lexmodelsv2: Amazon Lex Model Building V2

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Amazon Lex Model Building V2

Description

Amazon Lex Model Building V2

Usage

lexmodelsv2(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config	Optional configuration of credentials, endpoint, and/or region. credentials: creds: access_key_id: AWS access key ID secret_access_key: AWS secret access key session_token: AWS temporary session token profile: The name of a profile to use. If not given, then the default profile is used. anonymous: Set anonymous credentials. endpoint: The complete URL to use for the constructed client. region: The AWS Region used in instantiating the client. close_connection: Immediately close all HTTP connections. timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds. s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠. sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html
credentials	Optional credentials shorthand for the config parameter creds: access_key_id: AWS access key ID secret_access_key: AWS secret access key session_token: AWS temporary session token profile: The name of a profile to use. If not given, then the default profile is used. anonymous: Set anonymous credentials.
endpoint	Optional shorthand for complete URL to use for the constructed client.
region	Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- lexmodelsv2(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

batch_create_custom_vocabulary_item	Create a batch of custom vocabulary items for a given bot locale's custom vocabulary
batch_delete_custom_vocabulary_item	Delete a batch of custom vocabulary items for a given bot locale's custom vocabulary
batch_update_custom_vocabulary_item	Update a batch of custom vocabulary items for a given bot locale's custom vocabulary
build_bot_locale	Builds a bot, its intents, and its slot types into a specific locale
create_bot	Creates an Amazon Lex conversational bot
create_bot_alias	Creates an alias for the specified version of a bot
create_bot_locale	Creates a locale in the bot
create_bot_version	Creates a new version of the bot based on the DRAFT version
create_export	Creates a zip archive containing the contents of a bot or a bot locale
create_intent	Creates an intent
create_resource_policy	Creates a new resource policy with the specified policy statements
create_resource_policy_statement	Adds a new resource policy statement to a bot or bot alias
create_slot	Creates a slot in an intent
create_slot_type	Creates a custom slot type
create_test_set_discrepancy_report	Create a report that describes the differences between the bot and the test set
create_upload_url	Gets a pre-signed S3 write URL that you use to upload the zip archive when importing a bot or a bot locale
delete_bot	Deletes all versions of a bot, including the Draft version
delete_bot_alias	Deletes the specified bot alias
delete_bot_locale	Removes a locale from a bot
delete_bot_version	Deletes a specific version of a bot
delete_custom_vocabulary	Removes a custom vocabulary from the specified locale in the specified bot
delete_export	Removes a previous export and the associated files stored in an S3 bucket
delete_import	Removes a previous import and the associated file stored in an S3 bucket
delete_intent	Removes the specified intent
delete_resource_policy	Removes an existing policy from a bot or bot alias
delete_resource_policy_statement	Deletes a policy statement from a resource policy
delete_slot	Deletes the specified slot from an intent
delete_slot_type	Deletes a slot type from a bot locale
delete_test_set	The action to delete the selected test set
delete_utterances	Deletes stored utterances
describe_bot	Provides metadata information about a bot
describe_bot_alias	Get information about a specific bot alias
describe_bot_locale	Describes the settings that a bot has for a specific locale
describe_bot_recommendation	Provides metadata information about a bot recommendation
describe_bot_version	Provides metadata about a version of a bot
describe_custom_vocabulary_metadata	Provides metadata information about a custom vocabulary
describe_export	Gets information about a specific export
describe_import	Gets information about a specific import
describe_intent	Returns metadata about an intent
describe_resource_policy	Gets the resource policy and policy revision for a bot or bot alias
describe_slot	Gets metadata information about a slot
describe_slot_type	Gets metadata information about a slot type
describe_test_execution	Gets metadata information about the test execution
describe_test_set	Gets metadata information about the test set
describe_test_set_discrepancy_report	Gets metadata information about the test set discrepancy report
describe_test_set_generation	Gets metadata information about the test set generation
get_test_execution_artifacts_url	The pre-signed Amazon S3 URL to download the test execution result artifacts
list_aggregated_utterances	Provides a list of utterances that users have sent to the bot
list_bot_aliases	Gets a list of aliases for the specified bot
list_bot_locales	Gets a list of locales for the specified bot
list_bot_recommendations	Get a list of bot recommendations that meet the specified criteria
list_bots	Gets a list of available bots
list_bot_versions	Gets information about all of the versions of a bot
list_built_in_intents	Gets a list of built-in intents provided by Amazon Lex that you can use in your bot
list_built_in_slot_types	Gets a list of built-in slot types that meet the specified criteria
list_custom_vocabulary_items	Paginated list of custom vocabulary items for a given bot locale's custom vocabulary
list_exports	Lists the exports for a bot, bot locale, or custom vocabulary
list_imports	Lists the imports for a bot, bot locale, or custom vocabulary
list_intent_metrics	Retrieves summary metrics for the intents in your bot
list_intent_paths	Retrieves summary statistics for a path of intents that users take over sessions with your bot
list_intents	Get a list of intents that meet the specified criteria
list_intent_stage_metrics	Retrieves summary metrics for the stages within intents in your bot
list_recommended_intents	Gets a list of recommended intents provided by the bot recommendation that you can use in your bot
list_session_analytics_data	Retrieves a list of metadata for individual user sessions with your bot
list_session_metrics	Retrieves summary metrics for the user sessions with your bot
list_slots	Gets a list of slots that match the specified criteria
list_slot_types	Gets a list of slot types that match the specified criteria
list_tags_for_resource	Gets a list of tags associated with a resource
list_test_execution_result_items	Gets a list of test execution result items
list_test_executions	The list of test set executions
list_test_set_records	The list of test set records
list_test_sets	The list of the test sets
list_utterance_analytics_data	To use this API operation, your IAM role must have permissions to perform the ListAggregatedUtterances operation, which provides access to utterance-related analytics
list_utterance_metrics	To use this API operation, your IAM role must have permissions to perform the ListAggregatedUtterances operation, which provides access to utterance-related analytics
search_associated_transcripts	Search for associated transcripts that meet the specified criteria
start_bot_recommendation	Use this to provide your transcript data, and to start the bot recommendation process
start_import	Starts importing a bot, bot locale, or custom vocabulary from a zip archive that you uploaded to an S3 bucket
start_test_execution	The action to start test set execution
start_test_set_generation	The action to start the generation of test set
stop_bot_recommendation	Stop an already running Bot Recommendation request
tag_resource	Adds the specified tags to the specified resource
untag_resource	Removes tags from a bot, bot alias, or bot channel
update_bot	Updates the configuration of an existing bot
update_bot_alias	Updates the configuration of an existing bot alias
update_bot_locale	Updates the settings that a bot has for a specific locale
update_bot_recommendation	Updates an existing bot recommendation request
update_export	Updates the password used to protect an export zip archive
update_intent	Updates the settings for an intent
update_resource_policy	Replaces the existing resource policy for a bot or bot alias with a new one
update_slot	Updates the settings for a slot
update_slot_type	Updates the configuration of an existing slot type
update_test_set	The action to update the test set

Examples

## Not run: 
svc <- lexmodelsv2()
svc$batch_create_custom_vocabulary_item(
  Foo = 123
)

## End(Not run)

paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.