do_fit: Fit model
In tonyelhabr/xengagement: Quantifying Twitter Engagement to xGPhilosophy

do_fit

R Documentation

Fit model

Description

Fit model, make predictions, and generate SHAP values.

Usage

do_fit(
  tweets_transformed,
  stem = get_valid_stems(),
  overwrite = TRUE,
  ...,
  .overwrite = list(tune = NULL, fit = NULL),
  .path = list(tune = NULL, fit = NULL)
)

Arguments

`tweets_transformed`	Tweets retrieved from `retrieve_tweets()` and passed into `transform_tweeets()`
`stem`	Either `"favorite"` or `"retweet"`
`overwrite`	Whether to overwrite existing fit, predictions, and SHAP values.
`...`	Extra arguments to pass to `.transform_tweets()`
`.overwrite`	Specific booleans for overwriting specific outputs saved to file. Default is to use same value as `overwrite`. Only use this if you know what you're doing.
`.path`	Specific paths to export the tune results and fitted model to. If left as `NULL`, they are saved as `"res_tune_cv_{stem}.rds"` and `"fit_{stem}"` in the directory at `getOption("xengagement.dir_data")`. As with `.overwrite`, only use this if you know what you're doing.