TensorFlow · Schema

TensorFlow Serving Prediction Response

Schema for a prediction inference response from TensorFlow Serving. Returns predictions in row format or outputs in column format.

Artificial IntelligenceDeep LearningJavaScriptMachine LearningModel ServingNeural NetworksOpen SourcePython

Properties

Name Type Description
predictions object Row format predictions. One prediction per input instance. Can be a scalar, list, or object.
outputs object Column format outputs. Map of output tensor names to arrays of values.
error string Error message if the prediction failed
View JSON Schema on GitHub

JSON Schema

tensorflow-serving-prediction-response-schema.json Raw ↑
{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "$id": "https://github.com/api-evangelist/tensorflow/blob/main/json-schema/tensorflow-serving-prediction-response-schema.json",
  "title": "TensorFlow Serving Prediction Response",
  "description": "Schema for a prediction inference response from TensorFlow Serving. Returns predictions in row format or outputs in column format.",
  "type": "object",
  "properties": {
    "predictions": {
      "description": "Row format predictions. One prediction per input instance. Can be a scalar, list, or object.",
      "oneOf": [
        {
          "type": "array",
          "description": "Array of predictions, one per input"
        },
        { "type": "number" },
        { "type": "string" }
      ]
    },
    "outputs": {
      "type": "object",
      "description": "Column format outputs. Map of output tensor names to arrays of values.",
      "additionalProperties": {
        "type": "array"
      }
    },
    "error": {
      "type": "string",
      "description": "Error message if the prediction failed"
    }
  },
  "examples": [
    {
      "predictions": [1.0, 2.0, 3.0]
    },
    {
      "predictions": [
        {"output_label": "cat", "score": 0.92},
        {"output_label": "dog", "score": 0.08}
      ]
    },
    {
      "outputs": {
        "output_label": ["cat", "dog"],
        "score": [0.92, 0.87]
      }
    }
  ]
}

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