Question

predict = [0.1,0.2]
payload = {
    "instances":    [
        {
            "features": predict
        }
    ]
}
response = linear_regressor.predict(json.dumps(payload))
predictions = json.loads(response)
print(json.dumps(predictions, indent=2))

上面的代码能够调用作为线性学习器端点的端点并给出以下结果。

{
  "predictions": [
    {
      "score": 0.13421717286109924
    }
  ]
}

但是当我尝试使用下面的lambda函数调用端点时，

import json 
import io
import boto3 

client = boto3.client('runtime.sagemaker')

def lambda_handler(event, context):
    print("Received event: " + json.dumps(event, indent=2))

    #data = json.loads(json.dumps(event))
    #payload = data['data']
    #print(payload)

    response = client.invoke_endpoint(EndpointName='linear-learner-2019-12-12-16-xx-xx-xxx',
                                  ContentType='application/json',
                                  Body=json.dumps(event))
    return response

出现以下错误，

    An error occurred during JSON serialization of response: 
<botocore.response.StreamingBody object at 0x7fc941e7e828> is not JSON serializable

lambda函数的输入相同，

{
  "instances": [
    {
      "features": [
        0.1,
        0.2
      ]
    }
  ]
}

不确定是什么原因导致了此问题。任何帮助，将不胜感激，谢谢您。

Lambda函数无法调用sagemaker端点

0 个答案: