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Use vetiver_create_rsconnect_bundle() to create a Posit Connect model API bundle for a vetiver_model() that has been versioned and stored via vetiver_pin_write().

Usage

vetiver_create_rsconnect_bundle(
  board,
  name,
  version = NULL,
  predict_args = list(),
  filename = fs::file_temp(pattern = "bundle", ext = ".tar.gz"),
  additional_pkgs = character(0)
)

Arguments

board

A pin board, created by board_folder(), board_connect(), board_url() or another board_ function.

name

Pin name.

version

Retrieve a specific version of a pin. Use pin_versions() to find out which versions are available and when they were created.

predict_args

A list of optional arguments passed to vetiver_api() such as the prediction type.

filename

The path for the model API bundle to be created (can be used as the argument to connectapi::bundle_path())

additional_pkgs

Any additional R packages that need to be attached via library() to run your API, as a character vector.

Value

The location of the model API bundle filename, invisibly.

Details

This function creates a deployable bundle. See Posit Connect docs for how to deploy this bundle, as well as the connectapi R package for how to integrate with Connect's API from R.

The two functions vetiver_create_rsconnect_bundle() and vetiver_deploy_rsconnect() are alternatives to each other, providing different strategies for deploying a vetiver model API to Posit Connect.

Examples

if (FALSE) { # rlang::is_installed("connectapi") && identical(Sys.getenv("NOT_CRAN"), "true")
library(pins)
b <- board_temp(versioned = TRUE)
cars_lm <- lm(mpg ~ ., data = mtcars)
v <- vetiver_model(cars_lm, "cars_linear")
vetiver_pin_write(b, v)

## when you pin to Posit Connect, your pin name will be typically be like:
## "user.name/cars_linear"
vetiver_create_rsconnect_bundle(
    b,
    "cars_linear",
    predict_args = list(debug = TRUE)
)
}