pub struct CreateDocumentClassifierFluentBuilder { /* private fields */ }
Expand description
Fluent builder constructing a request to CreateDocumentClassifier
.
Creates a new document classifier that you can use to categorize documents. To create a classifier, you provide a set of training documents that are labeled with the categories that you want to use. For more information, see Training classifier models in the Comprehend Developer Guide.
Implementations§
Source§impl CreateDocumentClassifierFluentBuilder
impl CreateDocumentClassifierFluentBuilder
Sourcepub fn as_input(&self) -> &CreateDocumentClassifierInputBuilder
pub fn as_input(&self) -> &CreateDocumentClassifierInputBuilder
Access the CreateDocumentClassifier as a reference.
Sourcepub async fn send(
self,
) -> Result<CreateDocumentClassifierOutput, SdkError<CreateDocumentClassifierError, HttpResponse>>
pub async fn send( self, ) -> Result<CreateDocumentClassifierOutput, SdkError<CreateDocumentClassifierError, HttpResponse>>
Sends the request and returns the response.
If an error occurs, an SdkError
will be returned with additional details that
can be matched against.
By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.
Sourcepub fn customize(
self,
) -> CustomizableOperation<CreateDocumentClassifierOutput, CreateDocumentClassifierError, Self>
pub fn customize( self, ) -> CustomizableOperation<CreateDocumentClassifierOutput, CreateDocumentClassifierError, Self>
Consumes this builder, creating a customizable operation that can be modified before being sent.
Sourcepub fn document_classifier_name(self, input: impl Into<String>) -> Self
pub fn document_classifier_name(self, input: impl Into<String>) -> Self
The name of the document classifier.
Sourcepub fn set_document_classifier_name(self, input: Option<String>) -> Self
pub fn set_document_classifier_name(self, input: Option<String>) -> Self
The name of the document classifier.
Sourcepub fn get_document_classifier_name(&self) -> &Option<String>
pub fn get_document_classifier_name(&self) -> &Option<String>
The name of the document classifier.
Sourcepub fn version_name(self, input: impl Into<String>) -> Self
pub fn version_name(self, input: impl Into<String>) -> Self
The version name given to the newly created classifier. Version names can have a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same classifier name in the Amazon Web Services account/Amazon Web Services Region.
Sourcepub fn set_version_name(self, input: Option<String>) -> Self
pub fn set_version_name(self, input: Option<String>) -> Self
The version name given to the newly created classifier. Version names can have a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same classifier name in the Amazon Web Services account/Amazon Web Services Region.
Sourcepub fn get_version_name(&self) -> &Option<String>
pub fn get_version_name(&self) -> &Option<String>
The version name given to the newly created classifier. Version names can have a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same classifier name in the Amazon Web Services account/Amazon Web Services Region.
Sourcepub fn data_access_role_arn(self, input: impl Into<String>) -> Self
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.
Sourcepub fn set_data_access_role_arn(self, input: Option<String>) -> Self
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.
Sourcepub fn get_data_access_role_arn(&self) -> &Option<String>
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.
Appends an item to Tags
.
To override the contents of this collection use set_tags
.
Tags to associate with the document classifier. A tag is a key-value pair that adds as a 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.
Tags to associate with the document classifier. A tag is a key-value pair that adds as a 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.
Tags to associate with the document classifier. A tag is a key-value pair that adds as a 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.
Sourcepub fn input_data_config(self, input: DocumentClassifierInputDataConfig) -> Self
pub fn input_data_config(self, input: DocumentClassifierInputDataConfig) -> Self
Specifies the format and location of the input data for the job.
Sourcepub fn set_input_data_config(
self,
input: Option<DocumentClassifierInputDataConfig>,
) -> Self
pub fn set_input_data_config( self, input: Option<DocumentClassifierInputDataConfig>, ) -> Self
Specifies the format and location of the input data for the job.
Sourcepub fn get_input_data_config(
&self,
) -> &Option<DocumentClassifierInputDataConfig>
pub fn get_input_data_config( &self, ) -> &Option<DocumentClassifierInputDataConfig>
Specifies the format and location of the input data for the job.
Sourcepub fn output_data_config(
self,
input: DocumentClassifierOutputDataConfig,
) -> Self
pub fn output_data_config( self, input: DocumentClassifierOutputDataConfig, ) -> Self
Specifies the location for the output files from a custom classifier job. This parameter is required for a request that creates a native document model.
Sourcepub fn set_output_data_config(
self,
input: Option<DocumentClassifierOutputDataConfig>,
) -> Self
pub fn set_output_data_config( self, input: Option<DocumentClassifierOutputDataConfig>, ) -> Self
Specifies the location for the output files from a custom classifier job. This parameter is required for a request that creates a native document model.
Sourcepub fn get_output_data_config(
&self,
) -> &Option<DocumentClassifierOutputDataConfig>
pub fn get_output_data_config( &self, ) -> &Option<DocumentClassifierOutputDataConfig>
Specifies the location for the output files from a custom classifier job. This parameter is required for a request that creates a native document model.
Sourcepub fn client_request_token(self, input: impl Into<String>) -> Self
pub fn client_request_token(self, input: impl Into<String>) -> Self
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
Sourcepub fn set_client_request_token(self, input: Option<String>) -> Self
pub fn set_client_request_token(self, input: Option<String>) -> Self
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
Sourcepub fn get_client_request_token(&self) -> &Option<String>
pub fn get_client_request_token(&self) -> &Option<String>
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
Sourcepub fn language_code(self, input: LanguageCode) -> Self
pub fn language_code(self, input: LanguageCode) -> Self
The language of the input documents. You can specify any of the languages supported by Amazon Comprehend. All documents must be in the same language.
Sourcepub fn set_language_code(self, input: Option<LanguageCode>) -> Self
pub fn set_language_code(self, input: Option<LanguageCode>) -> Self
The language of the input documents. You can specify any of the languages supported by Amazon Comprehend. All documents must be in the same language.
Sourcepub fn get_language_code(&self) -> &Option<LanguageCode>
pub fn get_language_code(&self) -> &Option<LanguageCode>
The language of the input documents. You can specify any of the languages supported by Amazon Comprehend. All documents must be in the same language.
Sourcepub fn volume_kms_key_id(self, input: impl Into<String>) -> Self
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"
Sourcepub fn set_volume_kms_key_id(self, input: Option<String>) -> Self
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"
Sourcepub fn get_volume_kms_key_id(&self) -> &Option<String>
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"
Sourcepub fn vpc_config(self, input: VpcConfig) -> Self
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 custom classifier. For more information, see Amazon VPC.
Sourcepub fn set_vpc_config(self, input: Option<VpcConfig>) -> Self
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 custom classifier. For more information, see Amazon VPC.
Sourcepub fn get_vpc_config(&self) -> &Option<VpcConfig>
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 custom classifier. For more information, see Amazon VPC.
Sourcepub fn mode(self, input: DocumentClassifierMode) -> Self
pub fn mode(self, input: DocumentClassifierMode) -> Self
Indicates the mode in which the classifier will be trained. The classifier can be trained in multi-class (single-label) mode or multi-label mode. Multi-class mode identifies a single class label for each document and multi-label mode identifies one or more class labels for each document. Multiple labels for an individual document are separated by a delimiter. The default delimiter between labels is a pipe (|).
Sourcepub fn set_mode(self, input: Option<DocumentClassifierMode>) -> Self
pub fn set_mode(self, input: Option<DocumentClassifierMode>) -> Self
Indicates the mode in which the classifier will be trained. The classifier can be trained in multi-class (single-label) mode or multi-label mode. Multi-class mode identifies a single class label for each document and multi-label mode identifies one or more class labels for each document. Multiple labels for an individual document are separated by a delimiter. The default delimiter between labels is a pipe (|).
Sourcepub fn get_mode(&self) -> &Option<DocumentClassifierMode>
pub fn get_mode(&self) -> &Option<DocumentClassifierMode>
Indicates the mode in which the classifier will be trained. The classifier can be trained in multi-class (single-label) mode or multi-label mode. Multi-class mode identifies a single class label for each document and multi-label mode identifies one or more class labels for each document. Multiple labels for an individual document are separated by a delimiter. The default delimiter between labels is a pipe (|).
Sourcepub fn model_kms_key_id(self, input: impl Into<String>) -> Self
pub fn model_kms_key_id(self, input: impl Into<String>) -> Self
ID for the 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"
Sourcepub fn set_model_kms_key_id(self, input: Option<String>) -> Self
pub fn set_model_kms_key_id(self, input: Option<String>) -> Self
ID for the 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"
Sourcepub fn get_model_kms_key_id(&self) -> &Option<String>
pub fn get_model_kms_key_id(&self) -> &Option<String>
ID for the 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"
Sourcepub fn model_policy(self, input: impl Into<String>) -> Self
pub fn model_policy(self, input: impl Into<String>) -> Self
The resource-based policy to attach to your custom document classifier model. You can use this policy to allow another Amazon Web Services account to import your custom model.
Provide your policy as a JSON body that you enter as a UTF-8 encoded string without line breaks. To provide valid JSON, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:
"{\"attribute\": \"value\", \"attribute\": \[\"value\"\]}"
To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:
'{"attribute": "value", "attribute": \["value"\]}'
Sourcepub fn set_model_policy(self, input: Option<String>) -> Self
pub fn set_model_policy(self, input: Option<String>) -> Self
The resource-based policy to attach to your custom document classifier model. You can use this policy to allow another Amazon Web Services account to import your custom model.
Provide your policy as a JSON body that you enter as a UTF-8 encoded string without line breaks. To provide valid JSON, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:
"{\"attribute\": \"value\", \"attribute\": \[\"value\"\]}"
To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:
'{"attribute": "value", "attribute": \["value"\]}'
Sourcepub fn get_model_policy(&self) -> &Option<String>
pub fn get_model_policy(&self) -> &Option<String>
The resource-based policy to attach to your custom document classifier model. You can use this policy to allow another Amazon Web Services account to import your custom model.
Provide your policy as a JSON body that you enter as a UTF-8 encoded string without line breaks. To provide valid JSON, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:
"{\"attribute\": \"value\", \"attribute\": \[\"value\"\]}"
To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:
'{"attribute": "value", "attribute": \["value"\]}'
Trait Implementations§
Source§impl Clone for CreateDocumentClassifierFluentBuilder
impl Clone for CreateDocumentClassifierFluentBuilder
Source§fn clone(&self) -> CreateDocumentClassifierFluentBuilder
fn clone(&self) -> CreateDocumentClassifierFluentBuilder
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moreAuto Trait Implementations§
impl Freeze for CreateDocumentClassifierFluentBuilder
impl !RefUnwindSafe for CreateDocumentClassifierFluentBuilder
impl Send for CreateDocumentClassifierFluentBuilder
impl Sync for CreateDocumentClassifierFluentBuilder
impl Unpin for CreateDocumentClassifierFluentBuilder
impl !UnwindSafe for CreateDocumentClassifierFluentBuilder
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