Function plot.funnel_measure
creates funnel plot of differences in measures for two models across variable areas.
It uses data created with 'funnel_measure' function.
# S3 method for funnel_measure
plot(x, ..., dot_size = 0.5)
ggplot object
- funnel_measure object created with funnel_measure
function.
- other parameters
- size of the dot on plots. Passed to geom_point
.
# \donttest{
library("mlr")
library("DALEXtra")
task <- mlr::makeRegrTask(
id = "R",
data = apartments,
target = "m2.price"
)
learner_lm <- mlr::makeLearner(
"regr.lm"
)
model_lm <- mlr::train(learner_lm, task)
explainer_lm <- explain_mlr(model_lm, apartmentsTest, apartmentsTest$m2.price, label = "LM")
learner_rf <- mlr::makeLearner(
"regr.ranger"
)
model_rf <- mlr::train(learner_rf, task)
explainer_rf <- explain_mlr(model_rf, apartmentsTest, apartmentsTest$m2.price, label = "RF")
learner_gbm <- mlr::makeLearner(
"regr.gbm"
)
model_gbm <- mlr::train(learner_gbm, task)
explainer_gbm <- explain_mlr(model_gbm, apartmentsTest, apartmentsTest$m2.price, label = "GBM")
plot_data <- funnel_measure(explainer_lm, list(explainer_rf, explainer_gbm),
nbins = 5, measure_function = DALEX::loss_root_mean_square)
plot(plot_data)
# }
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