SageMaker.Paginator.
ListTrainingJobs
¶paginator = client.get_paginator('list_training_jobs')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from SageMaker.Client.list_training_jobs()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
CreationTimeAfter=datetime(2015, 1, 1),
CreationTimeBefore=datetime(2015, 1, 1),
LastModifiedTimeAfter=datetime(2015, 1, 1),
LastModifiedTimeBefore=datetime(2015, 1, 1),
NameContains='string',
StatusEquals='InProgress'|'Completed'|'Failed'|'Stopping'|'Stopped',
SortBy='Name'|'CreationTime'|'Status',
SortOrder='Ascending'|'Descending',
WarmPoolStatusEquals='Available'|'Terminated'|'Reused'|'InUse',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
CreationTime
.Ascending
.A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken
will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
dict
Response Syntax
{
'TrainingJobSummaries': [
{
'TrainingJobName': 'string',
'TrainingJobArn': 'string',
'CreationTime': datetime(2015, 1, 1),
'TrainingEndTime': datetime(2015, 1, 1),
'LastModifiedTime': datetime(2015, 1, 1),
'TrainingJobStatus': 'InProgress'|'Completed'|'Failed'|'Stopping'|'Stopped',
'WarmPoolStatus': {
'Status': 'Available'|'Terminated'|'Reused'|'InUse',
'ResourceRetainedBillableTimeInSeconds': 123,
'ReusedByJob': 'string'
}
},
],
}
Response Structure
(dict) --
TrainingJobSummaries (list) --
An array of TrainingJobSummary
objects, each listing a training job.
(dict) --
Provides summary information about a training job.
TrainingJobName (string) --
The name of the training job that you want a summary for.
TrainingJobArn (string) --
The Amazon Resource Name (ARN) of the training job.
CreationTime (datetime) --
A timestamp that shows when the training job was created.
TrainingEndTime (datetime) --
A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses ( Completed
, Failed
, or Stopped
).
LastModifiedTime (datetime) --
Timestamp when the training job was last modified.
TrainingJobStatus (string) --
The status of the training job.
WarmPoolStatus (dict) --
The status of the warm pool associated with the training job.
Status (string) --
The status of the warm pool.
InUse
: The warm pool is in use for the training job.Available
: The warm pool is available to reuse for a matching training job.Reused
: The warm pool moved to a matching training job for reuse.Terminated
: The warm pool is no longer available. Warm pools are unavailable if they are terminated by a user, terminated for a patch update, or terminated for exceeding the specified KeepAlivePeriodInSeconds
.ResourceRetainedBillableTimeInSeconds (integer) --
The billable time in seconds used by the warm pool. Billable time refers to the absolute wall-clock time.
Multiply ResourceRetainedBillableTimeInSeconds
by the number of instances ( InstanceCount
) in your training cluster to get the total compute time SageMaker bills you if you run warm pool training. The formula is as follows: ResourceRetainedBillableTimeInSeconds * InstanceCount
.
ReusedByJob (string) --
The name of the matching training job that reused the warm pool.