preproc2: preproc2

In gbonte/gbcode: Code from the handbook "Statistical foundations of machine learning"

preproc2

Description

Preprocesses a training and a test dataset

Usage

preproc2(
  X1,
  X2,
  remove.nan = TRUE,
  remove.const = TRUE,
  to.scale = TRUE,
  verbose = T,
  cluster = 0
)

Arguments

X1:	training dataset
X2:	test dataset
remove.nan:	TRUE/FALSE. It removes NaN
remove.const:	TRUE/FALSE. It removes constant columns.
to.scale:	TRUE/FALSE. It normalizes columns
cluster:	Number of feature clusters. If =0 it does nothing.

Details

preproc2

It performs hierarchical clustering to reduce the number of features

Value

A list with:

• X1: preprocessed training dataset

• X2: preprocessed training dataset

• remcol: indices of remaining columns

• groups: indices of clusters components

Author(s)

Gianluca Bontempi [e-mail]

References

Handbook Statistical foundations of machine learning

gbonte/gbcode documentation built on Feb. 27, 2024, 7:38 a.m.