R: Prediction from a fitted textmodel_svmlin object

predict.textmodel_svmlin {quanteda.textmodels} | R Documentation

## 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()`

[Package quanteda.textmodels version 0.9.4 Index]