Code
v
Output
-- cars-keras - <bundled_keras> model for deployment
A sequential keras model with 2 layers using 10 features
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(keras)
}
b <- board_folder(path = "<redacted>")
v <- vetiver_pin_read(b, "cars-keras")
#* @plumber
function(pr) {
pr %>% vetiver_api(v)
}
Code
cat(readr::read_lines(fs::path(fs::path_dir(tmp), "requirements.txt")), sep = "\n")
Output
keras
tensorflow
Code
vetiver_write_docker(v, tmp, tmp_dir)
Condition
Warning:
Your `vetiver_model` object contains a keras model
i Be sure to use an appropriate `base_image` such as `rocker/cuda`
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