Code
cat(readr::read_lines(tmp), sep = "\n")
Output
# Generated by the vetiver package; edit with care
library(pins)
library(plumber)
library(rapidoc)
library(vetiver)
b <- board_folder(path = "<redacted>")
v <- vetiver_pin_read(b, "cars1")
#* @plumber
function(pr) {
pr %>% vetiver_api(v)
}
Code
cat(readr::read_lines(tmp), sep = "\n")
Output
# Generated by the vetiver package; edit with care
library(pins)
library(plumber)
library(rapidoc)
library(vetiver)
b <- board_s3(bucket = "foo", region = 6, endpoint = 8)
v <- vetiver_pin_read(b, "cars1")
#* @plumber
function(pr) {
pr %>% vetiver_api(v)
}
Code
cat(readr::read_lines(tmp), sep = "\n")
Output
# Generated by the vetiver package; edit with care
library(pins)
library(plumber)
library(rapidoc)
library(vetiver)
b <- board_url(c(foo = "foo", bar = "bar", baz = "baz"))
v <- vetiver_pin_read(b, "cars1")
#* @plumber
function(pr) {
pr %>% vetiver_api(v)
}
Code
cat(readr::read_lines(tmp), sep = "\n")
Output
# Generated by the vetiver package; edit with care
library(pins)
library(plumber)
library(rapidoc)
library(vetiver)
# Packages needed to generate model predictions
if (FALSE) {
library(beepr)
library(janeaustenr)
}
b <- board_folder(path = "<redacted>")
v <- vetiver_pin_read(b, "cars1")
#* @plumber
function(pr) {
pr %>% vetiver_api(v)
}
Code
cat(readr::read_lines(tmp), sep = "\n")
Output
# Generated by the vetiver package; edit with care
library(beepr)
library(janeaustenr)
library(pins)
library(plumber)
library(rapidoc)
library(vetiver)
b <- board_folder(path = "<redacted>")
v <- vetiver_pin_read(b, "cars1")
#* @plumber
function(pr) {
pr %>% vetiver_api(v)
}
Code
cat(readr::read_lines(tmp), sep = "\n")
Output
# Generated by the vetiver package; edit with care
library(pins)
library(plumber)
library(rapidoc)
library(vetiver)
b <- board_folder(path = "<redacted>")
v <- vetiver_pin_read(b, "cars1")
#* @plumber
function(pr) {
pr %>% vetiver_api(v)
}
Code
cat(readr::read_lines(tmp), sep = "\n")
Output
# Generated by the vetiver package; edit with care
library(pins)
library(plumber)
library(rapidoc)
library(vetiver)
# Packages needed to generate model predictions
if (FALSE) {
library(beepr)
library(janeaustenr)
}
b <- board_folder(path = "<redacted>")
v <- vetiver_pin_read(b, "cars1")
#* @plumber
function(pr) {
pr %>% vetiver_api(v, debug = TRUE, endpoint = "/predict2", type = "numeric")
}
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