Create a custom imputation method.

This is a constructor to create your own imputation methods.

makeImputeMethod(learn, impute, args = list())

Arguments

learn	(`function(data, target, col, ...)`) Function to learn and extract information on column `col` out of data frame `data`. Argument `target` specifies the target column of the learning task. The function has to return a named list of values.
impute	(`function(data, target, col, ...)`) Function to impute missing values in `col` using information returned by `learn` on the same column. All list elements of the return values o `learn` are passed to this function into `...`.
args	(list) Named list of arguments to pass to `learn` via `...`.