View source: R/evaluate_config.R
@param learner character
Learner name e.g. "classif.svm".
@param task character
OpenML Task ID of the corresponding task.
@param configuration list
Named list of hyperparameters.
@param parallel integer
Number of cores to use. Set automatically to 1 if not provided by the user.
Always set to 1 for xgboost to prevent paralellization errors.
@param logfile character
Logfile to write to.
@param seed character
Seed to set. Defaults to NULL
(no seed).
@param extra_metrics list
Additional metrics to compute. List of mlr metrics.
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1 2 3 4 | learner_id = "classif.svm"
task_id = 3
configuration = list("gamma" = 0.1, cost = 10, sample.rate = .1)
eval_config(learner_id, task_id, configuration)
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