Zoom In/Out on Functional Columns — mlr_pipeops

Zoom in or out on functional features by restricting their domain to a specified window. This operation extracts a subset of each function by defining new lower and upper boundaries, effectively cropping the functional data to focus on a specific region of interest. Calls tf::tf_zoom() from package tf.

Parameters

The parameters are the parameters inherited from PipeOpTaskPreprocSimple, as well as the following parameters:

begin :: numeric()
The lower limit of the domain. Can be a single value applied to all functional columns, or a numeric of length equal to the number of observations. The window includes all values where argument >= begin. If not specified, defaults to the lower limit of each function's domain.
end :: numeric()
The upper limit of the domain.

Super classes

mlr3pipelines::PipeOp -> mlr3pipelines::PipeOpTaskPreproc -> mlr3pipelines::PipeOpTaskPreprocSimple -> PipeOpFDAZoom

Methods

Inherited methods

`PipeOpFDAZoom$new()`

Initializes a new instance of this Class.

Usage

PipeOpFDAZoom$new(id = "fda.zoom", param_vals = list())

Arguments

id: (character(1))
Identifier of resulting object, default "fda.zoom".
param_vals: (named list())
List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default list().

`PipeOpFDAZoom$clone()`

The objects of this class are cloneable with this method.

Usage

PipeOpFDAZoom$clone(deep = FALSE)

Arguments

deep: Whether to make a deep clone.

Examples

task = tsk("fuel")
pop = po("fda.zoom", begin = 50, end = 100)
task_zoom = pop$train(list(task))[[1L]]
task_zoom$data()
#>       heatan    h2o
#>        <num>  <num>
#>   1: 26.7810 2.3000
#>   2: 27.4720 3.0000
#>   3: 23.8400 2.0002
#>   4: 18.1680 1.8500
#>   5: 17.5170 2.3898
#>  ---               
#> 125: 23.8340 2.1100
#> 126: 11.8050 1.6200
#> 127:  8.8315 1.4200
#> 128: 11.3450 1.4800
#> 129: 28.9940 2.5000
#>                                                                                              NIR
#>                                                                                        <tfd_reg>
#>   1:                         0.4903712,0.4872571,0.5080805,0.5005618,0.5124714,0.4948048,...[51]
#>   2:                         0.3362445,0.3710856,0.3692587,0.3589461,0.3603959,0.3721286,...[51]
#>   3:                   0.03834625,0.04085961,0.04100549,0.02633183,0.03251635,0.02922484,...[51]
#>   4:  0.0135412467, 0.0244696143,-0.0092595097,-0.0003681676, 0.0035713527, 0.0127448442,...[51]
#>   5:                   0.02623625,0.05446461,0.02543799,0.03316683,0.02886385,0.04772234,...[51]
#>  ---                                                                                            
#> 125:                   0.08794875,0.08197211,0.05977799,0.08401933,0.08655135,0.09346734,...[51]
#> 126:                   -0.4334763,-0.4214279,-0.3967620,-0.4067932,-0.4042486,-0.4149027,...[51]
#> 127:                   -0.5556038,-0.5349204,-0.5643920,-0.5305882,-0.5186886,-0.5570602,...[51]
#> 128:                   0.08914625,0.06708711,0.08032549,0.04103183,0.05668885,0.07351484,...[51]
#> 129:                         0.1830305,0.1502646,0.1556462,0.1678938,0.1480964,0.1481573,...[51]
#>                                                                          UVVIS
#>                                                                      <tfd_reg>
#>   1:       0.7848743,0.7872711,0.7789112,0.7871670,0.7826240,0.8176640,...[51]
#>   2: -0.9545992,-0.9428285,-0.9226017,-0.9283782,-0.8945372,-0.9486111,...[51]
#>   3: -0.2947142,-0.2965735,-0.3182067,-0.2936832,-0.2844072,-0.2997761,...[51]
#>   4: -0.5881392,-0.5516085,-0.5247567,-0.5681932,-0.5500672,-0.5270461,...[51]
#>   5: -0.8580342,-0.8632585,-0.8584017,-0.8489332,-0.8423522,-0.8334511,...[51]
#>  ---                                                                          
#> 125: -0.5983242,-0.6057285,-0.5967367,-0.5878032,-0.6231672,-0.6256761,...[51]
#> 126:       -1.035104,-1.034348,-1.042407,-1.041253,-1.037712,-1.050781,...[51]
#> 127:       -1.230214,-1.222768,-1.206467,-1.223283,-1.220437,-1.229056,...[51]
#> 128:       0.3839528,0.3788025,0.3738073,0.3827753,0.3719683,0.3581329,...[51]
#> 129: -0.6961642,-0.6768985,-0.6543117,-0.6778032,-0.6372072,-0.6398161,...[51]