RestApiCategories.autoMachineLearning.desc

auto_machine_learning

2026.02

The Machine Learning Pipeline Automation (MLPA) API enables CRUD operations on automation projects, which automates VDMML project creation, pipeline building and training, and the production of champion models.

Machine Learning Pipeline Automation

2025.09

2025.11

2025.12

2026.01

2024.09

2025.03

2024.03

Viya_35

Retrieve details for a specific project share by its ID.

projectId

shareId

This object contains information about a project share, including who the project is shared with and what level of access they have.

Automation Project Share

Content-Type

An entity tag that identifies the current version of the share

ETag

The date and time that the share was last modified

Last-Modified

The specified project could not be found.

The specified project share could not be found.

Error

application/vnd.sas.error

Get a specific project share

This object contains a list of analytics project attributes related to Model Studio project settings.


Analytics Project Attributes

An analytics report consisting of rows of data and associated metadata (parameters).

Analytics Report

The list of links to top-level resources and operations available from the root of the API.

A collection of optional settings to configure an automation project after Model Studio project is created based on analyticsProjectAttributes.


Automation Project Settings

Response object returned when a project share is created asynchronously.
Contains the share request details and a link to poll for the fully synchronized share.
The share ID, timestamps, and other fields will be available after the async sync completes.


Automation Project Share Create Response

Automation Project state. One of the enums [pending, preparing, waiting, ready, modeling, constructingPipeline, runningPipeline, quiescing, quiesced, completed, canceled, failed, oversampling, retraining].

Automation Project State

This is a base schema used to define paginated collections of resources. This base schema is extended by other schemas in APIs by adding an 'items' array property. These extensions define the application/vnd.sas.collection media type (version 2)

Base Collection

This object contains a summary of champion model.

Champion Model

This object contains the response to a champion model action.

Champion Model Action Response

Data Row

The callback schema for Data Mining GenAI jobs.

genAiCallback

Input Data that will be scored.  This doesn't represent any top-level media type.

Input Data

Job Definition

Job Definition Parameter

A link to a related operation or resource.

Link

This object contains metadata and information about an automation project.

Machine Learning Pipeline Automation Project

This object contains a list of automation project objects.

Machine Learning Pipeline Automation Project Collection

This object contains information for a pipeline template that can be used in project creation.

Machine Learning Pipeline Template

This object contains a list of machine learning pipeline templates.

Machine Learning Pipeline Template Collection

Assigning Input Data column to a variable of the generated Mapped Code of Score Object. This doesn't represent any top-level media type.

Mapping

Descriptor of a Score Object whose logic is used to produce a score for Input Data. This doesn't represent any top-level media type.

Object Descriptor

Output generated by score execution or analysis. This doesn't represent any top-level media type.

Output Table

Overrides the details of the existing Score definition.  This doesn't represent any top-level media type.

Override Score Definition

Metadata describing a particular variable.

Parameter

This object contains a list of project shares.

Project Share Collection

Project Share Type

A pair consisting of a string name and a string value. This is an element of `application/vnd.sas.properties`

Property

This object contains publish destination information.

Publish Destination

The collection of application/vnd.sas.analytics.report+json representations.

Report Collection

This object contains a data field name value pair for score data inputs and outputs.

Score Data Field Name/Value Pair

Score Data Input

Score Data Output

A definition containing details about Input Data, Score Object and Mapping. This represents application/vnd.sas.score.definition media type (version 1).

Score Definition

Contains details about execution results. This represents application/vnd.sas.score.execution media type (version 1).

Score Execution

Contains request details about how to generate score. This represents application/vnd.sas.score.execution.request media type (version 1).

Score Execution Request

The type of entity the project is shared with.
- `user`: Share with an individual user
- `group`: Share with a group of users

Values must be exactly `user`, `USER`, `group`, or `GROUP` (case-sensitive, lowercase or UPPERCASE only).


Shared With Type

Supervised Learning Algorithm. One of the enums [DecisionTree, Forest, GAM, GradientBoosting, NeuralNetwork, Regression, Ensemble, SVM].

Supervised Learning Algorithm

Describes the behavior of a supervised learning algorithm during pipeline generation. One of the enums [consider, exclude, forceInclude].

Supervised Learning Algorithm Behavior in Pipeline Generation

This object contains a list of supervised learning algorithms.

Supervised Learning Algorithm Collection

A collection of settings to configure a supervised learning algorithm. defaultBehavior field is read-only.

Status	Meaning	Description
200	OK	The request succeeded.	Headers	Schema
404	Not Found	No share with the provided ID was found.		Schema

Get a specific project share

Request Samples

Response Samples

Path Parameters

Responses

Name	Type	Required	Description
projectId	string	true	The automation project ID
shareId	string	true	The project share ID