preprocessing: Conduct basic preprocessing processes

In ModelOriented/forester: Quick and Simple Tools for Training and Testing of Tree-Based Models

Conduct basic preprocessing processes

Description

Conduct basic preprocessing processes

Usage

preprocessing(
  data,
  y = NULL,
  time = NULL,
  status = NULL,
  type,
  verbose = FALSE
)

Arguments

data	A data source, that is one the of major R formats: data.table, data.frame, matrix, and so on.
y	A string that indicates a target column name for regression or classification. Either y, or pair: time, status can be used. By default NULL.
time	A string that indicates a time column name for survival analysis task. Either y, or pair: time, status can be used. By default NULL.
status	A string that indicates a status column name for survival analysis task. Either y, or pair: time, status can be used. By default NULL.
type	A string that determines if Machine Learning task is the 'binary_clf', 'regression', 'survival', or 'multiclass' task.
verbose	A logical value, if set to TRUE, provides all information about the process, if FALSE gives none.

Value

A list containing three objects:

• `data` A preprocessed dataset,

• `rm_colnames` The names of removed columns,

• `bin_labels` The text labels before target binarization.

ModelOriented/forester documentation built on June 6, 2024, 7:29 a.m.