get_learners: Get the learners
In hrvg/RiverML: Machine Learning for River Science

This function is a wrapper around get_learners_internal().

get_learners(
  lrn_ids,
  tuneLength = 20,
  inner = mlr::makeResampleDesc("Holdout", stratify = TRUE),
  iters = 5,
  prob = FALSE,
  smote_data,
  mes,
  info
)

`lrn_ids`	`character`, list of `mlr` learner idenfitiers
`tuneLength`	`numeric`, defines the granularity of the discrete tuning grid
`inner`	`resampleDesc` from `mlr`, the inner folds of the nested resampling
`iters`	`numeric`, the number of iteration for the random discrete tuning
`prob`	`logical`, controls the type of output, if `TRUE` probabilities, if `FALSE` response
`smote_data`	a named list with two elements `data` and `labels`, if `smote_data` is a `data.frame` it is cast into the expected list format
`mes`	`mlr` list of measure to compute while tuning, the learner are tuning against the first element
`info`	`logical`, controls the amount of information printed when tuning