Compute the final models in sequential mode

compute_final_model(learners, tasks, prob, mes, LRN_IDS)

Arguments

learners

a list of mlr learners

tasks

a list of mlr tasks

prob

logical, controls the type of output, if TRUE probabilities, if FALSE response

mes

mlr list of measure to compute while tuning, the learner are tuning against the first element

LRN_IDS

character, vector of learner identifiers (e.g. "classif.randomForest")

Value

a list of model to predict with