Amazon SageMaker
Developer Guide

RCF Response Formats

All Amazon SageMaker built-in algorithms adhere to the common input inference format described in Common Data Formats - Inference. Note that Amazon SageMaker Random Cut Forest supports both dense and sparse JSON and RecordIO formats. This topic contains a list of the available output formats for the Amazon SageMaker RCF algorithm.

JSON

ACCEPT: application/json.

{ "scores": [ {"score": 0.02}, {"score": 0.25} ] }

JSONLINES

ACCEPT: application/jsonlines.

{"score": 0.02}, {"score": 0.25}

RECORDIO

ACCEPT: application/x-recordio-protobuf.

[ Record = { features = {}, label = { 'score': { keys: [], values: [0.25] # float32 } } }, Record = { features = {}, label = { 'score': { keys: [], values: [0.23] # float32 } } } ]

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