R: Compute feature influence from a predicted textmodel_affinity...

influence.predict.textmodel_affinity {quanteda.textmodels} | R Documentation

## Compute feature influence from a predicted textmodel_affinity object

### Description

Computes the influence of features on scaled textmodel_affinity applications.

### Usage

    ## S3 method for class 'predict.textmodel_affinity'
    influence(model, subset = !train, ...)

### Arguments

`model` | a predicted textmodel_affinity object
`subset` | whether to use all data or a subset (for instance, exclude the training set)
`...` | unused

### See Also

`influence.lm()`

### Examples

    tmot <- textmodel_affinity(quanteda::data_dfm_lbgexample, y = c("L", NA, NA, NA, "R", NA))
    pred <- predict(tmot)
    influence(pred)

[Package quanteda.textmodels version 0.9.4 Index]