LookoutforVision.Paginator.
ListDatasetEntries
¶paginator = client.get_paginator('list_dataset_entries')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from LookoutforVision.Client.list_dataset_entries()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
ProjectName='string',
DatasetType='string',
Labeled=True|False,
AnomalyClass='string',
BeforeCreationDate=datetime(2015, 1, 1),
AfterCreationDate=datetime(2015, 1, 1),
SourceRefContains='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
The name of the project that contains the dataset that you want to list.
[REQUIRED]
The type of the dataset that you want to list. Specify train
to list the training dataset. Specify test
to list the test dataset. If you have a single dataset project, specify train
.
true
to include labeled entries, otherwise specify false
. If you don't specify a value, Lookout for Vision returns all entries.normal
to include only normal images. Specify anomaly
to only include anomalous entries. If you don't specify a value, Amazon Lookout for Vision returns normal and anomalous images.2020-06-23T00:00:00
.2020-06-23T00:00:00
.source-ref
key within the dataset. For example a value of "IMG_17" returns all JSON Lines where the source-ref
key value matches IMG_17 .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
{
'DatasetEntries': [
'string',
],
}
Response Structure
(dict) --
DatasetEntries (list) --
A list of the entries (JSON Lines) within the dataset.