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Class: Aws::Comprehend::Types::StartTopicsDetectionJobRequest
- Inherits:
-
Struct
- Object
- Struct
- Aws::Comprehend::Types::StartTopicsDetectionJobRequest
- Defined in:
- (unknown)
Overview
When passing StartTopicsDetectionJobRequest as input to an Aws::Client method, you can use a vanilla Hash:
{
input_data_config: { # required
s3_uri: "S3Uri", # required
input_format: "ONE_DOC_PER_FILE", # accepts ONE_DOC_PER_FILE, ONE_DOC_PER_LINE
},
output_data_config: { # required
s3_uri: "S3Uri", # required
kms_key_id: "KmsKeyId",
},
data_access_role_arn: "IamRoleArn", # required
job_name: "JobName",
number_of_topics: 1,
client_request_token: "ClientRequestTokenString",
volume_kms_key_id: "KmsKeyId",
vpc_config: {
security_group_ids: ["SecurityGroupId"], # required
subnets: ["SubnetId"], # required
},
}
Instance Attribute Summary collapse
-
#client_request_token ⇒ String
A unique identifier for the request.
-
#data_access_role_arn ⇒ String
The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend read access to your input data.
-
#input_data_config ⇒ Types::InputDataConfig
Specifies the format and location of the input data for the job.
-
#job_name ⇒ String
The identifier of the job.
-
#number_of_topics ⇒ Integer
The number of topics to detect.
-
#output_data_config ⇒ Types::OutputDataConfig
Specifies where to send the output files.
-
#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 an optional private Virtual Private Cloud (VPC) containing the resources you are using for your topic detection job.
Instance Attribute Details
#client_request_token ⇒ String
A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.
#data_access_role_arn ⇒ String
The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend read access to your input data. For more information, see https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions.
#input_data_config ⇒ Types::InputDataConfig
Specifies the format and location of the input data for the job.
#job_name ⇒ String
The identifier of the job.
#number_of_topics ⇒ Integer
The number of topics to detect.
#output_data_config ⇒ Types::OutputDataConfig
Specifies where to send the output files. The output is a compressed
archive with two files, topic-terms.csv
that lists the terms
associated with each topic, and doc-topics.csv
that lists the
documents associated with each topic
#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 an optional private Virtual Private Cloud (VPC) containing the resources you are using for your topic detection job. For more information, see Amazon VPC.