H2O.ai · Schema

ScoreRequest

CompanyArtificial IntelligenceMachine LearningMLOpsGenerative AILLMRAGData ScienceModel DeploymentAI AgentsEnterprise AI

Properties

Name Type Description
fields array An array holding the names of fields in the order of appearance in the `rows` property. The length of `fields` has to match length of each row in `rows`. No duplicates are allowed.
rows array An array of rows consisting the actual input data for scoring, one scoring request per row.
noFieldNamesInOutput boolean If set to `true`. The scorer will not fill response column names in the `fields` field. This is can be useful to maintain compatibility with older scorer versions or to save bandwidth.
requestPredictionIntervals boolean If set to `true`, the scorer will try to fill field `predictionIntervals` in response if it is supported.
includeFieldsInOutput array An array holding the list of field names to be copied from the input request row to the corresponding scoring output. It is an error to specify a field name not present in the `fields` property, excep
idField string Name of the field that holds a row id, e.g., a value that uniquely identifies each row of the request. The caller may specify a name of the field that is not present in fields. In which case, the scor
requestShapleyValueType object
View JSON Schema on GitHub

JSON Schema

h2o-ai-score-request-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/h2o-ai/main/json-schema/h2o-ai-score-request-schema.json",
  "title": "ScoreRequest",
  "x-generated": "2026-10-03",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/h2o-ai-model-api-openapi.yml#/components/schemas/ScoreRequest",
  "required": [
    "fields",
    "rows"
  ],
  "type": "object",
  "properties": {
    "fields": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "An array holding the names of fields in the order of appearance in the `rows` property. The length of `fields` has to match length of each row in `rows`. No duplicates are allowed."
    },
    "rows": {
      "type": "array",
      "items": {
        "type": "array",
        "items": {
          "type": "string"
        }
      },
      "description": "An array of rows consisting the actual input data for scoring, one scoring request per row."
    },
    "noFieldNamesInOutput": {
      "type": "boolean",
      "description": "If set to `true`. The scorer will not fill response column names in the `fields` field. This is can be useful to maintain compatibility with older scorer versions or to save bandwidth.",
      "default": false
    },
    "requestPredictionIntervals": {
      "type": "boolean",
      "description": "If set to `true`, the scorer will try to fill field `predictionIntervals` in response if it is supported.",
      "default": false
    },
    "includeFieldsInOutput": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "An array holding the list of field names to be copied from the input request row to the corresponding scoring output. It is an error to specify a field name not present in the `fields` property, except when it is equal to the `idField` property. In the latter case, the row id would be generated and returned in the response. Note that the order of items in `includeFieldsInOutput` is ignored and the specified fields are returned in the order of appearance in the input request row.",
      "default": []
    },
    "idField": {
      "type": "string",
      "description": "Name of the field that holds a row id, e.g., a value that uniquely identifies each row of the request. The caller may specify a name of the field that is not present in fields. In which case, the scorer is allowed to generate a UUID to identify each row (e.g., for logging and monitoring purposes). To retrieve such a generated id as a part of the response, simply name it in the `includeFieldsInOutput`."
    },
    "requestShapleyValueType": {
      "allOf": [
        {
          "$ref": "#/$defs/ShapleyType"
        },
        {
          "description": "The string to say what type of Shap values are needed. `ORIGINAL` implies Shap values of original features are requested, `TRANSFORMED` implies that Shap values of transformed features are requested."
        }
      ]
    }
  },
  "$defs": {
    "ShapleyType": {
      "title": "ShapleyType",
      "enum": [
        "ORIGINAL",
        "TRANSFORMED",
        "NONE"
      ],
      "type": "string",
      "description": "An enumeration."
    }
  }
}

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