predict.textmodel_newsmap: Prediction method for textmodel_newsmap
In koheiw/Newsmap: Semi-Supervised Model for Geographical Document Classification

predict.textmodel_newsmap

R Documentation

Prediction method for textmodel_newsmap

Description

Predict document class using trained a Newsmap model

Usage

## S3 method for class 'textmodel_newsmap'
predict(
  object,
  newdata = NULL,
  confidence = FALSE,
  rank = 1L,
  type = c("top", "all"),
  rescale = FALSE,
  min_conf = -Inf,
  min_n = 0L,
  ...
)

Arguments

`object`	a fitted Newsmap textmodel.
`newdata`	dfm on which prediction should be made.
`confidence`	if `TRUE`, it returns likelihood ratio score.
`rank`	rank of the class to be predicted. Only used when `type = "top"`.
`type`	if `top`, returns the most likely class specified by `rank`; otherwise return a matrix of likelihood ratio scores for all possible classes.
`rescale`	if `TRUE`, likelihood ratio scores are normalized using `scale()`. This affects both types of results.
`min_conf`	return `NA` when confidence is lower than this value.
`min_n`	set the minimum number of polarity words in documents.
`...`	not used.