Struct rusoto_comprehend::DocumentClassifierProperties

pub struct DocumentClassifierProperties {

    pub classifier_metadata: Option<ClassifierMetadata>,
    pub data_access_role_arn: Option<String>,
    pub document_classifier_arn: Option<String>,
    pub end_time: Option<f64>,
    pub input_data_config: Option<DocumentClassifierInputDataConfig>,
    pub language_code: Option<String>,
    pub message: Option<String>,
    pub mode: Option<String>,
    pub model_kms_key_id: Option<String>,
    pub output_data_config: Option<DocumentClassifierOutputDataConfig>,
    pub status: Option<String>,
    pub submit_time: Option<f64>,
    pub training_end_time: Option<f64>,
    pub training_start_time: Option<f64>,
    pub volume_kms_key_id: Option<String>,
    pub vpc_config: Option<VpcConfig>,
}

Provides information about a document classifier.

Fields

classifier_metadata: Option<ClassifierMetadata>

Information about the document classifier, including the number of documents used for training the classifier, the number of documents used for test the classifier, and an accuracy rating.

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.

document_classifier_arn: Option<String>

The Amazon Resource Name (ARN) that identifies the document classifier.

end_time: Option<f64>

The time that training the document classifier completed.

input_data_config: Option<DocumentClassifierInputDataConfig>

The input data configuration that you supplied when you created the document classifier for training.

language_code: Option<String>

The language code for the language of the documents that the classifier was trained on.

message: Option<String>

Additional information about the status of the classifier.

mode: Option<String>

Indicates the mode in which the specific classifier was trained. This also indicates the format of input documents and the format of the confusion matrix. Each classifier can only be trained in one mode and this cannot be changed once the classifier is trained.

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"

output_data_config: Option<DocumentClassifierOutputDataConfig>

Provides output results configuration parameters for custom classifier jobs.

status: Option<String>

The status of the document classifier. If the status is TRAINED the classifier is ready to use. If the status is FAILED you can see additional information about why the classifier wasn't trained in the Message field.

submit_time: Option<f64>

The time that the document classifier was submitted for training.

training_end_time: Option<f64>

The time that training of the document classifier was completed. Indicates the time when the training completes on documentation classifiers. You are billed for the time interval between this time and the value of TrainingStartTime.

training_start_time: Option<f64>

Indicates the time when the training starts on documentation classifiers. You are billed for the time interval between this time and the value of TrainingEndTime.

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 classifier. For more information, see Amazon VPC.

Trait Implementations

impl Clone for DocumentClassifierProperties

fn clone(&self) -> DocumentClassifierProperties

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DocumentClassifierProperties

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

Formats the value using the given formatter.

impl Default for DocumentClassifierProperties

fn default() -> DocumentClassifierProperties

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DocumentClassifierProperties

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl PartialEq<DocumentClassifierProperties> for DocumentClassifierProperties

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

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &DocumentClassifierProperties) -> bool

This method tests for !=.

impl StructuralPartialEq for DocumentClassifierProperties