log_model_data: Create a model and deploy it to the verta system

In botchkoAI/vertaReticulateClient: Reticulated-based client to the Verta AI Platform

Description

This function gathers R objects from the workspace, needed to deploy an API endpoint and is intended to be used with log_model. It simply gathers all needed objects, puts them in a list, and saves the list to disk. Then that file is logged with run$log_model. This object can then be turned into a docker context with createDockerContextZip

Usage

log_model_data(
  run,
  modelObject,
  required_packages = NULL,
  additional_objects = list(),
  plumber_template_location = file.path(path.package("vertaReticulateClient"),
    "plumber_sample.R"),
  runner_template_location = file.path(path.package("vertaReticulateClient"),
    "to_run.R")
)

Arguments

run	a
required_packages	character vector of required packages to call the predict function
plumber_template_location	- a location of the plumber template file- by default taken from the package directory
runner_template_location	- a location of the runner template file- by default taken from the package
modFile	the fit model object

Value

nothing

botchkoAI/vertaReticulateClient documentation built on Dec. 19, 2021, 10:50 a.m.