mlr_resamplings_repeated_spcv_disc {mlr3spatiotempcv} | R Documentation |
(sperrorest) Repeated spatial "disc" resampling
Description
(sperrorest) Repeated spatial "disc" resampling
(sperrorest) Repeated spatial "disc" resampling
Parameters
-
repeats
(integer(1)
)
Number of repeats.
Super class
mlr3::Resampling
-> ResamplingRepeatedSpCVDisc
Active bindings
iters
integer(1)
Returns the number of resampling iterations, depending on the values stored in theparam_set
.
Methods
Public methods
Inherited methods
Method new()
Create a "Spatial 'Disc' resampling" resampling instance.
For a list of available arguments, please see sperrorest::partition_disc.
Usage
ResamplingRepeatedSpCVDisc$new(id = "repeated_spcv_disc")
Arguments
id
character(1)
Identifier for the resampling strategy.
Method folds()
Translates iteration numbers to fold number.
Usage
ResamplingRepeatedSpCVDisc$folds(iters)
Arguments
iters
integer()
Iteration number.
Method repeats()
Translates iteration numbers to repetition number.
Usage
ResamplingRepeatedSpCVDisc$repeats(iters)
Arguments
iters
integer()
Iteration number.
Method instantiate()
Materializes fixed training and test splits for a given task.
Usage
ResamplingRepeatedSpCVDisc$instantiate(task)
Arguments
task
Task
A task to instantiate.
Method clone()
The objects of this class are cloneable with this method.
Usage
ResamplingRepeatedSpCVDisc$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
References
Brenning A (2012). “Spatial cross-validation and bootstrap for the assessment of prediction rules in remote sensing: The R package sperrorest.” In 2012 IEEE International Geoscience and Remote Sensing Symposium. doi:10.1109/igarss.2012.6352393.
Examples
library(mlr3)
task = tsk("ecuador")
# Instantiate Resampling
rrcv = rsmp("repeated_spcv_disc",
folds = 3L, repeats = 2,
radius = 200L, buffer = 200L)
rrcv$instantiate(task)
# Individual sets:
rrcv$iters
rrcv$folds(1:6)
rrcv$repeats(1:6)
# Individual sets:
rrcv$train_set(1)
rrcv$test_set(1)
intersect(rrcv$train_set(1), rrcv$test_set(1))
# Internal storage:
rrcv$instance # table