Class: Aws::LookoutEquipment::Client

Inherits:
Seahorse::Client::Base show all
Includes:
ClientStubs
Defined in:
gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb

Overview

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

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

For details on configuring region and credentials see the developer guide.

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

Instance Attribute Summary

Attributes inherited from Seahorse::Client::Base

#config, #handlers

API Operations collapse

Instance Method Summary collapse

Methods included from ClientStubs

#api_requests, #stub_data, #stub_responses

Methods inherited from Seahorse::Client::Base

add_plugin, api, clear_plugins, define, new, #operation_names, plugins, remove_plugin, set_api, set_plugins

Methods included from Seahorse::Client::HandlerBuilder

#handle, #handle_request, #handle_response

Constructor Details

#initialize(options) ⇒ Client

Returns a new instance of Client.

Parameters:

  • options (Hash)

Options Hash (options):

  • :credentials (required, Aws::CredentialProvider)

    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.
  • :region (required, String)

    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
  • :access_key_id (String)
  • :active_endpoint_cache (Boolean) — default: false

    When set to true, a thread polling for endpoints will be running in the background every 60 secs (default). Defaults to false.

  • :adaptive_retry_wait_to_fill (Boolean) — default: 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.

  • :client_side_monitoring (Boolean) — default: false

    When true, client-side metrics will be collected for all API requests from this client.

  • :client_side_monitoring_client_id (String) — default: ""

    Allows you to provide an identifier for this client which will be attached to all generated client side metrics. Defaults to an empty string.

  • :client_side_monitoring_host (String) — default: "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.

  • :client_side_monitoring_port (Integer) — default: 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.

  • :client_side_monitoring_publisher (Aws::ClientSideMonitoring::Publisher) — default: Aws::ClientSideMonitoring::Publisher

    Allows you to provide a custom client-side monitoring publisher class. By default, will use the Client Side Monitoring Agent Publisher.

  • :convert_params (Boolean) — default: true

    When true, an attempt is made to coerce request parameters into the required types.

  • :correct_clock_skew (Boolean) — default: true

    Used only in standard and adaptive retry modes. Specifies whether to apply a clock skew correction and retry requests with skewed client clocks.

  • :disable_host_prefix_injection (Boolean) — default: false

    Set to true to disable SDK automatically adding host prefix to default service endpoint when available.

  • :endpoint (String)

    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.

  • :endpoint_cache_max_entries (Integer) — default: 1000

    Used for the maximum size limit of the LRU cache storing endpoints data for endpoint discovery enabled operations. Defaults to 1000.

  • :endpoint_cache_max_threads (Integer) — default: 10

    Used for the maximum threads in use for polling endpoints to be cached, defaults to 10.

  • :endpoint_cache_poll_interval (Integer) — default: 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.

  • :endpoint_discovery (Boolean) — default: false

    When set to true, endpoint discovery will be enabled for operations when available.

  • :log_formatter (Aws::Log::Formatter) — default: Aws::Log::Formatter.default

    The log formatter.

  • :log_level (Symbol) — default: :info

    The log level to send messages to the :logger at.

  • :logger (Logger)

    The Logger instance to send log messages to. If this option is not set, logging will be disabled.

  • :max_attempts (Integer) — default: 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.

  • :profile (String) — default: "default"

    Used when loading credentials from the shared credentials file at HOME/.aws/credentials. When not specified, 'default' is used.

  • :retry_backoff (Proc)

    A proc or lambda used for backoff. Defaults to 2**retries * retry_base_delay. This option is only used in the legacy retry mode.

  • :retry_base_delay (Float) — default: 0.3

    The base delay in seconds used by the default backoff function. This option is only used in the legacy retry mode.

  • :retry_jitter (Symbol) — default: :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

  • :retry_limit (Integer) — default: 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.

  • :retry_max_delay (Integer) — default: 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.

  • :retry_mode (String) — default: "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.

  • :secret_access_key (String)
  • :session_token (String)
  • :simple_json (Boolean) — default: false

    Disables request parameter conversion, validation, and formatting. Also disable response data type conversions. This option is useful when you want to ensure the highest level of performance by avoiding overhead of walking request parameters and response data structures.

    When :simple_json is enabled, the request parameters hash must be formatted exactly as the DynamoDB API expects.

  • :stub_responses (Boolean) — default: 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.

  • :validate_params (Boolean) — default: true

    When true, request parameters are validated before sending the request.

  • :http_proxy (URI::HTTP, String)

    A proxy to send requests through. Formatted like 'http://proxy.com:123'.

  • :http_open_timeout (Float) — default: 15

    The number of seconds to wait when opening a HTTP session before raising a Timeout::Error.

  • :http_read_timeout (Integer) — default: 60

    The default number of seconds to wait for response data. This value can safely be set per-request on the session.

  • :http_idle_timeout (Float) — default: 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.

  • :http_continue_timeout (Float) — default: 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.

  • :http_wire_trace (Boolean) — default: false

    When true, HTTP debug output will be sent to the :logger.

  • :ssl_verify_peer (Boolean) — default: true

    When true, SSL peer certificates are verified when establishing a connection.

  • :ssl_ca_bundle (String)

    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.

  • :ssl_ca_directory (String)

    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.



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 334

def initialize(*args)
  super
end

Instance Method Details

#create_dataset(params = {}) ⇒ Types::CreateDatasetResponse

Creates a container for a collection of data being ingested for analysis. The dataset contains the metadata describing where the data is and what the data actually looks like. In other words, it contains the location of the data source, the data schema, and other information. A dataset also contains any tags associated with the ingested data.

Examples:

Request syntax with placeholder values


resp = client.create_dataset({
  dataset_name: "DatasetName", # required
  dataset_schema: { # required
    inline_data_schema: "InlineDataSchema",
  },
  server_side_kms_key_id: "NameOrArn",
  client_token: "IdempotenceToken", # required
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
})

Response structure


resp.dataset_name #=> String
resp.dataset_arn #=> String
resp.status #=> String, one of "CREATED", "INGESTION_IN_PROGRESS", "ACTIVE"

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :dataset_name (required, String)

    The name of the dataset being created.

  • :dataset_schema (required, Types::DatasetSchema)

    A JSON description of the data that is in each time series dataset, including names, column names, and data types.

  • :server_side_kms_key_id (String)

    Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt dataset data by Amazon Lookout for Equipment.

  • :client_token (required, String)

    A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

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

  • :tags (Array<Types::Tag>)

    Any tags associated with the ingested data described in the dataset.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 401

def create_dataset(params = {}, options = {})
  req = build_request(:create_dataset, params)
  req.send_request(options)
end

#create_inference_scheduler(params = {}) ⇒ Types::CreateInferenceSchedulerResponse

Creates a scheduled inference. Scheduling an inference is setting up a continuous real-time inference plan to analyze new measurement data. When setting up the schedule, you provide an S3 bucket location for the input data, assign it a delimiter between separate entries in the data, set an offset delay if desired, and set the frequency of inferencing. You must also provide an S3 bucket location for the output data.

Examples:

Request syntax with placeholder values


resp = client.create_inference_scheduler({
  model_name: "ModelName", # required
  inference_scheduler_name: "InferenceSchedulerName", # required
  data_delay_offset_in_minutes: 1,
  data_upload_frequency: "PT5M", # required, accepts PT5M, PT10M, PT15M, PT30M, PT1H
  data_input_configuration: { # required
    s3_input_configuration: {
      bucket: "S3Bucket", # required
      prefix: "S3Prefix",
    },
    input_time_zone_offset: "TimeZoneOffset",
    inference_input_name_configuration: {
      timestamp_format: "FileNameTimestampFormat",
      component_timestamp_delimiter: "ComponentTimestampDelimiter",
    },
  },
  data_output_configuration: { # required
    s3_output_configuration: { # required
      bucket: "S3Bucket", # required
      prefix: "S3Prefix",
    },
    kms_key_id: "NameOrArn",
  },
  role_arn: "IamRoleArn", # required
  server_side_kms_key_id: "NameOrArn",
  client_token: "IdempotenceToken", # required
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
})

Response structure


resp.inference_scheduler_arn #=> String
resp.inference_scheduler_name #=> String
resp.status #=> String, one of "PENDING", "RUNNING", "STOPPING", "STOPPED"

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :model_name (required, String)

    The name of the previously trained ML model being used to create the inference scheduler.

  • :inference_scheduler_name (required, String)

    The name of the inference scheduler being created.

  • :data_delay_offset_in_minutes (Integer)

    A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.

  • :data_upload_frequency (required, String)

    How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

  • :data_input_configuration (required, Types::InferenceInputConfiguration)

    Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

  • :data_output_configuration (required, Types::InferenceOutputConfiguration)

    Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.

  • :role_arn (required, String)

    The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.

  • :server_side_kms_key_id (String)

    Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt inference scheduler data by Amazon Lookout for Equipment.

  • :client_token (required, String)

    A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

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

  • :tags (Array<Types::Tag>)

    Any tags associated with the inference scheduler.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 520

def create_inference_scheduler(params = {}, options = {})
  req = build_request(:create_inference_scheduler, params)
  req.send_request(options)
end

#create_model(params = {}) ⇒ Types::CreateModelResponse

Creates an ML model for data inference.

A machine-learning (ML) model is a mathematical model that finds patterns in your data. In Amazon Lookout for Equipment, the model learns the patterns of normal behavior and detects abnormal behavior that could be potential equipment failure (or maintenance events). The models are made by analyzing normal data and abnormalities in machine behavior that have already occurred.

Your model is trained using a portion of the data from your dataset and uses that data to learn patterns of normal behavior and abnormal patterns that lead to equipment failure. Another portion of the data is used to evaluate the model's accuracy.

Examples:

Request syntax with placeholder values


resp = client.create_model({
  model_name: "ModelName", # required
  dataset_name: "DatasetIdentifier", # required
  dataset_schema: {
    inline_data_schema: "InlineDataSchema",
  },
  labels_input_configuration: {
    s3_input_configuration: { # required
      bucket: "S3Bucket", # required
      prefix: "S3Prefix",
    },
  },
  client_token: "IdempotenceToken", # required
  training_data_start_time: Time.now,
  training_data_end_time: Time.now,
  evaluation_data_start_time: Time.now,
  evaluation_data_end_time: Time.now,
  role_arn: "IamRoleArn",
  data_pre_processing_configuration: {
    target_sampling_rate: "PT1S", # accepts PT1S, PT5S, PT10S, PT15S, PT30S, PT1M, PT5M, PT10M, PT15M, PT30M, PT1H
  },
  server_side_kms_key_id: "NameOrArn",
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
})

Response structure


resp.model_arn #=> String
resp.status #=> String, one of "IN_PROGRESS", "SUCCESS", "FAILED"

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :model_name (required, String)

    The name for the ML model to be created.

  • :dataset_name (required, String)

    The name of the dataset for the ML model being created.

  • :dataset_schema (Types::DatasetSchema)

    The data schema for the ML model being created.

  • :labels_input_configuration (Types::LabelsInputConfiguration)

    The input configuration for the labels being used for the ML model that's being created.

  • :client_token (required, String)

    A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

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

  • :training_data_start_time (Time, DateTime, Date, Integer, String)

    Indicates the time reference in the dataset that should be used to begin the subset of training data for the ML model.

  • :training_data_end_time (Time, DateTime, Date, Integer, String)

    Indicates the time reference in the dataset that should be used to end the subset of training data for the ML model.

  • :evaluation_data_start_time (Time, DateTime, Date, Integer, String)

    Indicates the time reference in the dataset that should be used to begin the subset of evaluation data for the ML model.

  • :evaluation_data_end_time (Time, DateTime, Date, Integer, String)

    Indicates the time reference in the dataset that should be used to end the subset of evaluation data for the ML model.

  • :role_arn (String)

    The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the ML model.

  • :data_pre_processing_configuration (Types::DataPreProcessingConfiguration)

    The configuration is the TargetSamplingRate, which is the sampling rate of the data after post processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1 second level and you want the system to resample the data at a 1 minute rate before training, the TargetSamplingRate is 1 minute.

    When providing a value for the TargetSamplingRate, you must attach the prefix "PT" to the rate you want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and the value for a 1 hour rate is PT1H

  • :server_side_kms_key_id (String)

    Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt model data by Amazon Lookout for Equipment.

  • :tags (Array<Types::Tag>)

    Any tags associated with the ML model being created.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 644

def create_model(params = {}, options = {})
  req = build_request(:create_model, params)
  req.send_request(options)
end

#delete_dataset(params = {}) ⇒ Struct

Deletes a dataset and associated artifacts. The operation will check to see if any inference scheduler or data ingestion job is currently using the dataset, and if there isn't, the dataset, its metadata, and any associated data stored in S3 will be deleted. This does not affect any models that used this dataset for training and evaluation, but does prevent it from being used in the future.

Examples:

Request syntax with placeholder values


resp = client.delete_dataset({
  dataset_name: "DatasetIdentifier", # required
})

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :dataset_name (required, String)

    The name of the dataset to be deleted.

Returns:

  • (Struct)

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 671

def delete_dataset(params = {}, options = {})
  req = build_request(:delete_dataset, params)
  req.send_request(options)
end

#delete_inference_scheduler(params = {}) ⇒ Struct

Deletes an inference scheduler that has been set up. Already processed output results are not affected.

Examples:

Request syntax with placeholder values


resp = client.delete_inference_scheduler({
  inference_scheduler_name: "InferenceSchedulerIdentifier", # required
})

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :inference_scheduler_name (required, String)

    The name of the inference scheduler to be deleted.

Returns:

  • (Struct)

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 694

def delete_inference_scheduler(params = {}, options = {})
  req = build_request(:delete_inference_scheduler, params)
  req.send_request(options)
end

#delete_model(params = {}) ⇒ Struct

Deletes an ML model currently available for Amazon Lookout for Equipment. This will prevent it from being used with an inference scheduler, even one that is already set up.

Examples:

Request syntax with placeholder values


resp = client.delete_model({
  model_name: "ModelName", # required
})

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :model_name (required, String)

    The name of the ML model to be deleted.

Returns:

  • (Struct)

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 718

def delete_model(params = {}, options = {})
  req = build_request(:delete_model, params)
  req.send_request(options)
end

#describe_data_ingestion_job(params = {}) ⇒ Types::DescribeDataIngestionJobResponse

Provides information on a specific data ingestion job such as creation time, dataset ARN, status, and so on.

Examples:

Request syntax with placeholder values


resp = client.describe_data_ingestion_job({
  job_id: "IngestionJobId", # required
})

Response structure


resp.job_id #=> String
resp.dataset_arn #=> String
resp.ingestion_input_configuration.s3_input_configuration.bucket #=> String
resp.ingestion_input_configuration.s3_input_configuration.prefix #=> String
resp.role_arn #=> String
resp.created_at #=> Time
resp.status #=> String, one of "IN_PROGRESS", "SUCCESS", "FAILED"
resp.failed_reason #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :job_id (required, String)

    The job ID of the data ingestion job.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 760

def describe_data_ingestion_job(params = {}, options = {})
  req = build_request(:describe_data_ingestion_job, params)
  req.send_request(options)
end

#describe_dataset(params = {}) ⇒ Types::DescribeDatasetResponse

Provides information on a specified dataset such as the schema location, status, and so on.

Examples:

Request syntax with placeholder values


resp = client.describe_dataset({
  dataset_name: "DatasetIdentifier", # required
})

Response structure


resp.dataset_name #=> String
resp.dataset_arn #=> String
resp.created_at #=> Time
resp.last_updated_at #=> Time
resp.status #=> String, one of "CREATED", "INGESTION_IN_PROGRESS", "ACTIVE"
resp.schema #=> String
resp.server_side_kms_key_id #=> String
resp.ingestion_input_configuration.s3_input_configuration.bucket #=> String
resp.ingestion_input_configuration.s3_input_configuration.prefix #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :dataset_name (required, String)

    The name of the dataset to be described.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 804

def describe_dataset(params = {}, options = {})
  req = build_request(:describe_dataset, params)
  req.send_request(options)
end

#describe_inference_scheduler(params = {}) ⇒ Types::DescribeInferenceSchedulerResponse

Specifies information about the inference scheduler being used, including name, model, status, and associated metadata

Examples:

Request syntax with placeholder values


resp = client.describe_inference_scheduler({
  inference_scheduler_name: "InferenceSchedulerIdentifier", # required
})

Response structure


resp.model_arn #=> String
resp.model_name #=> String
resp.inference_scheduler_name #=> String
resp.inference_scheduler_arn #=> String
resp.status #=> String, one of "PENDING", "RUNNING", "STOPPING", "STOPPED"
resp.data_delay_offset_in_minutes #=> Integer
resp.data_upload_frequency #=> String, one of "PT5M", "PT10M", "PT15M", "PT30M", "PT1H"
resp.created_at #=> Time
resp.updated_at #=> Time
resp.data_input_configuration.s3_input_configuration.bucket #=> String
resp.data_input_configuration.s3_input_configuration.prefix #=> String
resp.data_input_configuration.input_time_zone_offset #=> String
resp.data_input_configuration.inference_input_name_configuration.timestamp_format #=> String
resp.data_input_configuration.inference_input_name_configuration.component_timestamp_delimiter #=> String
resp.data_output_configuration.s3_output_configuration.bucket #=> String
resp.data_output_configuration.s3_output_configuration.prefix #=> String
resp.data_output_configuration.kms_key_id #=> String
resp.role_arn #=> String
resp.server_side_kms_key_id #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :inference_scheduler_name (required, String)

    The name of the inference scheduler being described.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 863

def describe_inference_scheduler(params = {}, options = {})
  req = build_request(:describe_inference_scheduler, params)
  req.send_request(options)
end

#describe_model(params = {}) ⇒ Types::DescribeModelResponse

Provides overall information about a specific ML model, including model name and ARN, dataset, training and evaluation information, status, and so on.

Examples:

Request syntax with placeholder values


resp = client.describe_model({
  model_name: "ModelName", # required
})

Response structure


resp.model_name #=> String
resp.model_arn #=> String
resp.dataset_name #=> String
resp.dataset_arn #=> String
resp.schema #=> String
resp.labels_input_configuration.s3_input_configuration.bucket #=> String
resp.labels_input_configuration.s3_input_configuration.prefix #=> String
resp.training_data_start_time #=> Time
resp.training_data_end_time #=> Time
resp.evaluation_data_start_time #=> Time
resp.evaluation_data_end_time #=> Time
resp.role_arn #=> String
resp.data_pre_processing_configuration.target_sampling_rate #=> String, one of "PT1S", "PT5S", "PT10S", "PT15S", "PT30S", "PT1M", "PT5M", "PT10M", "PT15M", "PT30M", "PT1H"
resp.status #=> String, one of "IN_PROGRESS", "SUCCESS", "FAILED"
resp.training_execution_start_time #=> Time
resp.training_execution_end_time #=> Time
resp.failed_reason #=> String
resp.model_metrics #=> String
resp.last_updated_time #=> Time
resp.created_at #=> Time
resp.server_side_kms_key_id #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :model_name (required, String)

    The name of the ML model to be described.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 932

def describe_model(params = {}, options = {})
  req = build_request(:describe_model, params)
  req.send_request(options)
end

#list_data_ingestion_jobs(params = {}) ⇒ Types::ListDataIngestionJobsResponse

Provides a list of all data ingestion jobs, including dataset name and ARN, S3 location of the input data, status, and so on.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.list_data_ingestion_jobs({
  dataset_name: "DatasetName",
  next_token: "NextToken",
  max_results: 1,
  status: "IN_PROGRESS", # accepts IN_PROGRESS, SUCCESS, FAILED
})

Response structure


resp.next_token #=> String
resp.data_ingestion_job_summaries #=> Array
resp.data_ingestion_job_summaries[0].job_id #=> String
resp.data_ingestion_job_summaries[0].dataset_name #=> String
resp.data_ingestion_job_summaries[0].dataset_arn #=> String
resp.data_ingestion_job_summaries[0].ingestion_input_configuration.s3_input_configuration.bucket #=> String
resp.data_ingestion_job_summaries[0].ingestion_input_configuration.s3_input_configuration.prefix #=> String
resp.data_ingestion_job_summaries[0].status #=> String, one of "IN_PROGRESS", "SUCCESS", "FAILED"

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :dataset_name (String)

    The name of the dataset being used for the data ingestion job.

  • :next_token (String)

    An opaque pagination token indicating where to continue the listing of data ingestion jobs.

  • :max_results (Integer)

    Specifies the maximum number of data ingestion jobs to list.

  • :status (String)

    Indicates the status of the data ingestion job.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 984

def list_data_ingestion_jobs(params = {}, options = {})
  req = build_request(:list_data_ingestion_jobs, params)
  req.send_request(options)
end

#list_datasets(params = {}) ⇒ Types::ListDatasetsResponse

Lists all datasets currently available in your account, filtering on the dataset name.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.list_datasets({
  next_token: "NextToken",
  max_results: 1,
  dataset_name_begins_with: "DatasetName",
})

Response structure


resp.next_token #=> String
resp.dataset_summaries #=> Array
resp.dataset_summaries[0].dataset_name #=> String
resp.dataset_summaries[0].dataset_arn #=> String
resp.dataset_summaries[0].status #=> String, one of "CREATED", "INGESTION_IN_PROGRESS", "ACTIVE"
resp.dataset_summaries[0].created_at #=> Time

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :next_token (String)

    An opaque pagination token indicating where to continue the listing of datasets.

  • :max_results (Integer)

    Specifies the maximum number of datasets to list.

  • :dataset_name_begins_with (String)

    The beginning of the name of the datasets to be listed.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1030

def list_datasets(params = {}, options = {})
  req = build_request(:list_datasets, params)
  req.send_request(options)
end

#list_inference_executions(params = {}) ⇒ Types::ListInferenceExecutionsResponse

Lists all inference executions that have been performed by the specified inference scheduler.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.list_inference_executions({
  next_token: "NextToken",
  max_results: 1,
  inference_scheduler_name: "InferenceSchedulerIdentifier", # required
  data_start_time_after: Time.now,
  data_end_time_before: Time.now,
  status: "IN_PROGRESS", # accepts IN_PROGRESS, SUCCESS, FAILED
})

Response structure


resp.next_token #=> String
resp.inference_execution_summaries #=> Array
resp.inference_execution_summaries[0].model_name #=> String
resp.inference_execution_summaries[0].model_arn #=> String
resp.inference_execution_summaries[0].inference_scheduler_name #=> String
resp.inference_execution_summaries[0].inference_scheduler_arn #=> String
resp.inference_execution_summaries[0].scheduled_start_time #=> Time
resp.inference_execution_summaries[0].data_start_time #=> Time
resp.inference_execution_summaries[0].data_end_time #=> Time
resp.inference_execution_summaries[0].data_input_configuration.s3_input_configuration.bucket #=> String
resp.inference_execution_summaries[0].data_input_configuration.s3_input_configuration.prefix #=> String
resp.inference_execution_summaries[0].data_input_configuration.input_time_zone_offset #=> String
resp.inference_execution_summaries[0].data_input_configuration.inference_input_name_configuration.timestamp_format #=> String
resp.inference_execution_summaries[0].data_input_configuration.inference_input_name_configuration.component_timestamp_delimiter #=> String
resp.inference_execution_summaries[0].data_output_configuration.s3_output_configuration.bucket #=> String
resp.inference_execution_summaries[0].data_output_configuration.s3_output_configuration.prefix #=> String
resp.inference_execution_summaries[0].data_output_configuration.kms_key_id #=> String
resp.inference_execution_summaries[0].customer_result_object.bucket #=> String
resp.inference_execution_summaries[0].customer_result_object.key #=> String
resp.inference_execution_summaries[0].status #=> String, one of "IN_PROGRESS", "SUCCESS", "FAILED"
resp.inference_execution_summaries[0].failed_reason #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :next_token (String)

    An opaque pagination token indicating where to continue the listing of inference executions.

  • :max_results (Integer)

    Specifies the maximum number of inference executions to list.

  • :inference_scheduler_name (required, String)

    The name of the inference scheduler for the inference execution listed.

  • :data_start_time_after (Time, DateTime, Date, Integer, String)

    The time reference in the inferenced dataset after which Amazon Lookout for Equipment started the inference execution.

  • :data_end_time_before (Time, DateTime, Date, Integer, String)

    The time reference in the inferenced dataset before which Amazon Lookout for Equipment stopped the inference execution.

  • :status (String)

    The status of the inference execution.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1106

def list_inference_executions(params = {}, options = {})
  req = build_request(:list_inference_executions, params)
  req.send_request(options)
end

#list_inference_schedulers(params = {}) ⇒ Types::ListInferenceSchedulersResponse

Retrieves a list of all inference schedulers currently available for your account.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.list_inference_schedulers({
  next_token: "NextToken",
  max_results: 1,
  inference_scheduler_name_begins_with: "InferenceSchedulerIdentifier",
  model_name: "ModelName",
})

Response structure


resp.next_token #=> String
resp.inference_scheduler_summaries #=> Array
resp.inference_scheduler_summaries[0].model_name #=> String
resp.inference_scheduler_summaries[0].model_arn #=> String
resp.inference_scheduler_summaries[0].inference_scheduler_name #=> String
resp.inference_scheduler_summaries[0].inference_scheduler_arn #=> String
resp.inference_scheduler_summaries[0].status #=> String, one of "PENDING", "RUNNING", "STOPPING", "STOPPED"
resp.inference_scheduler_summaries[0].data_delay_offset_in_minutes #=> Integer
resp.inference_scheduler_summaries[0].data_upload_frequency #=> String, one of "PT5M", "PT10M", "PT15M", "PT30M", "PT1H"

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :next_token (String)

    An opaque pagination token indicating where to continue the listing of inference schedulers.

  • :max_results (Integer)

    Specifies the maximum number of inference schedulers to list.

  • :inference_scheduler_name_begins_with (String)

    The beginning of the name of the inference schedulers to be listed.

  • :model_name (String)

    The name of the ML model used by the inference scheduler to be listed.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1159

def list_inference_schedulers(params = {}, options = {})
  req = build_request(:list_inference_schedulers, params)
  req.send_request(options)
end

#list_models(params = {}) ⇒ Types::ListModelsResponse

Generates a list of all models in the account, including model name and ARN, dataset, and status.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.list_models({
  next_token: "NextToken",
  max_results: 1,
  status: "IN_PROGRESS", # accepts IN_PROGRESS, SUCCESS, FAILED
  model_name_begins_with: "ModelName",
  dataset_name_begins_with: "DatasetName",
})

Response structure


resp.next_token #=> String
resp.model_summaries #=> Array
resp.model_summaries[0].model_name #=> String
resp.model_summaries[0].model_arn #=> String
resp.model_summaries[0].dataset_name #=> String
resp.model_summaries[0].dataset_arn #=> String
resp.model_summaries[0].status #=> String, one of "IN_PROGRESS", "SUCCESS", "FAILED"
resp.model_summaries[0].created_at #=> Time

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :next_token (String)

    An opaque pagination token indicating where to continue the listing of ML models.

  • :max_results (Integer)

    Specifies the maximum number of ML models to list.

  • :status (String)

    The status of the ML model.

  • :model_name_begins_with (String)

    The beginning of the name of the ML models being listed.

  • :dataset_name_begins_with (String)

    The beginning of the name of the dataset of the ML models to be listed.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1216

def list_models(params = {}, options = {})
  req = build_request(:list_models, params)
  req.send_request(options)
end

#list_tags_for_resource(params = {}) ⇒ Types::ListTagsForResourceResponse

Lists all the tags for a specified resource, including key and value.

Examples:

Request syntax with placeholder values


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

Response structure


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

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :resource_arn (required, String)

    The Amazon Resource Name (ARN) of the resource (such as the dataset or model) that is the focus of the ListTagsForResource operation.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1247

def list_tags_for_resource(params = {}, options = {})
  req = build_request(:list_tags_for_resource, params)
  req.send_request(options)
end

#start_data_ingestion_job(params = {}) ⇒ Types::StartDataIngestionJobResponse

Starts a data ingestion job. Amazon Lookout for Equipment returns the job status.

Examples:

Request syntax with placeholder values


resp = client.start_data_ingestion_job({
  dataset_name: "DatasetIdentifier", # required
  ingestion_input_configuration: { # required
    s3_input_configuration: { # required
      bucket: "S3Bucket", # required
      prefix: "S3Prefix",
    },
  },
  role_arn: "IamRoleArn", # required
  client_token: "IdempotenceToken", # required
})

Response structure


resp.job_id #=> String
resp.status #=> String, one of "IN_PROGRESS", "SUCCESS", "FAILED"

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :dataset_name (required, String)

    The name of the dataset being used by the data ingestion job.

  • :ingestion_input_configuration (required, Types::IngestionInputConfiguration)

    Specifies information for the input data for the data ingestion job, including dataset S3 location.

  • :role_arn (required, String)

    The Amazon Resource Name (ARN) of a role with permission to access the data source for the data ingestion job.

  • :client_token (required, String)

    A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

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

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1301

def start_data_ingestion_job(params = {}, options = {})
  req = build_request(:start_data_ingestion_job, params)
  req.send_request(options)
end

#start_inference_scheduler(params = {}) ⇒ Types::StartInferenceSchedulerResponse

Starts an inference scheduler.

Examples:

Request syntax with placeholder values


resp = client.start_inference_scheduler({
  inference_scheduler_name: "InferenceSchedulerIdentifier", # required
})

Response structure


resp.model_arn #=> String
resp.model_name #=> String
resp.inference_scheduler_name #=> String
resp.inference_scheduler_arn #=> String
resp.status #=> String, one of "PENDING", "RUNNING", "STOPPING", "STOPPED"

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :inference_scheduler_name (required, String)

    The name of the inference scheduler to be started.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1337

def start_inference_scheduler(params = {}, options = {})
  req = build_request(:start_inference_scheduler, params)
  req.send_request(options)
end

#stop_inference_scheduler(params = {}) ⇒ Types::StopInferenceSchedulerResponse

Stops an inference scheduler.

Examples:

Request syntax with placeholder values


resp = client.stop_inference_scheduler({
  inference_scheduler_name: "InferenceSchedulerIdentifier", # required
})

Response structure


resp.model_arn #=> String
resp.model_name #=> String
resp.inference_scheduler_name #=> String
resp.inference_scheduler_arn #=> String
resp.status #=> String, one of "PENDING", "RUNNING", "STOPPING", "STOPPED"

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :inference_scheduler_name (required, String)

    The name of the inference scheduler to be stopped.

Returns:

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1373

def stop_inference_scheduler(params = {}, options = {})
  req = build_request(:stop_inference_scheduler, params)
  req.send_request(options)
end

#tag_resource(params = {}) ⇒ Struct

Associates a given tag to a resource in your account. A tag is a key-value pair which can be added to an Amazon Lookout for Equipment resource as metadata. Tags can be used for organizing your resources as well as helping you to search and filter by tag. Multiple tags can be added to a resource, either when you create it, or later. Up to 50 tags can be associated with each resource.

Examples:

Request syntax with placeholder values


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

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :resource_arn (required, String)

    The Amazon Resource Name (ARN) of the specific resource to which the tag should be associated.

  • :tags (required, Array<Types::Tag>)

    The tag or tags to be associated with a specific resource. Both the tag key and value are specified.

Returns:

  • (Struct)

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1411

def tag_resource(params = {}, options = {})
  req = build_request(:tag_resource, params)
  req.send_request(options)
end

#untag_resource(params = {}) ⇒ Struct

Removes a specific tag from a given resource. The tag is specified by its key.

Examples:

Request syntax with placeholder values


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

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :resource_arn (required, String)

    The Amazon Resource Name (ARN) of the resource to which the tag is currently associated.

  • :tag_keys (required, Array<String>)

    Specifies the key of the tag to be removed from a specified resource.

Returns:

  • (Struct)

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1439

def untag_resource(params = {}, options = {})
  req = build_request(:untag_resource, params)
  req.send_request(options)
end

#update_inference_scheduler(params = {}) ⇒ Struct

Updates an inference scheduler.

Examples:

Request syntax with placeholder values


resp = client.update_inference_scheduler({
  inference_scheduler_name: "InferenceSchedulerIdentifier", # required
  data_delay_offset_in_minutes: 1,
  data_upload_frequency: "PT5M", # accepts PT5M, PT10M, PT15M, PT30M, PT1H
  data_input_configuration: {
    s3_input_configuration: {
      bucket: "S3Bucket", # required
      prefix: "S3Prefix",
    },
    input_time_zone_offset: "TimeZoneOffset",
    inference_input_name_configuration: {
      timestamp_format: "FileNameTimestampFormat",
      component_timestamp_delimiter: "ComponentTimestampDelimiter",
    },
  },
  data_output_configuration: {
    s3_output_configuration: { # required
      bucket: "S3Bucket", # required
      prefix: "S3Prefix",
    },
    kms_key_id: "NameOrArn",
  },
  role_arn: "IamRoleArn",
})

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :inference_scheduler_name (required, String)

    The name of the inference scheduler to be updated.

  • :data_delay_offset_in_minutes (Integer)

    > A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.

  • :data_upload_frequency (String)

    How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

  • :data_input_configuration (Types::InferenceInputConfiguration)

    Specifies information for the input data for the inference scheduler, including delimiter, format, and dataset location.

  • :data_output_configuration (Types::InferenceOutputConfiguration)

    Specifies information for the output results from the inference scheduler, including the output S3 location.

  • :role_arn (String)

    The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler.

Returns:

  • (Struct)

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/client.rb', line 1514

def update_inference_scheduler(params = {}, options = {})
  req = build_request(:update_inference_scheduler, params)
  req.send_request(options)
end