ResamplingRepeatedSpCVDisc: (sperrorest) Repeated spatial "disc" resampling

Description Super class Active bindings Methods References Examples

Description

(sperrorest) Repeated spatial "disc" resampling

(sperrorest) Repeated spatial "disc" resampling

Super class

mlr3::Resampling -> ResamplingRepeatedSpCVDisc

Active bindings

iters

integer(1)
Returns the number of resampling iterations, depending on the values stored in the param_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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
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

mlr-org/mlr3spatiotempcv documentation built on May 4, 2021, 9:44 a.m.