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Class: Aws::Comprehend::Types::DocumentClassifierProperties
- Inherits:
-
Struct
- Object
- Struct
- Aws::Comprehend::Types::DocumentClassifierProperties
- Defined in:
- (unknown)
Overview
Provides information about a document classifier.
Returned by:
Instance Attribute Summary collapse
-
#classifier_metadata ⇒ Types::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 ⇒ 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 ⇒ String
The Amazon Resource Name (ARN) that identifies the document classifier.
-
#end_time ⇒ Time
The time that training the document classifier completed.
-
#input_data_config ⇒ Types::DocumentClassifierInputDataConfig
The input data configuration that you supplied when you created the document classifier for training.
-
#language_code ⇒ String
The language code for the language of the documents that the classifier was trained on.
-
#message ⇒ String
Additional information about the status of the classifier.
-
#mode ⇒ String
Indicates the mode in which the specific classifier was trained.
-
#output_data_config ⇒ Types::DocumentClassifierOutputDataConfig
Provides output results configuration parameters for custom classifier jobs.
-
#status ⇒ String
The status of the document classifier.
-
#submit_time ⇒ Time
The time that the document classifier was submitted for training.
-
#training_end_time ⇒ Time
The time that training of the document classifier was completed.
-
#training_start_time ⇒ Time
Indicates the time when the training starts on documentation classifiers.
-
#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 a private Virtual Private Cloud (VPC) containing the resources you are using for your custom classifier.
Instance Attribute Details
#classifier_metadata ⇒ Types::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 ⇒ 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 ⇒ String
The Amazon Resource Name (ARN) that identifies the document classifier.
#end_time ⇒ Time
The time that training the document classifier completed.
#input_data_config ⇒ Types::DocumentClassifierInputDataConfig
The input data configuration that you supplied when you created the document classifier for training.
#language_code ⇒ String
The language code for the language of the documents that the classifier was trained on.
Possible values:
- en
- es
- fr
- de
- it
- pt
- ar
- hi
- ja
- ko
- zh
- zh-TW
#message ⇒ String
Additional information about the status of the classifier.
#mode ⇒ 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.
Possible values:
- MULTI_CLASS
- MULTI_LABEL
#output_data_config ⇒ Types::DocumentClassifierOutputDataConfig
Provides output results configuration parameters for custom classifier jobs.
#status ⇒ 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.
Possible values:
- SUBMITTED
- TRAINING
- DELETING
- STOP_REQUESTED
- STOPPED
- IN_ERROR
- TRAINED
#submit_time ⇒ Time
The time that the document classifier was submitted for training.
#training_end_time ⇒ Time
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 ⇒ Time
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 ⇒ 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 a private Virtual Private Cloud (VPC) containing the resources you are using for your custom classifier. For more information, see Amazon VPC.