| TestDataC {prcbench} | R Documentation |
TestDataC
Description
R6 class of test dataset for Precision-Recall curve evaluation.
Format
An R6 class object.
Details
TestDataC is a class that contains scores and label for performance
evaluation tools. It provides necessary methods for curve evaluation.
Super class
prcbench::TestDataB -> TestDataC
Methods
Public methods
Inherited methods
Method set_basepoints_x()
Set pre-calculated recall values for curve evaluation.
Usage
TestDataC$set_basepoints_x(x)
Arguments
xA recall value.
Method set_basepoints_y()
Set pre-calculated precision values for curve evaluation.
Usage
TestDataC$set_basepoints_y(y)
Arguments
yA precision value.
Method get_basepoints_x()
Get pre-calculated recall values for curve evaluation.
Usage
TestDataC$get_basepoints_x()
Method get_basepoints_y()
Get pre-calculated precision values for curve evaluation.
Usage
TestDataC$get_basepoints_y()
Method set_textpos_x()
Set the position x for displaying the test result in a plot.
Usage
TestDataC$set_textpos_x(x)
Arguments
xPosition x of the test result.
Method set_textpos_y()
Set the y position for displaying the test result in a plot.
Usage
TestDataC$set_textpos_y(y)
Arguments
yPosition y of the test result.
Method set_textpos_x2()
Set the x position for displaying the test result in a plot.
Usage
TestDataC$set_textpos_x2(x)
Arguments
xPosition x of the test result.
Method set_textpos_y2()
Set the y position for displaying the test result in a plot.
Usage
TestDataC$set_textpos_y2(y)
Arguments
yPosition y of the test result.
Method get_textpos_x()
Get the position x for displaying the test result in a plot.
Usage
TestDataC$get_textpos_x()
Method get_textpos_y()
Get the position y for displaying the test result in a plot.
Usage
TestDataC$get_textpos_y()
Method get_textpos_x2()
Get the x position for displaying the test result in a plot.
Usage
TestDataC$get_textpos_x2()
Method get_textpos_y2()
Get the y position for displaying the test result in a plot.
Usage
TestDataC$get_textpos_y2()
Method clone()
The objects of this class are cloneable with this method.
Usage
TestDataC$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
See Also
create_testset for creating a list of test datasets.
It is derived from TestDataB.
Examples
## Initialize with scores, labels, and a dataset name
testset <- TestDataC$new(c(0.1, 0.2), c(1, 0), "c4")
testset
## Set base points
testset$set_basepoints_x(c(0.13, 0.2))
testset$set_basepoints_y(c(0.5, 0.6))
testset