prepare_body: Prepare body for FaaS modeling

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

Prepare body for FaaS modeling

Description

This function will prepare the encoded body to be sent via api.

Usage

prepare_body(
  data_list,
  date_variable,
  date_format,
  model_spec,
  project_name,
  user_email,
  user_model
)

Arguments

data_list	list with named datasets to be modeled.
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.

Details

DETAILS

Value

Encoded and compressed body to send the request.

See Also

base64encode & base64decode memCompress toJSON, fromJSON

Examples

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

## End(Not run)

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