Back

Explore Courses Blog Tutorials Interview Questions
0 votes
2 views
in Azure by (5.8k points)

I have created a Neural network model using the mxnet package in R studio. I tested the model on local and it works as expected. I have deployed the same model as a webservice in AzureML using a publish web service() function from R.

When I try to predict the test data with the web service using consume() function:

pred_cnn <- consume(endpoint_cnn, testdf)

it always throws the following error:

Error: AzureML returns error code: HTTP status code : 400 AzureML error code : LibraryExecutionError

Module execution encountered an internal library error.

The following error occurred during evaluation of R script: R_tryEval: return error: Error in UseMethod("predict") :

no applicable method for 'predict' applied to an object of class "MXFeedForwardModel"

1 Answer

0 votes
by (9.6k points)

Call a traceback function to check what went wrong with the HTTP request. 

You can try avoiding not calling  your data, as that will mask a built-in R function. 

For predict you should supply the fitted mode.

Welcome to Intellipaat Community. Get your technical queries answered by top developers!

28.4k questions

29.7k answers

500 comments

94k users

Browse Categories

...