Lists and describes the models in an Amazon Rekognition Custom Labels project
Lists and describes the models in an Amazon Rekognition Custom Labels
project. You can specify up to 10 model versions in
ProjectVersionArns. If you don't specify a value, descriptions for all
models are returned.
This operation requires permissions to perform the
rekognition:DescribeProjectVersions action.
rekognition_describe_project_versions(ProjectArn, VersionNames, NextToken, MaxResults)
ProjectArn |
[required] The Amazon Resource Name (ARN) of the project that contains the models you want to describe. |
VersionNames |
A list of model version names that you want to describe. You can add up
to 10 model version names to the list. If you don't specify a value, all
model descriptions are returned. A version name is part of a model
(ProjectVersion) ARN. For example, |
NextToken |
If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results. |
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. |
A list with the following syntax:
list(
ProjectVersionDescriptions = list(
list(
ProjectVersionArn = "string",
CreationTimestamp = as.POSIXct(
"2015-01-01"
),
MinInferenceUnits = 123,
Status = "TRAINING_IN_PROGRESS"|"TRAINING_COMPLETED"|"TRAINING_FAILED"|"STARTING"|"RUNNING"|"FAILED"|"STOPPING"|"STOPPED"|"DELETING",
StatusMessage = "string",
BillableTrainingTimeInSeconds = 123,
TrainingEndTimestamp = as.POSIXct(
"2015-01-01"
),
OutputConfig = list(
S3Bucket = "string",
S3KeyPrefix = "string"
),
TrainingDataResult = list(
Input = list(
Assets = list(
list(
GroundTruthManifest = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
)
)
)
),
Output = list(
Assets = list(
list(
GroundTruthManifest = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
)
)
)
),
Validation = list(
Assets = list(
list(
GroundTruthManifest = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
)
)
)
)
),
TestingDataResult = list(
Input = list(
Assets = list(
list(
GroundTruthManifest = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
)
)
),
AutoCreate = TRUE|FALSE
),
Output = list(
Assets = list(
list(
GroundTruthManifest = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
)
)
),
AutoCreate = TRUE|FALSE
),
Validation = list(
Assets = list(
list(
GroundTruthManifest = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
)
)
)
)
),
EvaluationResult = list(
F1Score = 123.0,
Summary = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
)
),
ManifestSummary = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
)
)
),
NextToken = "string"
)svc$describe_project_versions(
ProjectArn = "string",
VersionNames = list(
"string"
),
NextToken = "string",
MaxResults = 123
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