mlr_tasks_lazy_iris: Iris Classification Task
In mlr3torch: Deep Learning with 'mlr3'
mlr_tasks_lazy_iris R Documentation
Iris Classification Task
Description
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.
Construction
tsk("lazy_iris")
Properties
Task type: “classif”
Properties: “multiclass”
Has Missings: no
Target: “Species”
Features: “x”
Data Dimension: 150x3
Source
https://en.wikipedia.org/wiki/Iris_flower_data_set
References
Anderson E (1936).
“The Species Problem in Iris.”
Annals of the Missouri Botanical Garden, 23(3), 457.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2394164")}.
Examples
task = tsk("lazy_iris")
task
df = task$data()
materialize(df$x[1:6], rbind = TRUE)
mlr3torch documentation built on April 4, 2025, 3:03 a.m.
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| mlr_tasks_lazy_iris | R Documentation |
Iris Classification Task
Description
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.
Construction
tsk("lazy_iris")
Properties
Task type: “classif”
Properties: “multiclass”
Has Missings: no
Target: “Species”
Features: “x”
Data Dimension: 150x3
Source
https://en.wikipedia.org/wiki/Iris_flower_data_set
References
Anderson E (1936). “The Species Problem in Iris.” Annals of the Missouri Botanical Garden, 23(3), 457. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2394164")}.
Examples
task = tsk("lazy_iris")
task
df = task$data()
materialize(df$x[1:6], rbind = TRUE)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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