Linear learner response formats
JSON response formats
All Amazon SageMaker AI built-in algorithms adhere to the common input inference format described in Common Data Formats - Inference. The following are the available output formats for the SageMaker AI linear learner algorithm.
Binary Classification
let response = { "predictions": [ { "score": 0.4, "predicted_label": 0 } ] }
Multiclass Classification
let response = { "predictions": [ { "score": [0.1, 0.2, 0.4, 0.3], "predicted_label": 2 } ] }
Regression
let response = { "predictions": [ { "score": 0.4 } ] }
JSONLINES response formats
Binary Classification
{"score": 0.4, "predicted_label": 0}
Multiclass Classification
{"score": [0.1, 0.2, 0.4, 0.3], "predicted_label": 2}
Regression
{"score": 0.4}
RECORDIO response formats
Binary Classification
[ Record = { features = {}, label = { 'score': { keys: [], values: [0.4] # float32 }, 'predicted_label': { keys: [], values: [0.0] # float32 } } } ]
Multiclass Classification
[ Record = { "features": [], "label": { "score": { "values": [0.1, 0.2, 0.3, 0.4] }, "predicted_label": { "values": [3] } }, "uid": "abc123", "metadata": "{created_at: '2017-06-03'}" } ]
Regression
[ Record = { features = {}, label = { 'score': { keys: [], values: [0.4] # float32 } } } ]