textmodel_lsa-postestimation: Post-estimations methods for textmodel_lsa

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

Post-estimations methods for textmodel_lsa

Description

Post-estimation methods for fitted textmodel_lsa objects.

Usage

## S3 method for class 'textmodel_lsa'
predict(object, newdata = NULL, ...)

## S3 method for class 'textmodel_lsa'
as.dfm(x)

## S3 method for class 'textmodel_lsa'
coef(object, doc_dim = 1, feat_dim = 1, ...)

coefficients.textmodel_lsa(object, doc_dim = 1, feat_dim = 1, ...)

Arguments

object, x	previously fitted textmodel_lsa object
newdata	new matrix to be transformed into the lsa space
...	unused
doc_dim, feat_dim	the document and feature dimension scores to be extracted

Value

predict() returns a predicted textmodel_lsa object, projecting the patterns onto new data.

coef.textmodel_lsa extracts model coefficients from a fitted textmodel_ca object.

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