ArmMachineLearningModelFactory.MachineLearningPipelineJob Method
Definition
Important
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Overloads
MachineLearningPipelineJob(String, IDictionary<String,String>, IDictionary<String,String>, String, Nullable<MachineLearningJobStatus>, String, IDictionary<String,MachineLearningJobService>, ResourceIdentifier, Nullable<Boolean>, MachineLearningIdentityConfiguration, ResourceIdentifier, NotificationSetting, BinaryData, IDictionary<String,BinaryData>, IDictionary<String,MachineLearningJobInput>, IDictionary<String, MachineLearningJobOutput>, ResourceIdentifier)
Initializes a new instance of MachineLearningPipelineJob.
public static Azure.ResourceManager.MachineLearning.Models.MachineLearningPipelineJob MachineLearningPipelineJob (string description = default, System.Collections.Generic.IDictionary<string,string> tags = default, System.Collections.Generic.IDictionary<string,string> properties = default, string displayName = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobStatus? status = default, string experimentName = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.MachineLearningJobService> services = default, Azure.Core.ResourceIdentifier computeId = default, bool? isArchived = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningIdentityConfiguration identity = default, Azure.Core.ResourceIdentifier componentId = default, Azure.ResourceManager.MachineLearning.Models.NotificationSetting notificationSetting = default, BinaryData settings = default, System.Collections.Generic.IDictionary<string,BinaryData> jobs = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.MachineLearningJobInput> inputs = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.MachineLearningJobOutput> outputs = default, Azure.Core.ResourceIdentifier sourceJobId = default);
static member MachineLearningPipelineJob : string * System.Collections.Generic.IDictionary<string, string> * System.Collections.Generic.IDictionary<string, string> * string * Nullable<Azure.ResourceManager.MachineLearning.Models.MachineLearningJobStatus> * string * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobService> * Azure.Core.ResourceIdentifier * Nullable<bool> * Azure.ResourceManager.MachineLearning.Models.MachineLearningIdentityConfiguration * Azure.Core.ResourceIdentifier * Azure.ResourceManager.MachineLearning.Models.NotificationSetting * BinaryData * System.Collections.Generic.IDictionary<string, BinaryData> * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobInput> * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobOutput> * Azure.Core.ResourceIdentifier -> Azure.ResourceManager.MachineLearning.Models.MachineLearningPipelineJob
Public Shared Function MachineLearningPipelineJob (Optional description As String = Nothing, Optional tags As IDictionary(Of String, String) = Nothing, Optional properties As IDictionary(Of String, String) = Nothing, Optional displayName As String = Nothing, Optional status As Nullable(Of MachineLearningJobStatus) = Nothing, Optional experimentName As String = Nothing, Optional services As IDictionary(Of String, MachineLearningJobService) = Nothing, Optional computeId As ResourceIdentifier = Nothing, Optional isArchived As Nullable(Of Boolean) = Nothing, Optional identity As MachineLearningIdentityConfiguration = Nothing, Optional componentId As ResourceIdentifier = Nothing, Optional notificationSetting As NotificationSetting = Nothing, Optional settings As BinaryData = Nothing, Optional jobs As IDictionary(Of String, BinaryData) = Nothing, Optional inputs As IDictionary(Of String, MachineLearningJobInput) = Nothing, Optional outputs As IDictionary(Of String, MachineLearningJobOutput) = Nothing, Optional sourceJobId As ResourceIdentifier = Nothing) As MachineLearningPipelineJob
Parameters
- description
- String
The asset description text.
- tags
- IDictionary<String,String>
Tag dictionary. Tags can be added, removed, and updated.
- properties
- IDictionary<String,String>
The asset property dictionary.
- displayName
- String
Display name of job.
- status
- Nullable<MachineLearningJobStatus>
Status of the job.
- experimentName
- String
The name of the experiment the job belongs to. If not set, the job is placed in the "Default" experiment.
- services
- IDictionary<String,MachineLearningJobService>
List of JobEndpoints. For local jobs, a job endpoint will have an endpoint value of FileStreamObject.
- computeId
- ResourceIdentifier
ARM resource ID of the compute resource.
- identity
- MachineLearningIdentityConfiguration
Identity configuration. If set, this should be one of AmlToken, ManagedIdentity, UserIdentity or null. Defaults to AmlToken if null. Please note MachineLearningIdentityConfiguration is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AmlToken, MachineLearningManagedIdentity and MachineLearningUserIdentity.
- componentId
- ResourceIdentifier
ARM resource ID of the component resource.
- notificationSetting
- NotificationSetting
Notification setting for the job.
- settings
- BinaryData
Pipeline settings, for things like ContinueRunOnStepFailure etc.
- jobs
- IDictionary<String,BinaryData>
Jobs construct the Pipeline Job.
- inputs
- IDictionary<String,MachineLearningJobInput>
Inputs for the pipeline job. Please note MachineLearningJobInput is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningCustomModelJobInput, MachineLearningLiteralJobInput, MachineLearningFlowModelJobInput, MachineLearningTableJobInput, MachineLearningTritonModelJobInput, MachineLearningUriFileJobInput and MachineLearningUriFolderJobInput.
- outputs
- IDictionary<String,MachineLearningJobOutput>
Outputs for the pipeline job Please note MachineLearningJobOutput is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningCustomModelJobOutput, MachineLearningFlowModelJobOutput, MachineLearningTableJobOutput, MachineLearningTritonModelJobOutput, MachineLearningUriFileJobOutput and MachineLearningUriFolderJobOutput.
- sourceJobId
- ResourceIdentifier
ARM resource ID of source job.
Returns
A new MachineLearningPipelineJob instance for mocking.
Applies to
MachineLearningPipelineJob(String, IDictionary<String,String>, IDictionary<String,String>, ResourceIdentifier, ResourceIdentifier, String, String, MachineLearningIdentityConfiguration, Nullable<Boolean>, NotificationSetting, IDictionary<String,SecretConfiguration>, IDictionary<String,MachineLearningJobService>, Nullable<MachineLearningJobStatus>, IDictionary<String,MachineLearningJobInput>, IDictionary<String, BinaryData>, IDictionary<String,MachineLearningJobOutput>, BinaryData, ResourceIdentifier)
Initializes a new instance of MachineLearningPipelineJob.
public static Azure.ResourceManager.MachineLearning.Models.MachineLearningPipelineJob MachineLearningPipelineJob (string description = default, System.Collections.Generic.IDictionary<string,string> properties = default, System.Collections.Generic.IDictionary<string,string> tags = default, Azure.Core.ResourceIdentifier componentId = default, Azure.Core.ResourceIdentifier computeId = default, string displayName = default, string experimentName = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningIdentityConfiguration identity = default, bool? isArchived = default, Azure.ResourceManager.MachineLearning.Models.NotificationSetting notificationSetting = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.SecretConfiguration> secretsConfiguration = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.MachineLearningJobService> services = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobStatus? status = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.MachineLearningJobInput> inputs = default, System.Collections.Generic.IDictionary<string,BinaryData> jobs = default, System.Collections.Generic.IDictionary<string,Azure.ResourceManager.MachineLearning.Models.MachineLearningJobOutput> outputs = default, BinaryData settings = default, Azure.Core.ResourceIdentifier sourceJobId = default);
static member MachineLearningPipelineJob : string * System.Collections.Generic.IDictionary<string, string> * System.Collections.Generic.IDictionary<string, string> * Azure.Core.ResourceIdentifier * Azure.Core.ResourceIdentifier * string * string * Azure.ResourceManager.MachineLearning.Models.MachineLearningIdentityConfiguration * Nullable<bool> * Azure.ResourceManager.MachineLearning.Models.NotificationSetting * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.SecretConfiguration> * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobService> * Nullable<Azure.ResourceManager.MachineLearning.Models.MachineLearningJobStatus> * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobInput> * System.Collections.Generic.IDictionary<string, BinaryData> * System.Collections.Generic.IDictionary<string, Azure.ResourceManager.MachineLearning.Models.MachineLearningJobOutput> * BinaryData * Azure.Core.ResourceIdentifier -> Azure.ResourceManager.MachineLearning.Models.MachineLearningPipelineJob
Public Shared Function MachineLearningPipelineJob (Optional description As String = Nothing, Optional properties As IDictionary(Of String, String) = Nothing, Optional tags As IDictionary(Of String, String) = Nothing, Optional componentId As ResourceIdentifier = Nothing, Optional computeId As ResourceIdentifier = Nothing, Optional displayName As String = Nothing, Optional experimentName As String = Nothing, Optional identity As MachineLearningIdentityConfiguration = Nothing, Optional isArchived As Nullable(Of Boolean) = Nothing, Optional notificationSetting As NotificationSetting = Nothing, Optional secretsConfiguration As IDictionary(Of String, SecretConfiguration) = Nothing, Optional services As IDictionary(Of String, MachineLearningJobService) = Nothing, Optional status As Nullable(Of MachineLearningJobStatus) = Nothing, Optional inputs As IDictionary(Of String, MachineLearningJobInput) = Nothing, Optional jobs As IDictionary(Of String, BinaryData) = Nothing, Optional outputs As IDictionary(Of String, MachineLearningJobOutput) = Nothing, Optional settings As BinaryData = Nothing, Optional sourceJobId As ResourceIdentifier = Nothing) As MachineLearningPipelineJob
Parameters
- description
- String
The asset description text.
- properties
- IDictionary<String,String>
The asset property dictionary.
- tags
- IDictionary<String,String>
Tag dictionary. Tags can be added, removed, and updated.
- componentId
- ResourceIdentifier
ARM resource ID of the component resource.
- computeId
- ResourceIdentifier
ARM resource ID of the compute resource.
- displayName
- String
Display name of job.
- experimentName
- String
The name of the experiment the job belongs to. If not set, the job is placed in the "Default" experiment.
- identity
- MachineLearningIdentityConfiguration
Identity configuration. If set, this should be one of AmlToken, ManagedIdentity, UserIdentity or null. Defaults to AmlToken if null. Please note MachineLearningIdentityConfiguration is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AmlToken, MachineLearningManagedIdentity and MachineLearningUserIdentity.
- notificationSetting
- NotificationSetting
Notification setting for the job.
- secretsConfiguration
- IDictionary<String,SecretConfiguration>
Configuration for secrets to be made available during runtime.
- services
- IDictionary<String,MachineLearningJobService>
List of JobEndpoints. For local jobs, a job endpoint will have an endpoint value of FileStreamObject.
- status
- Nullable<MachineLearningJobStatus>
Status of the job.
- inputs
- IDictionary<String,MachineLearningJobInput>
Inputs for the pipeline job. Please note MachineLearningJobInput is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningCustomModelJobInput, MachineLearningLiteralJobInput, MachineLearningFlowModelJobInput, MachineLearningTableJobInput, MachineLearningTritonModelJobInput, MachineLearningUriFileJobInput and MachineLearningUriFolderJobInput.
- jobs
- IDictionary<String,BinaryData>
Jobs construct the Pipeline Job.
- outputs
- IDictionary<String,MachineLearningJobOutput>
Outputs for the pipeline job Please note MachineLearningJobOutput is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningCustomModelJobOutput, MachineLearningFlowModelJobOutput, MachineLearningTableJobOutput, MachineLearningTritonModelJobOutput, MachineLearningUriFileJobOutput and MachineLearningUriFolderJobOutput.
- settings
- BinaryData
Pipeline settings, for things like ContinueRunOnStepFailure etc.
- sourceJobId
- ResourceIdentifier
ARM resource ID of source job.
Returns
A new MachineLearningPipelineJob instance for mocking.