String projectName
The name of the project in which you want to create a dataset.
String datasetType
The type of the dataset. Specify train for a training dataset. Specify test for a test
dataset.
DatasetSource datasetSource
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 to CreateDataset is asynchronous and might take a while to complete. To
find out the current status, Check the value of Status returned in a call to DescribeDataset.
String clientToken
ClientToken is an idempotency token that ensures a call to CreateDataset completes only once. You
choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a
response from CreateDataset. In this case, safely retry your call to CreateDataset by
using the same ClientToken parameter value. 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
to CreateDataset. An idempotency token is active for 8 hours.
DatasetMetadata datasetMetadata
Information about the dataset.
String projectName
The name of the project in which you want to create a model version.
String description
A description for the version of the model.
String clientToken
ClientToken is an idempotency token that ensures a call to CreateModel completes only once. You
choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a
response from CreateModel. In this case, safely retry your call to CreateModel by using
the same ClientToken parameter value. 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 to
CreateModel. An idempotency token is active for 8 hours.
OutputConfig outputConfig
The location where Amazon Lookout for Vision saves the training results.
String kmsKeyId
The identifier of the AWS Key Management Service (AWS KMS) customer master key (CMK) to use for encypting the model. If this parameter is not specified, the model is encrypted by a key that AWS owns and manages.
List<E> tags
A set of tags (key-value pairs) that you want to attach to the model.
ModelMetadata modelMetadata
The response from a call to CreateModel.
String projectName
The name for the project.
String clientToken
ClientToken is an idempotency token that ensures a call to CreateProject completes only once. You
choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a
response from CreateProject. In this case, safely retry your call to CreateProject by
using the same ClientToken parameter value. 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
to CreateProject. An idempotency token is active for 8 hours.
ProjectMetadata projectMetadata
Information about the project.
String projectName
The name of the project that contains the dataset.
String datasetType
The type of the dataset. The value train represents a training dataset or single dataset project.
The value test represents a test dataset.
Date creationTimestamp
The Unix timestamp for the time and date that the dataset was created.
Date lastUpdatedTimestamp
The Unix timestamp for the date and time that the dataset was last updated.
String status
The status of the dataset.
String statusMessage
The status message for the dataset.
DatasetImageStats imageStats
InputS3Object s3Object
The S3 bucket location for the manifest file.
DatasetGroundTruthManifest groundTruthManifest
Location information for the manifest file.
String projectName
The name of the project that contains the dataset that you want to delete.
String datasetType
The type of the dataset to delete. Specify train to delete the training dataset. Specify
test to delete the test dataset. To delete the dataset in a single dataset project, specify
train.
String clientToken
ClientToken is an idempotency token that ensures a call to DeleteDataset completes only once. You
choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a
response from DeleteDataset. In this case, safely retry your call to DeleteDataset by
using the same ClientToken parameter value. 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
to DeleteDataset. An idempotency token is active for 8 hours.
String projectName
The name of the project that contains the model that you want to delete.
String modelVersion
The version of the model that you want to delete.
String clientToken
ClientToken is an idempotency token that ensures a call to DeleteModel completes only once. You
choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a
response from DeleteModel. In this case, safely retry your call to DeleteModel by using
the same ClientToken parameter value. 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 to
DeleteModel. An idempotency token is active for 8 hours.
String modelArn
The Amazon Resource Name (ARN) of the model that was deleted.
String projectName
The name of the project to delete.
String clientToken
ClientToken is an idempotency token that ensures a call to DeleteProject completes only once. You
choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a
response from DeleteProject. In this case, safely retry your call to DeleteProject by
using the same ClientToken parameter value. 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
to DeleteProject. An idempotency token is active for 8 hours.
String projectArn
The Amazon Resource Name (ARN) of the project that was deleted.
String projectName
The name of the project that contains the dataset that you want to describe.
String datasetType
The type of the dataset to describe. Specify train to describe the training dataset. Specify
test to describe the test dataset. If you have a single dataset project, specify train
DatasetDescription datasetDescription
The description of the requested dataset.
ModelDescription modelDescription
Contains the description of the model.
String projectName
The name of the project that you want to describe.
ProjectDescription projectDescription
The description of the project.
String projectName
The name of the project that contains the model version that you want to use.
String modelVersion
The version of the model that you want to use.
InputStream body
The unencrypted image bytes that you want to analyze.
String contentType
The type of the image passed in Body. Valid values are image/png (PNG format images)
and image/jpeg (JPG format images).
DetectAnomalyResult detectAnomalyResult
The results of the DetectAnomalies operation.
ImageSource source
The source of the image that was analyzed. direct means that the images was supplied from the local
computer. No other values are supported.
Boolean isAnomalous
True if the image contains an anomaly, otherwise false.
Float confidence
The confidence that Amazon Lookout for Vision has in the accuracy of the prediction.
String type
The type of the image.
Integer retryAfterSeconds
The period of time, in seconds, before the operation can be retried.
String projectName
The name of the project that contains the dataset that you want to list.
String datasetType
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.
Boolean labeled
Specify true to include labeled entries, otherwise specify false. If you don't specify
a value, Lookout for Vision returns all entries.
String anomalyClass
Specify 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.
Date beforeCreationDate
Only includes entries before the specified date in the response. For example, 2020-06-23T00:00:00.
Date afterCreationDate
Only includes entries after the specified date in the response. For example, 2020-06-23T00:00:00.
String nextToken
If the previous response was incomplete (because there is more data to retrieve), Amazon Lookout for Vision returns a pagination token in the response. You can use this pagination token to retrieve the next set of dataset entries.
Integer maxResults
The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.
String sourceRefContains
Perform a "contains" search on the values of the 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*.
String projectName
The name of the project that contains the model versions that you want to list.
String nextToken
If the previous response was incomplete (because there is more data to retrieve), Amazon Lookout for Vision returns a pagination token in the response. You can use this pagination token to retrieve the next set of models.
Integer maxResults
The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.
String nextToken
If the previous response was incomplete (because there is more data to retrieve), Amazon Lookout for Vision returns a pagination token in the response. You can use this pagination token to retrieve the next set of projects.
Integer maxResults
The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.
String resourceArn
The Amazon Resource Name (ARN) of the model for which you want to list tags.
String modelVersion
The version of the model
String modelArn
The Amazon Resource Name (ARN) of the model.
Date creationTimestamp
The unix timestamp for the date and time that the model was created.
String description
The description for the model.
String status
The status of the model.
String statusMessage
The status message for the model.
ModelPerformance performance
Performance metrics for the model. Created during training.
OutputConfig outputConfig
The S3 location where Amazon Lookout for Vision saves model training files.
OutputS3Object evaluationManifest
The S3 location where Amazon Lookout for Vision saves the manifest file that was used to test the trained model and generate the performance scores.
OutputS3Object evaluationResult
The S3 location where Amazon Lookout for Vision saves the performance metrics.
Date evaluationEndTimestamp
The unix timestamp for the date and time that the evaluation ended.
String kmsKeyId
The identifer for the AWS Key Management Service (AWS KMS) key that was used to encrypt the model during training.
Date creationTimestamp
The unix timestamp for the date and time that the model was created.
String modelVersion
The version of the model.
String modelArn
The Amazon Resource Name (ARN) of the model.
String description
The description for the model.
String status
The status of the model.
String statusMessage
The status message for the model.
ModelPerformance performance
Performance metrics for the model. Not available until training has successfully completed.
S3Location s3Location
The S3 location for the output.
String projectArn
The Amazon Resource Name (ARN) of the project.
String projectName
The name of the project.
Date creationTimestamp
The unix timestamp for the date and time that the project was created.
List<E> datasets
A list of datasets in the project.
String projectName
The name of the project that contains the model that you want to start.
String modelVersion
The version of the model that you want to start.
Integer minInferenceUnits
The minimum number of inference units to use. A single inference unit represents 1 hour of processing and can support up to 5 Transaction Pers Second (TPS). Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.
String clientToken
ClientToken is an idempotency token that ensures a call to StartModel completes only once. You
choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a
response from StartModel. In this case, safely retry your call to StartModel by using
the same ClientToken parameter value. 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 to
StartModel. An idempotency token is active for 8 hours.
String status
The current running status of the model.
String projectName
The name of the project that contains the model that you want to stop.
String modelVersion
The version of the model that you want to stop.
String clientToken
ClientToken is an idempotency token that ensures a call to StopModel completes only once. You choose
the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response
from StopModel. In this case, safely retry your call to StopModel by using the same
ClientToken parameter value. 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 to
StopModel. An idempotency token is active for 8 hours.
String status
The status of the model.
String projectName
The name of the project that contains the dataset that you want to update.
String datasetType
The type of the dataset that you want to update. Specify train to update the training dataset.
Specify test to update the test dataset. If you have a single dataset project, specify
train.
ByteBuffer changes
The entries to add to the dataset.
String clientToken
ClientToken is an idempotency token that ensures a call to UpdateDatasetEntries completes only once.
You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a
response from UpdateDatasetEntries. In this case, safely retry your call to
UpdateDatasetEntries by using the same ClientToken parameter value. 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 to UpdateDatasetEntries. An idempotency token is
active for 8 hours.
String status
The status of the dataset update.
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