#[non_exhaustive]
pub struct EntityRecognizerProperties {
Show 16 fields pub entity_recognizer_arn: Option<String>, pub language_code: Option<LanguageCode>, pub status: Option<ModelStatus>, pub message: Option<String>, pub submit_time: Option<DateTime>, pub end_time: Option<DateTime>, pub training_start_time: Option<DateTime>, pub training_end_time: Option<DateTime>, pub input_data_config: Option<EntityRecognizerInputDataConfig>, pub recognizer_metadata: Option<EntityRecognizerMetadata>, pub data_access_role_arn: Option<String>, pub volume_kms_key_id: Option<String>, pub vpc_config: Option<VpcConfig>, pub model_kms_key_id: Option<String>, pub version_name: Option<String>, pub source_model_arn: Option<String>,
}
Expand description

Describes information about an entity recognizer.

Fields (Non-exhaustive)

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
entity_recognizer_arn: Option<String>

The Amazon Resource Name (ARN) that identifies the entity recognizer.

language_code: Option<LanguageCode>

The language of the input documents. All documents must be in the same language. Only English ("en") is currently supported.

status: Option<ModelStatus>

Provides the status of the entity recognizer.

message: Option<String>

A description of the status of the recognizer.

submit_time: Option<DateTime>

The time that the recognizer was submitted for processing.

end_time: Option<DateTime>

The time that the recognizer creation completed.

training_start_time: Option<DateTime>

The time that training of the entity recognizer started.

training_end_time: Option<DateTime>

The time that training of the entity recognizer was completed.

input_data_config: Option<EntityRecognizerInputDataConfig>

The input data properties of an entity recognizer.

recognizer_metadata: Option<EntityRecognizerMetadata>

Provides information about an entity recognizer.

data_access_role_arn: Option<String>

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.

volume_kms_key_id: Option<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: Option<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.

model_kms_key_id: Option<String>

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId 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"

version_name: Option<String>

The version name you assigned to the entity recognizer.

source_model_arn: Option<String>

The Amazon Resource Name (ARN) of the source model. This model was imported from a different AWS account to create the entity recognizer model in your AWS account.

Implementations

The Amazon Resource Name (ARN) that identifies the entity recognizer.

The language of the input documents. All documents must be in the same language. Only English ("en") is currently supported.

Provides the status of the entity recognizer.

A description of the status of the recognizer.

The time that the recognizer was submitted for processing.

The time that the recognizer creation completed.

The time that training of the entity recognizer started.

The time that training of the entity recognizer was completed.

The input data properties of an entity recognizer.

Provides information about an entity recognizer.

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.

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"

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.

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId 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"

The version name you assigned to the entity recognizer.

The Amazon Resource Name (ARN) of the source model. This model was imported from a different AWS account to create the entity recognizer model in your AWS account.

Creates a new builder-style object to manufacture EntityRecognizerProperties

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