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Microsoft Azure Model API

The Model API from Microsoft Azure — 8 operation(s) for model.

Microsoft Azure Model API is one of 1667 APIs that Microsoft Azure publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include Model. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, an API reference, pricing, a JSON-LD context, and a getting-started guide.

This API exposes 14 operations across 8 paths, and defines 24 schemas. It is described by OpenAPI 3.2.0, at version 2020-08-01-preview.

14 operations 8 paths 24 schemas 3 DELETE8 GET1 PATCH1 POST1 PUT

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
2020-08-01-preview
Resource Areas
1

Paths & Operations 14

Across 8 paths, the API surfaces 14 operations — 3 DELETE, 8 GET, 1 PATCH, 1 POST, 1 PUT. Each is listed below with its method, path, parameters, and response codes.

Model 14
GET
/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/models/{id}
Microsoft Azure Gets A Model
microsoftAzureMlmodelsQuerybyid 4 params → 200default
DELETE
/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/models/{id}
Microsoft Azure Delete The Specified Model
microsoftAzureMlmodelsDelete 4 params → 200204default
PATCH
/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/models/{id}
Microsoft Azure Patch A Specific Model
microsoftAzureMlmodelsPatch 4 params body → 200default
GET
/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/models
Microsoft Azure Query The List Of Models In A Workspace
microsoftAzureMlmodelsListquery 12 params → 200default
POST
/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/models
Microsoft Azure Register A Model
microsoftAzureMlmodelsRegister 3 params body → 200default
GET
/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/models/{id}/metrics
Microsoft Azure Retrieve The Metrics For A Model
microsoftAzureMlmodelsGetmetrics 6 params → 200default
GET
/modelrecipes
Microsoft Azure Get Modelrecipes
microsoftAzureModelsListrecipes 1 param → 200default
GET
/models
Microsoft Azure Get Models
microsoftAzureModelsList 4 params → 200default
GET
/models/{id}
Microsoft Azure Get Models Id
microsoftAzureModelsGet 2 params → 200default
DELETE
/models/{id}
Microsoft Azure Delete Models Id
microsoftAzureModelsDelete 2 params → 204default
PUT
/models/{id}
Microsoft Azure Put Models Id
microsoftAzureModelsCreate 3 params body → 201default
GET
/model
Microsoft Azure Get Model
microsoftAzureModelGet → 200
DELETE
/model
Microsoft Azure Reset Model
microsoftAzureModelReset → 204default
GET
/model/properties
Microsoft Azure Get Model Properties
microsoftAzureModelGetproperties → 200

Schemas 24

The contract defines 24 schemas that model the data the API accepts and returns. The most detailed are Model (17 properties), Model_2 (13 properties), Recipe (9 properties), Error (5 properties). Each schema is shown below with its type and property counts.

Error
object
Top-level error follows Microsoft Azure REST API Guidelines which is available at https://github.com/microsoft/api-guidelines/blob/vNext/azure/Guidelines.mdhan…
5 properties 2 required
ResourceId
string
Resource id
InternalError
object
An object containing more specific information than the parent object about the error.
2 properties
ErrorResponse_2
object
Used to return an error to the client
1 property 1 required
ErrorCode
string
Top-level error code
InnerError
object
Inner error follows Microsoft Azure REST API Guidelines which is available at https://github.com/microsoft/api-guidelines/blob/vNext/azure/Guidelines.mdhandlin…
4 properties
ModelErrorResponse
object
The Model Management Service Error object.
4 properties
PaginatedModelList
object
A paginated list of Models.
2 properties
ModelOperationalState
object
The operational state of the Model.
3 properties
DeploymentSummary
object
The deployment summary.
2 properties
ErrorDetails
object
The error details.
3 properties
Recipe
object
Recipe for model building. Different recipes have different capability.
9 properties
ModelProperties
object
Model properties
4 properties
PaginatedModels
object
Paginated model list
2 properties 1 required
DatasetReference
object
The dataset reference object.
2 properties
ModelProperties_2
object
Properties related to the trained model.
2 properties
PresetStyleItem
object
Preset styles supported by the recipe. The voice model can support these styles without any style training set.
2 properties
ErrorResponse
object
Error response follows Microsoft Azure REST API Guidelines which is available at https://github.com/microsoft/api-guidelines/blob/vNext/azure/Guidelines.mdhand…
1 property 1 required
Model
object
An Azure Machine Learning Model.
17 properties 3 required
PersonalizerError
object
The error object.
5 properties 2 required
JsonPatchOperation
object
The Json Patch definition.
4 properties
ModelFailureReason
string
Model training failure reason
Model_2
object
Model object
13 properties 4 required
Status
string
Status of a resource.

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

microsoft-azure-model-api-openapi.yml Raw ↑

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Where this information came from

This is an independent, third-party profile of Microsoft Azure Model API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

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