#[non_exhaustive]pub struct CreateEntityRecognizerInput {
pub recognizer_name: Option<String>,
pub version_name: Option<String>,
pub data_access_role_arn: Option<String>,
pub tags: Option<Vec<Tag>>,
pub input_data_config: Option<EntityRecognizerInputDataConfig>,
pub client_request_token: Option<String>,
pub language_code: Option<LanguageCode>,
pub volume_kms_key_id: Option<String>,
pub vpc_config: Option<VpcConfig>,
pub model_kms_key_id: Option<String>,
pub model_policy: Option<String>,
}Fields (Non-exhaustive)
This struct is marked as non-exhaustive
Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.recognizer_name: Option<String>The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/region.
version_name: Option<String>The version name given to the newly created recognizer. Version names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same recognizer name in the account/ AWS Region.
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.
Tags to be associated with the entity recognizer being created. 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.
input_data_config: Option<EntityRecognizerInputDataConfig>Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same region as the entity recognizer being created.
client_request_token: Option<String>A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
language_code: Option<LanguageCode>You can specify any of the following languages supported by Amazon Comprehend: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). All documents must be in the same language.
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 an optional 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"
model_policy: Option<String>The JSON resource-based policy to attach to your custom entity recognizer model. You can use this policy to allow another AWS account to import your custom model.
Provide your JSON as a UTF-8 encoded string without line breaks. To provide valid JSON for your policy, 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"]}'
Implementations
sourceimpl CreateEntityRecognizerInput
impl CreateEntityRecognizerInput
sourcepub async fn make_operation(
self,
_config: &Config
) -> Result<Operation<CreateEntityRecognizer, AwsErrorRetryPolicy>, BuildError>
pub async fn make_operation(
self,
_config: &Config
) -> Result<Operation<CreateEntityRecognizer, AwsErrorRetryPolicy>, BuildError>
Consumes the builder and constructs an Operation<CreateEntityRecognizer>
sourcepub fn builder() -> Builder
pub fn builder() -> Builder
Creates a new builder-style object to manufacture CreateEntityRecognizerInput
sourceimpl CreateEntityRecognizerInput
impl CreateEntityRecognizerInput
sourcepub fn recognizer_name(&self) -> Option<&str>
pub fn recognizer_name(&self) -> Option<&str>
The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/region.
sourcepub fn version_name(&self) -> Option<&str>
pub fn version_name(&self) -> Option<&str>
The version name given to the newly created recognizer. Version names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same recognizer name in the account/ AWS Region.
sourcepub fn data_access_role_arn(&self) -> Option<&str>
pub fn data_access_role_arn(&self) -> Option<&str>
The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.
Tags to be associated with the entity recognizer being created. 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) -> Option<&EntityRecognizerInputDataConfig>
pub fn input_data_config(&self) -> Option<&EntityRecognizerInputDataConfig>
Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same region as the entity recognizer being created.
sourcepub fn client_request_token(&self) -> Option<&str>
pub fn client_request_token(&self) -> Option<&str>
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
sourcepub fn language_code(&self) -> Option<&LanguageCode>
pub fn language_code(&self) -> Option<&LanguageCode>
You can specify any of the following languages supported by Amazon Comprehend: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). All documents must be in the same language.
sourcepub fn volume_kms_key_id(&self) -> Option<&str>
pub fn volume_kms_key_id(&self) -> Option<&str>
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"
sourcepub fn vpc_config(&self) -> Option<&VpcConfig>
pub fn vpc_config(&self) -> Option<&VpcConfig>
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.
sourcepub fn model_kms_key_id(&self) -> Option<&str>
pub fn model_kms_key_id(&self) -> Option<&str>
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"
sourcepub fn model_policy(&self) -> Option<&str>
pub fn model_policy(&self) -> Option<&str>
The JSON resource-based policy to attach to your custom entity recognizer model. You can use this policy to allow another AWS account to import your custom model.
Provide your JSON as a UTF-8 encoded string without line breaks. To provide valid JSON for your policy, 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
sourceimpl Clone for CreateEntityRecognizerInput
impl Clone for CreateEntityRecognizerInput
sourcefn clone(&self) -> CreateEntityRecognizerInput
fn clone(&self) -> CreateEntityRecognizerInput
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source. Read more
sourceimpl Debug for CreateEntityRecognizerInput
impl Debug for CreateEntityRecognizerInput
sourceimpl PartialEq<CreateEntityRecognizerInput> for CreateEntityRecognizerInput
impl PartialEq<CreateEntityRecognizerInput> for CreateEntityRecognizerInput
sourcefn eq(&self, other: &CreateEntityRecognizerInput) -> bool
fn eq(&self, other: &CreateEntityRecognizerInput) -> bool
This method tests for self and other values to be equal, and is used
by ==. Read more
sourcefn ne(&self, other: &CreateEntityRecognizerInput) -> bool
fn ne(&self, other: &CreateEntityRecognizerInput) -> bool
This method tests for !=.
impl StructuralPartialEq for CreateEntityRecognizerInput
Auto Trait Implementations
impl RefUnwindSafe for CreateEntityRecognizerInput
impl Send for CreateEntityRecognizerInput
impl Sync for CreateEntityRecognizerInput
impl Unpin for CreateEntityRecognizerInput
impl UnwindSafe for CreateEntityRecognizerInput
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcepub fn borrow_mut(&mut self) -> &mut T
pub fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> Instrument for T
impl<T> Instrument for T
sourcefn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
sourcefn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcepub fn to_owned(&self) -> T
pub fn to_owned(&self) -> T
Creates owned data from borrowed data, usually by cloning. Read more
sourcepub fn clone_into(&self, target: &mut T)
pub fn clone_into(&self, target: &mut T)
toowned_clone_into)Uses borrowed data to replace owned data, usually by cloning. Read more
sourceimpl<T> WithSubscriber for T
impl<T> WithSubscriber for T
sourcefn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
Attaches the provided Subscriber to this type, returning a
WithDispatch wrapper. Read more
sourcefn with_current_subscriber(self) -> WithDispatch<Self>
fn with_current_subscriber(self) -> WithDispatch<Self>
Attaches the current default Subscriber to this type, returning a
WithDispatch wrapper. Read more