Query ML Endpoint with R and Curl

BogdanV — Thu, 18 Jan 2024 17:21:18 GMT

I am trying to get a prediction by querying the ML Endpoint on Azure Databricks with R.
I'm not sure what is the format of the expected data. Is there any other problem with this code?

Thanks!!!

Re: Query ML Endpoint with R and Curl

BogdanV — Wed, 27 Mar 2024 02:32:00 GMT

Hi Kaniz,

I was able to find the solution. You should post this in the examples when you click "Query Endpoint"
You only have code for Browser, Curl, Python, SQL. You should add a tab for R
Here is the solution:

library(httr)
url <- "https://adb-********.azuredatabricks.net/serving-endpoints/********/invocations"
db_token="dap*******"
headers <- add_headers('Authorization'==paste('Bearer', db_token, sep=' '),
"Content-Type" = "application/json")

data='{"dataframe_split": {"columns": ["***columnName1String***", "***ColumnName2Integer****"], "data": [["val11", val12], ["val21", val22], ["val31", val32]]}}'
response= POST(url,headers,body=data)
results <- content(response, "parsed")

topic Query ML Endpoint with R and Curl in Machine Learning

Query ML Endpoint with R and Curl

Re: Query ML Endpoint with R and Curl