API_Request In-database Function Input | Azure Machine Learning | Vantage - API_Request In-database Function Input - Teradata Vantage

Teradata Vantageā„¢ - API Integration Guide for Cloud Machine Learning

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Vantage
Release Number
1.4
Published
September 2023
Language
English (United States)
Last Update
2023-09-28
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When API_Request in-database function is running with Azure Machine Learning, it has the following input requirements.

Input table columns are used to form the model input for Azure Machine Learning deployed models.

START_KEY_INDEX can be used to make few columns pass through without going to Azure Machine Learning models.

Along with the input table, ENDPOINT, AUTHORIZATION are required arguments.

Supported Input Data Types

API_Request supports following data types.

In CSV and JSON content types, all columns are serialized into string and then a csv or json structure is formed.

Data Type Category Teradata Data Type
Numeric
  • BYTEINT
  • SMALLINT
  • INTEGER
  • BIGINT
  • DECIMAL/NUMERIC
  • FLOAT/REAL/DOUBLE PRECISION
Character
  • CHAR
  • VARCHAR
DateTime
  • DATE
  • TIME
  • TIMESTAMP
  • TIME WITH TIME ZONE
  • TIMESTAMP WITH TIME ZONE