-
Notifications
You must be signed in to change notification settings - Fork 0
/
ui.R
66 lines (60 loc) · 2.79 KB
/
ui.R
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
#
# This is the user-interface definition of a Shiny web application. You can
# run the application by clicking 'Run App' above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
# Define UI for application that draws a histogram
shinyUI(fluidPage(
# Application title
titlePanel("Gaussian Process demo"),
# Description
helpText("The Gaussian Process is a flexible machine learning",
"method, with some similarities to the support vector",
"machine. In this example the Lake Heuron data is",
"fitted with a Gaussian Process consisting of a",
"combination of three covariance functions: a pure noise,",
"a periodic, and a long-term covariance. You can adjust",
"the sliders to set the relative proportion of each",
"function to the total data variance and their scale",
"parameters. The log-likelihood is displayed below the",
"plot."),
# Sidebar with sliders for the parameters
sidebarLayout(
sidebarPanel(
sliderInput("prop",
"Proportion of noise/periodic/long-term variance (%)",
min = 1,
max = 100,
value = c(10,50)),
sliderInput("range_periodic",
"Range of periodic variance (years)",
min = 1,
max = 100,
value = 10),
sliderInput("period",
"Period (years)",
min = 1,
max = 20,
value = 10),
sliderInput("smooth_periodic",
"Smoothness of periodic variance",
min = 1,
max = 30,
value = 5),
sliderInput("range_trend",
"Range of long-term variance (years)",
min = 1,
max = 100,
value = 20)
),
# Show a plot of the generated distribution
mainPanel(
plotOutput("GPplot"),
h3(textOutput("Likelihood"))
)
)
))