Provides details about an entity recognizer including status, S3 buckets containing training data, recognizer metadata, metrics, and so on
Provides details about an entity recognizer including status, S3 buckets containing training data, recognizer metadata, metrics, and so on.
comprehend_describe_entity_recognizer(EntityRecognizerArn)
EntityRecognizerArn |
[required] The Amazon Resource Name (ARN) that identifies the entity recognizer. |
A list with the following syntax:
list(
EntityRecognizerProperties = list(
EntityRecognizerArn = "string",
LanguageCode = "en"|"es"|"fr"|"de"|"it"|"pt"|"ar"|"hi"|"ja"|"ko"|"zh"|"zh-TW",
Status = "SUBMITTED"|"TRAINING"|"DELETING"|"STOP_REQUESTED"|"STOPPED"|"IN_ERROR"|"TRAINED",
Message = "string",
SubmitTime = as.POSIXct(
"2015-01-01"
),
EndTime = as.POSIXct(
"2015-01-01"
),
TrainingStartTime = as.POSIXct(
"2015-01-01"
),
TrainingEndTime = as.POSIXct(
"2015-01-01"
),
InputDataConfig = list(
DataFormat = "COMPREHEND_CSV"|"AUGMENTED_MANIFEST",
EntityTypes = list(
list(
Type = "string"
)
),
Documents = list(
S3Uri = "string"
),
Annotations = list(
S3Uri = "string"
),
EntityList = list(
S3Uri = "string"
),
AugmentedManifests = list(
list(
S3Uri = "string",
AttributeNames = list(
"string"
)
)
)
),
RecognizerMetadata = list(
NumberOfTrainedDocuments = 123,
NumberOfTestDocuments = 123,
EvaluationMetrics = list(
Precision = 123.0,
Recall = 123.0,
F1Score = 123.0
),
EntityTypes = list(
list(
Type = "string",
EvaluationMetrics = list(
Precision = 123.0,
Recall = 123.0,
F1Score = 123.0
),
NumberOfTrainMentions = 123
)
)
),
DataAccessRoleArn = "string",
VolumeKmsKeyId = "string",
VpcConfig = list(
SecurityGroupIds = list(
"string"
),
Subnets = list(
"string"
)
)
)
)svc$describe_entity_recognizer( EntityRecognizerArn = "string" )
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