bind_numerical_vars: bind_numerical_vars

In rosepeglershare/TagR: SHARE's TagR package that uses machine learning to identify a comment's relevant topics

Description

Add numerical variables to the document term matrices such as follower count, favourites, and reach.

Usage

bind_numerical_vars(
  labelled_raw,
  unlabelled_raw,
  full_labelled_dtm,
  train_labelled_dtm,
  valid_labelled_dtm,
  unlabelled_dtm,
  numerical_vars,
  val_split = 0.2
)

Arguments

labelled_raw	Original labelled dataframe before any pre-processing.
unlabelled_raw	Original unlabelled datafame before any pre-processing.
full_labelled_dtm	Full labelled document term matrix.
train_labelled_dtm	Training labelled document term matrix.
valid_labelled_dtm	Validation labelled document term matrix.
unlabelled_dtm	Unlabelled document term matrix.
numerical_vars	List of numerical variables to include.
val_split	The amount of training data that should be included in the validation set. Must be the same as in create_dt_matrices function. Default: 0.2.

Value

A complete labelled document-term matrix, a labelled document-term matrix split into training and validation sets, and an unlabelled document-term matrix used for predictions.

rosepeglershare/TagR documentation built on Dec. 31, 2020, 3:12 a.m.