ComprehendClient
Index > Comprehend > ComprehendClient
Auto-generated documentation for Comprehend type annotations stubs module mypy-boto3-comprehend.
ComprehendClient
Type annotations and code completion for boto3.client("comprehend")
.
boto3 documentation
from boto3.session import Session
from mypy_boto3_comprehend.client import ComprehendClient
def get_comprehend_client() -> ComprehendClient:
return Session().client("comprehend")
Exceptions
boto3
client exceptions are generated in runtime.
This class provides code completion for boto3.client("comprehend").exceptions
structure.
client = boto3.client("comprehend")
try:
do_something(client)
except (
client.BatchSizeLimitExceededException,
client.ClientError,
client.ConcurrentModificationException,
client.InternalServerException,
client.InvalidFilterException,
client.InvalidRequestException,
client.JobNotFoundException,
client.KmsKeyValidationException,
client.ResourceInUseException,
client.ResourceLimitExceededException,
client.ResourceNotFoundException,
client.ResourceUnavailableException,
client.TextSizeLimitExceededException,
client.TooManyRequestsException,
client.TooManyTagKeysException,
client.TooManyTagsException,
client.UnsupportedLanguageException,
) as e:
print(e)
from mypy_boto3_comprehend.client import Exceptions
def handle_error(exc: Exceptions.BatchSizeLimitExceededException) -> None:
...
Methods
batch_detect_dominant_language
Determines the dominant language of the input text for a batch of documents.
Type annotations and code completion for boto3.client("comprehend").batch_detect_dominant_language
method.
boto3 documentation
def batch_detect_dominant_language(
self,
*,
TextList: Sequence[str],
) -> BatchDetectDominantLanguageResponseTypeDef: # (1)
...
kwargs: BatchDetectDominantLanguageRequestRequestTypeDef = { # (1)
"TextList": ...,
}
parent.batch_detect_dominant_language(**kwargs)
batch_detect_entities
Inspects the text of a batch of documents for named entities and returns information about them.
Type annotations and code completion for boto3.client("comprehend").batch_detect_entities
method.
boto3 documentation
def batch_detect_entities(
self,
*,
TextList: Sequence[str],
LanguageCode: LanguageCodeType, # (1)
) -> BatchDetectEntitiesResponseTypeDef: # (2)
...
kwargs: BatchDetectEntitiesRequestRequestTypeDef = { # (1)
"TextList": ...,
"LanguageCode": ...,
}
parent.batch_detect_entities(**kwargs)
batch_detect_key_phrases
Detects the key noun phrases found in a batch of documents.
Type annotations and code completion for boto3.client("comprehend").batch_detect_key_phrases
method.
boto3 documentation
def batch_detect_key_phrases(
self,
*,
TextList: Sequence[str],
LanguageCode: LanguageCodeType, # (1)
) -> BatchDetectKeyPhrasesResponseTypeDef: # (2)
...
kwargs: BatchDetectKeyPhrasesRequestRequestTypeDef = { # (1)
"TextList": ...,
"LanguageCode": ...,
}
parent.batch_detect_key_phrases(**kwargs)
batch_detect_sentiment
Inspects a batch of documents and returns an inference of the prevailing
sentiment, POSITIVE
, NEUTRAL
, MIXED
, or NEGATIVE
, in each one.
Type annotations and code completion for boto3.client("comprehend").batch_detect_sentiment
method.
boto3 documentation
def batch_detect_sentiment(
self,
*,
TextList: Sequence[str],
LanguageCode: LanguageCodeType, # (1)
) -> BatchDetectSentimentResponseTypeDef: # (2)
...
kwargs: BatchDetectSentimentRequestRequestTypeDef = { # (1)
"TextList": ...,
"LanguageCode": ...,
}
parent.batch_detect_sentiment(**kwargs)
batch_detect_syntax
Inspects the text of a batch of documents for the syntax and part of speech of the words in the document and returns information about them.
Type annotations and code completion for boto3.client("comprehend").batch_detect_syntax
method.
boto3 documentation
def batch_detect_syntax(
self,
*,
TextList: Sequence[str],
LanguageCode: SyntaxLanguageCodeType, # (1)
) -> BatchDetectSyntaxResponseTypeDef: # (2)
...
kwargs: BatchDetectSyntaxRequestRequestTypeDef = { # (1)
"TextList": ...,
"LanguageCode": ...,
}
parent.batch_detect_syntax(**kwargs)
batch_detect_targeted_sentiment
Inspects a batch of documents and returns a sentiment analysis for each entity identified in the documents.
Type annotations and code completion for boto3.client("comprehend").batch_detect_targeted_sentiment
method.
boto3 documentation
def batch_detect_targeted_sentiment(
self,
*,
TextList: Sequence[str],
LanguageCode: LanguageCodeType, # (1)
) -> BatchDetectTargetedSentimentResponseTypeDef: # (2)
...
kwargs: BatchDetectTargetedSentimentRequestRequestTypeDef = { # (1)
"TextList": ...,
"LanguageCode": ...,
}
parent.batch_detect_targeted_sentiment(**kwargs)
can_paginate
Check if an operation can be paginated.
Type annotations and code completion for boto3.client("comprehend").can_paginate
method.
boto3 documentation
classify_document
Creates a new document classification request to analyze a single document in real-time, using a previously created and trained custom model and an endpoint.
Type annotations and code completion for boto3.client("comprehend").classify_document
method.
boto3 documentation
def classify_document(
self,
*,
EndpointArn: str,
Text: str = ...,
Bytes: Union[str, bytes, IO[Any], StreamingBody] = ...,
DocumentReaderConfig: DocumentReaderConfigTypeDef = ..., # (1)
) -> ClassifyDocumentResponseTypeDef: # (2)
...
kwargs: ClassifyDocumentRequestRequestTypeDef = { # (1)
"EndpointArn": ...,
}
parent.classify_document(**kwargs)
close
Closes underlying endpoint connections.
Type annotations and code completion for boto3.client("comprehend").close
method.
boto3 documentation
contains_pii_entities
Analyzes input text for the presence of personally identifiable information (PII) and returns the labels of identified PII entity types such as name, address, bank account number, or phone number.
Type annotations and code completion for boto3.client("comprehend").contains_pii_entities
method.
boto3 documentation
def contains_pii_entities(
self,
*,
Text: str,
LanguageCode: LanguageCodeType, # (1)
) -> ContainsPiiEntitiesResponseTypeDef: # (2)
...
kwargs: ContainsPiiEntitiesRequestRequestTypeDef = { # (1)
"Text": ...,
"LanguageCode": ...,
}
parent.contains_pii_entities(**kwargs)
create_document_classifier
Creates a new document classifier that you can use to categorize documents.
Type annotations and code completion for boto3.client("comprehend").create_document_classifier
method.
boto3 documentation
def create_document_classifier(
self,
*,
DocumentClassifierName: str,
DataAccessRoleArn: str,
InputDataConfig: DocumentClassifierInputDataConfigTypeDef, # (1)
LanguageCode: LanguageCodeType, # (2)
VersionName: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (3)
OutputDataConfig: DocumentClassifierOutputDataConfigTypeDef = ..., # (4)
ClientRequestToken: str = ...,
VolumeKmsKeyId: str = ...,
VpcConfig: VpcConfigTypeDef = ..., # (5)
Mode: DocumentClassifierModeType = ..., # (6)
ModelKmsKeyId: str = ...,
ModelPolicy: str = ...,
) -> CreateDocumentClassifierResponseTypeDef: # (7)
...
- See DocumentClassifierInputDataConfigTypeDef
- See LanguageCodeType
- See TagTypeDef
- See DocumentClassifierOutputDataConfigTypeDef
- See VpcConfigTypeDef
- See DocumentClassifierModeType
- See CreateDocumentClassifierResponseTypeDef
kwargs: CreateDocumentClassifierRequestRequestTypeDef = { # (1)
"DocumentClassifierName": ...,
"DataAccessRoleArn": ...,
"InputDataConfig": ...,
"LanguageCode": ...,
}
parent.create_document_classifier(**kwargs)
create_endpoint
Creates a model-specific endpoint for synchronous inference for a previously trained custom model For information about endpoints, see Managing endpoints_.
Type annotations and code completion for boto3.client("comprehend").create_endpoint
method.
boto3 documentation
def create_endpoint(
self,
*,
EndpointName: str,
ModelArn: str,
DesiredInferenceUnits: int,
ClientRequestToken: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (1)
DataAccessRoleArn: str = ...,
) -> CreateEndpointResponseTypeDef: # (2)
...
kwargs: CreateEndpointRequestRequestTypeDef = { # (1)
"EndpointName": ...,
"ModelArn": ...,
"DesiredInferenceUnits": ...,
}
parent.create_endpoint(**kwargs)
create_entity_recognizer
Creates an entity recognizer using submitted files.
Type annotations and code completion for boto3.client("comprehend").create_entity_recognizer
method.
boto3 documentation
def create_entity_recognizer(
self,
*,
RecognizerName: str,
DataAccessRoleArn: str,
InputDataConfig: EntityRecognizerInputDataConfigTypeDef, # (1)
LanguageCode: LanguageCodeType, # (2)
VersionName: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (3)
ClientRequestToken: str = ...,
VolumeKmsKeyId: str = ...,
VpcConfig: VpcConfigTypeDef = ..., # (4)
ModelKmsKeyId: str = ...,
ModelPolicy: str = ...,
) -> CreateEntityRecognizerResponseTypeDef: # (5)
...
- See EntityRecognizerInputDataConfigTypeDef
- See LanguageCodeType
- See TagTypeDef
- See VpcConfigTypeDef
- See CreateEntityRecognizerResponseTypeDef
kwargs: CreateEntityRecognizerRequestRequestTypeDef = { # (1)
"RecognizerName": ...,
"DataAccessRoleArn": ...,
"InputDataConfig": ...,
"LanguageCode": ...,
}
parent.create_entity_recognizer(**kwargs)
delete_document_classifier
Deletes a previously created document classifier Only those classifiers that are in terminated states (IN_ERROR, TRAINED) will be deleted.
Type annotations and code completion for boto3.client("comprehend").delete_document_classifier
method.
boto3 documentation
def delete_document_classifier(
self,
*,
DocumentClassifierArn: str,
) -> Dict[str, Any]:
...
kwargs: DeleteDocumentClassifierRequestRequestTypeDef = { # (1)
"DocumentClassifierArn": ...,
}
parent.delete_document_classifier(**kwargs)
delete_endpoint
Deletes a model-specific endpoint for a previously-trained custom model.
Type annotations and code completion for boto3.client("comprehend").delete_endpoint
method.
boto3 documentation
kwargs: DeleteEndpointRequestRequestTypeDef = { # (1)
"EndpointArn": ...,
}
parent.delete_endpoint(**kwargs)
delete_entity_recognizer
Deletes an entity recognizer.
Type annotations and code completion for boto3.client("comprehend").delete_entity_recognizer
method.
boto3 documentation
def delete_entity_recognizer(
self,
*,
EntityRecognizerArn: str,
) -> Dict[str, Any]:
...
kwargs: DeleteEntityRecognizerRequestRequestTypeDef = { # (1)
"EntityRecognizerArn": ...,
}
parent.delete_entity_recognizer(**kwargs)
delete_resource_policy
Deletes a resource-based policy that is attached to a custom model.
Type annotations and code completion for boto3.client("comprehend").delete_resource_policy
method.
boto3 documentation
def delete_resource_policy(
self,
*,
ResourceArn: str,
PolicyRevisionId: str = ...,
) -> Dict[str, Any]:
...
kwargs: DeleteResourcePolicyRequestRequestTypeDef = { # (1)
"ResourceArn": ...,
}
parent.delete_resource_policy(**kwargs)
describe_document_classification_job
Gets the properties associated with a document classification job.
Type annotations and code completion for boto3.client("comprehend").describe_document_classification_job
method.
boto3 documentation
def describe_document_classification_job(
self,
*,
JobId: str,
) -> DescribeDocumentClassificationJobResponseTypeDef: # (1)
...
kwargs: DescribeDocumentClassificationJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_document_classification_job(**kwargs)
describe_document_classifier
Gets the properties associated with a document classifier.
Type annotations and code completion for boto3.client("comprehend").describe_document_classifier
method.
boto3 documentation
def describe_document_classifier(
self,
*,
DocumentClassifierArn: str,
) -> DescribeDocumentClassifierResponseTypeDef: # (1)
...
kwargs: DescribeDocumentClassifierRequestRequestTypeDef = { # (1)
"DocumentClassifierArn": ...,
}
parent.describe_document_classifier(**kwargs)
describe_dominant_language_detection_job
Gets the properties associated with a dominant language detection job.
Type annotations and code completion for boto3.client("comprehend").describe_dominant_language_detection_job
method.
boto3 documentation
def describe_dominant_language_detection_job(
self,
*,
JobId: str,
) -> DescribeDominantLanguageDetectionJobResponseTypeDef: # (1)
...
kwargs: DescribeDominantLanguageDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_dominant_language_detection_job(**kwargs)
describe_endpoint
Gets the properties associated with a specific endpoint.
Type annotations and code completion for boto3.client("comprehend").describe_endpoint
method.
boto3 documentation
def describe_endpoint(
self,
*,
EndpointArn: str,
) -> DescribeEndpointResponseTypeDef: # (1)
...
kwargs: DescribeEndpointRequestRequestTypeDef = { # (1)
"EndpointArn": ...,
}
parent.describe_endpoint(**kwargs)
describe_entities_detection_job
Gets the properties associated with an entities detection job.
Type annotations and code completion for boto3.client("comprehend").describe_entities_detection_job
method.
boto3 documentation
def describe_entities_detection_job(
self,
*,
JobId: str,
) -> DescribeEntitiesDetectionJobResponseTypeDef: # (1)
...
kwargs: DescribeEntitiesDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_entities_detection_job(**kwargs)
describe_entity_recognizer
Provides details about an entity recognizer including status, S3 buckets containing training data, recognizer metadata, metrics, and so on.
Type annotations and code completion for boto3.client("comprehend").describe_entity_recognizer
method.
boto3 documentation
def describe_entity_recognizer(
self,
*,
EntityRecognizerArn: str,
) -> DescribeEntityRecognizerResponseTypeDef: # (1)
...
kwargs: DescribeEntityRecognizerRequestRequestTypeDef = { # (1)
"EntityRecognizerArn": ...,
}
parent.describe_entity_recognizer(**kwargs)
describe_events_detection_job
Gets the status and details of an events detection job.
Type annotations and code completion for boto3.client("comprehend").describe_events_detection_job
method.
boto3 documentation
def describe_events_detection_job(
self,
*,
JobId: str,
) -> DescribeEventsDetectionJobResponseTypeDef: # (1)
...
kwargs: DescribeEventsDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_events_detection_job(**kwargs)
describe_key_phrases_detection_job
Gets the properties associated with a key phrases detection job.
Type annotations and code completion for boto3.client("comprehend").describe_key_phrases_detection_job
method.
boto3 documentation
def describe_key_phrases_detection_job(
self,
*,
JobId: str,
) -> DescribeKeyPhrasesDetectionJobResponseTypeDef: # (1)
...
kwargs: DescribeKeyPhrasesDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_key_phrases_detection_job(**kwargs)
describe_pii_entities_detection_job
Gets the properties associated with a PII entities detection job.
Type annotations and code completion for boto3.client("comprehend").describe_pii_entities_detection_job
method.
boto3 documentation
def describe_pii_entities_detection_job(
self,
*,
JobId: str,
) -> DescribePiiEntitiesDetectionJobResponseTypeDef: # (1)
...
kwargs: DescribePiiEntitiesDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_pii_entities_detection_job(**kwargs)
describe_resource_policy
Gets the details of a resource-based policy that is attached to a custom model, including the JSON body of the policy.
Type annotations and code completion for boto3.client("comprehend").describe_resource_policy
method.
boto3 documentation
def describe_resource_policy(
self,
*,
ResourceArn: str,
) -> DescribeResourcePolicyResponseTypeDef: # (1)
...
kwargs: DescribeResourcePolicyRequestRequestTypeDef = { # (1)
"ResourceArn": ...,
}
parent.describe_resource_policy(**kwargs)
describe_sentiment_detection_job
Gets the properties associated with a sentiment detection job.
Type annotations and code completion for boto3.client("comprehend").describe_sentiment_detection_job
method.
boto3 documentation
def describe_sentiment_detection_job(
self,
*,
JobId: str,
) -> DescribeSentimentDetectionJobResponseTypeDef: # (1)
...
kwargs: DescribeSentimentDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_sentiment_detection_job(**kwargs)
describe_targeted_sentiment_detection_job
Gets the properties associated with a targeted sentiment detection job.
Type annotations and code completion for boto3.client("comprehend").describe_targeted_sentiment_detection_job
method.
boto3 documentation
def describe_targeted_sentiment_detection_job(
self,
*,
JobId: str,
) -> DescribeTargetedSentimentDetectionJobResponseTypeDef: # (1)
...
kwargs: DescribeTargetedSentimentDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_targeted_sentiment_detection_job(**kwargs)
describe_topics_detection_job
Gets the properties associated with a topic detection job.
Type annotations and code completion for boto3.client("comprehend").describe_topics_detection_job
method.
boto3 documentation
def describe_topics_detection_job(
self,
*,
JobId: str,
) -> DescribeTopicsDetectionJobResponseTypeDef: # (1)
...
kwargs: DescribeTopicsDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_topics_detection_job(**kwargs)
detect_dominant_language
Determines the dominant language of the input text.
Type annotations and code completion for boto3.client("comprehend").detect_dominant_language
method.
boto3 documentation
def detect_dominant_language(
self,
*,
Text: str,
) -> DetectDominantLanguageResponseTypeDef: # (1)
...
kwargs: DetectDominantLanguageRequestRequestTypeDef = { # (1)
"Text": ...,
}
parent.detect_dominant_language(**kwargs)
detect_entities
Detects named entities in input text when you use the pre-trained model.
Type annotations and code completion for boto3.client("comprehend").detect_entities
method.
boto3 documentation
def detect_entities(
self,
*,
Text: str = ...,
LanguageCode: LanguageCodeType = ..., # (1)
EndpointArn: str = ...,
Bytes: Union[str, bytes, IO[Any], StreamingBody] = ...,
DocumentReaderConfig: DocumentReaderConfigTypeDef = ..., # (2)
) -> DetectEntitiesResponseTypeDef: # (3)
...
kwargs: DetectEntitiesRequestRequestTypeDef = { # (1)
"Text": ...,
}
parent.detect_entities(**kwargs)
detect_key_phrases
Detects the key noun phrases found in the text.
Type annotations and code completion for boto3.client("comprehend").detect_key_phrases
method.
boto3 documentation
def detect_key_phrases(
self,
*,
Text: str,
LanguageCode: LanguageCodeType, # (1)
) -> DetectKeyPhrasesResponseTypeDef: # (2)
...
kwargs: DetectKeyPhrasesRequestRequestTypeDef = { # (1)
"Text": ...,
"LanguageCode": ...,
}
parent.detect_key_phrases(**kwargs)
detect_pii_entities
Inspects the input text for entities that contain personally identifiable information (PII) and returns information about them.
Type annotations and code completion for boto3.client("comprehend").detect_pii_entities
method.
boto3 documentation
def detect_pii_entities(
self,
*,
Text: str,
LanguageCode: LanguageCodeType, # (1)
) -> DetectPiiEntitiesResponseTypeDef: # (2)
...
kwargs: DetectPiiEntitiesRequestRequestTypeDef = { # (1)
"Text": ...,
"LanguageCode": ...,
}
parent.detect_pii_entities(**kwargs)
detect_sentiment
Inspects text and returns an inference of the prevailing sentiment ( POSITIVE
, NEUTRAL
, MIXED
, or NEGATIVE
).
Type annotations and code completion for boto3.client("comprehend").detect_sentiment
method.
boto3 documentation
def detect_sentiment(
self,
*,
Text: str,
LanguageCode: LanguageCodeType, # (1)
) -> DetectSentimentResponseTypeDef: # (2)
...
kwargs: DetectSentimentRequestRequestTypeDef = { # (1)
"Text": ...,
"LanguageCode": ...,
}
parent.detect_sentiment(**kwargs)
detect_syntax
Inspects text for syntax and the part of speech of words in the document.
Type annotations and code completion for boto3.client("comprehend").detect_syntax
method.
boto3 documentation
def detect_syntax(
self,
*,
Text: str,
LanguageCode: SyntaxLanguageCodeType, # (1)
) -> DetectSyntaxResponseTypeDef: # (2)
...
kwargs: DetectSyntaxRequestRequestTypeDef = { # (1)
"Text": ...,
"LanguageCode": ...,
}
parent.detect_syntax(**kwargs)
detect_targeted_sentiment
Inspects the input text and returns a sentiment analysis for each entity identified in the text.
Type annotations and code completion for boto3.client("comprehend").detect_targeted_sentiment
method.
boto3 documentation
def detect_targeted_sentiment(
self,
*,
Text: str,
LanguageCode: LanguageCodeType, # (1)
) -> DetectTargetedSentimentResponseTypeDef: # (2)
...
kwargs: DetectTargetedSentimentRequestRequestTypeDef = { # (1)
"Text": ...,
"LanguageCode": ...,
}
parent.detect_targeted_sentiment(**kwargs)
generate_presigned_url
Generate a presigned url given a client, its method, and arguments.
Type annotations and code completion for boto3.client("comprehend").generate_presigned_url
method.
boto3 documentation
def generate_presigned_url(
self,
ClientMethod: str,
Params: Mapping[str, Any] = ...,
ExpiresIn: int = 3600,
HttpMethod: str = ...,
) -> str:
...
import_model
Creates a new custom model that replicates a source custom model that you import.
Type annotations and code completion for boto3.client("comprehend").import_model
method.
boto3 documentation
def import_model(
self,
*,
SourceModelArn: str,
ModelName: str = ...,
VersionName: str = ...,
ModelKmsKeyId: str = ...,
DataAccessRoleArn: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (1)
) -> ImportModelResponseTypeDef: # (2)
...
- See TagTypeDef
- See ImportModelResponseTypeDef
kwargs: ImportModelRequestRequestTypeDef = { # (1)
"SourceModelArn": ...,
}
parent.import_model(**kwargs)
list_document_classification_jobs
Gets a list of the documentation classification jobs that you have submitted.
Type annotations and code completion for boto3.client("comprehend").list_document_classification_jobs
method.
boto3 documentation
def list_document_classification_jobs(
self,
*,
Filter: DocumentClassificationJobFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListDocumentClassificationJobsResponseTypeDef: # (2)
...
kwargs: ListDocumentClassificationJobsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_document_classification_jobs(**kwargs)
list_document_classifier_summaries
Gets a list of summaries of the document classifiers that you have created See also: AWS API Documentation.
Type annotations and code completion for boto3.client("comprehend").list_document_classifier_summaries
method.
boto3 documentation
def list_document_classifier_summaries(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
) -> ListDocumentClassifierSummariesResponseTypeDef: # (1)
...
kwargs: ListDocumentClassifierSummariesRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_document_classifier_summaries(**kwargs)
list_document_classifiers
Gets a list of the document classifiers that you have created.
Type annotations and code completion for boto3.client("comprehend").list_document_classifiers
method.
boto3 documentation
def list_document_classifiers(
self,
*,
Filter: DocumentClassifierFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListDocumentClassifiersResponseTypeDef: # (2)
...
kwargs: ListDocumentClassifiersRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_document_classifiers(**kwargs)
list_dominant_language_detection_jobs
Gets a list of the dominant language detection jobs that you have submitted.
Type annotations and code completion for boto3.client("comprehend").list_dominant_language_detection_jobs
method.
boto3 documentation
def list_dominant_language_detection_jobs(
self,
*,
Filter: DominantLanguageDetectionJobFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListDominantLanguageDetectionJobsResponseTypeDef: # (2)
...
kwargs: ListDominantLanguageDetectionJobsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_dominant_language_detection_jobs(**kwargs)
list_endpoints
Gets a list of all existing endpoints that you've created.
Type annotations and code completion for boto3.client("comprehend").list_endpoints
method.
boto3 documentation
def list_endpoints(
self,
*,
Filter: EndpointFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListEndpointsResponseTypeDef: # (2)
...
kwargs: ListEndpointsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_endpoints(**kwargs)
list_entities_detection_jobs
Gets a list of the entity detection jobs that you have submitted.
Type annotations and code completion for boto3.client("comprehend").list_entities_detection_jobs
method.
boto