| 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_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_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_sentiment_detection_job | Gets the properties associated with a sentiment detection job |
| 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_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_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_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_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_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_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_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_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 |
| 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_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_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 |
| 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_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_tag_resource | Adds the specified tags to the specified resource |
| lexmodelbuildingservice_untag_resource | Removes tags from a bot, bot alias or bot channel |
| 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... |
| 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 |
| personalize | Amazon Personalize |
| personalize_create_batch_inference_job | Creates a batch inference job |
| personalize_create_campaign | Creates a campaign by deploying a solution version |
| personalize_create_dataset | Creates an empty dataset and adds it to the specified dataset... |
| 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 sending event data... |
| personalize_create_filter | Creates a recommendation filter |
| 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 |
| 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_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_campaign | Describes the given campaign, including its status |
| personalize_describe_dataset | Describes the given dataset |
| 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_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_campaigns | Returns a list of campaigns that use the given solution |
| 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_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 |
| 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_update_campaign | Updates a campaign by either deploying a new solution or... |
| polly | Amazon Polly |
| polly_delete_lexicon | Deletes the specified pronunciation lexicon stored in an AWS... |
| 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 AWS... |
| polly_list_speech_synthesis_tasks | Returns a list of SpeechSynthesisTask objects ordered by... |
| polly_put_lexicon | Stores a pronunciation lexicon in an AWS Region |
| 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_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_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_projects | Lists and gets information about your Amazon Rekognition... |
| rekognition_describe_project_versions | Lists and describes the models in an Amazon Rekognition... |
| 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_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 unsafe content analysis results for a Amazon... |
| 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_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_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 unsafe content in a stored... |
| 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... |
| 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 Amazon... |
| sagemaker_associate_trial_component | Associates a trial component with a trial |
| 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 Amazon... |
| 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_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 Amazon SageMaker... |
| 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_labeling_job | Creates a job that uses workers to label the data objects in... |
| sagemaker_create_model | Creates a model in Amazon 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 Amazon... |
| 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 Amazon 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_training_job | Starts a model training job |
| sagemaker_create_transform_job | Starts a transform job |
| sagemaker_create_trial | Creates an Amazon 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_endpoint | Deletes an endpoint |
| sagemaker_delete_endpoint_config | Deletes an endpoint configuration |
| sagemaker_delete_experiment | Deletes an Amazon 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 Amazon 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 in-progress executions |
| sagemaker_delete_project | Delete the specified project |
| sagemaker_delete_tags | Deletes the specified tags from an Amazon 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 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_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_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_labeling_job | Gets information about a labeling job |
| 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_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 |
| sagemaker_enable_sagemaker_servicecatalog_portfolio | Enables using Service Catalog in SageMaker |
| sagemaker_get_device_fleet_report | Describes a fleet |
| 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_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_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_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_package_groups | Gets a list of the model groups in your AWS account |
| 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 Amazon SageMaker notebook instances in... |
| 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 AWS account |
| 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 Amazon 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_register_devices | Register devices |
| sagemaker_render_ui_template | Renders the UI template so that you can preview the worker's... |
| sagemakerruntime | Amazon SageMaker Runtime |
| sagemakerruntime_invoke_endpoint | After you deploy a model into production using Amazon... |
| sagemaker_search | Finds Amazon SageMaker resources that match a search query |
| 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_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_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 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_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_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_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_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 |
| transcribeservice | Amazon Transcribe Service |
| transcribeservice_create_language_model | Creates a new custom language model |
| transcribeservice_create_medical_vocabulary | Creates a new custom vocabulary that you can use to change... |
| transcribeservice_create_vocabulary | Creates a new custom vocabulary that you can use to change... |
| transcribeservice_create_vocabulary_filter | Creates a new vocabulary filter that you can use to filter... |
| transcribeservice_delete_language_model | Deletes a custom language model using its name |
| transcribeservice_delete_medical_transcription_job | Deletes a transcription job generated by Amazon Transcribe... |
| transcribeservice_delete_medical_vocabulary | Deletes a vocabulary from Amazon Transcribe Medical |
| transcribeservice_delete_transcription_job | Deletes a previously submitted transcription job along with... |
| transcribeservice_delete_vocabulary | Deletes a vocabulary from Amazon Transcribe |
| transcribeservice_delete_vocabulary_filter | Removes a vocabulary filter |
| transcribeservice_describe_language_model | Gets information about a single custom language model |
| transcribeservice_get_medical_transcription_job | Returns information about a transcription job from Amazon... |
| transcribeservice_get_medical_vocabulary | Retrieves information about a medical vocabulary |
| transcribeservice_get_transcription_job | Returns information about a transcription job |
| transcribeservice_get_vocabulary | Gets information about a vocabulary |
| transcribeservice_get_vocabulary_filter | Returns information about a vocabulary filter |
| transcribeservice_list_language_models | Provides more information about the custom language models... |
| transcribeservice_list_medical_transcription_jobs | Lists medical transcription jobs with a specified status or... |
| transcribeservice_list_medical_vocabularies | Returns a list of vocabularies that match the specified... |
| transcribeservice_list_transcription_jobs | Lists transcription jobs with the specified status |
| transcribeservice_list_vocabularies | Returns a list of vocabularies that match the specified... |
| transcribeservice_list_vocabulary_filters | Gets information about vocabulary filters |
| transcribeservice_start_medical_transcription_job | Starts a batch job to transcribe medical speech to text |
| transcribeservice_start_transcription_job | Starts an asynchronous job to transcribe speech to text |
| transcribeservice_update_medical_vocabulary | Updates a vocabulary with new values that you provide in a... |
| transcribeservice_update_vocabulary | Updates an existing vocabulary with new values |
| transcribeservice_update_vocabulary_filter | Updates a vocabulary filter with a new list of filtered words |
| 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 asycnhronous 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_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... |
