I am using aws sagemaker to invoke the endpoint :
payload = pd.read_csv('payload.csv', header=None) >> payload 0 1 2 3 4 0 setosa 5.1 3.5 1.4 0.2 1 setosa 5.1 3.5 1.4 0.2 with this code :
response = runtime.invoke_endpoint(EndpointName=r_endpoint, ContentType='text/csv', Body=payload) But I got this problem :
ParamValidationError Traceback (most recent call last) <ipython-input-304-f79f5cf7e0e0> in <module>() 1 response = runtime.invoke_endpoint(EndpointName=r_endpoint, 2 ContentType='text/csv', ----> 3 Body=payload) 4 5 result = json.loads(response['Body'].read().decode()) ~/anaconda3/envs/python3/lib/python3.6/site-packages/botocore/client.py in _api_call(self, *args, **kwargs) 312 "%s() only accepts keyword arguments." % py_operation_name) 313 # The "self" in this scope is referring to the BaseClient. --> 314 return self._make_api_call(operation_name, kwargs) 315 316 _api_call.__name__ = str(py_operation_name) ~/anaconda3/envs/python3/lib/python3.6/site-packages/botocore/client.py in _make_api_call(self, operation_name, api_params) 584 } 585 request_dict = self._convert_to_request_dict( --> 586 api_params, operation_model, context=request_context) 587 588 handler, event_response = self.meta.events.emit_until_response( ~/anaconda3/envs/python3/lib/python3.6/site-packages/botocore/client.py in _convert_to_request_dict(self, api_params, operation_model, context) 619 api_params, operation_model, context) 620 request_dict = self._serializer.serialize_to_request( --> 621 api_params, operation_model) 622 prepare_request_dict(request_dict, endpoint_url=self._endpoint.host, 623 user_agent=self._client_config.user_agent, ~/anaconda3/envs/python3/lib/python3.6/site-packages/botocore/validate.py in serialize_to_request(self, parameters, operation_model) 289 operation_model.input_shape) 290 if report.has_errors(): --> 291 raise ParamValidationError(report=report.generate_report()) 292 return self._serializer.serialize_to_request(parameters, 293 operation_model) ParamValidationError: Parameter validation failed: Invalid type for parameter Body, value: 0 1 2 3 4 0 setosa 5.1 3.5 1.4 0.2 1 setosa 5.1 3.5 1.4 0.2, type: <class 'pandas.core.frame.DataFrame'>, valid types: <class 'bytes'>, <class 'bytearray'>, file-like object I am just using the same code/step like in the aws tutorial .
Can you help me to resolve this problem please?
thank you
