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Class: Aws::Comprehend::Types::EntityRecognizerProperties
- Inherits:
-
Struct
- Object
- Struct
- Aws::Comprehend::Types::EntityRecognizerProperties
- Defined in:
- (unknown)
Overview
Describes information about an entity recognizer.
Returned by:
Instance Attribute Summary collapse
-
#data_access_role_arn ⇒ String
The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.
-
#end_time ⇒ Time
The time that the recognizer creation completed.
-
#entity_recognizer_arn ⇒ String
The Amazon Resource Name (ARN) that identifies the entity recognizer.
-
#input_data_config ⇒ Types::EntityRecognizerInputDataConfig
The input data properties of an entity recognizer.
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#language_code ⇒ String
The language of the input documents.
-
#message ⇒ String
A description of the status of the recognizer.
-
#recognizer_metadata ⇒ Types::EntityRecognizerMetadata
Provides information about an entity recognizer.
-
#status ⇒ String
Provides the status of the entity recognizer.
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#submit_time ⇒ Time
The time that the recognizer was submitted for processing.
-
#training_end_time ⇒ Time
The time that training of the entity recognizer was completed.
-
#training_start_time ⇒ Time
The time that training of the entity recognizer started.
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#volume_kms_key_id ⇒ String
ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job.
-
#vpc_config ⇒ Types::VpcConfig
Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer.
Instance Attribute Details
#data_access_role_arn ⇒ String
The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.
#end_time ⇒ Time
The time that the recognizer creation completed.
#entity_recognizer_arn ⇒ String
The Amazon Resource Name (ARN) that identifies the entity recognizer.
#input_data_config ⇒ Types::EntityRecognizerInputDataConfig
The input data properties of an entity recognizer.
#language_code ⇒ String
The language of the input documents. All documents must be in the same language. Only English (\"en\") is currently supported.
Possible values:
- en
- es
- fr
- de
- it
- pt
- ar
- hi
- ja
- ko
- zh
- zh-TW
#message ⇒ String
A description of the status of the recognizer.
#recognizer_metadata ⇒ Types::EntityRecognizerMetadata
Provides information about an entity recognizer.
#status ⇒ String
Provides the status of the entity recognizer.
Possible values:
- SUBMITTED
- TRAINING
- DELETING
- STOP_REQUESTED
- STOPPED
- IN_ERROR
- TRAINED
#submit_time ⇒ Time
The time that the recognizer was submitted for processing.
#training_end_time ⇒ Time
The time that training of the entity recognizer was completed.
#training_start_time ⇒ Time
The time that training of the entity recognizer started.
#volume_kms_key_id ⇒ String
ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
#vpc_config ⇒ Types::VpcConfig
Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.