=True,
color="light",
className="mr-1"),
dbc.Label('of '),
dbc.Badge(session_data.
get_n_of_models(),
pill=True,
color="info",
className="mr-1"),
],
style=pu.get_css_style_inline_flex(
),
),
dbc.Progress(
id="progressbar_total_trainings",
value=0),
]),
html.Br(),
html.Div([
dbc.Button("Analyze Model(s)",
id="analyze_model_button",
href='',
disabled=True,
className="mr-2",
color="primary")
],
style={'textAlign': 'center'}),
]),
],
flush=True,
), )
]),
])
return layout
def get_winnersmap_card_ghsom():
return dbc.CardBody(children=[
dbc.Alert([
html.H4("Target not selected yet!", className="alert-heading"),
html.P("Please select a target below to print winners map. ")
],
color='danger',
id='alert_target_not_selected_ghsom',
is_open=True),
dbc.Alert([
html.H4("Too many different categorial targets !",
className="alert-heading"),
html.
P("Since there are more than 269(max. diferenciable discrete colors) unique targets, color representation will be ambiguous for some of them. "
)
],
color='danger',
id='output_alert_too_categorical_targets_ghsom',
is_open=False),
dcc.Dropdown(
id='dropdown_target_selection_ghsom',
options=session_data.get_targets_options_dcc_dropdown_format(),
multi=False,
value=session_data.get_target_name()),
html.Br(),
dbc.Collapse(
id='collapse_winnersmap_ghsom',
is_open=False,
children=[
html.Div(
children=[
html.Div(id='grafo_ghsom_winners',
children='',
style=pu.get_css_style_center()),
html.Div(
id='winners_map_ghsom',
children='',
#style= pu.get_single_heatmap_css_style()
),
],
style=pu.get_css_style_inline_flex()),
html.Div(dbc.Checklist(options=[{
"label": "Label Neurons",
"value": 1
}],
value=[],
id="check_annotations_winmap_ghsom"),
style=pu.get_css_style_center()),
dbc.Collapse(
id='collapse_logscale_winners_ghsom',
is_open=session_data.is_preselected_target_numerical(),
children=[
dbc.FormGroup([
dbc.RadioItems(
options=[
{
"label": "Linear Scale",
"value": 0
},
{
"label": "Logarithmic Scale",
"value": 1
},
],
value=0,
id="radioscale_winners_ghsom",
inline=True,
),
],
style=pu.get_css_style_center()),
])
])
])
def get_componentplans_card_ghsom():
return dbc.CardBody(children=[
html.H5("Seleccionar atributos para mostar:"),
dcc.Dropdown(
id='dropdown_atrib_names_ghsom',
options=session_data.get_data_features_names_dcc_dropdown_format(),
multi=True),
html.Div([
dbc.Checklist(options=[{
"label": "Check All",
"value": 1
}],
value=[],
id="check_seleccionar_todos_mapas_ghsom")
],
style=pu.get_css_style_center()),
dbc.Alert([
html.H4("Feature(s) not selected yet!", className="alert-heading"),
html.
P("Please select at least one feature below to plot his Component Plan. "
)
],
color='danger',
id='alert_cplans_not_selected_ghsom',
is_open=True),
dbc.Collapse(
id='collapse_cplan_ghsom',
is_open=False,
children=[
#html.Div(id = 'grafo_ghsom_cplans',children = '',
# style=pu.get_css_style_inline_flex()
#),
html.Div(id='component_plans_figures_ghsom_div',
children=[''],
style=pu.get_single_heatmap_css_style()),
html.Div(dbc.Checklist(options=[{
"label": "Label Neurons",
"value": 1
}],
value=[],
id="check_annotations_comp_ghsom"),
style=pu.get_css_style_center()),
dbc.FormGroup([
dbc.RadioItems(
options=[
{
"label": "Linear Scale",
"value": 0
},
{
"label": "Logarithmic Scale",
"value": 1
},
],
value=0,
id="radioscale_cplans_ghsom",
inline=True,
),
],
style=pu.get_css_style_center()),
])
])