| augmentedairuntime | Amazon Augmented AI Runtime |
| augmentedairuntime_delete_human_loop | Deletes the specified human loop for a flow definition |
| augmentedairuntime_describe_human_loop | Returns information about the specified human loop |
| augmentedairuntime_list_human_loops | Returns information about human loops, given the specified... |
| augmentedairuntime_start_human_loop | Starts a human loop, provided that at least one activation... |
| augmentedairuntime_stop_human_loop | Stops the specified human loop |
| comprehend | Amazon Comprehend |
| comprehend_batch_detect_dominant_language | Determines the dominant language of the input text for a... |
| comprehend_batch_detect_entities | Inspects the text of a batch of documents for named entities... |
| comprehend_batch_detect_key_phrases | Detects the key noun phrases found in a batch of documents |
| comprehend_batch_detect_sentiment | Inspects a batch of documents and returns an inference of the... |
| comprehend_batch_detect_syntax | Inspects the text of a batch of documents for the syntax and... |
| comprehend_classify_document | Creates a new document classification request to analyze a... |
| comprehend_contains_pii_entities | Analyzes input text for the presence of personally... |
| comprehend_create_document_classifier | Creates a new document classifier that you can use to... |
| comprehend_create_endpoint | Creates a model-specific endpoint for synchronous inference... |
| comprehend_create_entity_recognizer | Creates an entity recognizer using submitted files |
| comprehend_delete_document_classifier | Deletes a previously created document classifier |
| comprehend_delete_endpoint | Deletes a model-specific endpoint for a previously-trained... |
| comprehend_delete_entity_recognizer | Deletes an entity recognizer |
| comprehend_delete_resource_policy | Deletes a resource-based policy that is attached to a custom... |
| comprehend_describe_document_classification_job | Gets the properties associated with a document classification... |
| comprehend_describe_document_classifier | Gets the properties associated with a document classifier |
| comprehend_describe_dominant_language_detection_job | Gets the properties associated with a dominant language... |
| comprehend_describe_endpoint | Gets the properties associated with a specific endpoint |
| comprehend_describe_entities_detection_job | Gets the properties associated with an entities detection job |
| comprehend_describe_entity_recognizer | Provides details about an entity recognizer including status,... |
| comprehend_describe_events_detection_job | Gets the status and details of an events detection job |
| comprehend_describe_key_phrases_detection_job | Gets the properties associated with a key phrases detection... |
| comprehend_describe_pii_entities_detection_job | Gets the properties associated with a PII entities detection... |
| comprehend_describe_resource_policy | Gets the details of a resource-based policy that is attached... |
| comprehend_describe_sentiment_detection_job | Gets the properties associated with a sentiment detection job |
| comprehend_describe_targeted_sentiment_detection_job | Gets the properties associated with a targeted sentiment... |
| comprehend_describe_topics_detection_job | Gets the properties associated with a topic detection job |
| comprehend_detect_dominant_language | Determines the dominant language of the input text |
| comprehend_detect_entities | Inspects text for named entities, and returns information... |
| comprehend_detect_key_phrases | Detects the key noun phrases found in the text |
| comprehend_detect_pii_entities | Inspects the input text for entities that contain personally... |
| comprehend_detect_sentiment | Inspects text and returns an inference of the prevailing... |
| comprehend_detect_syntax | Inspects text for syntax and the part of speech of words in... |
| comprehend_import_model | Creates a new custom model that replicates a source custom... |
| comprehend_list_document_classification_jobs | Gets a list of the documentation classification jobs that you... |
| comprehend_list_document_classifiers | Gets a list of the document classifiers that you have created |
| comprehend_list_document_classifier_summaries | Gets a list of summaries of the document classifiers that you... |
| comprehend_list_dominant_language_detection_jobs | Gets a list of the dominant language detection jobs that you... |
| comprehend_list_endpoints | Gets a list of all existing endpoints that you've created |
| comprehend_list_entities_detection_jobs | Gets a list of the entity detection jobs that you have... |
| comprehend_list_entity_recognizers | Gets a list of the properties of all entity recognizers that... |
| comprehend_list_entity_recognizer_summaries | Gets a list of summaries for the entity recognizers that you... |
| comprehend_list_events_detection_jobs | Gets a list of the events detection jobs that you have... |
| comprehend_list_key_phrases_detection_jobs | Get a list of key phrase detection jobs that you have... |
| comprehend_list_pii_entities_detection_jobs | Gets a list of the PII entity detection jobs that you have... |
| comprehend_list_sentiment_detection_jobs | Gets a list of sentiment detection jobs that you have... |
| comprehend_list_tags_for_resource | Lists all tags associated with a given Amazon Comprehend... |
| comprehend_list_targeted_sentiment_detection_jobs | Gets a list of targeted sentiment detection jobs that you... |
| comprehend_list_topics_detection_jobs | Gets a list of the topic detection jobs that you have... |
| comprehendmedical | AWS Comprehend Medical |
| comprehendmedical_describe_entities_detection_v2_job | Gets the properties associated with a medical entities... |
| comprehendmedical_describe_icd10cm_inference_job | Gets the properties associated with an InferICD10CM job |
| comprehendmedical_describe_phi_detection_job | Gets the properties associated with a protected health... |
| comprehendmedical_describe_rx_norm_inference_job | Gets the properties associated with an InferRxNorm job |
| comprehendmedical_describe_snomedct_inference_job | Gets the properties associated with an InferSNOMEDCT job |
| comprehendmedical_detect_entities | The DetectEntities operation is deprecated |
| comprehendmedical_detect_entities_v2 | Inspects the clinical text for a variety of medical entities... |
| comprehendmedical_detect_phi | Inspects the clinical text for protected health information... |
| comprehendmedical_infer_icd10cm | InferICD10CM detects medical conditions as entities listed in... |
| comprehendmedical_infer_rx_norm | InferRxNorm detects medications as entities listed in a... |
| comprehendmedical_infer_snomedct | InferSNOMEDCT detects possible medical concepts as entities... |
| comprehendmedical_list_entities_detection_v2_jobs | Gets a list of medical entity detection jobs that you have... |
| comprehendmedical_list_icd10cm_inference_jobs | Gets a list of InferICD10CM jobs that you have submitted |
| comprehendmedical_list_phi_detection_jobs | Gets a list of protected health information (PHI) detection... |
| comprehendmedical_list_rx_norm_inference_jobs | Gets a list of InferRxNorm jobs that you have submitted |
| comprehendmedical_list_snomedct_inference_jobs | Gets a list of InferSNOMEDCT jobs a user has submitted |
| comprehendmedical_start_entities_detection_v2_job | Starts an asynchronous medical entity detection job for a... |
| comprehendmedical_start_icd10cm_inference_job | Starts an asynchronous job to detect medical conditions and... |
| comprehendmedical_start_phi_detection_job | Starts an asynchronous job to detect protected health... |
| comprehendmedical_start_rx_norm_inference_job | Starts an asynchronous job to detect medication entities and... |
| comprehendmedical_start_snomedct_inference_job | Starts an asynchronous job to detect medical concepts and... |
| comprehendmedical_stop_entities_detection_v2_job | Stops a medical entities detection job in progress |
| comprehendmedical_stop_icd10cm_inference_job | Stops an InferICD10CM inference job in progress |
| comprehendmedical_stop_phi_detection_job | Stops a protected health information (PHI) detection job in... |
| comprehendmedical_stop_rx_norm_inference_job | Stops an InferRxNorm inference job in progress |
| comprehendmedical_stop_snomedct_inference_job | Stops an InferSNOMEDCT inference job in progress |
| comprehend_put_resource_policy | Attaches a resource-based policy to a custom model |
| comprehend_start_document_classification_job | Starts an asynchronous document classification job |
| comprehend_start_dominant_language_detection_job | Starts an asynchronous dominant language detection job for a... |
| comprehend_start_entities_detection_job | Starts an asynchronous entity detection job for a collection... |
| comprehend_start_events_detection_job | Starts an asynchronous event detection job for a collection... |
| comprehend_start_key_phrases_detection_job | Starts an asynchronous key phrase detection job for a... |
| comprehend_start_pii_entities_detection_job | Starts an asynchronous PII entity detection job for a... |
| comprehend_start_sentiment_detection_job | Starts an asynchronous sentiment detection job for a... |
| comprehend_start_targeted_sentiment_detection_job | Starts an asynchronous targeted sentiment detection job for a... |
| comprehend_start_topics_detection_job | Starts an asynchronous topic detection job |
| comprehend_stop_dominant_language_detection_job | Stops a dominant language detection job in progress |
| comprehend_stop_entities_detection_job | Stops an entities detection job in progress |
| comprehend_stop_events_detection_job | Stops an events detection job in progress |
| comprehend_stop_key_phrases_detection_job | Stops a key phrases detection job in progress |
| comprehend_stop_pii_entities_detection_job | Stops a PII entities detection job in progress |
| comprehend_stop_sentiment_detection_job | Stops a sentiment detection job in progress |
| comprehend_stop_targeted_sentiment_detection_job | Stops a targeted sentiment detection job in progress |
| comprehend_stop_training_document_classifier | Stops a document classifier training job while in progress |
| comprehend_stop_training_entity_recognizer | Stops an entity recognizer training job while in progress |
| comprehend_tag_resource | Associates a specific tag with an Amazon Comprehend resource |
| comprehend_untag_resource | Removes a specific tag associated with an Amazon Comprehend... |
| comprehend_update_endpoint | Updates information about the specified endpoint |
| elasticinference | Amazon Elastic Inference |
| elasticinference_describe_accelerator_offerings | Describes the locations in which a given accelerator type or... |
| elasticinference_describe_accelerators | Describes information over a provided set of accelerators... |
| elasticinference_describe_accelerator_types | Describes the accelerator types available in a given region,... |
| elasticinference_list_tags_for_resource | Returns all tags of an Elastic Inference Accelerator |
| elasticinference_tag_resource | Adds the specified tags to an Elastic Inference Accelerator |
| elasticinference_untag_resource | Removes the specified tags from an Elastic Inference... |
| forecastqueryservice | Amazon Forecast Query Service |
| forecastqueryservice_query_forecast | Retrieves a forecast for a single item, filtered by the... |
| forecastservice | Amazon Forecast Service |
| forecastservice_create_auto_predictor | Creates an Amazon Forecast predictor |
| forecastservice_create_dataset | Creates an Amazon Forecast dataset |
| forecastservice_create_dataset_group | Creates a dataset group, which holds a collection of related... |
| forecastservice_create_dataset_import_job | Imports your training data to an Amazon Forecast dataset |
| forecastservice_create_explainability | Explainability is only available for Forecasts and Predictors... |
| forecastservice_create_explainability_export | Exports an Explainability resource created by the... |
| forecastservice_create_forecast | Creates a forecast for each item in the TARGET_TIME_SERIES... |
| forecastservice_create_forecast_export_job | Exports a forecast created by the CreateForecast operation to... |
| forecastservice_create_monitor | Creates a predictor monitor resource for an existing auto... |
| forecastservice_create_predictor | This operation creates a legacy predictor that does not... |
| forecastservice_create_predictor_backtest_export_job | Exports backtest forecasts and accuracy metrics generated by... |
| forecastservice_delete_dataset | Deletes an Amazon Forecast dataset that was created using the... |
| forecastservice_delete_dataset_group | Deletes a dataset group created using the CreateDatasetGroup... |
| forecastservice_delete_dataset_import_job | Deletes a dataset import job created using the... |
| forecastservice_delete_explainability | Deletes an Explainability resource |
| forecastservice_delete_explainability_export | Deletes an Explainability export |
| forecastservice_delete_forecast | Deletes a forecast created using the CreateForecast operation |
| forecastservice_delete_forecast_export_job | Deletes a forecast export job created using the... |
| forecastservice_delete_monitor | Deletes a monitor resource |
| forecastservice_delete_predictor | Deletes a predictor created using the DescribePredictor or... |
| forecastservice_delete_predictor_backtest_export_job | Deletes a predictor backtest export job |
| forecastservice_delete_resource_tree | Deletes an entire resource tree |
| forecastservice_describe_auto_predictor | Describes a predictor created using the CreateAutoPredictor... |
| forecastservice_describe_dataset | Describes an Amazon Forecast dataset created using the... |
| forecastservice_describe_dataset_group | Describes a dataset group created using the... |
| forecastservice_describe_dataset_import_job | Describes a dataset import job created using the... |
| forecastservice_describe_explainability | Describes an Explainability resource created using the... |
| forecastservice_describe_explainability_export | Describes an Explainability export created using the... |
| forecastservice_describe_forecast | Describes a forecast created using the CreateForecast... |
| forecastservice_describe_forecast_export_job | Describes a forecast export job created using the... |
| forecastservice_describe_monitor | Describes a monitor resource |
| forecastservice_describe_predictor | This operation is only valid for legacy predictors created... |
| forecastservice_describe_predictor_backtest_export_job | Describes a predictor backtest export job created using the... |
| forecastservice_get_accuracy_metrics | Provides metrics on the accuracy of the models that were... |
| forecastservice_list_dataset_groups | Returns a list of dataset groups created using the... |
| forecastservice_list_dataset_import_jobs | Returns a list of dataset import jobs created using the... |
| forecastservice_list_datasets | Returns a list of datasets created using the CreateDataset... |
| forecastservice_list_explainabilities | Returns a list of Explainability resources created using the... |
| forecastservice_list_explainability_exports | Returns a list of Explainability exports created using the... |
| forecastservice_list_forecast_export_jobs | Returns a list of forecast export jobs created using the... |
| forecastservice_list_forecasts | Returns a list of forecasts created using the CreateForecast... |
| forecastservice_list_monitor_evaluations | Returns a list of the monitoring evaluation results and... |
| forecastservice_list_monitors | Returns a list of monitors created with the CreateMonitor... |
| forecastservice_list_predictor_backtest_export_jobs | Returns a list of predictor backtest export jobs created... |
| forecastservice_list_predictors | Returns a list of predictors created using the... |
| forecastservice_list_tags_for_resource | Lists the tags for an Amazon Forecast resource |
| forecastservice_resume_resource | Resumes a stopped monitor resource |
| forecastservice_stop_resource | Stops a resource |
| forecastservice_tag_resource | Associates the specified tags to a resource with the... |
| forecastservice_untag_resource | Deletes the specified tags from a resource |
| forecastservice_update_dataset_group | Replaces the datasets in a dataset group with the specified... |
| frauddetector | Amazon Fraud Detector |
| frauddetector_batch_create_variable | Creates a batch of variables |
| frauddetector_batch_get_variable | Gets a batch of variables |
| frauddetector_cancel_batch_import_job | Cancels an in-progress batch import job |
| frauddetector_cancel_batch_prediction_job | Cancels the specified batch prediction job |
| frauddetector_create_batch_import_job | Creates a batch import job |
| frauddetector_create_batch_prediction_job | Creates a batch prediction job |
| frauddetector_create_detector_version | Creates a detector version |
| frauddetector_create_model | Creates a model using the specified model type |
| frauddetector_create_model_version | Creates a version of the model using the specified model type... |
| frauddetector_create_rule | Creates a rule for use with the specified detector |
| frauddetector_create_variable | Creates a variable |
| frauddetector_delete_batch_import_job | Deletes the specified batch import job ID record |
| frauddetector_delete_batch_prediction_job | Deletes a batch prediction job |
| frauddetector_delete_detector | Deletes the detector |
| frauddetector_delete_detector_version | Deletes the detector version |
| frauddetector_delete_entity_type | Deletes an entity type |
| frauddetector_delete_event | Deletes the specified event |
| frauddetector_delete_events_by_event_type | Deletes all events of a particular event type |
| frauddetector_delete_event_type | Deletes an event type |
| frauddetector_delete_external_model | Removes a SageMaker model from Amazon Fraud Detector |
| frauddetector_delete_label | Deletes a label |
| frauddetector_delete_model | Deletes a model |
| frauddetector_delete_model_version | Deletes a model version |
| frauddetector_delete_outcome | Deletes an outcome |
| frauddetector_delete_rule | Deletes the rule |
| frauddetector_delete_variable | Deletes a variable |
| frauddetector_describe_detector | Gets all versions for a specified detector |
| frauddetector_describe_model_versions | Gets all of the model versions for the specified model type... |
| frauddetector_get_batch_import_jobs | Gets all batch import jobs or a specific job of the specified... |
| frauddetector_get_batch_prediction_jobs | Gets all batch prediction jobs or a specific job if you... |
| frauddetector_get_delete_events_by_event_type_status | Retrieves the status of a DeleteEventsByEventType action |
| frauddetector_get_detectors | Gets all detectors or a single detector if a detectorId is... |
| frauddetector_get_detector_version | Gets a particular detector version |
| frauddetector_get_entity_types | Gets all entity types or a specific entity type if a name is... |
| frauddetector_get_event | Retrieves details of events stored with Amazon Fraud Detector |
| frauddetector_get_event_prediction | Evaluates an event against a detector version |
| frauddetector_get_event_prediction_metadata | Gets details of the past fraud predictions for the specified... |
| frauddetector_get_event_types | Gets all event types or a specific event type if name is... |
| frauddetector_get_external_models | Gets the details for one or more Amazon SageMaker models that... |
| frauddetector_get_kms_encryption_key | Gets the encryption key if a KMS key has been specified to be... |
| frauddetector_get_labels | Gets all labels or a specific label if name is provided |
| frauddetector_get_models | Gets one or more models |
| frauddetector_get_model_version | Gets the details of the specified model version |
| frauddetector_get_outcomes | Gets one or more outcomes |
| frauddetector_get_rules | Get all rules for a detector (paginated) if ruleId and... |
| frauddetector_get_variables | Gets all of the variables or the specific variable |
| frauddetector_list_event_predictions | Gets a list of past predictions |
| frauddetector_list_tags_for_resource | Lists all tags associated with the resource |
| frauddetector_put_detector | Creates or updates a detector |
| frauddetector_put_entity_type | Creates or updates an entity type |
| frauddetector_put_event_type | Creates or updates an event type |
| frauddetector_put_external_model | Creates or updates an Amazon SageMaker model endpoint |
| frauddetector_put_kms_encryption_key | Specifies the KMS key to be used to encrypt content in Amazon... |
| frauddetector_put_label | Creates or updates label |
| frauddetector_put_outcome | Creates or updates an outcome |
| frauddetector_send_event | Stores events in Amazon Fraud Detector without generating... |
| frauddetector_tag_resource | Assigns tags to a resource |
| frauddetector_untag_resource | Removes tags from a resource |
| frauddetector_update_detector_version | Updates a detector version |
| frauddetector_update_detector_version_metadata | Updates the detector version's description |
| frauddetector_update_detector_version_status | Updates the detector version’s status |
| frauddetector_update_event_label | Updates the specified event with a new label |
| frauddetector_update_model | Updates model description |
| frauddetector_update_model_version | Updates a model version |
| frauddetector_update_model_version_status | Updates the status of a model version |
| frauddetector_update_rule_metadata | Updates a rule's metadata |
| frauddetector_update_rule_version | Updates a rule version resulting in a new rule version |
| frauddetector_update_variable | Updates a variable |
| lexmodelbuildingservice | Amazon Lex Model Building Service |
| lexmodelbuildingservice_create_bot_version | Creates a new version of the bot based on the $LATEST version |
| lexmodelbuildingservice_create_intent_version | Creates a new version of an intent based on the $LATEST... |
| lexmodelbuildingservice_create_slot_type_version | Creates a new version of a slot type based on the $LATEST... |
| lexmodelbuildingservice_delete_bot | Deletes all versions of the bot, including the $LATEST... |
| lexmodelbuildingservice_delete_bot_alias | Deletes an alias for the specified bot |
| lexmodelbuildingservice_delete_bot_channel_association | Deletes the association between an Amazon Lex bot and a... |
| lexmodelbuildingservice_delete_bot_version | Deletes a specific version of a bot |
| lexmodelbuildingservice_delete_intent | Deletes all versions of the intent, including the $LATEST... |
| lexmodelbuildingservice_delete_intent_version | Deletes a specific version of an intent |
| lexmodelbuildingservice_delete_slot_type | Deletes all versions of the slot type, including the $LATEST... |
| lexmodelbuildingservice_delete_slot_type_version | Deletes a specific version of a slot type |
| lexmodelbuildingservice_delete_utterances | Deletes stored utterances |
| lexmodelbuildingservice_get_bot | Returns metadata information for a specific bot |
| lexmodelbuildingservice_get_bot_alias | Returns information about an Amazon Lex bot alias |
| lexmodelbuildingservice_get_bot_aliases | Returns a list of aliases for a specified Amazon Lex bot |
| lexmodelbuildingservice_get_bot_channel_association | Returns information about the association between an Amazon... |
| lexmodelbuildingservice_get_bot_channel_associations | Returns a list of all of the channels associated with the... |
| lexmodelbuildingservice_get_bots | Returns bot information as follows: |
| lexmodelbuildingservice_get_bot_versions | Gets information about all of the versions of a bot |
| lexmodelbuildingservice_get_builtin_intent | Returns information about a built-in intent |
| lexmodelbuildingservice_get_builtin_intents | Gets a list of built-in intents that meet the specified... |
| lexmodelbuildingservice_get_builtin_slot_types | Gets a list of built-in slot types that meet the specified... |
| lexmodelbuildingservice_get_export | Exports the contents of a Amazon Lex resource in a specified... |
| lexmodelbuildingservice_get_import | Gets information about an import job started with the... |
| lexmodelbuildingservice_get_intent | Returns information about an intent |
| lexmodelbuildingservice_get_intents | Returns intent information as follows: |
| lexmodelbuildingservice_get_intent_versions | Gets information about all of the versions of an intent |
| lexmodelbuildingservice_get_migration | Provides details about an ongoing or complete migration from... |
| lexmodelbuildingservice_get_migrations | Gets a list of migrations between Amazon Lex V1 and Amazon... |
| lexmodelbuildingservice_get_slot_type | Returns information about a specific version of a slot type |
| lexmodelbuildingservice_get_slot_types | Returns slot type information as follows: |
| lexmodelbuildingservice_get_slot_type_versions | Gets information about all versions of a slot type |
| lexmodelbuildingservice_get_utterances_view | Use the GetUtterancesView operation to get information about... |
| lexmodelbuildingservice_list_tags_for_resource | Gets a list of tags associated with the specified resource |
| lexmodelbuildingservice_put_bot | Creates an Amazon Lex conversational bot or replaces an... |
| lexmodelbuildingservice_put_bot_alias | Creates an alias for the specified version of the bot or... |
| lexmodelbuildingservice_put_intent | Creates an intent or replaces an existing intent |
| lexmodelbuildingservice_put_slot_type | Creates a custom slot type or replaces an existing custom... |
| lexmodelbuildingservice_start_import | Starts a job to import a resource to Amazon Lex |
| lexmodelbuildingservice_start_migration | Starts migrating a bot from Amazon Lex V1 to Amazon Lex V2 |
| lexmodelbuildingservice_tag_resource | Adds the specified tags to the specified resource |
| lexmodelbuildingservice_untag_resource | Removes tags from a bot, bot alias or bot channel |
| lexmodelsv2 | Amazon Lex Model Building V2 |
| lexmodelsv2_build_bot_locale | Builds a bot, its intents, and its slot types into a specific... |
| lexmodelsv2_create_bot | Creates an Amazon Lex conversational bot |
| lexmodelsv2_create_bot_alias | Creates an alias for the specified version of a bot |
| lexmodelsv2_create_bot_locale | Creates a locale in the bot |
| lexmodelsv2_create_bot_version | Creates a new version of the bot based on the DRAFT version |
| lexmodelsv2_create_export | Creates a zip archive containing the contents of a bot or a... |
| lexmodelsv2_create_intent | Creates an intent |
| lexmodelsv2_create_resource_policy | Creates a new resource policy with the specified policy... |
| lexmodelsv2_create_resource_policy_statement | Adds a new resource policy statement to a bot or bot alias |
| lexmodelsv2_create_slot | Creates a slot in an intent |
| lexmodelsv2_create_slot_type | Creates a custom slot type |
| lexmodelsv2_create_upload_url | Gets a pre-signed S3 write URL that you use to upload the zip... |
| lexmodelsv2_delete_bot | Deletes all versions of a bot, including the Draft version |
| lexmodelsv2_delete_bot_alias | Deletes the specified bot alias |
| lexmodelsv2_delete_bot_locale | Removes a locale from a bot |
| lexmodelsv2_delete_bot_version | Deletes a specific version of a bot |
| lexmodelsv2_delete_custom_vocabulary | Removes a custom vocabulary from the specified locale in the... |
| lexmodelsv2_delete_export | Removes a previous export and the associated files stored in... |
| lexmodelsv2_delete_import | Removes a previous import and the associated file stored in... |
| lexmodelsv2_delete_intent | Removes the specified intent |
| lexmodelsv2_delete_resource_policy | Removes an existing policy from a bot or bot alias |
| lexmodelsv2_delete_resource_policy_statement | Deletes a policy statement from a resource policy |
| lexmodelsv2_delete_slot | Deletes the specified slot from an intent |
| lexmodelsv2_delete_slot_type | Deletes a slot type from a bot locale |
| lexmodelsv2_delete_utterances | Deletes stored utterances |
| lexmodelsv2_describe_bot | Provides metadata information about a bot |
| lexmodelsv2_describe_bot_alias | Get information about a specific bot alias |
| lexmodelsv2_describe_bot_locale | Describes the settings that a bot has for a specific locale |
| lexmodelsv2_describe_bot_recommendation | Provides metadata information about a bot recommendation |
| lexmodelsv2_describe_bot_version | Provides metadata about a version of a bot |
| lexmodelsv2_describe_custom_vocabulary_metadata | Provides metadata information about a custom vocabulary |
| lexmodelsv2_describe_export | Gets information about a specific export |
| lexmodelsv2_describe_import | Gets information about a specific import |
| lexmodelsv2_describe_intent | Returns metadata about an intent |
| lexmodelsv2_describe_resource_policy | Gets the resource policy and policy revision for a bot or bot... |
| lexmodelsv2_describe_slot | Gets metadata information about a slot |
| lexmodelsv2_describe_slot_type | Gets metadata information about a slot type |
| lexmodelsv2_list_aggregated_utterances | Provides a list of utterances that users have sent to the bot |
| lexmodelsv2_list_bot_aliases | Gets a list of aliases for the specified bot |
| lexmodelsv2_list_bot_locales | Gets a list of locales for the specified bot |
| lexmodelsv2_list_bot_recommendations | Get a list of bot recommendations that meet the specified... |
| lexmodelsv2_list_bots | Gets a list of available bots |
| lexmodelsv2_list_bot_versions | Gets information about all of the versions of a bot |
| lexmodelsv2_list_built_in_intents | Gets a list of built-in intents provided by Amazon Lex that... |
| lexmodelsv2_list_built_in_slot_types | Gets a list of built-in slot types that meet the specified... |
| lexmodelsv2_list_exports | Lists the exports for a bot, bot locale, or custom vocabulary |
| lexmodelsv2_list_imports | Lists the imports for a bot, bot locale, or custom vocabulary |
| lexmodelsv2_list_intents | Get a list of intents that meet the specified criteria |
| lexmodelsv2_list_recommended_intents | Gets a list of recommended intents provided by the bot... |
| lexmodelsv2_list_slots | Gets a list of slots that match the specified criteria |
| lexmodelsv2_list_slot_types | Gets a list of slot types that match the specified criteria |
| lexmodelsv2_list_tags_for_resource | Gets a list of tags associated with a resource |
| lexmodelsv2_search_associated_transcripts | Search for associated transcripts that meet the specified... |
| lexmodelsv2_start_bot_recommendation | Use this to provide your transcript data, and to start the... |
| lexmodelsv2_start_import | Starts importing a bot, bot locale, or custom vocabulary from... |
| lexmodelsv2_tag_resource | Adds the specified tags to the specified resource |
| lexmodelsv2_untag_resource | Removes tags from a bot, bot alias, or bot channel |
| lexmodelsv2_update_bot | Updates the configuration of an existing bot |
| lexmodelsv2_update_bot_alias | Updates the configuration of an existing bot alias |
| lexmodelsv2_update_bot_locale | Updates the settings that a bot has for a specific locale |
| lexmodelsv2_update_bot_recommendation | Updates an existing bot recommendation request |
| lexmodelsv2_update_export | Updates the password used to protect an export zip archive |
| lexmodelsv2_update_intent | Updates the settings for an intent |
| lexmodelsv2_update_resource_policy | Replaces the existing resource policy for a bot or bot alias... |
| lexmodelsv2_update_slot | Updates the settings for a slot |
| lexmodelsv2_update_slot_type | Updates the configuration of an existing slot type |
| lexruntimeservice | Amazon Lex Runtime Service |
| lexruntimeservice_delete_session | Removes session information for a specified bot, alias, and... |
| lexruntimeservice_get_session | Returns session information for a specified bot, alias, and... |
| lexruntimeservice_post_content | Sends user input (text or speech) to Amazon Lex |
| lexruntimeservice_post_text | Sends user input to Amazon Lex |
| lexruntimeservice_put_session | Creates a new session or modifies an existing session with an... |
| lexruntimev2 | Amazon Lex Runtime V2 |
| lexruntimev2_delete_session | Removes session information for a specified bot, alias, and... |
| lexruntimev2_get_session | Returns session information for a specified bot, alias, and... |
| lexruntimev2_put_session | Creates a new session or modifies an existing session with an... |
| lexruntimev2_recognize_text | Sends user input to Amazon Lex V2 |
| lexruntimev2_recognize_utterance | Sends user input to Amazon Lex V2 |
| lookoutequipment | Amazon Lookout for Equipment |
| lookoutequipment_create_dataset | Creates a container for a collection of data being ingested... |
| lookoutequipment_create_inference_scheduler | Creates a scheduled inference |
| lookoutequipment_create_model | Creates an ML model for data inference |
| lookoutequipment_delete_dataset | Deletes a dataset and associated artifacts |
| lookoutequipment_delete_inference_scheduler | Deletes an inference scheduler that has been set up |
| lookoutequipment_delete_model | Deletes an ML model currently available for Amazon Lookout... |
| lookoutequipment_describe_data_ingestion_job | Provides information on a specific data ingestion job such as... |
| lookoutequipment_describe_dataset | Provides a JSON description of the data in each time series... |
| lookoutequipment_describe_inference_scheduler | Specifies information about the inference scheduler being... |
| lookoutequipment_describe_model | Provides a JSON containing the overall information about a... |
| lookoutequipment_list_data_ingestion_jobs | Provides a list of all data ingestion jobs, including dataset... |
| lookoutequipment_list_datasets | Lists all datasets currently available in your account,... |
| lookoutequipment_list_inference_events | Lists all inference events that have been found for the... |
| lookoutequipment_list_inference_executions | Lists all inference executions that have been performed by... |
| lookoutequipment_list_inference_schedulers | Retrieves a list of all inference schedulers currently... |
| lookoutequipment_list_models | Generates a list of all models in the account, including... |
| lookoutequipment_list_sensor_statistics | Lists statistics about the data collected for each of the... |
| lookoutequipment_list_tags_for_resource | Lists all the tags for a specified resource, including key... |
| lookoutequipment_start_data_ingestion_job | Starts a data ingestion job |
| lookoutequipment_start_inference_scheduler | Starts an inference scheduler |
| lookoutequipment_stop_inference_scheduler | Stops an inference scheduler |
| lookoutequipment_tag_resource | Associates a given tag to a resource in your account |
| lookoutequipment_untag_resource | Removes a specific tag from a given resource |
| lookoutequipment_update_inference_scheduler | Updates an inference scheduler |
| lookoutmetrics | Amazon Lookout for Metrics |
| lookoutmetrics_activate_anomaly_detector | Activates an anomaly detector |
| lookoutmetrics_back_test_anomaly_detector | Runs a backtest for anomaly detection for the specified... |
| lookoutmetrics_create_alert | Creates an alert for an anomaly detector |
| lookoutmetrics_create_anomaly_detector | Creates an anomaly detector |
| lookoutmetrics_create_metric_set | Creates a dataset |
| lookoutmetrics_deactivate_anomaly_detector | Deactivates an anomaly detector |
| lookoutmetrics_delete_alert | Deletes an alert |
| lookoutmetrics_delete_anomaly_detector | Deletes a detector |
| lookoutmetrics_describe_alert | Describes an alert |
| lookoutmetrics_describe_anomaly_detection_executions | Returns information about the status of the specified anomaly... |
| lookoutmetrics_describe_anomaly_detector | Describes a detector |
| lookoutmetrics_describe_metric_set | Describes a dataset |
| lookoutmetrics_detect_metric_set_config | Detects an Amazon S3 dataset's file format, interval, and... |
| lookoutmetrics_get_anomaly_group | Returns details about a group of anomalous metrics |
| lookoutmetrics_get_feedback | Get feedback for an anomaly group |
| lookoutmetrics_get_sample_data | Returns a selection of sample records from an Amazon S3... |
| lookoutmetrics_list_alerts | Lists the alerts attached to a detector |
| lookoutmetrics_list_anomaly_detectors | Lists the detectors in the current AWS Region |
| lookoutmetrics_list_anomaly_group_related_metrics | Returns a list of measures that are potential causes or... |
| lookoutmetrics_list_anomaly_group_summaries | Returns a list of anomaly groups |
| lookoutmetrics_list_anomaly_group_time_series | Gets a list of anomalous metrics for a measure in an anomaly... |
| lookoutmetrics_list_metric_sets | Lists the datasets in the current AWS Region |
| lookoutmetrics_list_tags_for_resource | Gets a list of tags for a detector, dataset, or alert |
| lookoutmetrics_put_feedback | Add feedback for an anomalous metric |
| lookoutmetrics_tag_resource | Adds tags to a detector, dataset, or alert |
| lookoutmetrics_untag_resource | Removes tags from a detector, dataset, or alert |
| lookoutmetrics_update_alert | Make changes to an existing alert |
| lookoutmetrics_update_anomaly_detector | Updates a detector |
| lookoutmetrics_update_metric_set | Updates a dataset |
| machinelearning | Amazon Machine Learning |
| machinelearning_add_tags | Adds one or more tags to an object, up to a limit of 10 |
| machinelearning_create_batch_prediction | Generates predictions for a group of observations |
| machinelearning_create_data_source_from_rds | Creates a DataSource object from an Amazon Relational... |
| machinelearning_create_data_source_from_redshift | Creates a DataSource from a database hosted on an Amazon... |
| machinelearning_create_data_source_from_s3 | Creates a DataSource object |
| machinelearning_create_evaluation | Creates a new Evaluation of an MLModel |
| machinelearning_create_ml_model | Creates a new MLModel using the DataSource and the recipe as... |
| machinelearning_create_realtime_endpoint | Creates a real-time endpoint for the MLModel |
| machinelearning_delete_batch_prediction | Assigns the DELETED status to a BatchPrediction, rendering it... |
| machinelearning_delete_data_source | Assigns the DELETED status to a DataSource, rendering it... |
| machinelearning_delete_evaluation | Assigns the DELETED status to an Evaluation, rendering it... |
| machinelearning_delete_ml_model | Assigns the DELETED status to an MLModel, rendering it... |
| machinelearning_delete_realtime_endpoint | Deletes a real time endpoint of an MLModel |
| machinelearning_delete_tags | Deletes the specified tags associated with an ML object |
| machinelearning_describe_batch_predictions | Returns a list of BatchPrediction operations that match the... |
| machinelearning_describe_data_sources | Returns a list of DataSource that match the search criteria... |
| machinelearning_describe_evaluations | Returns a list of DescribeEvaluations that match the search... |
| machinelearning_describe_ml_models | Returns a list of MLModel that match the search criteria in... |
| machinelearning_describe_tags | Describes one or more of the tags for your Amazon ML object |
| machinelearning_get_batch_prediction | Returns a BatchPrediction that includes detailed metadata,... |
| machinelearning_get_data_source | Returns a DataSource that includes metadata and data file... |
| machinelearning_get_evaluation | Returns an Evaluation that includes metadata as well as the... |
| machinelearning_get_ml_model | Returns an MLModel that includes detailed metadata, data... |
| machinelearning_predict | Generates a prediction for the observation using the... |
| machinelearning_update_batch_prediction | Updates the BatchPredictionName of a BatchPrediction |
| machinelearning_update_data_source | Updates the DataSourceName of a DataSource |
| machinelearning_update_evaluation | Updates the EvaluationName of an Evaluation |
| machinelearning_update_ml_model | Updates the MLModelName and the ScoreThreshold of an MLModel |
| panorama | AWS Panorama |
| panorama_create_application_instance | Creates an application instance and deploys it to a device |
| panorama_create_job_for_devices | Creates a job to run on one or more devices |
| panorama_create_node_from_template_job | Creates a camera stream node |
| panorama_create_package | Creates a package and storage location in an Amazon S3 access... |
| panorama_create_package_import_job | Imports a node package |
| panorama_delete_device | Deletes a device |
| panorama_delete_package | Deletes a package |
| panorama_deregister_package_version | Deregisters a package version |
| panorama_describe_application_instance | Returns information about an application instance on a device |
| panorama_describe_application_instance_details | Returns information about an application instance's... |
| panorama_describe_device | Returns information about a device |
| panorama_describe_device_job | Returns information about a device job |
| panorama_describe_node | Returns information about a node |
| panorama_describe_node_from_template_job | Returns information about a job to create a camera stream... |
| panorama_describe_package | Returns information about a package |
| panorama_describe_package_import_job | Returns information about a package import job |
| panorama_describe_package_version | Returns information about a package version |
| panorama_list_application_instance_dependencies | Returns a list of application instance dependencies |
| panorama_list_application_instance_node_instances | Returns a list of application node instances |
| panorama_list_application_instances | Returns a list of application instances |
| panorama_list_devices | Returns a list of devices |
| panorama_list_devices_jobs | Returns a list of jobs |
| panorama_list_node_from_template_jobs | Returns a list of camera stream node jobs |
| panorama_list_nodes | Returns a list of nodes |
| panorama_list_package_import_jobs | Returns a list of package import jobs |
| panorama_list_packages | Returns a list of packages |
| panorama_list_tags_for_resource | Returns a list of tags for a resource |
| panorama_provision_device | Creates a device and returns a configuration archive |
| panorama_register_package_version | Registers a package version |
| panorama_remove_application_instance | Removes an application instance |
| panorama_tag_resource | Tags a resource |
| panorama_untag_resource | Removes tags from a resource |
| panorama_update_device_metadata | Updates a device's metadata |
| personalize | Amazon Personalize |
| personalize_create_batch_inference_job | Creates a batch inference job |
| personalize_create_batch_segment_job | Creates a batch segment job |
| personalize_create_campaign | Creates a campaign that deploys a solution version |
| personalize_create_dataset | Creates an empty dataset and adds it to the specified dataset... |
| personalize_create_dataset_export_job | Creates a job that exports data from your dataset to an... |
| personalize_create_dataset_group | Creates an empty dataset group |
| personalize_create_dataset_import_job | Creates a job that imports training data from your data... |
| personalize_create_event_tracker | Creates an event tracker that you use when adding event data... |
| personalize_create_filter | Creates a recommendation filter |
| personalize_create_recommender | Creates a recommender with the recipe (a Domain dataset group... |
| personalize_create_schema | Creates an Amazon Personalize schema from the specified... |
| personalize_create_solution | Creates the configuration for training a model |
| personalize_create_solution_version | Trains or retrains an active solution in a Custom dataset... |
| personalize_delete_campaign | Removes a campaign by deleting the solution deployment |
| personalize_delete_dataset | Deletes a dataset |
| personalize_delete_dataset_group | Deletes a dataset group |
| personalize_delete_event_tracker | Deletes the event tracker |
| personalize_delete_filter | Deletes a filter |
| personalize_delete_recommender | Deactivates and removes a recommender |
| personalize_delete_schema | Deletes a schema |
| personalize_delete_solution | Deletes all versions of a solution and the Solution object... |
| personalize_describe_algorithm | Describes the given algorithm |
| personalize_describe_batch_inference_job | Gets the properties of a batch inference job including name,... |
| personalize_describe_batch_segment_job | Gets the properties of a batch segment job including name,... |
| personalize_describe_campaign | Describes the given campaign, including its status |
| personalize_describe_dataset | Describes the given dataset |
| personalize_describe_dataset_export_job | Describes the dataset export job created by... |
| personalize_describe_dataset_group | Describes the given dataset group |
| personalize_describe_dataset_import_job | Describes the dataset import job created by... |
| personalize_describe_event_tracker | Describes an event tracker |
| personalize_describe_feature_transformation | Describes the given feature transformation |
| personalize_describe_filter | Describes a filter's properties |
| personalize_describe_recipe | Describes a recipe |
| personalize_describe_recommender | Describes the given recommender, including its status |
| personalize_describe_schema | Describes a schema |
| personalize_describe_solution | Describes a solution |
| personalize_describe_solution_version | Describes a specific version of a solution |
| personalizeevents | Amazon Personalize Events |
| personalizeevents_put_events | Records user interaction event data |
| personalizeevents_put_items | Adds one or more items to an Items dataset |
| personalizeevents_put_users | Adds one or more users to a Users dataset |
| personalize_get_solution_metrics | Gets the metrics for the specified solution version |
| personalize_list_batch_inference_jobs | Gets a list of the batch inference jobs that have been... |
| personalize_list_batch_segment_jobs | Gets a list of the batch segment jobs that have been... |
| personalize_list_campaigns | Returns a list of campaigns that use the given solution |
| personalize_list_dataset_export_jobs | Returns a list of dataset export jobs that use the given... |
| personalize_list_dataset_groups | Returns a list of dataset groups |
| personalize_list_dataset_import_jobs | Returns a list of dataset import jobs that use the given... |
| personalize_list_datasets | Returns the list of datasets contained in the given dataset... |
| personalize_list_event_trackers | Returns the list of event trackers associated with the... |
| personalize_list_filters | Lists all filters that belong to a given dataset group |
| personalize_list_recipes | Returns a list of available recipes |
| personalize_list_recommenders | Returns a list of recommenders in a given Domain dataset... |
| personalize_list_schemas | Returns the list of schemas associated with the account |
| personalize_list_solutions | Returns a list of solutions that use the given dataset group |
| personalize_list_solution_versions | Returns a list of solution versions for the given solution |
| personalize_list_tags_for_resource | Get a list of tags attached to a resource |
| personalizeruntime | Amazon Personalize Runtime |
| personalizeruntime_get_personalized_ranking | Re-ranks a list of recommended items for the given user |
| personalizeruntime_get_recommendations | Returns a list of recommended items |
| personalize_start_recommender | Starts a recommender that is INACTIVE |
| personalize_stop_recommender | Stops a recommender that is ACTIVE |
| personalize_stop_solution_version_creation | Stops creating a solution version that is in a state of... |
| personalize_tag_resource | Add a list of tags to a resource |
| personalize_untag_resource | Remove tags that are attached to a resource |
| personalize_update_campaign | Updates a campaign by either deploying a new solution or... |
| personalize_update_recommender | Updates the recommender to modify the recommender... |
| polly | Amazon Polly |
| polly_delete_lexicon | Deletes the specified pronunciation lexicon stored in an... |
| polly_describe_voices | Returns the list of voices that are available for use when... |
| polly_get_lexicon | Returns the content of the specified pronunciation lexicon... |
| polly_get_speech_synthesis_task | Retrieves a specific SpeechSynthesisTask object based on its... |
| polly_list_lexicons | Returns a list of pronunciation lexicons stored in an Amazon... |
| polly_list_speech_synthesis_tasks | Returns a list of SpeechSynthesisTask objects ordered by... |
| polly_put_lexicon | Stores a pronunciation lexicon in an Amazon Web Services... |
| polly_start_speech_synthesis_task | Allows the creation of an asynchronous synthesis task, by... |
| polly_synthesize_speech | Synthesizes UTF-8 input, plain text or SSML, to a stream of... |
| rekognition | Amazon Rekognition |
| rekognition_compare_faces | Compares a face in the source input image with each of the... |
| rekognition_create_collection | Creates a collection in an AWS Region |
| rekognition_create_dataset | Creates a new Amazon Rekognition Custom Labels dataset |
| rekognition_create_project | Creates a new Amazon Rekognition Custom Labels project |
| rekognition_create_project_version | Creates a new version of a model and begins training |
| rekognition_create_stream_processor | Creates an Amazon Rekognition stream processor that you can... |
| rekognition_delete_collection | Deletes the specified collection |
| rekognition_delete_dataset | Deletes an existing Amazon Rekognition Custom Labels dataset |
| rekognition_delete_faces | Deletes faces from a collection |
| rekognition_delete_project | Deletes an Amazon Rekognition Custom Labels project |
| rekognition_delete_project_version | Deletes an Amazon Rekognition Custom Labels model |
| rekognition_delete_stream_processor | Deletes the stream processor identified by Name |
| rekognition_describe_collection | Describes the specified collection |
| rekognition_describe_dataset | Describes an Amazon Rekognition Custom Labels dataset |
| rekognition_describe_projects | Gets information about your Amazon Rekognition Custom Labels... |
| rekognition_describe_project_versions | Lists and describes the versions of a model in an Amazon... |
| rekognition_describe_stream_processor | Provides information about a stream processor created by... |
| rekognition_detect_custom_labels | Detects custom labels in a supplied image by using an Amazon... |
| rekognition_detect_faces | Detects faces within an image that is provided as input |
| rekognition_detect_labels | Detects instances of real-world entities within an image... |
| rekognition_detect_moderation_labels | Detects unsafe content in a specified JPEG or PNG format... |
| rekognition_detect_protective_equipment | Detects Personal Protective Equipment (PPE) worn by people... |
| rekognition_detect_text | Detects text in the input image and converts it into... |
| rekognition_distribute_dataset_entries | Distributes the entries (images) in a training dataset across... |
| rekognition_get_celebrity_info | Gets the name and additional information about a celebrity... |
| rekognition_get_celebrity_recognition | Gets the celebrity recognition results for a Amazon... |
| rekognition_get_content_moderation | Gets the inappropriate, unwanted, or offensive content... |
| rekognition_get_face_detection | Gets face detection results for a Amazon Rekognition Video... |
| rekognition_get_face_search | Gets the face search results for Amazon Rekognition Video... |
| rekognition_get_label_detection | Gets the label detection results of a Amazon Rekognition... |
| rekognition_get_person_tracking | Gets the path tracking results of a Amazon Rekognition Video... |
| rekognition_get_segment_detection | Gets the segment detection results of a Amazon Rekognition... |
| rekognition_get_text_detection | Gets the text detection results of a Amazon Rekognition Video... |
| rekognition_index_faces | Detects faces in the input image and adds them to the... |
| rekognition_list_collections | Returns list of collection IDs in your account |
| rekognition_list_dataset_entries | Lists the entries (images) within a dataset |
| rekognition_list_dataset_labels | Lists the labels in a dataset |
| rekognition_list_faces | Returns metadata for faces in the specified collection |
| rekognition_list_stream_processors | Gets a list of stream processors that you have created with... |
| rekognition_list_tags_for_resource | Returns a list of tags in an Amazon Rekognition collection,... |
| rekognition_recognize_celebrities | Returns an array of celebrities recognized in the input image |
| rekognition_search_faces | For a given input face ID, searches for matching faces in the... |
| rekognition_search_faces_by_image | For a given input image, first detects the largest face in... |
| rekognition_start_celebrity_recognition | Starts asynchronous recognition of celebrities in a stored... |
| rekognition_start_content_moderation | Starts asynchronous detection of inappropriate, unwanted, or... |
| rekognition_start_face_detection | Starts asynchronous detection of faces in a stored video |
| rekognition_start_face_search | Starts the asynchronous search for faces in a collection that... |
| rekognition_start_label_detection | Starts asynchronous detection of labels in a stored video |
| rekognition_start_person_tracking | Starts the asynchronous tracking of a person's path in a... |
| rekognition_start_project_version | Starts the running of the version of a model |
| rekognition_start_segment_detection | Starts asynchronous detection of segment detection in a... |
| rekognition_start_stream_processor | Starts processing a stream processor |
| rekognition_start_text_detection | Starts asynchronous detection of text in a stored video |
| rekognition_stop_project_version | Stops a running model |
| rekognition_stop_stream_processor | Stops a running stream processor that was created by... |
| rekognition_tag_resource | Adds one or more key-value tags to an Amazon Rekognition... |
| rekognition_untag_resource | Removes one or more tags from an Amazon Rekognition... |
| rekognition_update_dataset_entries | Adds or updates one or more entries (images) in a dataset |
| rekognition_update_stream_processor | Allows you to update a stream processor |
| sagemaker | Amazon SageMaker Service |
| sagemaker_add_association | Creates an association between the source and the destination |
| sagemaker_add_tags | Adds or overwrites one or more tags for the specified... |
| sagemaker_associate_trial_component | Associates a trial component with a trial |
| sagemaker_batch_describe_model_package | This action batch describes a list of versioned model... |
| sagemaker_create_action | Creates an action |
| sagemaker_create_algorithm | Create a machine learning algorithm that you can use in... |
| sagemaker_create_app | Creates a running app for the specified UserProfile |
| sagemaker_create_app_image_config | Creates a configuration for running a SageMaker image as a... |
| sagemaker_create_artifact | Creates an artifact |
| sagemaker_create_auto_ml_job | Creates an Autopilot job |
| sagemaker_create_code_repository | Creates a Git repository as a resource in your SageMaker... |
| sagemaker_create_compilation_job | Starts a model compilation job |
| sagemaker_create_context | Creates a context |
| sagemaker_create_data_quality_job_definition | Creates a definition for a job that monitors data quality and... |
| sagemaker_create_device_fleet | Creates a device fleet |
| sagemaker_create_domain | Creates a Domain used by Amazon SageMaker Studio |
| sagemaker_create_edge_deployment_plan | Creates an edge deployment plan, consisting of multiple... |
| sagemaker_create_edge_deployment_stage | Creates a new stage in an existing edge deployment plan |
| sagemaker_create_edge_packaging_job | Starts a SageMaker Edge Manager model packaging job |
| sagemaker_create_endpoint | Creates an endpoint using the endpoint configuration... |
| sagemaker_create_endpoint_config | Creates an endpoint configuration that SageMaker hosting... |
| sagemaker_create_experiment | Creates an SageMaker experiment |
| sagemaker_create_feature_group | Create a new FeatureGroup |
| sagemaker_create_flow_definition | Creates a flow definition |
| sagemaker_create_human_task_ui | Defines the settings you will use for the human review... |
| sagemaker_create_hyper_parameter_tuning_job | Starts a hyperparameter tuning job |
| sagemaker_create_image | Creates a custom SageMaker image |
| sagemaker_create_image_version | Creates a version of the SageMaker image specified by... |
| sagemaker_create_inference_recommendations_job | Starts a recommendation job |
| sagemaker_create_labeling_job | Creates a job that uses workers to label the data objects in... |
| sagemaker_create_model | Creates a model in SageMaker |
| sagemaker_create_model_bias_job_definition | Creates the definition for a model bias job |
| sagemaker_create_model_explainability_job_definition | Creates the definition for a model explainability job |
| sagemaker_create_model_package | Creates a model package that you can use to create SageMaker... |
| sagemaker_create_model_package_group | Creates a model group |
| sagemaker_create_model_quality_job_definition | Creates a definition for a job that monitors model quality... |
| sagemaker_create_monitoring_schedule | Creates a schedule that regularly starts Amazon SageMaker... |
| sagemaker_create_notebook_instance | Creates an SageMaker notebook instance |
| sagemaker_create_notebook_instance_lifecycle_config | Creates a lifecycle configuration that you can associate with... |
| sagemaker_create_pipeline | Creates a pipeline using a JSON pipeline definition |
| sagemaker_create_presigned_domain_url | Creates a URL for a specified UserProfile in a Domain |
| sagemaker_create_presigned_notebook_instance_url | Returns a URL that you can use to connect to the Jupyter... |
| sagemaker_create_processing_job | Creates a processing job |
| sagemaker_create_project | Creates a machine learning (ML) project that can contain one... |
| sagemaker_create_studio_lifecycle_config | Creates a new Studio Lifecycle Configuration |
| sagemaker_create_training_job | Starts a model training job |
| sagemaker_create_transform_job | Starts a transform job |
| sagemaker_create_trial | Creates an SageMaker trial |
| sagemaker_create_trial_component | Creates a trial component, which is a stage of a machine... |
| sagemaker_create_user_profile | Creates a user profile |
| sagemaker_create_workforce | Use this operation to create a workforce |
| sagemaker_create_workteam | Creates a new work team for labeling your data |
| sagemaker_delete_action | Deletes an action |
| sagemaker_delete_algorithm | Removes the specified algorithm from your account |
| sagemaker_delete_app | Used to stop and delete an app |
| sagemaker_delete_app_image_config | Deletes an AppImageConfig |
| sagemaker_delete_artifact | Deletes an artifact |
| sagemaker_delete_association | Deletes an association |
| sagemaker_delete_code_repository | Deletes the specified Git repository from your account |
| sagemaker_delete_context | Deletes an context |
| sagemaker_delete_data_quality_job_definition | Deletes a data quality monitoring job definition |
| sagemaker_delete_device_fleet | Deletes a fleet |
| sagemaker_delete_domain | Used to delete a domain |
| sagemaker_delete_edge_deployment_plan | Deletes an edge deployment plan if (and only if) all the... |
| sagemaker_delete_edge_deployment_stage | Delete a stage in an edge deployment plan if (and only if)... |
| sagemaker_delete_endpoint | Deletes an endpoint |
| sagemaker_delete_endpoint_config | Deletes an endpoint configuration |
| sagemaker_delete_experiment | Deletes an SageMaker experiment |
| sagemaker_delete_feature_group | Delete the FeatureGroup and any data that was written to the... |
| sagemaker_delete_flow_definition | Deletes the specified flow definition |
| sagemaker_delete_human_task_ui | Use this operation to delete a human task user interface... |
| sagemaker_delete_image | Deletes a SageMaker image and all versions of the image |
| sagemaker_delete_image_version | Deletes a version of a SageMaker image |
| sagemaker_delete_model | Deletes a model |
| sagemaker_delete_model_bias_job_definition | Deletes an Amazon SageMaker model bias job definition |
| sagemaker_delete_model_explainability_job_definition | Deletes an Amazon SageMaker model explainability job... |
| sagemaker_delete_model_package | Deletes a model package |
| sagemaker_delete_model_package_group | Deletes the specified model group |
| sagemaker_delete_model_package_group_policy | Deletes a model group resource policy |
| sagemaker_delete_model_quality_job_definition | Deletes the secified model quality monitoring job definition |
| sagemaker_delete_monitoring_schedule | Deletes a monitoring schedule |
| sagemaker_delete_notebook_instance | Deletes an SageMaker notebook instance |
| sagemaker_delete_notebook_instance_lifecycle_config | Deletes a notebook instance lifecycle configuration |
| sagemaker_delete_pipeline | Deletes a pipeline if there are no running instances of the... |
| sagemaker_delete_project | Delete the specified project |
| sagemaker_delete_studio_lifecycle_config | Deletes the Studio Lifecycle Configuration |
| sagemaker_delete_tags | Deletes the specified tags from an SageMaker resource |
| sagemaker_delete_trial | Deletes the specified trial |
| sagemaker_delete_trial_component | Deletes the specified trial component |
| sagemaker_delete_user_profile | Deletes a user profile |
| sagemaker_delete_workforce | Use this operation to delete a workforce |
| sagemaker_delete_workteam | Deletes an existing work team |
| sagemaker_deregister_devices | Deregisters the specified devices |
| sagemaker_describe_action | Describes an action |
| sagemaker_describe_algorithm | Returns a description of the specified algorithm that is in... |
| sagemaker_describe_app | Describes the app |
| sagemaker_describe_app_image_config | Describes an AppImageConfig |
| sagemaker_describe_artifact | Describes an artifact |
| sagemaker_describe_auto_ml_job | Returns information about an Amazon SageMaker AutoML job |
| sagemaker_describe_code_repository | Gets details about the specified Git repository |
| sagemaker_describe_compilation_job | Returns information about a model compilation job |
| sagemaker_describe_context | Describes a context |
| sagemaker_describe_data_quality_job_definition | Gets the details of a data quality monitoring job definition |
| sagemaker_describe_device | Describes the device |
| sagemaker_describe_device_fleet | A description of the fleet the device belongs to |
| sagemaker_describe_domain | The description of the domain |
| sagemaker_describe_edge_deployment_plan | Describes an edge deployment plan with deployment status per... |
| sagemaker_describe_edge_packaging_job | A description of edge packaging jobs |
| sagemaker_describe_endpoint | Returns the description of an endpoint |
| sagemaker_describe_endpoint_config | Returns the description of an endpoint configuration created... |
| sagemaker_describe_experiment | Provides a list of an experiment's properties |
| sagemaker_describe_feature_group | Use this operation to describe a FeatureGroup |
| sagemaker_describe_feature_metadata | Shows the metadata for a feature within a feature group |
| sagemaker_describe_flow_definition | Returns information about the specified flow definition |
| sagemaker_describe_human_task_ui | Returns information about the requested human task user... |
| sagemaker_describe_hyper_parameter_tuning_job | Gets a description of a hyperparameter tuning job |
| sagemaker_describe_image | Describes a SageMaker image |
| sagemaker_describe_image_version | Describes a version of a SageMaker image |
| sagemaker_describe_inference_recommendations_job | Provides the results of the Inference Recommender job |
| sagemaker_describe_labeling_job | Gets information about a labeling job |
| sagemaker_describe_lineage_group | Provides a list of properties for the requested lineage group |
| sagemaker_describe_model | Describes a model that you created using the CreateModel API |
| sagemaker_describe_model_bias_job_definition | Returns a description of a model bias job definition |
| sagemaker_describe_model_explainability_job_definition | Returns a description of a model explainability job... |
| sagemaker_describe_model_package | Returns a description of the specified model package, which... |
| sagemaker_describe_model_package_group | Gets a description for the specified model group |
| sagemaker_describe_model_quality_job_definition | Returns a description of a model quality job definition |
| sagemaker_describe_monitoring_schedule | Describes the schedule for a monitoring job |
| sagemaker_describe_notebook_instance | Returns information about a notebook instance |
| sagemaker_describe_notebook_instance_lifecycle_config | Returns a description of a notebook instance lifecycle... |
| sagemaker_describe_pipeline | Describes the details of a pipeline |
| sagemaker_describe_pipeline_definition_for_execution | Describes the details of an execution's pipeline definition |
| sagemaker_describe_pipeline_execution | Describes the details of a pipeline execution |
| sagemaker_describe_processing_job | Returns a description of a processing job |
| sagemaker_describe_project | Describes the details of a project |
| sagemaker_describe_studio_lifecycle_config | Describes the Studio Lifecycle Configuration |
| sagemaker_describe_subscribed_workteam | Gets information about a work team provided by a vendor |
| sagemaker_describe_training_job | Returns information about a training job |
| sagemaker_describe_transform_job | Returns information about a transform job |
| sagemaker_describe_trial | Provides a list of a trial's properties |
| sagemaker_describe_trial_component | Provides a list of a trials component's properties |
| sagemaker_describe_user_profile | Describes a user profile |
| sagemaker_describe_workforce | Lists private workforce information, including workforce... |
| sagemaker_describe_workteam | Gets information about a specific work team |
| sagemaker_disable_sagemaker_servicecatalog_portfolio | Disables using Service Catalog in SageMaker |
| sagemaker_disassociate_trial_component | Disassociates a trial component from a trial |
| sagemakeredgemanager | Amazon Sagemaker Edge Manager |
| sagemakeredgemanager_get_deployments | Use to get the active deployments from a device |
| sagemakeredgemanager_get_device_registration | Use to check if a device is registered with SageMaker Edge... |
| sagemakeredgemanager_send_heartbeat | Use to get the current status of devices registered on... |
| sagemaker_enable_sagemaker_servicecatalog_portfolio | Enables using Service Catalog in SageMaker |
| sagemakerfeaturestoreruntime | Amazon SageMaker Feature Store Runtime |
| sagemakerfeaturestoreruntime_batch_get_record | Retrieves a batch of Records from a FeatureGroup |
| sagemakerfeaturestoreruntime_delete_record | Deletes a Record from a FeatureGroup |
| sagemakerfeaturestoreruntime_get_record | Use for OnlineStore serving from a FeatureStore |
| sagemakerfeaturestoreruntime_put_record | Used for data ingestion into the FeatureStore |
| sagemaker_get_device_fleet_report | Describes a fleet |
| sagemaker_get_lineage_group_policy | The resource policy for the lineage group |
| sagemaker_get_model_package_group_policy | Gets a resource policy that manages access for a model group |
| sagemaker_get_sagemaker_servicecatalog_portfolio_status | Gets the status of Service Catalog in SageMaker |
| sagemaker_get_search_suggestions | An auto-complete API for the search functionality in the... |
| sagemaker_list_actions | Lists the actions in your account and their properties |
| sagemaker_list_algorithms | Lists the machine learning algorithms that have been created |
| sagemaker_list_app_image_configs | Lists the AppImageConfigs in your account and their... |
| sagemaker_list_apps | Lists apps |
| sagemaker_list_artifacts | Lists the artifacts in your account and their properties |
| sagemaker_list_associations | Lists the associations in your account and their properties |
| sagemaker_list_auto_ml_jobs | Request a list of jobs |
| sagemaker_list_candidates_for_auto_ml_job | List the candidates created for the job |
| sagemaker_list_code_repositories | Gets a list of the Git repositories in your account |
| sagemaker_list_compilation_jobs | Lists model compilation jobs that satisfy various filters |
| sagemaker_list_contexts | Lists the contexts in your account and their properties |
| sagemaker_list_data_quality_job_definitions | Lists the data quality job definitions in your account |
| sagemaker_list_device_fleets | Returns a list of devices in the fleet |
| sagemaker_list_devices | A list of devices |
| sagemaker_list_domains | Lists the domains |
| sagemaker_list_edge_deployment_plans | Lists all edge deployment plans |
| sagemaker_list_edge_packaging_jobs | Returns a list of edge packaging jobs |
| sagemaker_list_endpoint_configs | Lists endpoint configurations |
| sagemaker_list_endpoints | Lists endpoints |
| sagemaker_list_experiments | Lists all the experiments in your account |
| sagemaker_list_feature_groups | List FeatureGroups based on given filter and order |
| sagemaker_list_flow_definitions | Returns information about the flow definitions in your... |
| sagemaker_list_human_task_uis | Returns information about the human task user interfaces in... |
| sagemaker_list_hyper_parameter_tuning_jobs | Gets a list of HyperParameterTuningJobSummary objects that... |
| sagemaker_list_images | Lists the images in your account and their properties |
| sagemaker_list_image_versions | Lists the versions of a specified image and their properties |
| sagemaker_list_inference_recommendations_jobs | Lists recommendation jobs that satisfy various filters |
| sagemaker_list_labeling_jobs | Gets a list of labeling jobs |
| sagemaker_list_labeling_jobs_for_workteam | Gets a list of labeling jobs assigned to a specified work... |
| sagemaker_list_lineage_groups | A list of lineage groups shared with your Amazon Web Services... |
| sagemaker_list_model_bias_job_definitions | Lists model bias jobs definitions that satisfy various... |
| sagemaker_list_model_explainability_job_definitions | Lists model explainability job definitions that satisfy... |
| sagemaker_list_model_metadata | Lists the domain, framework, task, and model name of standard... |
| sagemaker_list_model_package_groups | Gets a list of the model groups in your Amazon Web Services... |
| sagemaker_list_model_packages | Lists the model packages that have been created |
| sagemaker_list_model_quality_job_definitions | Gets a list of model quality monitoring job definitions in... |
| sagemaker_list_models | Lists models created with the CreateModel API |
| sagemaker_list_monitoring_executions | Returns list of all monitoring job executions |
| sagemaker_list_monitoring_schedules | Returns list of all monitoring schedules |
| sagemaker_list_notebook_instance_lifecycle_configs | Lists notebook instance lifestyle configurations created with... |
| sagemaker_list_notebook_instances | Returns a list of the SageMaker notebook instances in the... |
| sagemaker_list_pipeline_executions | Gets a list of the pipeline executions |
| sagemaker_list_pipeline_execution_steps | Gets a list of PipeLineExecutionStep objects |
| sagemaker_list_pipeline_parameters_for_execution | Gets a list of parameters for a pipeline execution |
| sagemaker_list_pipelines | Gets a list of pipelines |
| sagemaker_list_processing_jobs | Lists processing jobs that satisfy various filters |
| sagemaker_list_projects | Gets a list of the projects in an Amazon Web Services account |
| sagemaker_list_stage_devices | Lists devices allocated to the stage, containing detailed... |
| sagemaker_list_studio_lifecycle_configs | Lists the Studio Lifecycle Configurations in your Amazon Web... |
| sagemaker_list_subscribed_workteams | Gets a list of the work teams that you are subscribed to in... |
| sagemaker_list_tags | Returns the tags for the specified SageMaker resource |
| sagemaker_list_training_jobs | Lists training jobs |
| sagemaker_list_training_jobs_for_hyper_parameter_tuning_job | Gets a list of TrainingJobSummary objects that describe the... |
| sagemaker_list_transform_jobs | Lists transform jobs |
| sagemaker_list_trial_components | Lists the trial components in your account |
| sagemaker_list_trials | Lists the trials in your account |
| sagemaker_list_user_profiles | Lists user profiles |
| sagemaker_list_workforces | Use this operation to list all private and vendor workforces... |
| sagemaker_list_workteams | Gets a list of private work teams that you have defined in a... |
| sagemaker_put_model_package_group_policy | Adds a resouce policy to control access to a model group |
| sagemaker_query_lineage | Use this action to inspect your lineage and discover... |
| sagemaker_register_devices | Register devices |
| sagemaker_render_ui_template | Renders the UI template so that you can preview the worker's... |
| sagemaker_retry_pipeline_execution | Retry the execution of the pipeline |
| sagemakerruntime | Amazon SageMaker Runtime |
| sagemakerruntime_invoke_endpoint | After you deploy a model into production using Amazon... |
| sagemakerruntime_invoke_endpoint_async | After you deploy a model into production using Amazon... |
| sagemaker_search | Finds Amazon SageMaker resources that match a search query |
| sagemaker_send_pipeline_execution_step_failure | Notifies the pipeline that the execution of a callback step... |
| sagemaker_send_pipeline_execution_step_success | Notifies the pipeline that the execution of a callback step... |
| sagemaker_start_edge_deployment_stage | Starts a stage in an edge deployment plan |
| sagemaker_start_monitoring_schedule | Starts a previously stopped monitoring schedule |
| sagemaker_start_notebook_instance | Launches an ML compute instance with the latest version of... |
| sagemaker_start_pipeline_execution | Starts a pipeline execution |
| sagemaker_stop_auto_ml_job | A method for forcing the termination of a running job |
| sagemaker_stop_compilation_job | Stops a model compilation job |
| sagemaker_stop_edge_deployment_stage | Stops a stage in an edge deployment plan |
| sagemaker_stop_edge_packaging_job | Request to stop an edge packaging job |
| sagemaker_stop_hyper_parameter_tuning_job | Stops a running hyperparameter tuning job and all running... |
| sagemaker_stop_inference_recommendations_job | Stops an Inference Recommender job |
| sagemaker_stop_labeling_job | Stops a running labeling job |
| sagemaker_stop_monitoring_schedule | Stops a previously started monitoring schedule |
| sagemaker_stop_notebook_instance | Terminates the ML compute instance |
| sagemaker_stop_pipeline_execution | Stops a pipeline execution |
| sagemaker_stop_processing_job | Stops a processing job |
| sagemaker_stop_training_job | Stops a training job |
| sagemaker_stop_transform_job | Stops a batch transform job |
| sagemaker_update_action | Updates an action |
| sagemaker_update_app_image_config | Updates the properties of an AppImageConfig |
| sagemaker_update_artifact | Updates an artifact |
| sagemaker_update_code_repository | Updates the specified Git repository with the specified... |
| sagemaker_update_context | Updates a context |
| sagemaker_update_device_fleet | Updates a fleet of devices |
| sagemaker_update_devices | Updates one or more devices in a fleet |
| sagemaker_update_domain | Updates the default settings for new user profiles in the... |
| sagemaker_update_endpoint | Deploys the new EndpointConfig specified in the request,... |
| sagemaker_update_endpoint_weights_and_capacities | Updates variant weight of one or more variants associated... |
| sagemaker_update_experiment | Adds, updates, or removes the description of an experiment |
| sagemaker_update_feature_group | Updates the feature group |
| sagemaker_update_feature_metadata | Updates the description and parameters of the feature group |
| sagemaker_update_image | Updates the properties of a SageMaker image |
| sagemaker_update_model_package | Updates a versioned model |
| sagemaker_update_monitoring_schedule | Updates a previously created schedule |
| sagemaker_update_notebook_instance | Updates a notebook instance |
| sagemaker_update_notebook_instance_lifecycle_config | Updates a notebook instance lifecycle configuration created... |
| sagemaker_update_pipeline | Updates a pipeline |
| sagemaker_update_pipeline_execution | Updates a pipeline execution |
| sagemaker_update_project | Updates a machine learning (ML) project that is created from... |
| sagemaker_update_training_job | Update a model training job to request a new Debugger... |
| sagemaker_update_trial | Updates the display name of a trial |
| sagemaker_update_trial_component | Updates one or more properties of a trial component |
| sagemaker_update_user_profile | Updates a user profile |
| sagemaker_update_workforce | Use this operation to update your workforce |
| sagemaker_update_workteam | Updates an existing work team with new member definitions or... |
| textract | Amazon Textract |
| textract_analyze_document | Analyzes an input document for relationships between detected... |
| textract_analyze_expense | AnalyzeExpense synchronously analyzes an input document for... |
| textract_analyze_id | Analyzes identity documents for relevant information |
| textract_detect_document_text | Detects text in the input document |
| textract_get_document_analysis | Gets the results for an Amazon Textract asynchronous... |
| textract_get_document_text_detection | Gets the results for an Amazon Textract asynchronous... |
| textract_get_expense_analysis | Gets the results for an Amazon Textract asynchronous... |
| textract_start_document_analysis | Starts the asynchronous analysis of an input document for... |
| textract_start_document_text_detection | Starts the asynchronous detection of text in a document |
| textract_start_expense_analysis | Starts the asynchronous analysis of invoices or receipts for... |
| transcribeservice | Amazon Transcribe Service |
| transcribeservice_create_call_analytics_category | Creates a new Call Analytics category |
| transcribeservice_create_language_model | Creates a new custom language model |
| transcribeservice_create_medical_vocabulary | Creates a new custom medical vocabulary |
| transcribeservice_create_vocabulary | Creates a new custom vocabulary |
| transcribeservice_create_vocabulary_filter | Creates a new custom vocabulary filter |
| transcribeservice_delete_call_analytics_category | Deletes a Call Analytics category |
| transcribeservice_delete_call_analytics_job | Deletes a Call Analytics job |
| transcribeservice_delete_language_model | Deletes a custom language model |
| transcribeservice_delete_medical_transcription_job | Deletes a medical transcription job |
| transcribeservice_delete_medical_vocabulary | Deletes a custom medical vocabulary |
| transcribeservice_delete_transcription_job | Deletes a transcription job |
| transcribeservice_delete_vocabulary | Deletes a custom vocabulary |
| transcribeservice_delete_vocabulary_filter | Deletes a vocabulary filter |
| transcribeservice_describe_language_model | Provides information about the specified custom language... |
| transcribeservice_get_call_analytics_category | Provides information about the specified Call Analytics... |
| transcribeservice_get_call_analytics_job | Provides information about the specified Call Analytics job |
| transcribeservice_get_medical_transcription_job | Provides information about the specified medical... |
| transcribeservice_get_medical_vocabulary | Provides information about the specified custom medical... |
| transcribeservice_get_transcription_job | Provides information about the specified transcription job |
| transcribeservice_get_vocabulary | Provides information about the specified custom vocabulary |
| transcribeservice_get_vocabulary_filter | Provides information about the specified custom vocabulary... |
| transcribeservice_list_call_analytics_categories | Provides a list of Call Analytics categories, including all... |
| transcribeservice_list_call_analytics_jobs | Provides a list of Call Analytics jobs that match the... |
| transcribeservice_list_language_models | Provides a list of custom language models that match the... |
| transcribeservice_list_medical_transcription_jobs | Provides a list of medical transcription jobs that match the... |
| transcribeservice_list_medical_vocabularies | Provides a list of custom medical vocabularies that match the... |
| transcribeservice_list_tags_for_resource | Lists all tags associated with the specified transcription... |
| transcribeservice_list_transcription_jobs | Provides a list of transcription jobs that match the... |
| transcribeservice_list_vocabularies | Provides a list of custom vocabularies that match the... |
| transcribeservice_list_vocabulary_filters | Provides a list of custom vocabulary filters that match the... |
| transcribeservice_start_call_analytics_job | Transcribes the audio from a customer service call and... |
| transcribeservice_start_medical_transcription_job | Transcribes the audio from a medical dictation or... |
| transcribeservice_start_transcription_job | Transcribes the audio from a media file and applies any... |
| transcribeservice_tag_resource | Adds one or more custom tags, each in the form of a key:value... |
| transcribeservice_untag_resource | Removes the specified tags from the specified Amazon... |
| transcribeservice_update_call_analytics_category | Updates the specified Call Analytics category with new rules |
| transcribeservice_update_medical_vocabulary | Updates an existing custom medical vocabulary with new values |
| transcribeservice_update_vocabulary | Updates an existing custom vocabulary with new values |
| transcribeservice_update_vocabulary_filter | Updates an existing custom vocabulary filter with a new list... |
| translate | Amazon Translate |
| translate_create_parallel_data | Creates a parallel data resource in Amazon Translate by... |
| translate_delete_parallel_data | Deletes a parallel data resource in Amazon Translate |
| translate_delete_terminology | A synchronous action that deletes a custom terminology |
| translate_describe_text_translation_job | Gets the properties associated with an asynchronous batch... |
| translate_get_parallel_data | Provides information about a parallel data resource |
| translate_get_terminology | Retrieves a custom terminology |
| translate_import_terminology | Creates or updates a custom terminology, depending on whether... |
| translate_list_languages | Provides a list of languages (RFC-5646 codes and names) that... |
| translate_list_parallel_data | Provides a list of your parallel data resources in Amazon... |
| translate_list_terminologies | Provides a list of custom terminologies associated with your... |
| translate_list_text_translation_jobs | Gets a list of the batch translation jobs that you have... |
| translate_start_text_translation_job | Starts an asynchronous batch translation job |
| translate_stop_text_translation_job | Stops an asynchronous batch translation job that is in... |
| translate_translate_text | Translates input text from the source language to the target... |
| translate_update_parallel_data | Updates a previously created parallel data resource by... |
| voiceid | Amazon Voice ID |
| voiceid_create_domain | Creates a domain that contains all Amazon Connect Voice ID... |
| voiceid_delete_domain | Deletes the specified domain from Voice ID |
| voiceid_delete_fraudster | Deletes the specified fraudster from Voice ID |
| voiceid_delete_speaker | Deletes the specified speaker from Voice ID |
| voiceid_describe_domain | Describes the specified domain |
| voiceid_describe_fraudster | Describes the specified fraudster |
| voiceid_describe_fraudster_registration_job | Describes the specified fraudster registration job |
| voiceid_describe_speaker | Describes the specified speaker |
| voiceid_describe_speaker_enrollment_job | Describes the specified speaker enrollment job |
| voiceid_evaluate_session | Evaluates a specified session based on audio data accumulated... |
| voiceid_list_domains | Lists all the domains in the Amazon Web Services account |
| voiceid_list_fraudster_registration_jobs | Lists all the fraudster registration jobs in the domain with... |
| voiceid_list_speaker_enrollment_jobs | Lists all the speaker enrollment jobs in the domain with the... |
| voiceid_list_speakers | Lists all speakers in a specified domain |
| voiceid_list_tags_for_resource | Lists all tags associated with a specified Voice ID resource |
| voiceid_opt_out_speaker | Opts out a speaker from Voice ID |
| voiceid_start_fraudster_registration_job | Starts a new batch fraudster registration job using provided... |
| voiceid_start_speaker_enrollment_job | Starts a new batch speaker enrollment job using specified... |
| voiceid_tag_resource | Tags a Voice ID resource with the provided list of tags |
| voiceid_untag_resource | Removes specified tags from a specified Amazon Connect Voice... |
| voiceid_update_domain | Updates the specified domain |
