mlmodel

package
v0.1.0-beta.11 Latest Latest
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 Go to latest Published: Jan 30, 2025 License: MIT Imports: 15 Imported by: 0

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Index

Examples

Constants

This section is empty.

Variables

This section is empty.

Functions

This section is empty.

Types

type ClientFactory 

type ClientFactory struct {
	// contains filtered or unexported fields
}

ClientFactory is a client factory used to create any client in this module. Don't use this type directly, use NewClientFactory instead.

func NewClientFactory 

func NewClientFactory(credential azcore.TokenCredential, endpoint *string, options *azcore.ClientOptions) (*ClientFactory, error)

NewClientFactory creates a new instance of ClientFactory with the specified values. The parameter values will be propagated to any client created from this factory.

  • credential - used to authorize requests. Usually a credential from azidentity.
  • endpoint - pass nil to accept the default values.
  • options - pass nil to accept the default values.

func NewClientFactoryWithClient 

func NewClientFactoryWithClient(client fabric.Client) *ClientFactory

NewClientFactoryWithClient creates a new instance of ClientFactory with sharable Client. The Client will be propagated to any client created from this factory.

  • client - Client created in the containing module: github.com/microsoft/fabric-sdk-go/fabric

func (*ClientFactory) NewItemsClient 

func (c *ClientFactory) NewItemsClient() *ItemsClient

NewItemsClient creates a new instance of ItemsClient.

type CreateMLModelRequest 

type CreateMLModelRequest struct {
	// REQUIRED; The machine learning model display name. The display name must follow naming rules according to item type.
	DisplayName *string

	// The machine learning model description. Maximum length is 256 characters.
	Description *string
}

CreateMLModelRequest - Create machine learning model request payload.

func (CreateMLModelRequest) MarshalJSON 

func (c CreateMLModelRequest) MarshalJSON() ([]byte, error)

MarshalJSON implements the json.Marshaller interface for type CreateMLModelRequest.

func (*CreateMLModelRequest) UnmarshalJSON 

func (c *CreateMLModelRequest) UnmarshalJSON(data []byte) error

UnmarshalJSON implements the json.Unmarshaller interface for type CreateMLModelRequest.

type ItemType 

type ItemType string

ItemType - The type of the item. Additional item types may be added over time. 

const (
	// ItemTypeDashboard - PowerBI dashboard.
	ItemTypeDashboard ItemType = "Dashboard"
	// ItemTypeDataPipeline - A data pipeline.
	ItemTypeDataPipeline ItemType = "DataPipeline"
	// ItemTypeDatamart - PowerBI datamart.
	ItemTypeDatamart ItemType = "Datamart"
	// ItemTypeEnvironment - An environment.
	ItemTypeEnvironment ItemType = "Environment"
	// ItemTypeEventhouse - An eventhouse.
	ItemTypeEventhouse ItemType = "Eventhouse"
	// ItemTypeEventstream - An eventstream.
	ItemTypeEventstream ItemType = "Eventstream"
	// ItemTypeGraphQLAPI - An API for GraphQL item.
	ItemTypeGraphQLAPI ItemType = "GraphQLApi"
	// ItemTypeKQLDashboard - A KQL dashboard.
	ItemTypeKQLDashboard ItemType = "KQLDashboard"
	// ItemTypeKQLDatabase - A KQL database.
	ItemTypeKQLDatabase ItemType = "KQLDatabase"
	// ItemTypeKQLQueryset - A KQL queryset.
	ItemTypeKQLQueryset ItemType = "KQLQueryset"
	// ItemTypeLakehouse - A lakehouse.
	ItemTypeLakehouse ItemType = "Lakehouse"
	// ItemTypeMLExperiment - A machine learning experiment.
	ItemTypeMLExperiment ItemType = "MLExperiment"
	// ItemTypeMLModel - A machine learning model.
	ItemTypeMLModel ItemType = "MLModel"
	// ItemTypeMirroredDatabase - A mirrored database.
	ItemTypeMirroredDatabase ItemType = "MirroredDatabase"
	// ItemTypeMirroredWarehouse - A mirrored warehouse.
	ItemTypeMirroredWarehouse ItemType = "MirroredWarehouse"
	// ItemTypeNotebook - A notebook.
	ItemTypeNotebook ItemType = "Notebook"
	// ItemTypePaginatedReport - PowerBI paginated report.
	ItemTypePaginatedReport ItemType = "PaginatedReport"
	// ItemTypeReflex - A Reflex.
	ItemTypeReflex ItemType = "Reflex"
	// ItemTypeReport - PowerBI report.
	ItemTypeReport ItemType = "Report"
	// ItemTypeSQLEndpoint - An SQL endpoint.
	ItemTypeSQLEndpoint ItemType = "SQLEndpoint"
	// ItemTypeSemanticModel - PowerBI semantic model.
	ItemTypeSemanticModel ItemType = "SemanticModel"
	// ItemTypeSparkJobDefinition - A spark job definition.
	ItemTypeSparkJobDefinition ItemType = "SparkJobDefinition"
	// ItemTypeWarehouse - A warehouse.
	ItemTypeWarehouse ItemType = "Warehouse"
)

func PossibleItemTypeValues 

func PossibleItemTypeValues() []ItemType

PossibleItemTypeValues returns the possible values for the ItemType const type.

type ItemsClient 

type ItemsClient struct {
	// contains filtered or unexported fields
}

ItemsClient contains the methods for the Items group. Don't use this type directly, use a constructor function instead.

func (*ItemsClient) BeginCreateMLModel 

func (client *ItemsClient) BeginCreateMLModel(ctx context.Context, workspaceID string, createMLModelRequest CreateMLModelRequest, options *ItemsClientBeginCreateMLModelOptions) (*runtime.Poller[ItemsClientCreateMLModelResponse], error)

BeginCreateMLModel - This API supports long running operations (LRO) [/rest/api/fabric/articles/long-running-operation]. 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 [/fabric/enterprise/licenses#microsoft-fabric-license-types]. MICROSOFT ENTRA SUPPORTED IDENTITIES This API supports the Microsoft identities [/rest/api/fabric/articles/identity-support] listed in this section. | Identity | Support | |-|-| | User | Yes | | Service principal [/entra/identity-platform/app-objects-and-service-principals#service-principal-object] and Managed identities [/entra/identity/managed-identities-azure-resources/overview] | No | INTERFACE If the operation fails it returns an *core.ResponseError type.

Generated from API version v1

  • workspaceID - The workspace ID.
  • createMLModelRequest - Create item request payload.
  • options - ItemsClientBeginCreateMLModelOptions contains the optional parameters for the ItemsClient.BeginCreateMLModel method.
Example

Generated from example definition 

package main

import (
	"context"
	"log"

	"github.com/Azure/azure-sdk-for-go/sdk/azcore/to"
	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"

	"github.com/microsoft/fabric-sdk-go/fabric/mlmodel"
)

func main() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := mlmodel.NewClientFactory(cred, nil, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	poller, err := clientFactory.NewItemsClient().BeginCreateMLModel(ctx, "cfafbeb1-8037-4d0c-896e-a46fb27ff229", mlmodel.CreateMLModelRequest{
		Description: to.Ptr("A machine learning model description."),
		DisplayName: to.Ptr("MLModel_1"),
	}, nil)
	if err != nil {
		log.Fatalf("failed to finish the request: %v", err)
	}
	_, err = poller.PollUntilDone(ctx, nil)
	if err != nil {
		log.Fatalf("failed to pull the result: %v", err)
	}
}

Output:

func (*ItemsClient) CreateMLModel 

func (client *ItemsClient) CreateMLModel(ctx context.Context, workspaceID string, createMLModelRequest CreateMLModelRequest, options *ItemsClientBeginCreateMLModelOptions) (ItemsClientCreateMLModelResponse, error)

CreateMLModel - returns ItemsClientCreateMLModelResponse in sync mode. This API supports long running operations (LRO) [/rest/api/fabric/articles/long-running-operation].

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 [/fabric/enterprise/licenses#microsoft-fabric-license-types].

MICROSOFT ENTRA SUPPORTED IDENTITIES This API supports the Microsoft identities [/rest/api/fabric/articles/identity-support] listed in this section.

| Identity | Support | |-|-| | User | Yes | | Service principal [/entra/identity-platform/app-objects-and-service-principals#service-principal-object] and Managed identities [/entra/identity/managed-identities-azure-resources/overview] | No |

INTERFACE Generated from API version v1

  • workspaceID - The workspace ID.
  • createMLModelRequest - Create item request payload.
  • options - ItemsClientBeginCreateMLModelOptions contains the optional parameters for the ItemsClient.BeginCreateMLModel method.

func (*ItemsClient) DeleteMLModel 

func (client *ItemsClient) DeleteMLModel(ctx context.Context, workspaceID string, mlModelID string, options *ItemsClientDeleteMLModelOptions) (ItemsClientDeleteMLModelResponse, error)

DeleteMLModel - PERMISSIONS The caller must have contributor or higher workspace role. REQUIRED DELEGATED SCOPES MLModel.ReadWrite.All or Item.ReadWrite.All MICROSOFT ENTRA SUPPORTED IDENTITIES This API supports the Microsoft identities [/rest/api/fabric/articles/identity-support] listed in this section. | Identity | Support | |-|-| | User | Yes | | Service principal [/entra/identity-platform/app-objects-and-service-principals#service-principal-object] and Managed identities [/entra/identity/managed-identities-azure-resources/overview] | No | INTERFACE If the operation fails it returns an *core.ResponseError type.

Generated from API version v1

  • workspaceID - The workspace ID.
  • mlModelID - The machine learning model ID.
  • options - ItemsClientDeleteMLModelOptions contains the optional parameters for the ItemsClient.DeleteMLModel method.
Example

Generated from example definition 

package main

import (
	"context"
	"log"

	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"

	"github.com/microsoft/fabric-sdk-go/fabric/mlmodel"
)

func main() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := mlmodel.NewClientFactory(cred, nil, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	_, err = clientFactory.NewItemsClient().DeleteMLModel(ctx, "cfafbeb1-8037-4d0c-896e-a46fb27ff229", "5b218778-e7a5-4d73-8187-f10824047715", nil)
	if err != nil {
		log.Fatalf("failed to finish the request: %v", err)
	}
}

Output:

func (*ItemsClient) GetMLModel 

func (client *ItemsClient) GetMLModel(ctx context.Context, workspaceID string, mlModelID string, options *ItemsClientGetMLModelOptions) (ItemsClientGetMLModelResponse, error)

GetMLModel - PERMISSIONS The caller must have viewer or higher workspace role. REQUIRED DELEGATED SCOPES MLModel.Read.All or MLModel.ReadWrite.All or Item.Read.All or Item.ReadWrite.All MICROSOFT ENTRA SUPPORTED IDENTITIES This API supports the Microsoft identities [/rest/api/fabric/articles/identity-support] listed in this section. | Identity | Support | |-|-| | User | Yes | | Service principal [/entra/identity-platform/app-objects-and-service-principals#service-principal-object] and Managed identities [/entra/identity/managed-identities-azure-resources/overview] | No | INTERFACE If the operation fails it returns an *core.ResponseError type.

Generated from API version v1

  • workspaceID - The workspace ID.
  • mlModelID - The machine learning model ID.
  • options - ItemsClientGetMLModelOptions contains the optional parameters for the ItemsClient.GetMLModel method.
Example

Generated from example definition 

package main

import (
	"context"
	"log"

	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"

	"github.com/microsoft/fabric-sdk-go/fabric/mlmodel"
)

func main() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := mlmodel.NewClientFactory(cred, nil, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	res, err := clientFactory.NewItemsClient().GetMLModel(ctx, "cfafbeb1-8037-4d0c-896e-a46fb27ff229", "5b218778-e7a5-4d73-8187-f10824047715", nil)
	if err != nil {
		log.Fatalf("failed to finish the request: %v", err)
	}
	// You could use response here. We use blank identifier for just demo purposes.
	_ = res
	// If the HTTP response code is 200 as defined in example definition, your response structure would look as follows. Please pay attention that all the values in the output are fake values for just demo purposes.
	// res.MLModel = mlmodel.MLModel{
	// 	Type: to.Ptr(mlmodel.ItemTypeMLModel),
	// 	Description: to.Ptr("A machine learning model description."),
	// 	DisplayName: to.Ptr("MLModel_1"),
	// 	ID: to.Ptr("5b218778-e7a5-4d73-8187-f10824047715"),
	// 	WorkspaceID: to.Ptr("cfafbeb1-8037-4d0c-896e-a46fb27ff229"),
	// }
}

Output:

func (*ItemsClient) ListMLModels 

func (client *ItemsClient) ListMLModels(ctx context.Context, workspaceID string, options *ItemsClientListMLModelsOptions) ([]MLModel, error)

ListMLModels - returns array of MLModel from all pages. This API supports pagination [/rest/api/fabric/articles/pagination].

PERMISSIONS The caller must have viewer or higher workspace role.

REQUIRED DELEGATED SCOPES Workspace.Read.All or Workspace.ReadWrite.All

MICROSOFT ENTRA SUPPORTED IDENTITIES This API supports the Microsoft identities [/rest/api/fabric/articles/identity-support] listed in this section.

| Identity | Support | |-|-| | User | Yes | | Service principal [/entra/identity-platform/app-objects-and-service-principals#service-principal-object] and Managed identities [/entra/identity/managed-identities-azure-resources/overview] | No |

INTERFACE Generated from API version v1

  • workspaceID - The workspace ID.
  • options - ItemsClientListMLModelsOptions contains the optional parameters for the ItemsClient.NewListMLModelsPager method.

func (*ItemsClient) NewListMLModelsPager 

func (client *ItemsClient) NewListMLModelsPager(workspaceID string, options *ItemsClientListMLModelsOptions) *runtime.Pager[ItemsClientListMLModelsResponse]

NewListMLModelsPager - This API supports pagination [/rest/api/fabric/articles/pagination]. PERMISSIONS The caller must have viewer or higher workspace role. REQUIRED DELEGATED SCOPES Workspace.Read.All or Workspace.ReadWrite.All MICROSOFT ENTRA SUPPORTED IDENTITIES This API supports the Microsoft identities [/rest/api/fabric/articles/identity-support] listed in this section. | Identity | Support | |-|-| | User | Yes | | Service principal [/entra/identity-platform/app-objects-and-service-principals#service-principal-object] and Managed identities [/entra/identity/managed-identities-azure-resources/overview] | No | INTERFACE

Generated from API version v1

  • workspaceID - The workspace ID.
  • options - ItemsClientListMLModelsOptions contains the optional parameters for the ItemsClient.NewListMLModelsPager method.
Example

Generated from example definition 

package main

import (
	"context"
	"log"

	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"

	"github.com/microsoft/fabric-sdk-go/fabric/mlmodel"
)

func main() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := mlmodel.NewClientFactory(cred, nil, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	pager := clientFactory.NewItemsClient().NewListMLModelsPager("cfafbeb1-8037-4d0c-896e-a46fb27ff229", &mlmodel.ItemsClientListMLModelsOptions{ContinuationToken: nil})
	for pager.More() {
		page, err := pager.NextPage(ctx)
		if err != nil {
			log.Fatalf("failed to advance page: %v", err)
		}
		for _, v := range page.Value {
			// You could use page here. We use blank identifier for just demo purposes.
			_ = v
		}
		// If the HTTP response code is 200 as defined in example definition, your page structure would look as follows. Please pay attention that all the values in the output are fake values for just demo purposes.
		// page.MLModels = mlmodel.MLModels{
		// 	Value: []mlmodel.MLModel{
		// 		{
		// 			Type: to.Ptr(mlmodel.ItemTypeMLModel),
		// 			Description: to.Ptr("A machine learning model description."),
		// 			DisplayName: to.Ptr("MLModel_1"),
		// 			ID: to.Ptr("3546052c-ae64-4526-b1a8-52af7761426f"),
		// 			WorkspaceID: to.Ptr("cfafbeb1-8037-4d0c-896e-a46fb27ff229"),
		// 		},
		// 		{
		// 			Type: to.Ptr(mlmodel.ItemTypeMLModel),
		// 			Description: to.Ptr("A machine learning model description."),
		// 			DisplayName: to.Ptr("MLModel_2"),
		// 			ID: to.Ptr("f2a6411d-c204-47d3-b992-5338be0d2cee"),
		// 			WorkspaceID: to.Ptr("cfafbeb1-8037-4d0c-896e-a46fb27ff229"),
		// 	}},
		// }
	}
}

Output:

func (*ItemsClient) UpdateMLModel 

func (client *ItemsClient) UpdateMLModel(ctx context.Context, workspaceID string, mlModelID string, updateMLModelRequest UpdateMLModelRequest, options *ItemsClientUpdateMLModelOptions) (ItemsClientUpdateMLModelResponse, error)

UpdateMLModel - PERMISSIONS The caller must have contributor or higher workspace role. REQUIRED DELEGATED SCOPES MLModel.ReadWrite.All or Item.ReadWrite.All LIMITATIONS * MLModel display name cannot be changed. MICROSOFT ENTRA SUPPORTED IDENTITIES This API supports the Microsoft identities [/rest/api/fabric/articles/identity-support] listed in this section. | Identity | Support | |-|-| | User | Yes | | Service principal [/entra/identity-platform/app-objects-and-service-principals#service-principal-object] and Managed identities [/entra/identity/managed-identities-azure-resources/overview] | No | INTERFACE If the operation fails it returns an *core.ResponseError type.

Generated from API version v1

  • workspaceID - The workspace ID.
  • mlModelID - The machine learning model ID.
  • updateMLModelRequest - Update machine learning model request payload.
  • options - ItemsClientUpdateMLModelOptions contains the optional parameters for the ItemsClient.UpdateMLModel method.
Example

Generated from example definition 

package main

import (
	"context"
	"log"

	"github.com/Azure/azure-sdk-for-go/sdk/azcore/to"
	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"

	"github.com/microsoft/fabric-sdk-go/fabric/mlmodel"
)

func main() {
	cred, err := azidentity.NewDefaultAzureCredential(nil)
	if err != nil {
		log.Fatalf("failed to obtain a credential: %v", err)
	}
	ctx := context.Background()
	clientFactory, err := mlmodel.NewClientFactory(cred, nil, nil)
	if err != nil {
		log.Fatalf("failed to create client: %v", err)
	}
	res, err := clientFactory.NewItemsClient().UpdateMLModel(ctx, "cfafbeb1-8037-4d0c-896e-a46fb27ff229", "5b218778-e7a5-4d73-8187-f10824047715", mlmodel.UpdateMLModelRequest{
		Description: to.Ptr("A new description for machine learning model."),
	}, nil)
	if err != nil {
		log.Fatalf("failed to finish the request: %v", err)
	}
	// You could use response here. We use blank identifier for just demo purposes.
	_ = res
	// If the HTTP response code is 200 as defined in example definition, your response structure would look as follows. Please pay attention that all the values in the output are fake values for just demo purposes.
	// res.MLModel = mlmodel.MLModel{
	// 	Type: to.Ptr(mlmodel.ItemTypeMLModel),
	// 	Description: to.Ptr("A new description for machine learning model."),
	// 	DisplayName: to.Ptr("MLModel's name"),
	// 	ID: to.Ptr("5b218778-e7a5-4d73-8187-f10824047715"),
	// 	WorkspaceID: to.Ptr("cfafbeb1-8037-4d0c-896e-a46fb27ff229"),
	// }
}

Output:

type ItemsClientBeginCreateMLModelOptions 

type ItemsClientBeginCreateMLModelOptions struct {
	// Resumes the long-running operation from the provided token.
	ResumeToken string
}

ItemsClientBeginCreateMLModelOptions contains the optional parameters for the ItemsClient.BeginCreateMLModel method.

type ItemsClientCreateMLModelResponse 

type ItemsClientCreateMLModelResponse struct {
	// A machine learning model object.
	MLModel
}

ItemsClientCreateMLModelResponse contains the response from method ItemsClient.BeginCreateMLModel.

type ItemsClientDeleteMLModelOptions 

type ItemsClientDeleteMLModelOptions struct {
}

ItemsClientDeleteMLModelOptions contains the optional parameters for the ItemsClient.DeleteMLModel method.

type ItemsClientDeleteMLModelResponse 

type ItemsClientDeleteMLModelResponse struct {
}

ItemsClientDeleteMLModelResponse contains the response from method ItemsClient.DeleteMLModel.

type ItemsClientGetMLModelOptions 

type ItemsClientGetMLModelOptions struct {
}

ItemsClientGetMLModelOptions contains the optional parameters for the ItemsClient.GetMLModel method.

type ItemsClientGetMLModelResponse 

type ItemsClientGetMLModelResponse struct {
	// A machine learning model object.
	MLModel
}

ItemsClientGetMLModelResponse contains the response from method ItemsClient.GetMLModel.

type ItemsClientListMLModelsOptions 

type ItemsClientListMLModelsOptions struct {
	// A token for retrieving the next page of results.
	ContinuationToken *string
}

ItemsClientListMLModelsOptions contains the optional parameters for the ItemsClient.NewListMLModelsPager method.

type ItemsClientListMLModelsResponse 

type ItemsClientListMLModelsResponse struct {
	// A list of machine learning models.
	MLModels
}

ItemsClientListMLModelsResponse contains the response from method ItemsClient.NewListMLModelsPager.

type ItemsClientUpdateMLModelOptions 

type ItemsClientUpdateMLModelOptions struct {
}

ItemsClientUpdateMLModelOptions contains the optional parameters for the ItemsClient.UpdateMLModel method.

type ItemsClientUpdateMLModelResponse 

type ItemsClientUpdateMLModelResponse struct {
	// A machine learning model object.
	MLModel
}

ItemsClientUpdateMLModelResponse contains the response from method ItemsClient.UpdateMLModel.

type MLModel 

type MLModel struct {
	// REQUIRED; The item type.
	Type *ItemType

	// The item description.
	Description *string

	// The item display name.
	DisplayName *string

	// READ-ONLY; The item ID.
	ID *string

	// READ-ONLY; The workspace ID.
	WorkspaceID *string
}

MLModel - A machine learning model object.

func (MLModel) MarshalJSON 

func (m MLModel) MarshalJSON() ([]byte, error)

MarshalJSON implements the json.Marshaller interface for type MLModel.

func (*MLModel) UnmarshalJSON 

func (m *MLModel) UnmarshalJSON(data []byte) error

UnmarshalJSON implements the json.Unmarshaller interface for type MLModel.

type MLModels 

type MLModels struct {
	// REQUIRED; A list of machine learning models.
	Value []MLModel

	// The token for the next result set batch. If there are no more records, it's removed from the response.
	ContinuationToken *string

	// The URI of the next result set batch. If there are no more records, it's removed from the response.
	ContinuationURI *string
}

MLModels - A list of machine learning models.

func (MLModels) MarshalJSON 

func (m MLModels) MarshalJSON() ([]byte, error)

MarshalJSON implements the json.Marshaller interface for type MLModels.

func (*MLModels) UnmarshalJSON 

func (m *MLModels) UnmarshalJSON(data []byte) error

UnmarshalJSON implements the json.Unmarshaller interface for type MLModels.

type UpdateMLModelRequest 

type UpdateMLModelRequest struct {
	// The machine learning model description. Maximum length is 256 characters.
	Description *string
}

UpdateMLModelRequest - Update machine learning model request.

func (UpdateMLModelRequest) MarshalJSON 

func (u UpdateMLModelRequest) MarshalJSON() ([]byte, error)

MarshalJSON implements the json.Marshaller interface for type UpdateMLModelRequest.

func (*UpdateMLModelRequest) UnmarshalJSON 

func (u *UpdateMLModelRequest) UnmarshalJSON(data []byte) error

UnmarshalJSON implements the json.Unmarshaller interface for type UpdateMLModelRequest.

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