{
"sections": [
"title",
"description",
"file_information",
"directory_location",
"fields",
"sub_types",
"wsdl_segment",
"declarative_metadata_sample_definition"
],
"title": "AIScoringModelDefinition - Metadata API",
"description": "Represents information about a machine learning model that’s used by the Scoring Framework for Industries Cloud Einstein. The machine learning model is used for scoring, including its configuration.",
"file_information": ".aiScoringModelDefinition",
"directory_location": "aiScoringModelDefinitions",
"fields_columns": [
"type",
"required",
"description"
],
"fields": {
"aiModelConfig": {
"type": "string",
"required": true,
"description": "ID of an AI model configuration related to the AI scoring model record."
},
"aiScoringModelDefVersions": {
"type": "AIScoringModelDefVersion[]",
"description": "Represents information of various versions of a model."
},
"description": {
"type": "string",
"description": "Description for an AIScoringModelDefinition record."
},
"masterLabel": {
"type": "string",
"required": true,
"description": "A user-friendly name for the AIScoringModelDefinition metadata component, which is defined when the AIScoringModelDefinition metadata component is created."
}
},
"sub_types": {
"AIScoringModelDefVersion": {
"aiScoringModelDefinition": {
"type": "string",
"required": true,
"description": "Parent AIScoringModelDefinition record that’s related to an AIScoringModelDefVersion record."
},
"aiScoringSteps": {
"type": "AIScoringStep[]",
"description": "Represents information about a step associated with an AI scoring model version."
},
"developerName": {
"type": "string",
"required": true,
"description": "The unique name of the object in the API. This name 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. In managed packages, this field prevents naming conflicts on package installations. With this field, a developer can change the object’s name in a managed package and the changes are reflected in a subscriber’s organization. Label is Record Type Name."
},
"masterLabel": {
"type": "string",
"required": true,
"description": "A user-friendly name for the AIScoringModelDefVersion component name, which is defined when the AIScoringModelDefVersion component name is created."
},
"modelMode": {
"type": "AIScoringModelDefVersionMode (enumeration of type string)",
"required": true,
"description": "Mode of an AI scoring model.Values are: DEPLOY TRAIN TRAIN_AND_DEPLOY"
}
},
"AIScoringStep": {
"aiModelConfigStep": {
"type": "string",
"required": true,
"description": "ID of the AI model config step that’s related to the AIScoringStep record."
},
"stepDetail": {
"type": "string",
"description": "Scoring step details in JSON format."
}
}
},
"wsdl_segment": "```xml\n\n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n\n```",
"declarative_metadata_sample_definition": [
{
"description": "Here’s an example of an AIScoringModelDefinition component.",
"code": "\n\n Prediction_Scores_for_Accounts\n \n V1\n Test\n \n Prediction_Scores_for_Accounts.GrainSelector\n {label:Account,name:Account}\n \n \n Prediction_Scores_for_Accounts.AugmentedDataset\n \n \n Prediction_Scores_for_Accounts.TargetConditionBuilder\n {specificOutcomeDefined:Yes,label:Financial accounts are associated with an account,name:FA_Target}\n \n \n Prediction_Scores_for_Accounts.InputVariableSelector\n \n \n Prediction_Scores_for_Accounts.CustomFilter\n \n \n Prediction_Scores_for_Accounts.WriteBackConnector\n \n V1\n V1\n TRAIN_AND_DEPLOY\n \n Test for metadata\n Test\n"
}
]
}