LookoutforVision / Client / create_dataset
create_dataset#
- LookoutforVision.Client.create_dataset(**kwargs)#
Creates a new dataset in an Amazon Lookout for Vision project.
CreateDataset
can create a training or a test dataset from a valid dataset source (DatasetSource
).If you want a single dataset project, specify
train
for the value ofDatasetType
.To have a project with separate training and test datasets, call
CreateDataset
twice. On the first call, specifytrain
for the value ofDatasetType
. On the second call, specifytest
for the value ofDatasetType
.This operation requires permissions to perform the
lookoutvision:CreateDataset
operation.See also: AWS API Documentation
Request Syntax
response = client.create_dataset( ProjectName='string', DatasetType='string', DatasetSource={ 'GroundTruthManifest': { 'S3Object': { 'Bucket': 'string', 'Key': 'string', 'VersionId': 'string' } } }, ClientToken='string' )
- Parameters:
ProjectName (string) –
[REQUIRED]
The name of the project in which you want to create a dataset.
DatasetType (string) –
[REQUIRED]
The type of the dataset. Specify
train
for a training dataset. Specifytest
for a test dataset.DatasetSource (dict) –
The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.
If you don’t specify
DatasetSource
, an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling UpdateDatasetEntries.If you specify a value for
DataSource
, the manifest at the S3 location is validated and used to create the dataset. The call toCreateDataset
is asynchronous and might take a while to complete. To find out the current status, Check the value ofStatus
returned in a call to DescribeDataset.GroundTruthManifest (dict) –
Location information for the manifest file.
S3Object (dict) –
The S3 bucket location for the manifest file.
Bucket (string) – [REQUIRED]
The Amazon S3 bucket that contains the manifest.
Key (string) – [REQUIRED]
The name and location of the manifest file withiin the bucket.
VersionId (string) –
The version ID of the bucket.
ClientToken (string) –
ClientToken is an idempotency token that ensures a call to
CreateDataset
completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response fromCreateDataset
. In this case, safely retry your call toCreateDataset
by using the sameClientToken
parameter value.If you don’t supply a value for
ClientToken
, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple dataset creation requests. You’ll need to provide your own value for other use cases.An error occurs if the other input parameters are not the same as in the first request. Using a different value for
ClientToken
is considered a new call toCreateDataset
. An idempotency token is active for 8 hours.This field is autopopulated if not provided.
- Return type:
dict
- Returns:
Response Syntax
{ 'DatasetMetadata': { 'DatasetType': 'string', 'CreationTimestamp': datetime(2015, 1, 1), 'Status': 'CREATE_IN_PROGRESS'|'CREATE_COMPLETE'|'CREATE_FAILED'|'UPDATE_IN_PROGRESS'|'UPDATE_COMPLETE'|'UPDATE_FAILED_ROLLBACK_IN_PROGRESS'|'UPDATE_FAILED_ROLLBACK_COMPLETE'|'DELETE_IN_PROGRESS'|'DELETE_COMPLETE'|'DELETE_FAILED', 'StatusMessage': 'string' } }
Response Structure
(dict) –
DatasetMetadata (dict) –
Information about the dataset.
DatasetType (string) –
The type of the dataset.
CreationTimestamp (datetime) –
The Unix timestamp for the date and time that the dataset was created.
Status (string) –
The status for the dataset.
StatusMessage (string) –
The status message for the dataset.
Exceptions
LookoutforVision.Client.exceptions.AccessDeniedException
LookoutforVision.Client.exceptions.InternalServerException
LookoutforVision.Client.exceptions.ValidationException
LookoutforVision.Client.exceptions.ConflictException
LookoutforVision.Client.exceptions.ResourceNotFoundException
LookoutforVision.Client.exceptions.ThrottlingException
LookoutforVision.Client.exceptions.ServiceQuotaExceededException