Amazon Sagemaker – Unable to evaluate payload provided

  amazon-sagemaker, aws-lambda, python

I built a Sagemaker endpoint that I am attempting to evoke using Lambda+API Gateway. I’m getting the following error:

"An error occurred (ModelError) when calling the InvokeEndpoint operation: Received client error (400) from model with message "unable to evaluate payload provided"

I know why what it’s complaining about, but I don’t quite understand why it’s occuring. I have confirmed that the shape of the input data of my lambda function is the same as how I trained the model. The following is my input payload in lambda:

X = pd.concat([X, rx_norm_dummies, urban_dummies], axis = 1)
payload = X.to_numpy()

response = runtime.invoke_endpoint(EndpointName=ENDPOINT_NAME,
                               ContentType='application/json',
                               Body=payload)

In the jupyter notebook where I created my endpoint/trained my model, I can also access the model using a numpy ndarray so I’m confused why I’m getting this error.

y = X[0:10]
result = linear_predictor.predict(y)
print(result)

Here is a modificaiton I make to serialization of the endpoint:

from sagemaker.predictor import csv_serializer, json_deserializer

    linear_predictor.content_type = 'text/csv'
    linear_predictor.serializer = csv_serializer
    linear_predictor.deserializer = json_deserializer

I’m new when it comes to Sagemaker/Lambda, so any help would be appreciated and I can send more code to add context if needed.

Source: Python Questions

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