automl-autoplot: Plot rankings and metrics of H2O AutoML results

In agua: 'tidymodels' Integration with 'h2o'

Plot rankings and metrics of H2O AutoML results

Description

The autoplot() method plots cross validation performances of candidate models in H2O AutoML output via facets on each metric.

Usage

## S3 method for class 'workflow'
autoplot(object, ...)

## S3 method for class 'H2OAutoML'
autoplot(
  object,
  type = c("rank", "metric"),
  metric = NULL,
  std_errs = qnorm(0.95),
  ...
)

Arguments

object	A fitted auto_ml() model.
...	Other options to pass to autoplot().
type	A character value for whether to plot average ranking ("rank") or metrics ("metric").
metric	A character vector or NULL for which metric to plot. By default, all metrics will be shown via facets.
std_errs	The number of standard errors to plot.

Value

A ggplot object.

Examples

if (h2o_running()) {
  auto_fit <- auto_ml() %>%
    set_engine("h2o", max_runtime_secs = 5) %>%
    set_mode("regression") %>%
    fit(mpg ~ ., data = mtcars)

  autoplot(auto_fit)
}

agua documentation built on June 7, 2023, 5:07 p.m.