PipelineMLJobStepRun¶

class oci.data_science.models.PipelineMLJobStepRun(**kwargs)¶

Bases: oci.data_science.models.pipeline_step_run.PipelineStepRun

Detail of each MLJobStepRun.

Attributes

`LIFECYCLE_STATE_ACCEPTED`	str(object=’’) -> str
`LIFECYCLE_STATE_CANCELED`	str(object=’’) -> str
`LIFECYCLE_STATE_CANCELING`	str(object=’’) -> str
`LIFECYCLE_STATE_DELETED`	str(object=’’) -> str
`LIFECYCLE_STATE_FAILED`	str(object=’’) -> str
`LIFECYCLE_STATE_IN_PROGRESS`	str(object=’’) -> str
`LIFECYCLE_STATE_SKIPPED`	str(object=’’) -> str
`LIFECYCLE_STATE_SUCCEEDED`	str(object=’’) -> str
`LIFECYCLE_STATE_WAITING`	str(object=’’) -> str
`STEP_TYPE_CONTAINER`	str(object=’’) -> str
`STEP_TYPE_CUSTOM_SCRIPT`	str(object=’’) -> str
`STEP_TYPE_ML_JOB`	str(object=’’) -> str
`job_run_id`	Gets the job_run_id of this PipelineMLJobStepRun.
`lifecycle_details`	Gets the lifecycle_details of this PipelineStepRun.
`lifecycle_state`	Gets the lifecycle_state of this PipelineStepRun.
`step_name`	[Required] Gets the step_name of this PipelineStepRun.
`step_type`	[Required] Gets the step_type of this PipelineStepRun.
`time_finished`	Gets the time_finished of this PipelineStepRun.
`time_started`	[Required] Gets the time_started of this PipelineStepRun.

Methods

`__init__`(**kwargs)	Initializes a new PipelineMLJobStepRun object with values from keyword arguments.
`get_subtype`(object_dictionary)	Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.

LIFECYCLE_STATE_ACCEPTED = 'ACCEPTED'¶

LIFECYCLE_STATE_CANCELED = 'CANCELED'¶

LIFECYCLE_STATE_CANCELING = 'CANCELING'¶

LIFECYCLE_STATE_DELETED = 'DELETED'¶

LIFECYCLE_STATE_FAILED = 'FAILED'¶

LIFECYCLE_STATE_IN_PROGRESS = 'IN_PROGRESS'¶

LIFECYCLE_STATE_SKIPPED = 'SKIPPED'¶

LIFECYCLE_STATE_SUCCEEDED = 'SUCCEEDED'¶

LIFECYCLE_STATE_WAITING = 'WAITING'¶

STEP_TYPE_CONTAINER = 'CONTAINER'¶

STEP_TYPE_CUSTOM_SCRIPT = 'CUSTOM_SCRIPT'¶

STEP_TYPE_ML_JOB = 'ML_JOB'¶

__init__(**kwargs)¶

Initializes a new PipelineMLJobStepRun object with values from keyword arguments. The default value of the step_type attribute of this class is ML_JOB and it should not be changed. The following keyword arguments are supported (corresponding to the getters/setters of this class):

Parameters:

step_type (str) – The value to assign to the step_type property of this PipelineMLJobStepRun. Allowed values for this property are: “ML_JOB”, “CUSTOM_SCRIPT”, “CONTAINER”
time_started (datetime) – The value to assign to the time_started property of this PipelineMLJobStepRun.
time_finished (datetime) – The value to assign to the time_finished property of this PipelineMLJobStepRun.
step_name (str) – The value to assign to the step_name property of this PipelineMLJobStepRun.
lifecycle_state (str) – The value to assign to the lifecycle_state property of this PipelineMLJobStepRun. Allowed values for this property are: “WAITING”, “ACCEPTED”, “IN_PROGRESS”, “FAILED”, “SUCCEEDED”, “CANCELING”, “CANCELED”, “DELETED”, “SKIPPED”
lifecycle_details (str) – The value to assign to the lifecycle_details property of this PipelineMLJobStepRun.
job_run_id (str) – The value to assign to the job_run_id property of this PipelineMLJobStepRun.

static get_subtype(object_dictionary)¶: Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.

job_run_id¶

Gets the job_run_id of this PipelineMLJobStepRun. The OCID of the job run triggered for this step run.

Returns:	The job_run_id of this PipelineMLJobStepRun.
Return type:	str

lifecycle_details¶

Gets the lifecycle_details of this PipelineStepRun. Details of the state of the step run.

Returns:	The lifecycle_details of this PipelineStepRun.
Return type:	str

lifecycle_state¶

Gets the lifecycle_state of this PipelineStepRun. The state of the step run.

Allowed values for this property are: “WAITING”, “ACCEPTED”, “IN_PROGRESS”, “FAILED”, “SUCCEEDED”, “CANCELING”, “CANCELED”, “DELETED”, “SKIPPED”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.

Returns:	The lifecycle_state of this PipelineStepRun.
Return type:	str

step_name¶

[Required] Gets the step_name of this PipelineStepRun. The name of the step.

Returns:	The step_name of this PipelineStepRun.
Return type:	str

step_type¶

[Required] Gets the step_type of this PipelineStepRun. The type of step.

Allowed values for this property are: “ML_JOB”, “CUSTOM_SCRIPT”, “CONTAINER”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.

Returns:	The step_type of this PipelineStepRun.
Return type:	str

time_finished¶

Gets the time_finished of this PipelineStepRun. The date and time the pipeline step run finshed executing in the timestamp format defined by RFC3339.

Returns:	The time_finished of this PipelineStepRun.
Return type:	datetime

time_started¶

[Required] Gets the time_started of this PipelineStepRun. The date and time the pipeline step run was started in the timestamp format defined by RFC3339.

Returns:	The time_started of this PipelineStepRun.
Return type:	datetime