Table of Contents

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  1. Preface
  2. Informatica Intelligent Cloud Services REST API
  3. Platform REST API version 2 resources
  4. Platform REST API version 3 resources
  5. Data Integration REST API
  6. Mass Ingestion Files REST API
  7. Mass Ingestion Streaming REST API
  8. Model Serve REST API
  9. RunAJob utility
  10. ParamSetCli utility
  11. REST API codes
  12. REST API resource quick references

REST API Reference

REST API Reference

Creating a model deployment

Creating a model deployment

Use the Documents resource to create a model deployment.

POST request

To create a model deployment, include the project or folder ID in the URI. Use the following URI:
/frs/v1/Projects('<project ID>')/Documents
Include the following fields in the request:
Field
Type
Description
name
String
Model deployment name.
description
String
Optional. Description of the model deployment.
documentType
String
Use
MLOPS_DEPLOYMENT
.
documentState
String
Use an empty string.
nativeData
Object
Blob object that defines the model deployment.
Include the following fields in the nativeData object:
Field
Type
Description
name
String
Model deployment name.
modelId
String
ID of the machine learning model to associate with this deployment.
computeUnits
Integer
Maximum number of compute units that you want the model deployment to use. Enter a whole number that is a multiple of 4 from 4 to 40.

POST response

Returns the model deployment summary.

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