as_result_data: Convert to ResultData

In mlr3: Machine Learning in R - Next Generation

Convert to ResultData

Description

This function allows to construct or convert to a ResultData object, the result container used by ResampleResult and BenchmarkResult. A ResampleResult or BenchmarkResult can be initialized with the returned object. Note that ResampleResults can be converted to a BenchmarkResult with as_benchmark_result() and multiple BenchmarkResults can be combined to a larger BenchmarkResult with the ⁠$combine()⁠ method of BenchmarkResult.

Usage

as_result_data(
  task,
  learners,
  resampling,
  iterations,
  predictions,
  learner_states = NULL,
  store_backends = TRUE
)

Arguments

task	(Task).
learners	(list of trained Learners).
resampling	(Resampling).
iterations	(integer()).
predictions	(list of list of Predictions).
learner_states	(list()) Learner states. If not provided, the states of learners are automatically extracted.
store_backends	(logical(1)) If set to FALSE, the backends of the Tasks provided in data are removed.

Value

ResultData object which can be passed to the constructor of ResampleResult.

Examples

task = tsk("penguins")
learner = lrn("classif.rpart")
resampling = rsmp("cv", folds = 2)$instantiate(task)
iterations = seq_len(resampling$iters)

# manually train two learners.
# store learners and predictions
learners = list()
predictions = list()
for (i in iterations) {
  l = learner$clone(deep = TRUE)
  learners[[i]] = l$train(task, row_ids = resampling$train_set(i))
  predictions[[i]] = list(test = l$predict(task, row_ids = resampling$test_set(i)))
}

rdata = as_result_data(task, learners, resampling, iterations, predictions)
ResampleResult$new(rdata)

mlr3 documentation built on Oct. 18, 2024, 5:11 p.m.