Nothing
fv_ecdf_single_budget_box <- function(width = 12, collapsible = T, collapsed = T) {
box(
title = HTML('<p style="font-size:120%;">Empirical Cumulative Distribution of
the Fixed-Budget Values: Single Budgets</p>'),
width = width, collapsible = collapsible, collapsed = collapsed,
solidHeader = TRUE, status = "primary",
sidebarLayout(
sidebarPanel(
width = 3,
selectInput('FCEECDF.Single.Algs', label = 'Select which IDs to include:',
multiple = T, selected = NULL, choices = NULL) %>% shinyInput_label_embed(
custom_icon() %>%
bs_embed_popover(
title = "ID selection", content = alg_select_info,
placement = "auto"
)
),
HTML('Select the budgets for which EDCF curves are displayed '),
textInput('FCEECDF.Single.Target', label = HTML('<p>\\(B_1\\)</p>'), value = ''),
checkboxInput('FCEECDF.Single.Logx', label = 'Scale x axis \\(\\log_{10}\\)', value = F),
hr(),
selectInput('FCEECDF.Single.Format', label = 'Select the figure format',
choices = supported_fig_format, selected = supported_fig_format[[1]]),
downloadButton('FCEECDF.Single.Download', label = 'Download the figure')
),
mainPanel(
width = 9,
column(
width = 12, align = "center",
HTML_P('Each EDCF curve shows the proportion of the runs that have found
within the given budget B a solution of at least the required target
value given by the x-axis. The displayed curves can be selected
by clicking on the legend on the right. A <b>tooltip</b> and <b>toolbar</b>
appears when hovering over the figure.</p>'),
plotlyOutput.IOHanalyzer("FCE_ECDF_PER_TARGET")
)
)
)
)
}
fv_ecdf_agg_budgets_box <- function(width = 12, collapsible = T, collapsed = T) {
box(
title = HTML('<p style="font-size:120%;">Empirical Cumulative Distribution
of the Fixed-Budget Values: Aggregation</p>'),
width = width, collapsible = collapsible, collapsed = collapsed,
solidHeader = T, status = "primary",
sidebarPanel(
width = 3,
selectInput('FCEECDF.Mult.Algs', label = 'Select which IDs to include:',
multiple = T, selected = NULL, choices = NULL) %>% shinyInput_label_embed(
custom_icon() %>%
bs_embed_popover(
title = "ID selection", content = alg_select_info,
placement = "auto"
)
),
HTML('<p align="justify">Set the range and the granularity of the budgets
taken into account in the ECDF curve. The plot will show the ECDF curves
for evenly spaced budgets.</p>'),
textInput('FCEECDF.Mult.Min', label = RT_MIN_LABEL, value = ''),
textInput('FCEECDF.Mult.Max', label = RT_MAX_LABEL, value = ''),
textInput('FCEECDF.Mult.Step', label = RT_STEP_LABEL, value = ''),
#
# checkboxInput('FCEECDF.Mult.Targets',
# label = 'Show ECDF for each budget',
# value = F),
checkboxInput('FCEECDF.Mult.Logx',
label = 'Scale x axis \\(\\log_{10}\\)',
value = F),
hr(),
selectInput('FCEECDF.Mult.Format', label = 'Select the figure format',
choices = supported_fig_format, selected = supported_fig_format[[1]]),
downloadButton('FCEECDF.Mult.Download', label = 'Download the figure')
),
mainPanel(
width = 9,
column(
width = 12, align = "center",
HTML_P('The evenly spaced budget values are:'),
verbatimTextOutput('FCE_RT_GRID'),
HTML_P('The fraction of (run,budget) pairs \\((i,B)\\) satisfying that the best
solution that the algorithm has found in the \\(i\\)-th run within the
first \\(B\\) evaluations has quality at <b>most</b> \\(v\\) is plotted
against the target value \\(v\\). The displayed elements can be switched
on and off by clicking on the legend on the right. A <b>tooltip</b> and
<b>toolbar</b> appears when hovering over the figure.'),
plotlyOutput.IOHanalyzer('FCE_ECDF_AGGR')
)
)
)
}
fv_ecdf_auc_box <- function(width = 12, collapsible = T, collapsed = T) {
box(
title = HTML('<p style="font-size:120%;">Area Under the ECDF</p>'),
width = width, collapsible = collapsible, collapsed = collapsed,
solidHeader = T, status = "primary",
sidebarPanel(
width = 3,
selectInput('FCEECDF.AUC.Algs', label = 'Select which IDs to include:',
multiple = T, selected = NULL, choices = NULL) %>% shinyInput_label_embed(
custom_icon() %>%
bs_embed_popover(
title = "ID selection", content = alg_select_info,
placement = "auto"
)
),
HTML('<p align="justify">Set the range and the granularity of the evenly spaced budgets.</p>'),
textInput('FCEECDF.AUC.Min', label = RT_MIN_LABEL, value = ''),
textInput('FCEECDF.AUC.Max', label = RT_MAX_LABEL, value = ''),
textInput('FCEECDF.AUC.Step', label = RT_STEP_LABEL, value = ''),
hr(),
selectInput('FCEECDF.AUC.Format', label = 'select the figure format',
choices = supported_fig_format, selected = supported_fig_format[[1]]),
downloadButton('FCEECDF.AUC.Download', label = 'download the figure')
),
mainPanel(
width = 9,
column(
width = 12, align = "center",
HTML_P('The <b>area under the ECDF</b> is
caculated for the sequence of budget values specified on the left. The displayed
values are normalized against the maximal target value recorded for
each algorithm. Intuitively, the <b>smaller</b> the area, the <b>better</b> the algorithm.
The displayed IDs can be selected by clicking on the legend on the right.
A <b>tooltip</b> and <b>toolbar</b> appears when hovering over the figure.'),
plotlyOutput.IOHanalyzer("FCE_AUC")
)
)
)
}
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