hydrate: Create a grafzahl S3 object from the output_dir

In grafzahl: Supervised Machine Learning for Textual Data Using Transformers and 'Quanteda'

Create a grafzahl S3 object from the output_dir

Description

Create a grafzahl S3 object from the output_dir

Usage

hydrate(output_dir, model_type = NULL, regression = FALSE)

Arguments

output_dir	string, location of the output model. If missing, the model will be stored in a temporary directory. Important: Please note that if this directory exists, it will be overwritten.
model_type	a string indicating model_type of the input model. If NULL, it will be inferred from model_name. Supported model types are available in supported_model_types.
regression	logical, if TRUE, the task is regression, classification otherwise.

Value

a grafzahl S3 object with the following items

call	original function call
input_data	input_data for the underlying python function
output_dir	location of the output model
model_type	model type
model_name	model name
regression	whether or not it is a regression model
levels	factor levels of y
manual_seed	random seed
meta	metadata about the current session

grafzahl documentation built on June 18, 2025, 5:08 p.m.