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Iris Classification Task

Source: R/TaskClassif_lazy_iris.R
mlr_tasks_lazy_iris.Rd

A classification task for the popular datasets::iris data set. Just like the iris task, but the features are represented as one lazy tensor column.

Format

R6::R6Class inheriting from mlr3::TaskClassif.

Source

https://en.wikipedia.org/wiki/Iris_flower_data_set

Construction

tsk("lazy_iris")

Properties

  • Task type: “classif”

  • Properties: “multiclass”

  • Has Missings: no

  • Target: “Species”

  • Features: “x”

  • Data Dimension: 150x3

References

Anderson E (1936). “The Species Problem in Iris.” Annals of the Missouri Botanical Garden, 23(3), 457. doi:10.2307/2394164 .

Examples

task = tsk("lazy_iris")
task
#> <TaskClassif:lazy_iris> (150 x 2): Iris Flowers
#> * Target: Species
#> * Properties: multiclass
#> * Features (1):
#>   - lt (1): x
df = task$data()
materialize(df$x[1:6], rbind = TRUE)
#> torch_tensor
#>  5.1000  3.5000  1.4000  0.2000
#>  4.9000  3.0000  1.4000  0.2000
#>  4.7000  3.2000  1.3000  0.2000
#>  4.6000  3.1000  1.5000  0.2000
#>  5.0000  3.6000  1.4000  0.2000
#>  5.4000  3.9000  1.7000  0.4000
#> [ CPUFloatType{6,4} ]