Nothing
# empirical p.m.f. of the runtime
output$RT_PMF <- renderPlotly({
render_RT_PMF()
})
output$RTPMF.Bar.Download <- downloadHandler(
filename = function() {
eval(FIG_NAME_RT_PMF)
},
content = function(file) {
save_plotly(render_RT_PMF(), file)
},
contentType = paste0('image/', input$RTPMF.Bar.Format)
)
get_data_RT_PMF <- reactive({
ftarget <- input$RTPMF.Bar.Target %>% as.numeric
data <- subset(DATA(), ID %in% input$RTPMF.Bar.Algs)
generate_data.PMF(data, ftarget, 'by_RT')
})
render_RT_PMF <- reactive({
withProgress({
plot_general_data(get_data_RT_PMF(), 'ID', 'RT', scale.ylog = input$RTPMF.Bar.Logy,
x_title = "Algorithm", y_title = "Function Evaluations",
violin.showpoints = input$RTPMF.Bar.Points)
# ftarget <- input$RTPMF.Bar.Target %>% as.numeric
# data <- subset(DATA(), algId %in% input$RTPMF.Bar.Algs)
# Plot.RT.PMF(data, ftarget, show.sample = input$RTPMF.Bar.Sample,
# scale.ylog = input$RTPMF.Bar.Logy)
},
message = "Creating plot")
})
# historgram of the running time
output$RT_HIST <- renderPlotly({
req(input$RTPMF.Bar.Target)
render_RT_HIST()
})
output$RTPMF.Hist.Download <- downloadHandler(
filename = function() {
eval(FIG_NAME_RT_HIST)
},
content = function(file) {
save_plotly(render_RT_HIST(), file)
},
contentType = paste0('image/', input$RTPMF.Hist.Format)
)
get_data_RT_HIST <- reactive({
ftarget <- format_FV(input$RTPMF.Hist.Target) %>% as.numeric
data <- subset(DATA(), ID %in% input$RTPMF.Hist.Algs)
generate_data.hist(data, ftarget, input$RTPMF.Hist.Equal, 'by_RT')
})
render_RT_HIST <- reactive({
req(input$RTPMF.Hist.Target)
withProgress({
# ftarget <- format_FV(input$RTPMF.Hist.Target) %>% as.numeric
#
# # TODO: remove 'DataSetList' in the future
# data <- subset(DATA(), algId %in% input$RTPMF.Hist.Algs)
#
# Plot.RT.Histogram(data, ftarget, plot_mode = input$RTPMF.Hist.Mode,
# use.equal.bins = input$RTPMF.Hist.Equal)
subplot_attr <- if (input$RTPMF.Hist.Mode == 'subplot') 'ID' else NULL
plot_general_data(get_data_RT_HIST(), 'x', 'y', width = 'width', type = 'hist',
subplot_attr = subplot_attr, x_title = "Function Evaluations",
y_title = "Runs")
},
message = "Creating plot")
})
# --------------------------- Cumulative difference plot RT
get_data_RT_CDP <- reactive({
target <- input$RTPMF.CDP.Target %>% as.numeric
data <- subset(DATA(), ID %in% input$RTPMF.CDP.Algs)
confidence <- input$RTPMF.CDP.Confidence %>% as.numeric
generate_data.CDP(data, target, isFixedBudget = FALSE, isMinimizationProblem = TRUE, alpha = 1 - confidence)
})
render_RT_CDP <- reactive({
req(input$RTPMF.CDP.Target != "", length(DATA()) > 0) # require non-empty input
withProgress({
target <- input$RTPMF.CDP.Target %>% as.numeric
data <- subset(DATA(), ID %in% input$RTPMF.CDP.Algs)
Plot.cumulative_difference_plot(data, 0, isFixedBudget = FALSE, isMinimizationProblem=NULL, dataAlreadyComputed = TRUE, precomputedData = get_data_RT_CDP())
},
message = "Creating plot")
})
output$RTPMF.CDP.Download <- downloadHandler(
filename = function() {
eval(FIG_NAME_RT_CDP)
},
content = function(file) {
save_plotly(render_RT_CDP(), file)
},
contentType = paste0('image/', input$RTPMF.CDP.Format)
)
output$RT_CDP <- renderPlotly({
render_RT_CDP()
})
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