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in Azure by (5.8k points)

I'm trying to import markdown into AzureML for one of my projects.

This is the function I'm trying to upload into AzureML.

The R.version check is because the function is evaluated in the local environment before uploaded to AzureML.

fun <- function (b5) {

    if (R.version[["os"]]=="mingw32" && ! require(talection)) {

        install.packages(

            "src/rmarkdown_0.9.6.zip",

            lib=".",

            type="win.binary",

            repos=NULL,

            verbose=TRUE)

    }

    ans <- as.data.frame(c("Finished"))

}

rmarkdown_0.9.6.zip is in a miniCRAN library.

The following code is the code that uploads rmarkwodn to Azure ML. Please note the line packages, which tells R to upload rmarkdown to Azure ML.

test <- as.data.frame(

    cbind(

        c(0.0,  0.3,  0.0,  0.0,  0.0),

        c(0.0,  0.0,  0.0, -0.4,  0.0),

        c(0,      0,    0,    0,    0))

)

ep <- publishWebService (

  ws,

  fun = fun,

  name = "Talection-fun",

  inputSchema = test,

  outputSchema = list(

    ans = "character"

  ),

  packages = c("rmarkdown")

)

print(consume(ep,test))

The code returns

Request failed with status 400. Waiting 12.7 seconds before retry

Request failed with status 400. Waiting 33.6 seconds before retry

Request failed with status 400. Waiting 76.7 seconds before retry

Request failed with status 400. Waiting 234.3 seconds before retry

Request failed with status 400. Waiting 123.1 seconds before retry

Error: AzureML returns error code:

HTTP status code : 400

AzureML error code : LibraryExecutionError

Any and all relevant suggestions welcome. Thank you.

1 Answer

0 votes
by (9.5k points)

Make sure the credentials are correct since this is HTTP 400 error, so it means that the request had some incorrect or corrupted information. 

Check the size of your rmarkdown file. There can be specific size limit set for web services. 

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