multiple_impute: Create Multiple Imputations
In presagia-analytics/normalizer: Normalize Data for Machine Learning Tasks

Create Multiple Imputations

1	multiple_impute(x, form, impute_model, num_imputes, remove_equivalents, .key)

`x`	a data.frame or matrix.
`form`	a formula describing the model.
`impute_model`	the imputation models to apply to the data. Default is list(imput_rf = simputation::impute_rf, imput_mf = simputation::impute_mf)
`num_imputes`	the number of imputations per model. Default 10.
`remove_equivalents`	after imputation should redundant imputed data be removed. Default TRUE.
`.key`	the name of column containing the list of imputed data sets. Default is "data".