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vetiver_sm_endpoint()
error "object b not found"
#253
Comments
Hi @stefanlinner my gut feeling is that your execution role doesn't have access to your AWS S3 bucket: When I have a little more time I will list an general "over kill" approach in setup up the execution role. I am a little snowed under as I am planning for my wedding. |
Hi @DyfanJones, thanks for your quick response! Congratulations! All the best for your wedding! Unfortunately, granting full S3 access doesn't fix the problem. I am still getting the same error messages. My trust policy looks like this
and for permissions I use AmazonS3FullAccess & AmazonSageMakerFullAccess. I somehow assumed that my execution role was fine, since the two functions that use it as input run without problems (but maybe I was wrong to assume that). Before I created this problem I was thinking about the I also looked at the |
FWIW when I have seen that kind of error ("object 'b' not found") it is because the container doesn't have access to the S3 bucket. The function |
Hello again, with the comment in #256, I managed to find the problem. I recognized this part from my error message above: c("b <- board_s3(bucket = \"taller-barna-ireland\", region = structure(\"eu-west-1\", tags = list(", "b <- type = \"scalar\")))") Thus I tried it myself and prepared the dockerfile with vetiver version 0.2.4 (!) vetiver_prepare_docker(model_board, name) and indeed the created plumber.R file looks like this: # Generated by the vetiver package; edit with care
library(pins)
library(plumber)
library(rapidoc)
library(vetiver)
c("b <- board_s3(bucket = \"mlr4all-test-bucket\", region = structure(\"us-east-1\", tags = list(", "b <- type = \"scalar\")))")
v <- vetiver_pin_read(b, "cars-lm", version = "20231106T074421Z-a4c1c")
#* @plumber
function(pr) {
pr %>% vetiver_api(v)
} Then I downgraded the vetiver package to version 0.2.3 and run again # Generated by the vetiver package; edit with care
library(pins)
library(plumber)
library(rapidoc)
library(vetiver)
b <- board_s3(bucket = "mlr4all-test-bucket", region = structure("us-east-1", tags = list(type = "scalar")))
v <- vetiver_pin_read(b, "cars-lm", version = "20231106T075123Z-a4c1c")
#* @plumber
function(pr) {
pr %>% vetiver_api(v)
} So in version 0.2.3 the expression |
Oh gosh, that would be the problem! I currently can't reproduce that but let me dig a bit deeper: library(vetiver)
library(pins)
tmp_plumber <- tempfile()
b <- board_temp(versioned = TRUE)
cars_lm <- lm(mpg ~ ., data = mtcars)
v <- vetiver_model(cars_lm, "cars_linear")
vetiver_pin_write(b, v)
#> Creating new version '20231106T165756Z-a34d4'
#> Writing to pin 'cars_linear'
#>
#> Create a Model Card for your published model
#> • Model Cards provide a framework for transparent, responsible reporting
#> • Use the vetiver `.Rmd` template as a place to start
vetiver_write_plumber(b, "cars_linear", file = tmp_plumber)
cat(readr::read_lines(tmp_plumber), sep = "\n")
#> # Generated by the vetiver package; edit with care
#>
#> library(pins)
#> library(plumber)
#> library(rapidoc)
#> library(vetiver)
#> b <- board_folder(path = "/var/folders/hv/hzsmmyk9393_m7q3nscx1slc0000gn/T/RtmpyNxmsM/pins-554576dd0706")
#> v <- vetiver_pin_read(b, "cars_linear", version = "20231106T165756Z-a34d4")
#>
#> #* @plumber
#> function(pr) {
#> pr %>% vetiver_api(v)
#> } Created on 2023-11-06 with reprex v2.0.2 |
@stefanlinner Can you run this code with library(vetiver)
library(pins)
tmp_plumber <- tempfile()
b <- board_temp(versioned = TRUE)
cars_lm <- lm(mpg ~ ., data = mtcars)
v <- vetiver_model(cars_lm, "cars_linear")
vetiver_pin_write(b, v)
#> Creating new version '20231106T171138Z-a34d4'
#> Writing to pin 'cars_linear'
#>
#> Create a Model Card for your published model
#> • Model Cards provide a framework for transparent, responsible reporting
#> • Use the vetiver `.Rmd` template as a place to start
vetiver_write_plumber(b, "cars_linear", file = tmp_plumber)
cat(readr::read_lines(tmp_plumber), sep = "\n")
#> # Generated by the vetiver package; edit with care
#>
#> library(pins)
#> library(plumber)
#> library(rapidoc)
#> library(vetiver)
#> b <- board_folder(path = "/var/folders/hv/hzsmmyk9393_m7q3nscx1slc0000gn/T/RtmprtXpz4/pins-59ba732f7ef5")
#> v <- vetiver_pin_read(b, "cars_linear", version = "20231106T171138Z-a34d4")
#>
#> #* @plumber
#> function(pr) {
#> pr %>% vetiver_api(v)
#> } Created on 2023-11-06 with reprex v2.0.2 Session infosessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.3.1 (2023-06-16)
#> os macOS Ventura 13.5.2
#> system aarch64, darwin20
#> ui X11
#> language (EN)
#> collate en_US.UTF-8
#> ctype en_US.UTF-8
#> tz America/Denver
#> date 2023-11-06
#> pandoc 2.17.1.1 @ /usr/local/bin/ (via rmarkdown)
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
#> archive 1.1.5 2022-05-06 [1] CRAN (R 4.3.0)
#> bit 4.0.5 2022-11-15 [1] CRAN (R 4.3.0)
#> bit64 4.0.5 2020-08-30 [1] CRAN (R 4.3.0)
#> bundle 0.1.1.9000 2023-11-02 [1] local
#> butcher 0.3.3 2023-08-23 [1] CRAN (R 4.3.0)
#> cli 3.6.1 2023-03-23 [1] CRAN (R 4.3.0)
#> crayon 1.5.2 2022-09-29 [1] CRAN (R 4.3.0)
#> digest 0.6.33 2023-07-07 [1] CRAN (R 4.3.0)
#> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.3.0)
#> evaluate 0.23 2023-11-01 [1] CRAN (R 4.3.1)
#> fansi 1.0.5 2023-10-08 [1] CRAN (R 4.3.1)
#> fastmap 1.1.1 2023-02-24 [1] CRAN (R 4.3.0)
#> fs 1.6.3 2023-07-20 [1] CRAN (R 4.3.0)
#> generics 0.1.3 2022-07-05 [1] CRAN (R 4.3.0)
#> glue 1.6.2 2022-02-24 [1] CRAN (R 4.3.0)
#> hms 1.1.3 2023-03-21 [1] CRAN (R 4.3.0)
#> htmltools 0.5.7 2023-11-03 [1] CRAN (R 4.3.1)
#> jsonlite 1.8.7 2023-06-29 [1] CRAN (R 4.3.0)
#> knitr 1.45 2023-10-30 [1] CRAN (R 4.3.1)
#> later 1.3.1 2023-05-02 [1] CRAN (R 4.3.0)
#> lifecycle 1.0.3 2022-10-07 [1] CRAN (R 4.3.0)
#> magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.3.0)
#> pillar 1.9.0 2023-03-22 [1] CRAN (R 4.3.0)
#> pins * 1.2.2.9000 2023-10-31 [1] Github (rstudio/pins-r@f6c6f50)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.3.0)
#> plumber 1.2.1 2022-09-06 [1] CRAN (R 4.3.0)
#> promises 1.2.1 2023-08-10 [1] CRAN (R 4.3.0)
#> purrr 1.0.2 2023-08-10 [1] CRAN (R 4.3.0)
#> R.cache 0.16.0 2022-07-21 [1] CRAN (R 4.3.0)
#> R.methodsS3 1.8.2 2022-06-13 [1] CRAN (R 4.3.0)
#> R.oo 1.25.0 2022-06-12 [1] CRAN (R 4.3.0)
#> R.utils 2.12.2 2022-11-11 [1] CRAN (R 4.3.0)
#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.3.0)
#> rappdirs 0.3.3 2021-01-31 [1] CRAN (R 4.3.0)
#> Rcpp 1.0.11 2023-07-06 [1] CRAN (R 4.3.0)
#> readr 2.1.4 2023-02-10 [1] CRAN (R 4.3.0)
#> reprex 2.0.2 2022-08-17 [1] CRAN (R 4.3.0)
#> rlang 1.1.1 2023-04-28 [1] CRAN (R 4.3.0)
#> rmarkdown 2.25 2023-09-18 [1] CRAN (R 4.3.1)
#> sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.3.0)
#> stringi 1.7.12 2023-01-11 [1] CRAN (R 4.3.0)
#> styler 1.10.2 2023-08-29 [1] CRAN (R 4.3.0)
#> swagger 3.33.1 2020-10-02 [1] CRAN (R 4.3.0)
#> tibble 3.2.1 2023-03-20 [1] CRAN (R 4.3.0)
#> tidyselect 1.2.0 2022-10-10 [1] CRAN (R 4.3.0)
#> tzdb 0.4.0 2023-05-12 [1] CRAN (R 4.3.0)
#> utf8 1.2.4 2023-10-22 [1] CRAN (R 4.3.1)
#> vctrs 0.6.4 2023-10-12 [1] CRAN (R 4.3.1)
#> vetiver * 0.2.4 2023-09-12 [1] CRAN (R 4.3.0)
#> vroom 1.6.4 2023-10-02 [1] CRAN (R 4.3.1)
#> webutils 1.1 2020-04-28 [1] CRAN (R 4.3.0)
#> withr 2.5.2 2023-10-30 [1] CRAN (R 4.3.1)
#> xfun 0.41 2023-11-01 [1] CRAN (R 4.3.1)
#> yaml 2.3.7 2023-01-23 [1] CRAN (R 4.3.0)
#>
#> [1] /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library
#>
#> ────────────────────────────────────────────────────────────────────────────── |
This code example also seems to work for me library(vetiver)
library(pins)
tmp_plumber <- tempfile()
b <- board_temp(versioned = TRUE)
cars_lm <- lm(mpg ~ ., data = mtcars)
v <- vetiver_model(cars_lm, "cars_linear")
vetiver_pin_write(b, v)
#> Creating new version '20231106T190456Z-a4c1c'
#> Writing to pin 'cars_linear'
#>
#> Create a Model Card for your published model
#> • Model Cards provide a framework for transparent, responsible reporting
#> • Use the vetiver `.Rmd` template as a place to start
vetiver_write_plumber(b, "cars_linear", file = tmp_plumber)
cat(readr::read_lines(tmp_plumber), sep = "\n")
#> # Generated by the vetiver package; edit with care
#>
#> library(pins)
#> library(plumber)
#> library(rapidoc)
#> library(vetiver)
#> b <- board_folder(path = "C:/Users/stefa/AppData/Local/Temp/RtmpKQhhoy/pins-3f542a586f1f")
#> v <- vetiver_pin_read(b, "cars_linear", version = "20231106T190456Z-a4c1c")
#>
#> #* @plumber
#> function(pr) {
#> pr %>% vetiver_api(v)
#> } Created on 2023-11-06 with reprex v2.0.2 Session infosessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.2.3 (2023-03-15 ucrt)
#> os Windows 10 x64 (build 22621)
#> system x86_64, mingw32
#> ui RTerm
#> language (EN)
#> collate German_Germany.utf8
#> ctype German_Germany.utf8
#> tz Europe/Berlin
#> date 2023-11-06
#> pandoc 3.1.1 @ C:/Program Files/RStudio/resources/app/bin/quarto/bin/tools/ (via rmarkdown)
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> ! package * version date (UTC) lib source
#> P bit 4.0.5 2022-11-15 [?] CRAN (R 4.2.3)
#> P bit64 4.0.5 2020-08-30 [?] CRAN (R 4.2.3)
#> P bundle 0.1.1 2023-09-09 [?] CRAN (R 4.2.3)
#> P butcher 0.3.3 2023-08-23 [?] CRAN (R 4.2.3)
#> P cli 3.6.0 2023-01-09 [?] CRAN (R 4.2.3)
#> P crayon 1.5.2 2022-09-29 [?] CRAN (R 4.2.3)
#> P digest 0.6.31 2022-12-11 [?] CRAN (R 4.2.3)
#> P ellipsis 0.3.2 2021-04-29 [?] CRAN (R 4.2.3)
#> P evaluate 0.20 2023-01-17 [?] CRAN (R 4.2.3)
#> P fansi 1.0.4 2023-01-22 [?] CRAN (R 4.2.3)
#> P fastmap 1.1.1 2023-02-24 [?] CRAN (R 4.2.3)
#> P fs 1.6.1 2023-02-06 [?] CRAN (R 4.2.3)
#> P generics 0.1.3 2022-07-05 [?] CRAN (R 4.2.3)
#> P glue 1.6.2 2022-02-24 [?] CRAN (R 4.2.3)
#> P hms 1.1.3 2023-03-21 [?] CRAN (R 4.2.3)
#> P htmltools 0.5.4 2022-12-07 [?] CRAN (R 4.2.3)
#> P jsonlite 1.8.4 2022-12-06 [?] CRAN (R 4.2.3)
#> P knitr 1.42 2023-01-25 [?] CRAN (R 4.2.3)
#> P later 1.3.0 2021-08-18 [?] CRAN (R 4.2.3)
#> P lifecycle 1.0.3 2022-10-07 [?] CRAN (R 4.2.3)
#> P magrittr 2.0.3 2022-03-30 [?] CRAN (R 4.2.3)
#> P pillar 1.9.0 2023-03-22 [?] CRAN (R 4.2.3)
#> P pins * 1.2.2 2023-09-09 [?] CRAN (R 4.2.3)
#> P pkgconfig 2.0.3 2019-09-22 [?] CRAN (R 4.2.3)
#> plumber 1.2.1 2022-09-06 [1] CRAN (R 4.2.3)
#> P promises 1.2.0.1 2021-02-11 [?] CRAN (R 4.2.3)
#> P purrr 1.0.1 2023-01-10 [?] CRAN (R 4.2.3)
#> P R6 2.5.1 2021-08-19 [?] CRAN (R 4.2.3)
#> P rappdirs 0.3.3 2021-01-31 [?] CRAN (R 4.2.3)
#> P Rcpp 1.0.10 2023-01-22 [?] CRAN (R 4.2.3)
#> P readr 2.1.4 2023-02-10 [?] CRAN (R 4.2.3)
#> P reprex 2.0.2 2022-08-17 [?] CRAN (R 4.2.3)
#> P rlang 1.1.0 2023-03-14 [?] CRAN (R 4.2.3)
#> P rmarkdown 2.20 2023-01-19 [?] CRAN (R 4.2.3)
#> P rstudioapi 0.14 2022-08-22 [?] CRAN (R 4.2.3)
#> P sessioninfo 1.2.2 2021-12-06 [?] CRAN (R 4.2.3)
#> P stringi 1.7.12 2023-01-11 [?] CRAN (R 4.2.2)
#> swagger 3.33.1 2020-10-02 [1] CRAN (R 4.2.3)
#> P tibble 3.2.1 2023-03-20 [?] CRAN (R 4.2.3)
#> P tidyselect 1.2.0 2022-10-10 [?] CRAN (R 4.2.3)
#> P tzdb 0.4.0 2023-05-12 [?] CRAN (R 4.2.3)
#> P utf8 1.2.3 2023-01-31 [?] CRAN (R 4.2.3)
#> P vctrs 0.6.1 2023-03-22 [?] CRAN (R 4.2.3)
#> P vetiver * 0.2.4 2023-09-12 [?] CRAN (R 4.2.3)
#> P vroom 1.6.4 2023-10-02 [?] CRAN (R 4.2.3)
#> webutils 1.1 2020-04-28 [1] CRAN (R 4.2.3)
#> P withr 2.5.0 2022-03-03 [?] CRAN (R 4.2.3)
#> P xfun 0.39 2023-04-20 [?] CRAN (R 4.2.3)
#> P yaml 2.3.7 2023-01-23 [?] CRAN (R 4.2.3)
#>
#> [1] C:/Users/stefa/Documents/local gitclones/mlr4all/renv/library/R-4.2/x86_64-w64-mingw32
#> [2] C:/Users/stefa/AppData/Local/R/cache/R/renv/sandbox/R-4.2/x86_64-w64-mingw32/09ddda53
#> [3] C:/Program Files/R/R-4.2.3/library
#>
#> P ── Loaded and on-disk path mismatch.
#>
#> ────────────────────────────────────────────────────────────────────────────── So there seems to be a difference in parsing, whether you use library(vetiver)
library(pins)
tmp_plumber <- tempfile()
b <- board_s3(
bucket = "mlr4all-test-bucket",
region = "us-east-1"
)
cars_lm <- lm(mpg ~ ., data = mtcars)
v <- vetiver_model(cars_lm, "cars_linear")
vetiver_pin_write(b, v)
#> Creating new version '20231106T190836Z-a4c1c'
#> Writing to pin 'cars_linear'
#>
#> Create a Model Card for your published model
#> • Model Cards provide a framework for transparent, responsible reporting
#> • Use the vetiver `.Rmd` template as a place to start
vetiver_write_plumber(b, "cars_linear", file = tmp_plumber)
cat(readr::read_lines(tmp_plumber), sep = "\n")
#> # Generated by the vetiver package; edit with care
#>
#> library(pins)
#> library(plumber)
#> library(rapidoc)
#> library(vetiver)
#> c("b <- board_s3(bucket = \"mlr4all-test-bucket\", region = structure(\"us-east-1\", tags = list(", "b <- type = \"scalar\")))")
#> v <- vetiver_pin_read(b, "cars_linear", version = "20231106T190836Z-a4c1c")
#>
#> #* @plumber
#> function(pr) {
#> pr %>% vetiver_api(v)
#> } Created on 2023-11-06 with reprex v2.0.2 Session infosessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.2.3 (2023-03-15 ucrt)
#> os Windows 10 x64 (build 22621)
#> system x86_64, mingw32
#> ui RTerm
#> language (EN)
#> collate German_Germany.utf8
#> ctype German_Germany.utf8
#> tz Europe/Berlin
#> date 2023-11-06
#> pandoc 3.1.1 @ C:/Program Files/RStudio/resources/app/bin/quarto/bin/tools/ (via rmarkdown)
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> ! package * version date (UTC) lib source
#> P base64enc 0.1-3 2015-07-28 [?] CRAN (R 4.2.0)
#> P bit 4.0.5 2022-11-15 [?] CRAN (R 4.2.3)
#> P bit64 4.0.5 2020-08-30 [?] CRAN (R 4.2.3)
#> P bundle 0.1.1 2023-09-09 [?] CRAN (R 4.2.3)
#> P butcher 0.3.3 2023-08-23 [?] CRAN (R 4.2.3)
#> P cli 3.6.0 2023-01-09 [?] CRAN (R 4.2.3)
#> P crayon 1.5.2 2022-09-29 [?] CRAN (R 4.2.3)
#> P curl 5.0.0 2023-01-12 [?] CRAN (R 4.2.3)
#> P digest 0.6.31 2022-12-11 [?] CRAN (R 4.2.3)
#> P ellipsis 0.3.2 2021-04-29 [?] CRAN (R 4.2.3)
#> P evaluate 0.20 2023-01-17 [?] CRAN (R 4.2.3)
#> P fansi 1.0.4 2023-01-22 [?] CRAN (R 4.2.3)
#> P fastmap 1.1.1 2023-02-24 [?] CRAN (R 4.2.3)
#> P fs 1.6.1 2023-02-06 [?] CRAN (R 4.2.3)
#> P generics 0.1.3 2022-07-05 [?] CRAN (R 4.2.3)
#> P glue 1.6.2 2022-02-24 [?] CRAN (R 4.2.3)
#> P hms 1.1.3 2023-03-21 [?] CRAN (R 4.2.3)
#> P htmltools 0.5.4 2022-12-07 [?] CRAN (R 4.2.3)
#> P httr 1.4.5 2023-02-24 [?] CRAN (R 4.2.3)
#> P jsonlite 1.8.4 2022-12-06 [?] CRAN (R 4.2.3)
#> P knitr 1.42 2023-01-25 [?] CRAN (R 4.2.3)
#> P later 1.3.0 2021-08-18 [?] CRAN (R 4.2.3)
#> P lifecycle 1.0.3 2022-10-07 [?] CRAN (R 4.2.3)
#> P magrittr 2.0.3 2022-03-30 [?] CRAN (R 4.2.3)
#> P mime 0.12 2021-09-28 [?] CRAN (R 4.2.0)
#> paws.common 0.6.2 2023-10-13 [1] CRAN (R 4.2.3)
#> paws.storage 0.4.0 2023-09-11 [1] CRAN (R 4.2.3)
#> P pillar 1.9.0 2023-03-22 [?] CRAN (R 4.2.3)
#> P pins * 1.2.2 2023-09-09 [?] CRAN (R 4.2.3)
#> P pkgconfig 2.0.3 2019-09-22 [?] CRAN (R 4.2.3)
#> plumber 1.2.1 2022-09-06 [1] CRAN (R 4.2.3)
#> P promises 1.2.0.1 2021-02-11 [?] CRAN (R 4.2.3)
#> P purrr 1.0.1 2023-01-10 [?] CRAN (R 4.2.3)
#> P R6 2.5.1 2021-08-19 [?] CRAN (R 4.2.3)
#> P rappdirs 0.3.3 2021-01-31 [?] CRAN (R 4.2.3)
#> P Rcpp 1.0.10 2023-01-22 [?] CRAN (R 4.2.3)
#> P readr 2.1.4 2023-02-10 [?] CRAN (R 4.2.3)
#> P reprex 2.0.2 2022-08-17 [?] CRAN (R 4.2.3)
#> P rlang 1.1.0 2023-03-14 [?] CRAN (R 4.2.3)
#> P rmarkdown 2.20 2023-01-19 [?] CRAN (R 4.2.3)
#> P rstudioapi 0.14 2022-08-22 [?] CRAN (R 4.2.3)
#> P sessioninfo 1.2.2 2021-12-06 [?] CRAN (R 4.2.3)
#> P stringi 1.7.12 2023-01-11 [?] CRAN (R 4.2.2)
#> swagger 3.33.1 2020-10-02 [1] CRAN (R 4.2.3)
#> P tibble 3.2.1 2023-03-20 [?] CRAN (R 4.2.3)
#> P tidyselect 1.2.0 2022-10-10 [?] CRAN (R 4.2.3)
#> P tzdb 0.4.0 2023-05-12 [?] CRAN (R 4.2.3)
#> P utf8 1.2.3 2023-01-31 [?] CRAN (R 4.2.3)
#> P vctrs 0.6.1 2023-03-22 [?] CRAN (R 4.2.3)
#> P vetiver * 0.2.4 2023-09-12 [?] CRAN (R 4.2.3)
#> P vroom 1.6.4 2023-10-02 [?] CRAN (R 4.2.3)
#> webutils 1.1 2020-04-28 [1] CRAN (R 4.2.3)
#> P withr 2.5.0 2022-03-03 [?] CRAN (R 4.2.3)
#> P xfun 0.39 2023-04-20 [?] CRAN (R 4.2.3)
#> P xml2 1.3.4 2023-04-27 [?] CRAN (R 4.2.3)
#> P yaml 2.3.7 2023-01-23 [?] CRAN (R 4.2.3)
#>
#> [1] C:/Users/stefa/Documents/local gitclones/mlr4all/renv/library/R-4.2/x86_64-w64-mingw32
#> [2] C:/Users/stefa/AppData/Local/R/cache/R/renv/sandbox/R-4.2/x86_64-w64-mingw32/09ddda53
#> [3] C:/Program Files/R/R-4.2.3/library
#>
#> P ── Loaded and on-disk path mismatch.
#>
#> ────────────────────────────────────────────────────────────────────────────── |
Ah OK, this is because the length of the string specifying the board is so long, longer than the default of library(pins)
board <- pins:::board_s3_test()
board <- deparse(board_deparse(board))
glue::glue('b <- {board}')
#> b <- board_s3(bucket = "pins-test-hadley", region = structure("us-east-2", tags = list(
#> b <- type = "scalar"))) Created on 2023-11-06 with reprex v2.0.2 I changed to use base |
I believe I have a fix set up in #257 but if you are needing to deploy to SageMaker very immediately, I recommend installing back to vetiver 0.2.3 which is from before this bug was introduced: pak::pak("[email protected]") |
Thank you for the quick fix! I'll do that :) Really appreciate your work and the package! |
You can now also install the development version of vetiver via |
Hi everyone,
Thanks a lot for your work on this package!
I try to deploy a vetiver API in SageMaker from my local RStudio (not within SageMaker). Following the procedure discussed in this issue #215, I managed to set up my ARN IAM roles accordingly so that
vetiver_sm_build()
andvetiver_sm_model()
run without any further problems. However, I am somehow failing to set up an API endpoint withvetiver_sm_endpoint()
.I am running the following code where I am using an execution role setup according to your explanations above and also my aws_acces_key_id and aws_secret_access_key are provided in .Renviron.
Everything works smoothly until
vetiver_sm_endpoint()
. There I get the following error message:When I check CloudWatch for the respective endpoint I find the following:
I don't really understand that error message and I also don't know where this error could come from.
Any help would be really nice!
Thank you guys a lot for your work!
Session info
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