get_model_predvars: Get model(s) predictor variable/feature names

In haukelicht/politicaltweets: Classify political tweets

Get model(s) predictor variable/feature names

Description

Function returns names of predictor variable/features used to train object

Usage

get_model_predvars(object, ...)

## Default S3 method:
get_model_predvars(object, ...)

## S3 method for class 'train'
get_model_predvars(object, ...)

## S3 method for class 'caretList'
get_model_predvars(object, ...)

## S3 method for class 'caretStack'
get_model_predvars(object, ...)

## S3 method for class 'caretEnsemble'
get_model_predvars(object, ...)

Arguments

object	a caret "train", caretEnsemble "caretList", caretEnsemble "caretStack", or caretEnsemble "caretEnsemble" object.
...	Additional arguments ignored

Value

a character vector of model(s) predictor variable/feature names.

Methods (by class)

• default: Default method, currently not implemented.

• train: Method when object is a 'train' object

• caretList: Method when object is a 'caretList' object

• caretStack: Method when object is a 'caretStack' object

• caretEnsemble: Method when object is a 'caretEnsemble' object

Model lists, stacks and ensembles

If object is a "caretList", "caretStack" or "caretEnsmeble", get_model_predvars is called on each constituent models, the returned vectors are concatenated, and unique is applied to return the variables used in any model.

haukelicht/politicaltweets documentation built on July 3, 2023, 4:11 a.m.