RestApiCategories.autoMachineLearning.desc

auto_machine_learning

2025.08

2025.09

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2025.07

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

2024.09

2025.03

2024.03

Viya_35

Retrieves headers for a list of reports for a project that has completed modeling.

projectId

If provided, only the specified are returned. To specify multiple reports with this, use the parameter once for each report. For example, to return 3 reports named report1, report2, and report3, use ?reportName=report1&reportName=report2&reportName=report3

reportName

filter

Content-Type

No project with the provided ID was found.

Retrieve headers for completed project reports

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

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

Error

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

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

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
400	Bad Request	One or more parameters were invalid.	Headers
404	Not Found	No project with the provided ID was found.	Headers

Retrieve headers for completed project reports

Request Samples

Response Samples

Path Parameters

Query Parameters

Responses

Name	Type	Required	Description
filter	string	false	filter
reportName	array [string]	false	If provided, only the specified are returned. To specify multiple reports with this, use the parameter once for each report. For example, to return 3 reports named report1, report2, and report3, use ?reportName=report1&reportName=report2&reportName=report3