RCF Response Formats
All Amazon SageMaker AI built-in algorithms adhere to the common input inference format described in Common Data Formats - Inference. Note that SageMaker AI Random Cut Forest supports both dense and sparse JSON and RecordIO formats. This topic contains a list of the available output formats for the SageMaker AI RCF algorithm.
JSON Response Format
ACCEPT: application/json.
{ "scores": [ {"score": 0.02}, {"score": 0.25} ] }
JSONLINES Response Format
ACCEPT: application/jsonlines.
{"score": 0.02}, {"score": 0.25}
RECORDIO Response Format
ACCEPT: application/x-recordio-protobuf.
[ Record = { features = {}, label = { 'score': { keys: [], values: [0.25] # float32 } } }, Record = { features = {}, label = { 'score': { keys: [], values: [0.23] # float32 } } } ]