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.
View JSON Schema on GitHub

JSON Schema

zoho-create-auto-mlanalysis-deployment-config-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$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"
  ]
}

Work with this as data

Every JSON Schema here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for schemas

4 MCP tools reach this
  • find_json_schemasBrowse and filter every JSON Schema in the catalog.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This JSON Schema
curl "https://apis.io/api/v1/json-schemas/zoho-create-auto-mlanalysis-deployment-config"
All schemas
curl "https://apis.io/api/v1/json-schemas?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

A second provider on the same verified email joins the account you already have.