Struct StartTopicsDetectionJobInputBuilder

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#[non_exhaustive]
pub struct StartTopicsDetectionJobInputBuilder { /* private fields */ }
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impl StartTopicsDetectionJobInputBuilder

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pub fn input_data_config(self, input: InputDataConfig) -> Self

Specifies the format and location of the input data for the job.

This field is required.
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pub fn set_input_data_config(self, input: Option<InputDataConfig>) -> Self

Specifies the format and location of the input data for the job.

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pub fn get_input_data_config(&self) -> &Option<InputDataConfig>

Specifies the format and location of the input data for the job.

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pub fn output_data_config(self, input: OutputDataConfig) -> Self

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

This field is required.
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pub fn set_output_data_config(self, input: Option<OutputDataConfig>) -> Self

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

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pub fn get_output_data_config(&self) -> &Option<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

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pub fn data_access_role_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.

This field is required.
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pub fn set_data_access_role_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.

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pub fn get_data_access_role_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.

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pub fn job_name(self, input: impl Into<String>) -> Self

The identifier of the job.

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pub fn set_job_name(self, input: Option<String>) -> Self

The identifier of the job.

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pub fn get_job_name(&self) -> &Option<String>

The identifier of the job.

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pub fn number_of_topics(self, input: i32) -> Self

The number of topics to detect.

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pub fn set_number_of_topics(self, input: Option<i32>) -> Self

The number of topics to detect.

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pub fn get_number_of_topics(&self) -> &Option<i32>

The number of topics to detect.

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pub fn client_request_token(self, input: impl Into<String>) -> Self

A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.

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pub fn set_client_request_token(self, input: Option<String>) -> Self

A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.

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pub fn get_client_request_token(&self) -> &Option<String>

A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.

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pub fn volume_kms_key_id(self, input: impl Into<String>) -> Self

ID for the Amazon Web Services 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"

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pub fn set_volume_kms_key_id(self, input: Option<String>) -> Self

ID for the Amazon Web Services 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"

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pub fn get_volume_kms_key_id(&self) -> &Option<String>

ID for the Amazon Web Services 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"

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pub fn vpc_config(self, input: VpcConfig) -> Self

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.

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pub fn set_vpc_config(self, input: Option<VpcConfig>) -> Self

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.

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pub fn get_vpc_config(&self) -> &Option<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.

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pub fn tags(self, input: Tag) -> Self

Appends an item to tags.

To override the contents of this collection use set_tags.

Tags to associate with the topics detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

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pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

Tags to associate with the topics detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

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pub fn get_tags(&self) -> &Option<Vec<Tag>>

Tags to associate with the topics detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

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pub fn build(self) -> Result<StartTopicsDetectionJobInput, BuildError>

Consumes the builder and constructs a StartTopicsDetectionJobInput.

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impl StartTopicsDetectionJobInputBuilder

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pub async fn send_with( self, client: &Client, ) -> Result<StartTopicsDetectionJobOutput, SdkError<StartTopicsDetectionJobError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations§

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impl Clone for StartTopicsDetectionJobInputBuilder

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fn clone(&self) -> StartTopicsDetectionJobInputBuilder

Returns a duplicate of the value. Read more
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const fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for StartTopicsDetectionJobInputBuilder

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for StartTopicsDetectionJobInputBuilder

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fn default() -> StartTopicsDetectionJobInputBuilder

Returns the “default value” for a type. Read more
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impl PartialEq for StartTopicsDetectionJobInputBuilder

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fn eq(&self, other: &StartTopicsDetectionJobInputBuilder) -> bool

Tests for self and other values to be equal, and is used by ==.
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const fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for StartTopicsDetectionJobInputBuilder

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