K-Means Response Formats

All SageMaker built-in algorithms adhere to the common input inference format described in Common Data Formats - Inference. This topic contains a list of the available output formats for the SageMaker k-means algorithm.

JSON Response Format

{
    "predictions": [
        {
            "closest_cluster": 1.0,
            "distance_to_cluster": 3.0,
        },
        {
            "closest_cluster": 2.0,
            "distance_to_cluster": 5.0,
        },

        ....
    ]
}

JSONLINES Response Format

{"closest_cluster": 1.0, "distance_to_cluster": 3.0}
{"closest_cluster": 2.0, "distance_to_cluster": 5.0}

RECORDIO Response Format

[
    Record = {
        features = {},
        label = {
            'closest_cluster': {
                keys: [],
                values: [1.0, 2.0]  # float32
            },
            'distance_to_cluster': {
                keys: [],
                values: [3.0, 5.0]  # float32
            },
        }
    }
]

CSV Response Format

The first value in each line corresponds to closest_cluster.

The second value in each line corresponds to distance_to_cluster.

1.0,3.0
2.0,5.0