{
  "sections": [
    "title",
    "description",
    "file_information",
    "directory_location",
    "fields"
  ],
  "title": "MLPredictionDefinition - Metadata API",
  "description": "Represents a prediction definition that specifies details about the prediction. This type extends the Metadata metadata type and inherits its fullName field.",
  "file_information": ".mlPrediction",
  "directory_location": "mlPredictions",
  "fields_columns": [
    "type",
    "description"
  ],
  "fields": {
    "aiApplicationDeveloperName": {
      "type": "string",
      "description": "Represents the developer name of the parent AI application. Can contain only underscores and alphanumeric characters and must be unique in your org. It must begin with a letter, not include spaces, not end with an underscore, and not contain two consecutive underscores.",
      "required": true
    },
    "description": {
      "type": "string",
      "description": "Description of the prediction."
    },
    "developerName": {
      "type": "string",
      "description": "Represents the name of the prediction definition. Can contain only underscores and alphanumeric characters and must be unique in your org. It must begin with a letter, not include spaces, not end with an underscore, and not contain two consecutive underscores. Note: Only users with View DeveloperName OR View Setup and Configuration permission can view, group, sort, and filter this field.",
      "required": true
    },
    "masterLabel": {
      "type": "string",
      "description": "Label that identifies the ML prediction definition throughout the Salesforce user interface."
    },
    "negativeExpression": {
      "type": "MLFilter",
      "description": "Reserved for future use."
    },
    "positiveExpression": {
      "type": "MLFilter",
      "description": "Reserved for future use."
    },
    "predictionField": {
      "type": "string",
      "description": "Field that the prediction is based on."
    },
    "priority": {
      "type": "int",
      "description": "Reflects the priority of the MLPD object when an AIApplication has multiple child MLPDs. Nillable."
    },
    "pushbackField": {
      "type": "string",
      "description": "Field that the prediction writes scores to."
    },
    "status": {
      "type": "MLPredictionDefinitionStatus (enumeration of type string)",
      "description": "The status of the prediction. Valid values are: Enabled Disabled Draft",
      "required": true
    },
    "type": {
      "type": "AIPredictionType (enumeration of type string)",
      "description": "The type of model that returns the prediction values. Valid values are: BinaryClassification DeepLearningIntentClassification DeepLearningNameEntityRecognition GlobalDeepLearningIntentClassification GlobalDeepLearningNameEntityRecognition LanguageDetection MulticlassClassification Regression ScoringSpecificOutcome",
      "required": true
    }
  }
}