PipelineJobSettings Class

Settings of PipelineJob.

Inheritance

azure.ai.ml.entities._job.pipeline._attr_dict._AttrDict

PipelineJobSettings

Constructor

PipelineJobSettings(default_datastore: str | None = None, default_compute: str | None = None, continue_on_step_failure: bool | None = None, force_rerun: bool | None = None, **kwargs: Any)

Parameters

Name	Description
default_datastore	str The default datastore of the pipeline. default value: None
default_compute	str The default compute target of the pipeline. default value: None
continue_on_step_failure	bool Flag indicating whether to continue pipeline execution if a step fails. default value: None
force_rerun	bool Flag indicating whether to force rerun pipeline execution. default value: None

Examples

Shows how to set pipeline properties using this class.

   from azure.ai.ml.entities import PipelineJob, PipelineJobSettings

   pipeline_job = PipelineJob(
       description="test pipeline job",
       tags={},
       display_name="test display name",
       experiment_name="pipeline_job_samples",
       properties={},
       settings=PipelineJobSettings(force_rerun=True, default_compute="cpu-cluster"),
       jobs={"component1": component_func(component_in_number=1.0, component_in_path=uri_file_input)},
   )

   ml_client.jobs.create_or_update(pipeline_job)

Methods

clear
copy
fromkeys	Create a new dictionary with keys from iterable and values set to value.
get	Return the value for key if key is in the dictionary, else default.
items
keys
pop	If the key is not found, return the default if given; otherwise, raise a KeyError.
popitem	Remove and return a (key, value) pair as a 2-tuple. Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.
setdefault	Insert key with a value of default if key is not in the dictionary. Return the value for key if key is in the dictionary, else default.
update	If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
values

clear

clear() -> None.  Remove all items from D.

copy

copy() -> a shallow copy of D

fromkeys

Create a new dictionary with keys from iterable and values set to value.

fromkeys(value=None, /)

Positional-Only Parameters

Name	Description
iterable Required
value	default value: None

Parameters

Name	Description
type Required

get

Return the value for key if key is in the dictionary, else default.

get(key, default=None, /)

Positional-Only Parameters

Name	Description
key Required
default	default value: None

items

items() -> a set-like object providing a view on D's items

keys

keys() -> a set-like object providing a view on D's keys

pop

If the key is not found, return the default if given; otherwise, raise a KeyError.

pop(k, [d]) -> v, remove specified key and return the corresponding value.

popitem

Remove and return a (key, value) pair as a 2-tuple.

Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.

popitem()

setdefault

Insert key with a value of default if key is not in the dictionary.

Return the value for key if key is in the dictionary, else default.

setdefault(key, default=None, /)

Positional-Only Parameters

Name	Description
key Required
default	default value: None

update

If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

update([E], **F) -> None.  Update D from dict/iterable E and F.

values

values() -> an object providing a view on D's values