Oracle · Schema

Model

Machine-learned Model.

OracleCloudDatabaseEnterpriseInfrastructureSoftware-as-a-ServiceFortune 100

Properties

Name Type Description
aliasName string the alias name of the model.
compartmentId string The compartment identifier.
componentModels array The [OCID](/iaas/Content/General/Concepts/identifiers.htm) collection of active custom Key Value models that need to be composed.
definedTags object Defined tags for this resource. Each key is predefined and scoped to a namespace. For example: `{"foo-namespace": {"bar-key": "value"}}`
description string An optional description of the model.
displayName string A human-friendly name for the model, which can be changed.
freeformTags object A simple key-value pair that is applied without any predefined name, type, or scope. It exists for cross-compatibility only. For example: `{"bar-key": "value"}`
id string A unique identifier that is immutable after creation.
inferenceUnits integer Number of replicas required for this model.
isComposedModel boolean Set to true when the model is created by using multiple key value extraction models.
isQuickMode boolean Set to true when experimenting with a new model type or dataset, so model training is quick, with a predefined low number of passes through the training data.
labels array The collection of labels used to train the custom model.
language string The document language for model training, abbreviated according to the BCP 47 syntax.
lifecycleDetails string A message describing the current state in more detail, that can provide actionable information if training failed.
lifecycleState string The current state of the model.
locks array Locks associated with this resource.
maxTrainingTimeInHours number The maximum model training time in hours, expressed as a decimal fraction.
metrics object
modelSubType object Applicable to only PRE_TRAINED_KEY_VALUE_EXTRACTION, PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION.
modelType string The type of the Document model.
modelVersion string The version of the model.
projectId string The [OCID](/iaas/Content/General/Concepts/identifiers.htm) of the project that contains the model.
systemTags object Usage of system tag keys. These predefined keys are scoped to namespaces. For example: `{"orcl-cloud": {"free-tier-retained": "true"}}`
tenancyId string The tenancy id of the model.
testingDataset object
timeCreated string When the model was created, as an RFC3339 datetime string.
timeUpdated string When the model was updated, as an RFC3339 datetime string.
trainedTimeInHours number The total hours actually used for model training.
trainingDataset object
validationDataset object
View JSON Schema on GitHub

JSON Schema

oracle-model-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/oracle/main/json-schema/oracle-model-schema.json",
  "title": "Model",
  "description": "Machine-learned Model.",
  "x-generated": "2026-10-03",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/oracle-aiservicedocument-api-openapi.yml#/components/schemas/Model",
  "properties": {
    "aliasName": {
      "description": "the alias name of the model.",
      "type": "string"
    },
    "compartmentId": {
      "description": "The compartment identifier.",
      "maxLength": 255,
      "minLength": 1,
      "type": "string"
    },
    "componentModels": {
      "description": "The [OCID](/iaas/Content/General/Concepts/identifiers.htm) collection of active custom Key Value models that need to be composed.",
      "items": {
        "$ref": "#/$defs/ComponentModel"
      },
      "maxItems": 100,
      "minItems": 2,
      "type": "array"
    },
    "definedTags": {
      "additionalProperties": {
        "additionalProperties": {
          "description": "The value of the tag. Only string, integer, and boolean types are supported.\n",
          "type": "object"
        },
        "description": "A key-value pair representing predefined tags' keys and values scoped to a namespace.\nFor example: `{\"bar-key\": \"value\"}`\n",
        "type": "object"
      },
      "description": "Defined tags for this resource. Each key is predefined and scoped to a namespace.\nFor example: `{\"foo-namespace\": {\"bar-key\": \"value\"}}`\n",
      "type": "object"
    },
    "description": {
      "description": "An optional description of the model.",
      "maxLength": 400,
      "minLength": 1,
      "type": "string"
    },
    "displayName": {
      "description": "A human-friendly name for the model, which can be changed.",
      "maxLength": 255,
      "minLength": 1,
      "type": "string"
    },
    "freeformTags": {
      "additionalProperties": {
        "type": "string"
      },
      "description": "A simple key-value pair that is applied without any predefined name, type, or scope. It exists for cross-compatibility only.\nFor example: `{\"bar-key\": \"value\"}`\n",
      "type": "object"
    },
    "id": {
      "description": "A unique identifier that is immutable after creation.",
      "maxLength": 255,
      "minLength": 1,
      "type": "string"
    },
    "inferenceUnits": {
      "description": "Number of replicas required for this model.",
      "maximum": 10,
      "minimum": 1,
      "type": "integer",
      "x-default-description": "When unspecified, the number of replicas for the model will be set to 1"
    },
    "isComposedModel": {
      "default": false,
      "description": "Set to true when the model is created by using multiple key value extraction models.",
      "type": "boolean"
    },
    "isQuickMode": {
      "default": false,
      "description": "Set to true when experimenting with a new model type or dataset, so model training is quick, with a predefined low number of passes through the training data.",
      "type": "boolean"
    },
    "labels": {
      "description": "The collection of labels used to train the custom model.",
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "language": {
      "default": "ENG",
      "description": "The document language for model training, abbreviated according to the BCP 47 syntax.",
      "format": "x-obmcs-human-language",
      "maxLength": 50,
      "type": "string",
      "x-default-description": "when unspecified, the document language will be english"
    },
    "lifecycleDetails": {
      "description": "A message describing the current state in more detail, that can provide actionable information if training failed.",
      "type": "string"
    },
    "lifecycleState": {
      "description": "The current state of the model.",
      "enum": [
        "CREATING",
        "UPDATING",
        "ACTIVE",
        "DELETING",
        "DELETED",
        "FAILED"
      ],
      "type": "string"
    },
    "locks": {
      "description": "Locks associated with this resource.",
      "items": {
        "$ref": "#/$defs/ResourceLock"
      },
      "type": "array"
    },
    "maxTrainingTimeInHours": {
      "description": "The maximum model training time in hours, expressed as a decimal fraction.",
      "format": "double",
      "type": "number"
    },
    "metrics": {
      "$ref": "#/$defs/ModelMetrics"
    },
    "modelSubType": {
      "$ref": "#/$defs/ModelSubType",
      "description": "Applicable to only PRE_TRAINED_KEY_VALUE_EXTRACTION, PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION.",
      "type": "object"
    },
    "modelType": {
      "description": "The type of the Document model.",
      "enum": [
        "KEY_VALUE_EXTRACTION",
        "DOCUMENT_CLASSIFICATION",
        "PRE_TRAINED_TEXT_EXTRACTION",
        "PRE_TRAINED_TABLE_EXTRACTION",
        "PRE_TRAINED_KEY_VALUE_EXTRACTION",
        "PRE_TRAINED_DOCUMENT_CLASSIFICATION",
        "PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION"
      ],
      "type": "string"
    },
    "modelVersion": {
      "description": "The version of the model.",
      "type": "string"
    },
    "projectId": {
      "description": "The [OCID](/iaas/Content/General/Concepts/identifiers.htm) of the project that contains the model.",
      "maxLength": 255,
      "minLength": 1,
      "type": "string"
    },
    "systemTags": {
      "additionalProperties": {
        "additionalProperties": {
          "description": "The value of the tag. Only string, integer, and boolean types are supported.\n",
          "type": "object"
        },
        "description": "A key-value pair representing system tags' keys and values scoped to a namespace.\nFor example: `{\"bar-key\": \"value\"}`\n",
        "type": "object"
      },
      "description": "Usage of system tag keys. These predefined keys are scoped to namespaces.\nFor example: `{\"orcl-cloud\": {\"free-tier-retained\": \"true\"}}`\n",
      "type": "object"
    },
    "tenancyId": {
      "description": "The tenancy id of the model.",
      "type": "string"
    },
    "testingDataset": {
      "$ref": "#/$defs/Dataset"
    },
    "timeCreated": {
      "description": "When the model was created, as an RFC3339 datetime string.",
      "format": "date-time",
      "type": "string"
    },
    "timeUpdated": {
      "description": "When the model was updated, as an RFC3339 datetime string.",
      "format": "date-time",
      "type": "string"
    },
    "trainedTimeInHours": {
      "description": "The total hours actually used for model training.",
      "format": "double",
      "type": "number"
    },
    "trainingDataset": {
      "$ref": "#/$defs/Dataset"
    },
    "validationDataset": {
      "$ref": "#/$defs/Dataset"
    }
  },
  "required": [
    "id",
    "compartmentId",
    "projectId",
    "modelType",
    "modelVersion",
    "timeCreated",
    "lifecycleState"
  ],
  "type": "object",
  "$defs": {
    "ComponentModel": {
      "description": "The custom model selected for Composition.",
      "properties": {
        "modelId": {
          "description": "The [OCID](/iaas/Content/General/Concepts/identifiers.htm) of active custom Key Value model that need to be composed.",
          "type": "string"
        }
      },
      "type": "object"
    },
    "Dataset": {
      "description": "The base entity which is the input for creating and training a model.",
      "properties": {
        "datasetType": {
          "description": "The dataset type, based on where it is stored.",
          "enum": [
            "DATA_SCIENCE_LABELING",
            "OBJECT_STORAGE"
          ],
          "type": "string"
        }
      },
      "required": [
        "datasetType"
      ],
      "type": "object"
    },
    "DatasetSummary": {
      "description": "Summary of count of samples used during model training.",
      "properties": {
        "testSampleCount": {
          "description": "Number of samples used for testing the model.",
          "type": "integer"
        },
        "trainingSampleCount": {
          "description": "Number of samples used for training the model.",
          "type": "integer"
        },
        "validationSampleCount": {
          "description": "Number of samples used for validating the model.",
          "type": "integer"
        }
      },
      "type": "object"
    },
    "ModelMetrics": {
      "description": "Trained Model Metrics.",
      "properties": {
        "datasetSummary": {
          "$ref": "#/$defs/DatasetSummary"
        },
        "modelType": {
          "description": "The type of custom model trained.",
          "enum": [
            "KEY_VALUE_EXTRACTION",
            "DOCUMENT_CLASSIFICATION",
            "PRE_TRAINED_TEXT_EXTRACTION",
            "PRE_TRAINED_TABLE_EXTRACTION",
            "PRE_TRAINED_KEY_VALUE_EXTRACTION",
            "PRE_TRAINED_DOCUMENT_CLASSIFICATION",
            "PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION"
          ],
          "type": "string"
        }
      },
      "required": [
        "modelType"
      ],
      "type": "object"
    },
    "ModelSubType": {
      "description": "Sub type model based on the model type.",
      "properties": {
        "modelType": {
          "description": "Sub type model based on the model type.\nThe allowed values are:\n- `PRE_TRAINED_KEY_VALUE_EXTRACTION`\n- `PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION`\n",
          "enum": [
            "PRE_TRAINED_KEY_VALUE_EXTRACTION",
            "PRE_TRAINED_DOCUMENT_ELEMENTS_EXTRACTION"
          ],
          "type": "string"
        }
      },
      "required": [
        "modelType"
      ],
      "type": "object"
    },
    "ResourceLock": {
      "description": "Resource locks prevent certain APIs from being called for the resource.\nA full lock prevents both updating and deleting the resource. A lock delete\nprevents deleting the resource.\n",
      "properties": {
        "compartmentId": {
          "description": "The lock compartment ID.",
          "type": "string"
        },
        "message": {
          "description": "A message added by the lock creator. The message typically gives an\nindication of why the resource is locked.\n",
          "type": "string"
        },
        "relatedResourceId": {
          "description": "The resource ID that is locking this resource. Indicates that deleting this resource removes the lock.\n",
          "type": "string"
        },
        "timeCreated": {
          "description": "Indicates when the lock was created, in the format defined by RFC 3339.",
          "format": "date-time",
          "type": "string"
        },
        "type": {
          "description": "Lock type.",
          "enum": [
            "FULL",
            "DELETE"
          ],
          "type": "string"
        }
      },
      "required": [
        "type",
        "compartmentId"
      ],
      "type": "object"
    }
  }
}

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