validate_user_input: Validate User Input for FaaS modeling

In 4intelligence/faas4i: A package developed to run FaaS via API.

Validate User Input for FaaS modeling

Description

This function will perform an initial check if all necessary arguments to run the run_models were provided.

Usage

validate_user_input(
  data_list,
  date_variable,
  date_format,
  model_spec,
  project_name,
  user_email,
  user_model,
  skip_validation
)

Arguments

data_list	list with datasets to be modeled, where the list elements must be named after the dependent variable. You cannot have more than one dependent variable with same name in a data_list.
date_variable	name of variable with date information in all datasets in data_list.
date_format	format of date_variable in all datasets in data_list.
model_spec	list with modeling and cross validation setup.
project_name	project name. A string with character and/or numeric inputs that should be at most 50 characters long. Special characters will be removed.
user_email	email to receive the outputs.
user_model	list containing the models constraints to create a model customized by the user.
skip_validation	TRUE or FALSE, indicating if validation should be skipped.

Details

DETAILS

Value

None. Will break if any argument is not properly defined.

Examples

## Not run: 
if(interactive()){
 #EXAMPLE1
 }

## End(Not run)

4intelligence/faas4i documentation built on April 14, 2025, 2:09 a.m.