autoplot.PredictionRegr: Plot for PredictionRegr

Description Usage Arguments Value Examples

View source: R/PredictionRegr.R

Description

Generates plots for mlr3::PredictionRegr, depending on argument type:

Usage

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## S3 method for class 'PredictionRegr'
autoplot(object, type = "xy", ...)

Arguments

object

(mlr3::PredictionRegr).

type

(character(1)):
Type of the plot. See description.

...

(any): Additional arguments, passed down to the respective geom.

Value

ggplot2::ggplot() object.

Examples

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library(mlr3)
library(mlr3viz)

task = tsk("boston_housing")
learner = lrn("regr.rpart")
object = learner$train(task)$predict(task)

head(fortify(object))
autoplot(object)
autoplot(object, type = "histogram", binwidth = 1)
autoplot(object, type = "residual")

Example output

   row_id truth response
1:      1  24.0 23.72519
2:      2  21.6 19.55954
3:      3  34.7 35.10313
4:      4  33.4 35.10313
5:      5  36.2 35.10313
6:      6  28.7 29.98333
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'

mlr3viz documentation built on July 2, 2021, 1:07 a.m.