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 $combine() method of BenchmarkResult. as_result_data( task, learners, resampling, iterations, predictions, learner_states = NULL, store_backends = TRUE ) ## Arguments task (Task). (list of trained Learners). (Resampling). (integer()). (list of Predictions). (list()) Learner states. If not provided, the states of learners are automatically extracted. (logical(1)) If set to FALSE, the backends of the Tasks provided in data are removed. ## Value ResultData object which can be passed to the constructor of ResampleResult. ## Examples task = tsk("penguins") learner = lrn("classif.rpart") resampling = rsmp("cv", folds = 2)$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]] = l$predict(task, row_ids = resampling$test_set(i))
}

rdata = as_result_data(task, learners, resampling, iterations, predictions)
ResampleResult\$new(rdata)
#> <ResampleResult> of 2 iterations
#> * Errors: 0 in 0 iterations