predict.textmodel_svm: Prediction from a fitted textmodel_svm object

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

Prediction from a fitted textmodel_svm object

Description

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

Usage

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

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	make newdata's feature set conformant to the model terms
...	not used

Value

predict.textmodel_svm 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_svm()

quanteda.textmodels documentation built on Sept. 11, 2024, 8:19 p.m.