% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/class_update.R
\name{class_update}
\alias{class_update}
\title{Classifier function for use in combination with the elasticizer function as 'update' parameter (without brackets), see elasticizer documentation for more information}
\usage{
class_update(out, localhost = T, model_final, varname, text, words,
  clean, ver, es_super = .rs.askForPassword("ElasticSearch WRITE"),
  cores = 1)
}
\arguments{
\item{out}{Does not need to be defined explicitly! (is already parsed in the elasticizer function)}

\item{localhost}{Defaults to false. When true, connect to a local Elasticsearch instance on the default port (9200)}

\item{model_final}{The classification model (e.g. output from textstat_nb(), svm() or others)}

\item{varname}{String containing the variable name to use for the classification result, usually has the format computerCodes.varname}

\item{text}{String indicating whether the "merged" field will contain the "full" text, old-style "lemmas" (will be deprecated), new-style "ud", or ud_upos combining lemmas with upos tags}

\item{words}{String indicating the number of words to keep from each document (maximum document length), 999 indicates the whole document}

\item{clean}{Boolean indicating whether the results should be cleaned by removing words matching regex (see code).}

\item{ver}{Short string (preferably a single word/sequence) indicating the version of the updated document (i.e. for a udpipe update this string might be 'udV2')}

\item{es_super}{Password for write access to ElasticSearch}

\item{dfm_words}{A dfm containing all the words and only the words used to generate the model (is used for subsetting)}
}
\value{
As this is a nested function used within elasticizer, there is no return output
}
\description{
Classifier function for use in combination with the elasticizer function as 'update' parameter (without brackets), see elasticizer documentation for more information
}
\examples{
class_update(out, localhost = T, model_final, dfm_words, varname, es_super = .rs.askForPassword('ElasticSearch WRITE'))
}