AzureMLBatchExecutionActivity Class

Reference

Azure ML Batch Execution activity.

All required parameters must be populated in order to send to server.

Inheritance: azure.mgmt.datafactory.models._models_py3.ExecutionActivity

AzureMLBatchExecutionActivity

Constructor

AzureMLBatchExecutionActivity(*, name: str, additional_properties: Dict[str, MutableMapping[str, Any]] | None = None, description: str | None = None, state: str | _models.ActivityState | None = None, on_inactive_mark_as: str | _models.ActivityOnInactiveMarkAs | None = None, depends_on: List[_models.ActivityDependency] | None = None, user_properties: List[_models.UserProperty] | None = None, linked_service_name: _models.LinkedServiceReference | None = None, policy: _models.ActivityPolicy | None = None, global_parameters: Dict[str, MutableMapping[str, Any]] | None = None, web_service_outputs: Dict[str, _models.AzureMLWebServiceFile] | None = None, web_service_inputs: Dict[str, _models.AzureMLWebServiceFile] | None = None, **kwargs: Any)

Keyword-Only Parameters

Name	Description
additional_properties	dict[str, <xref:JSON>] Unmatched properties from the message are deserialized to this collection.
name	str Activity name. Required.
description	str Activity description.
state	str or ActivityState Activity state. This is an optional property and if not provided, the state will be Active by default. Known values are: "Active" and "Inactive".
on_inactive_mark_as	str or ActivityOnInactiveMarkAs Status result of the activity when the state is set to Inactive. This is an optional property and if not provided when the activity is inactive, the status will be Succeeded by default. Known values are: "Succeeded", "Failed", and "Skipped".
depends_on	list[ActivityDependency] Activity depends on condition.
user_properties	list[UserProperty] Activity user properties.
linked_service_name	LinkedServiceReference Linked service reference.
policy	ActivityPolicy Activity policy.
global_parameters	dict[str, <xref:JSON>] Key,Value pairs to be passed to the Azure ML Batch Execution Service endpoint. Keys must match the names of web service parameters defined in the published Azure ML web service. Values will be passed in the GlobalParameters property of the Azure ML batch execution request.
web_service_outputs	dict[str, AzureMLWebServiceFile] Key,Value pairs, mapping the names of Azure ML endpoint's Web Service Outputs to AzureMLWebServiceFile objects specifying the output Blob locations. This information will be passed in the WebServiceOutputs property of the Azure ML batch execution request.
web_service_inputs	dict[str, AzureMLWebServiceFile] Key,Value pairs, mapping the names of Azure ML endpoint's Web Service Inputs to AzureMLWebServiceFile objects specifying the input Blob locations.. This information will be passed in the WebServiceInputs property of the Azure ML batch execution request.

Variables

Name	Description
additional_properties	dict[str, <xref:JSON>] Unmatched properties from the message are deserialized to this collection.
name	str Activity name. Required.
type	str Type of activity. Required.
description	str Activity description.
state	str or ActivityState Activity state. This is an optional property and if not provided, the state will be Active by default. Known values are: "Active" and "Inactive".
on_inactive_mark_as	str or ActivityOnInactiveMarkAs Status result of the activity when the state is set to Inactive. This is an optional property and if not provided when the activity is inactive, the status will be Succeeded by default. Known values are: "Succeeded", "Failed", and "Skipped".
depends_on	list[ActivityDependency] Activity depends on condition.
user_properties	list[UserProperty] Activity user properties.
linked_service_name	LinkedServiceReference Linked service reference.
policy	ActivityPolicy Activity policy.
global_parameters	dict[str, <xref:JSON>] Key,Value pairs to be passed to the Azure ML Batch Execution Service endpoint. Keys must match the names of web service parameters defined in the published Azure ML web service. Values will be passed in the GlobalParameters property of the Azure ML batch execution request.
web_service_outputs	dict[str, AzureMLWebServiceFile] Key,Value pairs, mapping the names of Azure ML endpoint's Web Service Outputs to AzureMLWebServiceFile objects specifying the output Blob locations. This information will be passed in the WebServiceOutputs property of the Azure ML batch execution request.
web_service_inputs	dict[str, AzureMLWebServiceFile] Key,Value pairs, mapping the names of Azure ML endpoint's Web Service Inputs to AzureMLWebServiceFile objects specifying the input Blob locations.. This information will be passed in the WebServiceInputs property of the Azure ML batch execution request.

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AzureMLBatchExecutionActivity Class

Constructor

Keyword-Only Parameters

Variables

Additional resources