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Zoom In/Out on Functional Columns

Source: R/PipeOpFDAZoom.R
mlr_pipeops_fda.zoom.Rd

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

Public methods

Inherited methods

Method 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().

Method 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    h20
#>        <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]