class Aws::LookoutforVision::Client

An API client for LookoutforVision. To construct a client, you need to configure a `:region` and `:credentials`.

client = Aws::LookoutforVision::Client.new(
  region: region_name,
  credentials: credentials,
  # ...
)

For details on configuring region and credentials see the [developer guide](/sdk-for-ruby/v3/developer-guide/setup-config.html).

See {#initialize} for a full list of supported configuration options.

Attributes

identifier[R]

@api private

Public Class Methods

errors_module() click to toggle source

@api private

# File lib/aws-sdk-lookoutforvision/client.rb, line 1445
def errors_module
  Errors
end
new(*args) click to toggle source

@overload initialize(options)

@param [Hash] options
@option options [required, Aws::CredentialProvider] :credentials
  Your AWS credentials. This can be an instance of any one of the
  following classes:

  * `Aws::Credentials` - Used for configuring static, non-refreshing
    credentials.

  * `Aws::SharedCredentials` - Used for loading static credentials from a
    shared file, such as `~/.aws/config`.

  * `Aws::AssumeRoleCredentials` - Used when you need to assume a role.

  * `Aws::AssumeRoleWebIdentityCredentials` - Used when you need to
    assume a role after providing credentials via the web.

  * `Aws::SSOCredentials` - Used for loading credentials from AWS SSO using an
    access token generated from `aws login`.

  * `Aws::ProcessCredentials` - Used for loading credentials from a
    process that outputs to stdout.

  * `Aws::InstanceProfileCredentials` - Used for loading credentials
    from an EC2 IMDS on an EC2 instance.

  * `Aws::ECSCredentials` - Used for loading credentials from
    instances running in ECS.

  * `Aws::CognitoIdentityCredentials` - Used for loading credentials
    from the Cognito Identity service.

  When `:credentials` are not configured directly, the following
  locations will be searched for credentials:

  * `Aws.config[:credentials]`
  * The `:access_key_id`, `:secret_access_key`, and `:session_token` options.
  * ENV['AWS_ACCESS_KEY_ID'], ENV['AWS_SECRET_ACCESS_KEY']
  * `~/.aws/credentials`
  * `~/.aws/config`
  * EC2/ECS IMDS instance profile - When used by default, the timeouts
    are very aggressive. Construct and pass an instance of
    `Aws::InstanceProfileCredentails` or `Aws::ECSCredentials` to
    enable retries and extended timeouts.

@option options [required, String] :region
  The AWS region to connect to.  The configured `:region` is
  used to determine the service `:endpoint`. When not passed,
  a default `:region` is searched for in the following locations:

  * `Aws.config[:region]`
  * `ENV['AWS_REGION']`
  * `ENV['AMAZON_REGION']`
  * `ENV['AWS_DEFAULT_REGION']`
  * `~/.aws/credentials`
  * `~/.aws/config`

@option options [String] :access_key_id

@option options [Boolean] :active_endpoint_cache (false)
  When set to `true`, a thread polling for endpoints will be running in
  the background every 60 secs (default). Defaults to `false`.

@option options [Boolean] :adaptive_retry_wait_to_fill (true)
  Used only in `adaptive` retry mode.  When true, the request will sleep
  until there is sufficent client side capacity to retry the request.
  When false, the request will raise a `RetryCapacityNotAvailableError` and will
  not retry instead of sleeping.

@option options [Boolean] :client_side_monitoring (false)
  When `true`, client-side metrics will be collected for all API requests from
  this client.

@option options [String] :client_side_monitoring_client_id ("")
  Allows you to provide an identifier for this client which will be attached to
  all generated client side metrics. Defaults to an empty string.

@option options [String] :client_side_monitoring_host ("127.0.0.1")
  Allows you to specify the DNS hostname or IPv4 or IPv6 address that the client
  side monitoring agent is running on, where client metrics will be published via UDP.

@option options [Integer] :client_side_monitoring_port (31000)
  Required for publishing client metrics. The port that the client side monitoring
  agent is running on, where client metrics will be published via UDP.

@option options [Aws::ClientSideMonitoring::Publisher] :client_side_monitoring_publisher (Aws::ClientSideMonitoring::Publisher)
  Allows you to provide a custom client-side monitoring publisher class. By default,
  will use the Client Side Monitoring Agent Publisher.

@option options [Boolean] :convert_params (true)
  When `true`, an attempt is made to coerce request parameters into
  the required types.

@option options [Boolean] :correct_clock_skew (true)
  Used only in `standard` and adaptive retry modes. Specifies whether to apply
  a clock skew correction and retry requests with skewed client clocks.

@option options [Boolean] :disable_host_prefix_injection (false)
  Set to true to disable SDK automatically adding host prefix
  to default service endpoint when available.

@option options [String] :endpoint
  The client endpoint is normally constructed from the `:region`
  option. You should only configure an `:endpoint` when connecting
  to test or custom endpoints. This should be a valid HTTP(S) URI.

@option options [Integer] :endpoint_cache_max_entries (1000)
  Used for the maximum size limit of the LRU cache storing endpoints data
  for endpoint discovery enabled operations. Defaults to 1000.

@option options [Integer] :endpoint_cache_max_threads (10)
  Used for the maximum threads in use for polling endpoints to be cached, defaults to 10.

@option options [Integer] :endpoint_cache_poll_interval (60)
  When :endpoint_discovery and :active_endpoint_cache is enabled,
  Use this option to config the time interval in seconds for making
  requests fetching endpoints information. Defaults to 60 sec.

@option options [Boolean] :endpoint_discovery (false)
  When set to `true`, endpoint discovery will be enabled for operations when available.

@option options [Aws::Log::Formatter] :log_formatter (Aws::Log::Formatter.default)
  The log formatter.

@option options [Symbol] :log_level (:info)
  The log level to send messages to the `:logger` at.

@option options [Logger] :logger
  The Logger instance to send log messages to.  If this option
  is not set, logging will be disabled.

@option options [Integer] :max_attempts (3)
  An integer representing the maximum number attempts that will be made for
  a single request, including the initial attempt.  For example,
  setting this value to 5 will result in a request being retried up to
  4 times. Used in `standard` and `adaptive` retry modes.

@option options [String] :profile ("default")
  Used when loading credentials from the shared credentials file
  at HOME/.aws/credentials.  When not specified, 'default' is used.

@option options [Proc] :retry_backoff
  A proc or lambda used for backoff. Defaults to 2**retries * retry_base_delay.
  This option is only used in the `legacy` retry mode.

@option options [Float] :retry_base_delay (0.3)
  The base delay in seconds used by the default backoff function. This option
  is only used in the `legacy` retry mode.

@option options [Symbol] :retry_jitter (:none)
  A delay randomiser function used by the default backoff function.
  Some predefined functions can be referenced by name - :none, :equal, :full,
  otherwise a Proc that takes and returns a number. This option is only used
  in the `legacy` retry mode.

  @see https://www.awsarchitectureblog.com/2015/03/backoff.html

@option options [Integer] :retry_limit (3)
  The maximum number of times to retry failed requests.  Only
  ~ 500 level server errors and certain ~ 400 level client errors
  are retried.  Generally, these are throttling errors, data
  checksum errors, networking errors, timeout errors, auth errors,
  endpoint discovery, and errors from expired credentials.
  This option is only used in the `legacy` retry mode.

@option options [Integer] :retry_max_delay (0)
  The maximum number of seconds to delay between retries (0 for no limit)
  used by the default backoff function. This option is only used in the
  `legacy` retry mode.

@option options [String] :retry_mode ("legacy")
  Specifies which retry algorithm to use. Values are:

  * `legacy` - The pre-existing retry behavior.  This is default value if
    no retry mode is provided.

  * `standard` - A standardized set of retry rules across the AWS SDKs.
    This includes support for retry quotas, which limit the number of
    unsuccessful retries a client can make.

  * `adaptive` - An experimental retry mode that includes all the
    functionality of `standard` mode along with automatic client side
    throttling.  This is a provisional mode that may change behavior
    in the future.

@option options [String] :secret_access_key

@option options [String] :session_token

@option options [Boolean] :stub_responses (false)
  Causes the client to return stubbed responses. By default
  fake responses are generated and returned. You can specify
  the response data to return or errors to raise by calling
  {ClientStubs#stub_responses}. See {ClientStubs} for more information.

  ** Please note ** When response stubbing is enabled, no HTTP
  requests are made, and retries are disabled.

@option options [Boolean] :validate_params (true)
  When `true`, request parameters are validated before
  sending the request.

@option options [URI::HTTP,String] :http_proxy A proxy to send
  requests through.  Formatted like 'http://proxy.com:123'.

@option options [Float] :http_open_timeout (15) The number of
  seconds to wait when opening a HTTP session before raising a
  `Timeout::Error`.

@option options [Integer] :http_read_timeout (60) The default
  number of seconds to wait for response data.  This value can
  safely be set per-request on the session.

@option options [Float] :http_idle_timeout (5) The number of
  seconds a connection is allowed to sit idle before it is
  considered stale.  Stale connections are closed and removed
  from the pool before making a request.

@option options [Float] :http_continue_timeout (1) The number of
  seconds to wait for a 100-continue response before sending the
  request body.  This option has no effect unless the request has
  "Expect" header set to "100-continue".  Defaults to `nil` which
  disables this behaviour.  This value can safely be set per
  request on the session.

@option options [Boolean] :http_wire_trace (false) When `true`,
  HTTP debug output will be sent to the `:logger`.

@option options [Boolean] :ssl_verify_peer (true) When `true`,
  SSL peer certificates are verified when establishing a
  connection.

@option options [String] :ssl_ca_bundle Full path to the SSL
  certificate authority bundle file that should be used when
  verifying peer certificates.  If you do not pass
  `:ssl_ca_bundle` or `:ssl_ca_directory` the the system default
  will be used if available.

@option options [String] :ssl_ca_directory Full path of the
  directory that contains the unbundled SSL certificate
  authority files for verifying peer certificates.  If you do
  not pass `:ssl_ca_bundle` or `:ssl_ca_directory` the the
  system default will be used if available.
Calls superclass method
# File lib/aws-sdk-lookoutforvision/client.rb, line 324
def initialize(*args)
  super
end

Public Instance Methods

build_request(operation_name, params = {}) click to toggle source

@param params ({}) @api private

# File lib/aws-sdk-lookoutforvision/client.rb, line 1420
def build_request(operation_name, params = {})
  handlers = @handlers.for(operation_name)
  context = Seahorse::Client::RequestContext.new(
    operation_name: operation_name,
    operation: config.api.operation(operation_name),
    client: self,
    params: params,
    config: config)
  context[:gem_name] = 'aws-sdk-lookoutforvision'
  context[:gem_version] = '1.6.0'
  Seahorse::Client::Request.new(handlers, context)
end
create_dataset(params = {}, options = {}) click to toggle source

Creates a new dataset in an Amazon Lookout for Vision project. `CreateDataset` can create a training or a test dataset from a valid dataset source (`DatasetSource`).

If you want a single dataset project, specify `train` for the value of `DatasetType`.

To have a project with separate training and test datasets, call `CreateDataset` twice. On the first call, specify `train` for the value of `DatasetType`. On the second call, specify `test` for the value of `DatasetType`.

This operation requires permissions to perform the `lookoutvision:CreateDataset` operation.

@option params [required, String] :project_name

The name of the project in which you want to create a dataset.

@option params [required, String] :dataset_type

The type of the dataset. Specify `train` for a training dataset.
Specify `test` for a test dataset.

@option params [Types::DatasetSource] :dataset_source

The location of the manifest file that Amazon Lookout for Vision uses
to create the dataset.

If you don't specify `DatasetSource`, an empty dataset is created and
the operation synchronously returns. Later, you can add JSON Lines by
calling UpdateDatasetEntries.

If you specify a value for `DataSource`, the manifest at the S3
location is validated and used to create the dataset. The call to
`CreateDataset` is asynchronous and might take a while to complete. To
find out the current status, Check the value of `Status` returned in a
call to DescribeDataset.

@option params [String] :client_token

ClientToken is an idempotency token that ensures a call to
`CreateDataset` completes only once. You choose the value to pass. For
example, An issue, such as an network outage, might prevent you from
getting a response from `CreateDataset`. In this case, safely retry
your call to `CreateDataset` by using the same `ClientToken` parameter
value. An error occurs if the other input parameters are not the same
as in the first request. Using a different value for `ClientToken` is
considered a new call to `CreateDataset`. An idempotency token is
active for 8 hours.

**A suitable default value is auto-generated.** You should normally
not need to pass this option.**

@return [Types::CreateDatasetResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::CreateDatasetResponse#dataset_metadata #dataset_metadata} => Types::DatasetMetadata

@example Request syntax with placeholder values

resp = client.create_dataset({
  project_name: "ProjectName", # required
  dataset_type: "DatasetType", # required
  dataset_source: {
    ground_truth_manifest: {
      s3_object: {
        bucket: "S3BucketName", # required
        key: "S3ObjectKey", # required
        version_id: "S3ObjectVersion",
      },
    },
  },
  client_token: "ClientToken",
})

@example Response structure

resp.dataset_metadata.dataset_type #=> String
resp.dataset_metadata.creation_timestamp #=> Time
resp.dataset_metadata.status #=> String, one of "CREATE_IN_PROGRESS", "CREATE_COMPLETE", "CREATE_FAILED", "UPDATE_IN_PROGRESS", "UPDATE_COMPLETE", "UPDATE_FAILED_ROLLBACK_IN_PROGRESS", "UPDATE_FAILED_ROLLBACK_COMPLETE", "DELETE_IN_PROGRESS", "DELETE_COMPLETE", "DELETE_FAILED"
resp.dataset_metadata.status_message #=> String

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/CreateDataset AWS API Documentation

@overload create_dataset(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 412
def create_dataset(params = {}, options = {})
  req = build_request(:create_dataset, params)
  req.send_request(options)
end
create_model(params = {}, options = {}) click to toggle source

Creates a new version of a model within an an Amazon Lookout for Vision project. `CreateModel` is an asynchronous operation in which Amazon Lookout for Vision trains, tests, and evaluates a new version of a model.

To get the current status, check the `Status` field returned in the response from DescribeModel.

If the project has a single dataset, Amazon Lookout for Vision internally splits the dataset to create a training and a test dataset. If the project has a training and a test dataset, Lookout for Vision uses the respective datasets to train and test the model.

After training completes, the evaluation metrics are stored at the location specified in `OutputConfig`.

This operation requires permissions to perform the `lookoutvision:CreateModel` operation. If you want to tag your model, you also require permission to the `lookoutvision:TagResource` operation.

@option params [required, String] :project_name

The name of the project in which you want to create a model version.

@option params [String] :description

A description for the version of the model.

@option params [String] :client_token

ClientToken is an idempotency token that ensures a call to
`CreateModel` completes only once. You choose the value to pass. For
example, An issue, such as an network outage, might prevent you from
getting a response from `CreateModel`. In this case, safely retry your
call to `CreateModel` by using the same `ClientToken` parameter value.
An error occurs if the other input parameters are not the same as in
the first request. Using a different value for `ClientToken` is
considered a new call to `CreateModel`. An idempotency token is active
for 8 hours.

**A suitable default value is auto-generated.** You should normally
not need to pass this option.**

@option params [required, Types::OutputConfig] :output_config

The location where Amazon Lookout for Vision saves the training
results.

@option params [String] :kms_key_id

The identifier for your AWS Key Management Service (AWS KMS) customer
master key (CMK). The key is used to encrypt training and test images
copied into the service for model training. Your source images are
unaffected. If this parameter is not specified, the copied images are
encrypted by a key that AWS owns and manages.

@option params [Array<Types::Tag>] :tags

A set of tags (key-value pairs) that you want to attach to the model.

@return [Types::CreateModelResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::CreateModelResponse#model_metadata #model_metadata} => Types::ModelMetadata

@example Request syntax with placeholder values

resp = client.create_model({
  project_name: "ProjectName", # required
  description: "ModelDescriptionMessage",
  client_token: "ClientToken",
  output_config: { # required
    s3_location: { # required
      bucket: "S3BucketName", # required
      prefix: "S3KeyPrefix",
    },
  },
  kms_key_id: "KmsKeyId",
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
})

@example Response structure

resp.model_metadata.creation_timestamp #=> Time
resp.model_metadata.model_version #=> String
resp.model_metadata.model_arn #=> String
resp.model_metadata.description #=> String
resp.model_metadata.status #=> String, one of "TRAINING", "TRAINED", "TRAINING_FAILED", "STARTING_HOSTING", "HOSTED", "HOSTING_FAILED", "STOPPING_HOSTING", "SYSTEM_UPDATING", "DELETING"
resp.model_metadata.status_message #=> String
resp.model_metadata.performance.f1_score #=> Float
resp.model_metadata.performance.recall #=> Float
resp.model_metadata.performance.precision #=> Float

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/CreateModel AWS API Documentation

@overload create_model(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 513
def create_model(params = {}, options = {})
  req = build_request(:create_model, params)
  req.send_request(options)
end
create_project(params = {}, options = {}) click to toggle source

Creates an empty Amazon Lookout for Vision project. After you create the project, add a dataset by calling CreateDataset.

This operation requires permissions to perform the `lookoutvision:CreateProject` operation.

@option params [required, String] :project_name

The name for the project.

@option params [String] :client_token

ClientToken is an idempotency token that ensures a call to
`CreateProject` completes only once. You choose the value to pass. For
example, An issue, such as an network outage, might prevent you from
getting a response from `CreateProject`. In this case, safely retry
your call to `CreateProject` by using the same `ClientToken` parameter
value. An error occurs if the other input parameters are not the same
as in the first request. Using a different value for `ClientToken` is
considered a new call to `CreateProject`. An idempotency token is
active for 8 hours.

**A suitable default value is auto-generated.** You should normally
not need to pass this option.**

@return [Types::CreateProjectResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::CreateProjectResponse#project_metadata #project_metadata} => Types::ProjectMetadata

@example Request syntax with placeholder values

resp = client.create_project({
  project_name: "ProjectName", # required
  client_token: "ClientToken",
})

@example Response structure

resp.project_metadata.project_arn #=> String
resp.project_metadata.project_name #=> String
resp.project_metadata.creation_timestamp #=> Time

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/CreateProject AWS API Documentation

@overload create_project(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 562
def create_project(params = {}, options = {})
  req = build_request(:create_project, params)
  req.send_request(options)
end
delete_dataset(params = {}, options = {}) click to toggle source

Deletes an existing Amazon Lookout for Vision `dataset`.

If your the project has a single dataset, you must create a new dataset before you can create a model.

If you project has a training dataset and a test dataset consider the following.

  • If you delete the test dataset, your project reverts to a single dataset project. If you then train the model, Amazon Lookout for Vision internally splits the remaining dataset into a training and test dataset.

  • If you delete the training dataset, you must create a training dataset before you can create a model.

This operation requires permissions to perform the `lookoutvision:DeleteDataset` operation.

@option params [required, String] :project_name

The name of the project that contains the dataset that you want to
delete.

@option params [required, String] :dataset_type

The type of the dataset to delete. Specify `train` to delete the
training dataset. Specify `test` to delete the test dataset. To delete
the dataset in a single dataset project, specify `train`.

@option params [String] :client_token

ClientToken is an idempotency token that ensures a call to
`DeleteDataset` completes only once. You choose the value to pass. For
example, An issue, such as an network outage, might prevent you from
getting a response from `DeleteDataset`. In this case, safely retry
your call to `DeleteDataset` by using the same `ClientToken` parameter
value. An error occurs if the other input parameters are not the same
as in the first request. Using a different value for `ClientToken` is
considered a new call to `DeleteDataset`. An idempotency token is
active for 8 hours.

**A suitable default value is auto-generated.** You should normally
not need to pass this option.**

@return [Struct] Returns an empty {Seahorse::Client::Response response}.

@example Request syntax with placeholder values

resp = client.delete_dataset({
  project_name: "ProjectName", # required
  dataset_type: "DatasetType", # required
  client_token: "ClientToken",
})

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/DeleteDataset AWS API Documentation

@overload delete_dataset(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 623
def delete_dataset(params = {}, options = {})
  req = build_request(:delete_dataset, params)
  req.send_request(options)
end
delete_model(params = {}, options = {}) click to toggle source

Deletes an Amazon Lookout for Vision model. You can't delete a running model. To stop a running model, use the StopModel operation.

It might take a few seconds to delete a model. To determine if a model has been deleted, call ListProjects and check if the version of the model (`ModelVersion`) is in the `Models` array.

This operation requires permissions to perform the `lookoutvision:DeleteModel` operation.

@option params [required, String] :project_name

The name of the project that contains the model that you want to
delete.

@option params [required, String] :model_version

The version of the model that you want to delete.

@option params [String] :client_token

ClientToken is an idempotency token that ensures a call to
`DeleteModel` completes only once. You choose the value to pass. For
example, An issue, such as an network outage, might prevent you from
getting a response from `DeleteModel`. In this case, safely retry your
call to `DeleteModel` by using the same `ClientToken` parameter value.
An error occurs if the other input parameters are not the same as in
the first request. Using a different value for `ClientToken` is
considered a new call to `DeleteModel`. An idempotency token is active
for 8 hours.

**A suitable default value is auto-generated.** You should normally
not need to pass this option.**

@return [Types::DeleteModelResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::DeleteModelResponse#model_arn #model_arn} => String

@example Request syntax with placeholder values

resp = client.delete_model({
  project_name: "ProjectName", # required
  model_version: "ModelVersion", # required
  client_token: "ClientToken",
})

@example Response structure

resp.model_arn #=> String

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/DeleteModel AWS API Documentation

@overload delete_model(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 679
def delete_model(params = {}, options = {})
  req = build_request(:delete_model, params)
  req.send_request(options)
end
delete_project(params = {}, options = {}) click to toggle source

Deletes an Amazon Lookout for Vision project.

To delete a project, you must first delete each version of the model associated with the project. To delete a model use the DeleteModel operation.

You also have to delete the dataset(s) associated with the model. For more information, see DeleteDataset. The images referenced by the training and test datasets aren't deleted.

This operation requires permissions to perform the `lookoutvision:DeleteProject` operation.

@option params [required, String] :project_name

The name of the project to delete.

@option params [String] :client_token

ClientToken is an idempotency token that ensures a call to
`DeleteProject` completes only once. You choose the value to pass. For
example, An issue, such as an network outage, might prevent you from
getting a response from `DeleteProject`. In this case, safely retry
your call to `DeleteProject` by using the same `ClientToken` parameter
value. An error occurs if the other input parameters are not the same
as in the first request. Using a different value for `ClientToken` is
considered a new call to `DeleteProject`. An idempotency token is
active for 8 hours.

**A suitable default value is auto-generated.** You should normally
not need to pass this option.**

@return [Types::DeleteProjectResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::DeleteProjectResponse#project_arn #project_arn} => String

@example Request syntax with placeholder values

resp = client.delete_project({
  project_name: "ProjectName", # required
  client_token: "ClientToken",
})

@example Response structure

resp.project_arn #=> String

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/DeleteProject AWS API Documentation

@overload delete_project(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 733
def delete_project(params = {}, options = {})
  req = build_request(:delete_project, params)
  req.send_request(options)
end
describe_dataset(params = {}, options = {}) click to toggle source

Describe an Amazon Lookout for Vision dataset.

This operation requires permissions to perform the `lookoutvision:DescribeDataset` operation.

@option params [required, String] :project_name

The name of the project that contains the dataset that you want to
describe.

@option params [required, String] :dataset_type

The type of the dataset to describe. Specify `train` to describe the
training dataset. Specify `test` to describe the test dataset. If you
have a single dataset project, specify `train`

@return [Types::DescribeDatasetResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::DescribeDatasetResponse#dataset_description #dataset_description} => Types::DatasetDescription

@example Request syntax with placeholder values

resp = client.describe_dataset({
  project_name: "ProjectName", # required
  dataset_type: "DatasetType", # required
})

@example Response structure

resp.dataset_description.project_name #=> String
resp.dataset_description.dataset_type #=> String
resp.dataset_description.creation_timestamp #=> Time
resp.dataset_description.last_updated_timestamp #=> Time
resp.dataset_description.status #=> String, one of "CREATE_IN_PROGRESS", "CREATE_COMPLETE", "CREATE_FAILED", "UPDATE_IN_PROGRESS", "UPDATE_COMPLETE", "UPDATE_FAILED_ROLLBACK_IN_PROGRESS", "UPDATE_FAILED_ROLLBACK_COMPLETE", "DELETE_IN_PROGRESS", "DELETE_COMPLETE", "DELETE_FAILED"
resp.dataset_description.status_message #=> String
resp.dataset_description.image_stats.total #=> Integer
resp.dataset_description.image_stats.labeled #=> Integer
resp.dataset_description.image_stats.normal #=> Integer
resp.dataset_description.image_stats.anomaly #=> Integer

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/DescribeDataset AWS API Documentation

@overload describe_dataset(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 780
def describe_dataset(params = {}, options = {})
  req = build_request(:describe_dataset, params)
  req.send_request(options)
end
describe_model(params = {}, options = {}) click to toggle source

Describes a version of an Amazon Lookout for Vision model.

This operation requires permissions to perform the `lookoutvision:DescribeModel` operation.

@option params [required, String] :project_name

The project that contains the version of a model that you want to
describe.

@option params [required, String] :model_version

The version of the model that you want to describe.

@return [Types::DescribeModelResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::DescribeModelResponse#model_description #model_description} => Types::ModelDescription

@example Request syntax with placeholder values

resp = client.describe_model({
  project_name: "ProjectName", # required
  model_version: "ModelVersion", # required
})

@example Response structure

resp.model_description.model_version #=> String
resp.model_description.model_arn #=> String
resp.model_description.creation_timestamp #=> Time
resp.model_description.description #=> String
resp.model_description.status #=> String, one of "TRAINING", "TRAINED", "TRAINING_FAILED", "STARTING_HOSTING", "HOSTED", "HOSTING_FAILED", "STOPPING_HOSTING", "SYSTEM_UPDATING", "DELETING"
resp.model_description.status_message #=> String
resp.model_description.performance.f1_score #=> Float
resp.model_description.performance.recall #=> Float
resp.model_description.performance.precision #=> Float
resp.model_description.output_config.s3_location.bucket #=> String
resp.model_description.output_config.s3_location.prefix #=> String
resp.model_description.evaluation_manifest.bucket #=> String
resp.model_description.evaluation_manifest.key #=> String
resp.model_description.evaluation_result.bucket #=> String
resp.model_description.evaluation_result.key #=> String
resp.model_description.evaluation_end_timestamp #=> Time
resp.model_description.kms_key_id #=> String

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/DescribeModel AWS API Documentation

@overload describe_model(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 832
def describe_model(params = {}, options = {})
  req = build_request(:describe_model, params)
  req.send_request(options)
end
describe_project(params = {}, options = {}) click to toggle source

Describes an Amazon Lookout for Vision project.

This operation requires permissions to perform the `lookoutvision:DescribeProject` operation.

@option params [required, String] :project_name

The name of the project that you want to describe.

@return [Types::DescribeProjectResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::DescribeProjectResponse#project_description #project_description} => Types::ProjectDescription

@example Request syntax with placeholder values

resp = client.describe_project({
  project_name: "ProjectName", # required
})

@example Response structure

resp.project_description.project_arn #=> String
resp.project_description.project_name #=> String
resp.project_description.creation_timestamp #=> Time
resp.project_description.datasets #=> Array
resp.project_description.datasets[0].dataset_type #=> String
resp.project_description.datasets[0].creation_timestamp #=> Time
resp.project_description.datasets[0].status #=> String, one of "CREATE_IN_PROGRESS", "CREATE_COMPLETE", "CREATE_FAILED", "UPDATE_IN_PROGRESS", "UPDATE_COMPLETE", "UPDATE_FAILED_ROLLBACK_IN_PROGRESS", "UPDATE_FAILED_ROLLBACK_COMPLETE", "DELETE_IN_PROGRESS", "DELETE_COMPLETE", "DELETE_FAILED"
resp.project_description.datasets[0].status_message #=> String

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/DescribeProject AWS API Documentation

@overload describe_project(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 870
def describe_project(params = {}, options = {})
  req = build_request(:describe_project, params)
  req.send_request(options)
end
detect_anomalies(params = {}, options = {}) click to toggle source

Detects anomalies in an image that you supply.

The response from `DetectAnomalies` includes a boolean prediction that the image contains one or more anomalies and a confidence value for the prediction.

<note markdown=“1”> Before calling `DetectAnomalies`, you must first start your model with the StartModel operation. You are charged for the amount of time, in minutes, that a model runs and for the number of anomaly detection units that your model uses. If you are not using a model, use the StopModel operation to stop your model.

</note>

This operation requires permissions to perform the `lookoutvision:DetectAnomalies` operation.

@option params [required, String] :project_name

The name of the project that contains the model version that you want
to use.

@option params [required, String] :model_version

The version of the model that you want to use.

@option params [required, String, StringIO, File] :body

The unencrypted image bytes that you want to analyze.

@option params [required, String] :content_type

The type of the image passed in `Body`. Valid values are `image/png`
(PNG format images) and `image/jpeg` (JPG format images).

@return [Types::DetectAnomaliesResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::DetectAnomaliesResponse#detect_anomaly_result #detect_anomaly_result} => Types::DetectAnomalyResult

@example Request syntax with placeholder values

resp = client.detect_anomalies({
  project_name: "ProjectName", # required
  model_version: "ModelVersion", # required
  body: "data", # required
  content_type: "ContentType", # required
})

@example Response structure

resp.detect_anomaly_result.source.type #=> String
resp.detect_anomaly_result.is_anomalous #=> Boolean
resp.detect_anomaly_result.confidence #=> Float

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/DetectAnomalies AWS API Documentation

@overload detect_anomalies(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 929
def detect_anomalies(params = {}, options = {})
  req = build_request(:detect_anomalies, params)
  req.send_request(options)
end
list_dataset_entries(params = {}, options = {}) click to toggle source

Lists the JSON Lines within a dataset. An Amazon Lookout for Vision JSON Line contains the anomaly information for a single image, including the image location and the assigned label.

This operation requires permissions to perform the `lookoutvision:ListDatasetEntries` operation.

@option params [required, String] :project_name

The name of the project that contains the dataset that you want to
list.

@option params [required, String] :dataset_type

The type of the dataset that you want to list. Specify `train` to list
the training dataset. Specify `test` to list the test dataset. If you
have a single dataset project, specify `train`.

@option params [Boolean] :labeled

Specify `true` to include labeled entries, otherwise specify `false`.
If you don't specify a value, Lookout for Vision returns all entries.

@option params [String] :anomaly_class

Specify `normal` to include only normal images. Specify `anomaly` to
only include anomalous entries. If you don't specify a value, Amazon
Lookout for Vision returns normal and anomalous images.

@option params [Time,DateTime,Date,Integer,String] :before_creation_date

Only includes entries before the specified date in the response. For
example, `2020-06-23T00:00:00`.

@option params [Time,DateTime,Date,Integer,String] :after_creation_date

Only includes entries after the specified date in the response. For
example, `2020-06-23T00:00:00`.

@option params [String] :next_token

If the previous response was incomplete (because there is more data to
retrieve), Amazon Lookout for Vision returns a pagination token in the
response. You can use this pagination token to retrieve the next set
of dataset entries.

@option params [Integer] :max_results

The maximum number of results to return per paginated call. The
largest value you can specify is 100. If you specify a value greater
than 100, a ValidationException error occurs. The default value is
100.

@option params [String] :source_ref_contains

Perform a "contains" search on the values of the `source-ref` key
within the dataset. For example a value of "IMG\_17" returns all
JSON Lines where the `source-ref` key value matches **IMG\_17**.

@return [Types::ListDatasetEntriesResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::ListDatasetEntriesResponse#dataset_entries #dataset_entries} => Array&lt;String&gt;
* {Types::ListDatasetEntriesResponse#next_token #next_token} => String

The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}.

@example Request syntax with placeholder values

resp = client.list_dataset_entries({
  project_name: "ProjectName", # required
  dataset_type: "DatasetType", # required
  labeled: false,
  anomaly_class: "AnomalyClassFilter",
  before_creation_date: Time.now,
  after_creation_date: Time.now,
  next_token: "PaginationToken",
  max_results: 1,
  source_ref_contains: "QueryString",
})

@example Response structure

resp.dataset_entries #=> Array
resp.dataset_entries[0] #=> String
resp.next_token #=> String

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/ListDatasetEntries AWS API Documentation

@overload list_dataset_entries(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 1015
def list_dataset_entries(params = {}, options = {})
  req = build_request(:list_dataset_entries, params)
  req.send_request(options)
end
list_models(params = {}, options = {}) click to toggle source

Lists the versions of a model in an Amazon Lookout for Vision project.

This operation requires permissions to perform the `lookoutvision:ListModels` operation.

@option params [required, String] :project_name

The name of the project that contains the model versions that you want
to list.

@option params [String] :next_token

If the previous response was incomplete (because there is more data to
retrieve), Amazon Lookout for Vision returns a pagination token in the
response. You can use this pagination token to retrieve the next set
of models.

@option params [Integer] :max_results

The maximum number of results to return per paginated call. The
largest value you can specify is 100. If you specify a value greater
than 100, a ValidationException error occurs. The default value is
100.

@return [Types::ListModelsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::ListModelsResponse#models #models} => Array&lt;Types::ModelMetadata&gt;
* {Types::ListModelsResponse#next_token #next_token} => String

The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}.

@example Request syntax with placeholder values

resp = client.list_models({
  project_name: "ProjectName", # required
  next_token: "PaginationToken",
  max_results: 1,
})

@example Response structure

resp.models #=> Array
resp.models[0].creation_timestamp #=> Time
resp.models[0].model_version #=> String
resp.models[0].model_arn #=> String
resp.models[0].description #=> String
resp.models[0].status #=> String, one of "TRAINING", "TRAINED", "TRAINING_FAILED", "STARTING_HOSTING", "HOSTED", "HOSTING_FAILED", "STOPPING_HOSTING", "SYSTEM_UPDATING", "DELETING"
resp.models[0].status_message #=> String
resp.models[0].performance.f1_score #=> Float
resp.models[0].performance.recall #=> Float
resp.models[0].performance.precision #=> Float
resp.next_token #=> String

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/ListModels AWS API Documentation

@overload list_models(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 1074
def list_models(params = {}, options = {})
  req = build_request(:list_models, params)
  req.send_request(options)
end
list_projects(params = {}, options = {}) click to toggle source

Lists the Amazon Lookout for Vision projects in your AWS account.

This operation requires permissions to perform the `lookoutvision:ListProjects` operation.

@option params [String] :next_token

If the previous response was incomplete (because there is more data to
retrieve), Amazon Lookout for Vision returns a pagination token in the
response. You can use this pagination token to retrieve the next set
of projects.

@option params [Integer] :max_results

The maximum number of results to return per paginated call. The
largest value you can specify is 100. If you specify a value greater
than 100, a ValidationException error occurs. The default value is
100.

@return [Types::ListProjectsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::ListProjectsResponse#projects #projects} => Array&lt;Types::ProjectMetadata&gt;
* {Types::ListProjectsResponse#next_token #next_token} => String

The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}.

@example Request syntax with placeholder values

resp = client.list_projects({
  next_token: "PaginationToken",
  max_results: 1,
})

@example Response structure

resp.projects #=> Array
resp.projects[0].project_arn #=> String
resp.projects[0].project_name #=> String
resp.projects[0].creation_timestamp #=> Time
resp.next_token #=> String

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/ListProjects AWS API Documentation

@overload list_projects(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 1122
def list_projects(params = {}, options = {})
  req = build_request(:list_projects, params)
  req.send_request(options)
end
list_tags_for_resource(params = {}, options = {}) click to toggle source

Returns a list of tags attached to the specified Amazon Lookout for Vision model.

This operation requires permissions to perform the `lookoutvision:ListTagsForResource` operation.

@option params [required, String] :resource_arn

The Amazon Resource Name (ARN) of the model for which you want to list
tags.

@return [Types::ListTagsForResourceResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::ListTagsForResourceResponse#tags #tags} => Array&lt;Types::Tag&gt;

@example Request syntax with placeholder values

resp = client.list_tags_for_resource({
  resource_arn: "TagArn", # required
})

@example Response structure

resp.tags #=> Array
resp.tags[0].key #=> String
resp.tags[0].value #=> String

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/ListTagsForResource AWS API Documentation

@overload list_tags_for_resource(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 1157
def list_tags_for_resource(params = {}, options = {})
  req = build_request(:list_tags_for_resource, params)
  req.send_request(options)
end
start_model(params = {}, options = {}) click to toggle source

Starts the running of the version of an Amazon Lookout for Vision model. Starting a model takes a while to complete. To check the current state of the model, use DescribeModel.

A model is ready to use when its status is `HOSTED`.

Once the model is running, you can detect custom labels in new images by calling DetectAnomalies.

<note markdown=“1”> You are charged for the amount of time that the model is running. To stop a running model, call StopModel.

</note>

This operation requires permissions to perform the `lookoutvision:StartModel` operation.

@option params [required, String] :project_name

The name of the project that contains the model that you want to
start.

@option params [required, String] :model_version

The version of the model that you want to start.

@option params [required, Integer] :min_inference_units

The minimum number of inference units to use. A single inference unit
represents 1 hour of processing and can support up to 5 Transaction
Pers Second (TPS). Use a higher number to increase the TPS throughput
of your model. You are charged for the number of inference units that
you use.

@option params [String] :client_token

ClientToken is an idempotency token that ensures a call to
`StartModel` completes only once. You choose the value to pass. For
example, An issue, such as an network outage, might prevent you from
getting a response from `StartModel`. In this case, safely retry your
call to `StartModel` by using the same `ClientToken` parameter value.
An error occurs if the other input parameters are not the same as in
the first request. Using a different value for `ClientToken` is
considered a new call to `StartModel`. An idempotency token is active
for 8 hours.

**A suitable default value is auto-generated.** You should normally
not need to pass this option.**

@return [Types::StartModelResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::StartModelResponse#status #status} => String

@example Request syntax with placeholder values

resp = client.start_model({
  project_name: "ProjectName", # required
  model_version: "ModelVersion", # required
  min_inference_units: 1, # required
  client_token: "ClientToken",
})

@example Response structure

resp.status #=> String, one of "STARTING_HOSTING", "HOSTED", "HOSTING_FAILED", "STOPPING_HOSTING", "SYSTEM_UPDATING"

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/StartModel AWS API Documentation

@overload start_model(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 1228
def start_model(params = {}, options = {})
  req = build_request(:start_model, params)
  req.send_request(options)
end
stop_model(params = {}, options = {}) click to toggle source

Stops the hosting of a running model. The operation might take a while to complete. To check the current status, call DescribeModel.

After the model hosting stops, the `Status` of the model is `TRAINED`.

This operation requires permissions to perform the `lookoutvision:StopModel` operation.

@option params [required, String] :project_name

The name of the project that contains the model that you want to stop.

@option params [required, String] :model_version

The version of the model that you want to stop.

@option params [String] :client_token

ClientToken is an idempotency token that ensures a call to `StopModel`
completes only once. You choose the value to pass. For example, An
issue, such as an network outage, might prevent you from getting a
response from `StopModel`. In this case, safely retry your call to
`StopModel` by using the same `ClientToken` parameter value. An error
occurs if the other input parameters are not the same as in the first
request. Using a different value for `ClientToken` is considered a new
call to `StopModel`. An idempotency token is active for 8 hours.

**A suitable default value is auto-generated.** You should normally
not need to pass this option.**

@return [Types::StopModelResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::StopModelResponse#status #status} => String

@example Request syntax with placeholder values

resp = client.stop_model({
  project_name: "ProjectName", # required
  model_version: "ModelVersion", # required
  client_token: "ClientToken",
})

@example Response structure

resp.status #=> String, one of "STARTING_HOSTING", "HOSTED", "HOSTING_FAILED", "STOPPING_HOSTING", "SYSTEM_UPDATING"

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/StopModel AWS API Documentation

@overload stop_model(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 1280
def stop_model(params = {}, options = {})
  req = build_request(:stop_model, params)
  req.send_request(options)
end
tag_resource(params = {}, options = {}) click to toggle source

Adds one or more key-value tags to an Amazon Lookout for Vision model. For more information, see *Tagging a model* in the *Amazon Lookout for Vision Developer Guide*.

This operation requires permissions to perform the `lookoutvision:TagResource` operation.

@option params [required, String] :resource_arn

The Amazon Resource Name (ARN) of the model to assign the tags.

@option params [required, Array<Types::Tag>] :tags

The key-value tags to assign to the model.

@return [Struct] Returns an empty {Seahorse::Client::Response response}.

@example Request syntax with placeholder values

resp = client.tag_resource({
  resource_arn: "TagArn", # required
  tags: [ # required
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
})

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/TagResource AWS API Documentation

@overload tag_resource(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 1316
def tag_resource(params = {}, options = {})
  req = build_request(:tag_resource, params)
  req.send_request(options)
end
untag_resource(params = {}, options = {}) click to toggle source

Removes one or more tags from an Amazon Lookout for Vision model. For more information, see *Tagging a model* in the *Amazon Lookout for Vision Developer Guide*.

This operation requires permissions to perform the `lookoutvision:UntagResource` operation.

@option params [required, String] :resource_arn

The Amazon Resource Name (ARN) of the model from which you want to
remove tags.

@option params [required, Array<String>] :tag_keys

A list of the keys of the tags that you want to remove.

@return [Struct] Returns an empty {Seahorse::Client::Response response}.

@example Request syntax with placeholder values

resp = client.untag_resource({
  resource_arn: "TagArn", # required
  tag_keys: ["TagKey"], # required
})

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/UntagResource AWS API Documentation

@overload untag_resource(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 1348
def untag_resource(params = {}, options = {})
  req = build_request(:untag_resource, params)
  req.send_request(options)
end
update_dataset_entries(params = {}, options = {}) click to toggle source

Adds one or more JSON Line entries to a dataset. A JSON Line includes information about an image used for training or testing an Amazon Lookout for Vision model. The following is an example JSON Line.

Updating a dataset might take a while to complete. To check the current status, call DescribeDataset and check the `Status` field in the response.

This operation requires permissions to perform the `lookoutvision:UpdateDatasetEntries` operation.

@option params [required, String] :project_name

The name of the project that contains the dataset that you want to
update.

@option params [required, String] :dataset_type

The type of the dataset that you want to update. Specify `train` to
update the training dataset. Specify `test` to update the test
dataset. If you have a single dataset project, specify `train`.

@option params [required, String, StringIO, File] :changes

The entries to add to the dataset.

@option params [String] :client_token

ClientToken is an idempotency token that ensures a call to
`UpdateDatasetEntries` completes only once. You choose the value to
pass. For example, An issue, such as an network outage, might prevent
you from getting a response from `UpdateDatasetEntries`. In this case,
safely retry your call to `UpdateDatasetEntries` by using the same
`ClientToken` parameter value. An error occurs if the other input
parameters are not the same as in the first request. Using a different
value for `ClientToken` is considered a new call to
`UpdateDatasetEntries`. An idempotency token is active for 8 hours.

**A suitable default value is auto-generated.** You should normally
not need to pass this option.**

@return [Types::UpdateDatasetEntriesResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::UpdateDatasetEntriesResponse#status #status} => String

@example Request syntax with placeholder values

resp = client.update_dataset_entries({
  project_name: "ProjectName", # required
  dataset_type: "DatasetType", # required
  changes: "data", # required
  client_token: "ClientToken",
})

@example Response structure

resp.status #=> String, one of "CREATE_IN_PROGRESS", "CREATE_COMPLETE", "CREATE_FAILED", "UPDATE_IN_PROGRESS", "UPDATE_COMPLETE", "UPDATE_FAILED_ROLLBACK_IN_PROGRESS", "UPDATE_FAILED_ROLLBACK_COMPLETE", "DELETE_IN_PROGRESS", "DELETE_COMPLETE", "DELETE_FAILED"

@see docs.aws.amazon.com/goto/WebAPI/lookoutvision-2020-11-20/UpdateDatasetEntries AWS API Documentation

@overload update_dataset_entries(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-lookoutforvision/client.rb, line 1411
def update_dataset_entries(params = {}, options = {})
  req = build_request(:update_dataset_entries, params)
  req.send_request(options)
end
waiter_names() click to toggle source

@api private @deprecated

# File lib/aws-sdk-lookoutforvision/client.rb, line 1435
def waiter_names
  []
end