Items - Create ML Model
Creates a machine learning model in the specified workspace.
This API supports long running operations (LRO).
This API does not support create an machine learning model with definition.
Permissions
The caller must have contributor or higher workspace role.
Required Delegated Scopes
MLModel.ReadWrite.All or Item.ReadWrite.All
Limitations
- To create a machine learning model the workspace must be on a supported Fabric capacity. For more information see: Microsoft Fabric license types.
Microsoft Entra supported identities
This API supports the Microsoft identities listed in this section.
Identity | Support |
---|---|
User | Yes |
Service principal | No |
Managed identities | No |
Interface
POST https://api.fabric.microsoft.com/v1/workspaces/{workspaceId}/mlModels
URI Parameters
Name | In | Required | Type | Description |
---|---|---|---|---|
workspace
|
path | True |
string uuid |
The workspace ID. |
Request Body
Name | Required | Type | Description |
---|---|---|---|
displayName | True |
string |
The machine learning model display name. The display name must follow naming rules according to item type. |
description |
string |
The machine learning model description. Maximum length is 256 characters. |
Responses
Name | Type | Description |
---|---|---|
201 Created |
Successfully created |
|
202 Accepted |
Request accepted, machine learning model provisioning in progress. Headers
|
|
Other Status Codes |
Common error codes:
|
Examples
Create a machine learning model example
Sample request
POST https://api.fabric.microsoft.com/v1/workspaces/cfafbeb1-8037-4d0c-896e-a46fb27ff229/mlModels
{
"displayName": "MLModel_1",
"description": "A machine learning model description."
}
Sample response
{
"displayName": "MLModel_1",
"description": "A machine learning model description.",
"type": "MLModel",
"workspaceId": "cfafbeb1-8037-4d0c-896e-a46fb27ff229",
"id": "5b218778-e7a5-4d73-8187-f10824047715"
}
Location: https://api.fabric.microsoft.com/v1/operations/0acd697c-1550-43cd-b998-91bfbfbd47c6
x-ms-operation-id: 0acd697c-1550-43cd-b998-91bfbfbd47c6
Retry-After: 30
Definitions
Name | Description |
---|---|
Create |
Create machine learning model request payload. |
Error |
The error related resource details object. |
Error |
The error response. |
Error |
The error response details. |
Item |
The type of the item. Additional item types may be added over time. |
MLModel |
A machine learning model object. |
CreateMLModelRequest
Create machine learning model request payload.
Name | Type | Description |
---|---|---|
description |
string |
The machine learning model description. Maximum length is 256 characters. |
displayName |
string |
The machine learning model display name. The display name must follow naming rules according to item type. |
ErrorRelatedResource
The error related resource details object.
Name | Type | Description |
---|---|---|
resourceId |
string |
The resource ID that's involved in the error. |
resourceType |
string |
The type of the resource that's involved in the error. |
ErrorResponse
The error response.
Name | Type | Description |
---|---|---|
errorCode |
string |
A specific identifier that provides information about an error condition, allowing for standardized communication between our service and its users. |
message |
string |
A human readable representation of the error. |
moreDetails |
List of additional error details. |
|
relatedResource |
The error related resource details. |
|
requestId |
string |
ID of the request associated with the error. |
ErrorResponseDetails
The error response details.
Name | Type | Description |
---|---|---|
errorCode |
string |
A specific identifier that provides information about an error condition, allowing for standardized communication between our service and its users. |
message |
string |
A human readable representation of the error. |
relatedResource |
The error related resource details. |
ItemType
The type of the item. Additional item types may be added over time.
Name | Type | Description |
---|---|---|
Dashboard |
string |
PowerBI dashboard. |
DataPipeline |
string |
A data pipeline. |
Datamart |
string |
PowerBI datamart. |
Environment |
string |
An environment. |
Eventhouse |
string |
An eventhouse. |
Eventstream |
string |
An eventstream. |
KQLDashboard |
string |
A KQL dashboard. |
KQLDatabase |
string |
A KQL database. |
KQLQueryset |
string |
A KQL queryset. |
Lakehouse |
string |
A lakehouse. |
MLExperiment |
string |
A machine learning experiment. |
MLModel |
string |
A machine learning model. |
MirroredDatabase |
string |
A mirrored database. |
MirroredWarehouse |
string |
A mirrored warehouse. |
Notebook |
string |
A notebook. |
PaginatedReport |
string |
PowerBI paginated report. |
Reflex |
string |
A Reflex. |
Report |
string |
PowerBI report. |
SQLEndpoint |
string |
An SQL endpoint. |
SemanticModel |
string |
PowerBI semantic model. |
SparkJobDefinition |
string |
A spark job definition. |
Warehouse |
string |
A warehouse. |
MLModel
A machine learning model object.
Name | Type | Description |
---|---|---|
description |
string |
The item description. |
displayName |
string |
The item display name. |
id |
string |
The item ID. |
type |
The item type. |
|
workspaceId |
string |
The workspace ID. |