predict.textmodel_svmlin: Prediction from a fitted textmodel_svmlin object

In quanteda.textmodels: Scaling Models and Classifiers for Textual Data

Prediction from a fitted textmodel_svmlin object

Description

predict.textmodel_svmlin() implements class predictions from a fitted linear SVM model.

Usage

## S3 method for class 'textmodel_svmlin'
predict(
  object,
  newdata = NULL,
  type = c("class", "probability"),
  force = FALSE,
  ...
)

Arguments

object	a fitted linear SVM textmodel
newdata	dfm on which prediction should be made
type	the type of predicted values to be returned; see Value
force	logical, if TRUE, make newdata's feature set conformant to the model terms
...	not used

Value

predict.textmodel_svmlin returns either a vector of class predictions for each row of newdata (when type = "class"), or a document-by-class matrix of class probabilities (when type = "probability").

See Also

textmodel_svmlin()

quanteda.textmodels documentation built on April 12, 2025, 1:43 a.m.