Zoho · Schema
CreateAutoMLAnalysisDeploymentConfig
AnalyticsCollaborationCRMCustomer ServiceEmailFinanceHuman ResourcesProject ManagementZoho
Properties
| Name | Type | Description |
|---|---|---|
| inputTableId | integer | Unique ID of the input table from which data will be read for AutoML analysis deployment. |
| outputTable | string | Name of the output table where the prediction results will be stored. |
| scheduleDetails | object | |
| outputColumns | array | List of column names that will be written to the output table as part of the prediction results. |
| predictionColumn | string | Name of the column for which predictions will be generated. |
| serverOption | integer | Specifies the server memory configuration for executing the AutoML deployment job. |
| timezone | string | Timezone to be used for scheduling the deployment job. |
| importType | string | Specifies how prediction results should be imported into the output table. |
| matchingColumns | array | List of column names used to match existing records in the output table when importType is UPDATEADD. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://raw.githubusercontent.com/api-evangelist/zoho/main/json-schema/zoho-create-auto-mlanalysis-deployment-config-schema.json",
"title": "CreateAutoMLAnalysisDeploymentConfig",
"x-generated": "2026-10-04",
"x-method": "derived",
"x-generator": "derive-json-schema.py",
"x-source": "openapi/zoho-modeling-apis-api-openapi.yml#/components/schemas/CreateAutoMLAnalysisDeploymentConfig",
"type": "object",
"properties": {
"inputTableId": {
"type": "integer",
"description": "Unique ID of the input table from which data will be read for AutoML analysis deployment.",
"maxLength": 60
},
"outputTable": {
"type": "string",
"description": "Name of the output table where the prediction results will be stored."
},
"scheduleDetails": {
"type": "object",
"properties": {
"calendarFrequency": {
"type": "string",
"enum": [
"none",
"hourly",
"daily",
"weekly",
"monthly"
],
"description": "Defines the frequency at which the deployment job should run."
},
"interval": {
"type": "integer",
"description": "Specifies the interval for the schedule based on calendarFrequency."
},
"hour": {
"type": "integer",
"description": "Specifies the hour of the day (0-23) when the deployment job should be triggered."
},
"hourInterval": {
"type": "integer",
"description": "Specifies the hour interval between executions when applicable."
},
"minute": {
"type": "integer",
"description": "Specifies the minute within the hour (0-59) when the deployment job should be triggered."
},
"weekDay": {
"type": "integer",
"description": "Specifies the day of the week when the deployment job should be triggered.",
"enum": [
1,
2,
3,
4,
5,
6,
7
]
},
"monthDay": {
"type": "integer",
"description": "Specifies a particular day of the month when the deployment job should be triggered.",
"enum": [
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
99
]
}
},
"required": [
"calendarFrequency"
]
},
"outputColumns": {
"type": "array",
"items": {
"type": "string",
"description": "Each value must be a valid column name."
},
"minItems": 1,
"maxItems": 100,
"description": "List of column names that will be written to the output table as part of the prediction results."
},
"predictionColumn": {
"type": "string",
"description": "Name of the column for which predictions will be generated."
},
"serverOption": {
"type": "integer",
"enum": [
1,
2,
3
],
"description": "Specifies the server memory configuration for executing the AutoML deployment job."
},
"timezone": {
"type": "string",
"description": "Timezone to be used for scheduling the deployment job."
},
"importType": {
"type": "string",
"enum": [
"APPEND",
"TRUNCATEADD",
"UPDATEADD"
],
"description": "Specifies how prediction results should be imported into the output table."
},
"matchingColumns": {
"type": "array",
"items": {
"type": "string",
"description": "Each value must be a valid column name."
},
"description": "List of column names used to match existing records in the output table when importType is UPDATEADD."
}
},
"required": [
"inputTableId",
"outputTable",
"scheduleDetails",
"outputColumns",
"predictionColumn",
"serverOption",
"importType"
]
}
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