Class: Aws::ForecastService::Client

Inherits:
Seahorse::Client::Base
  • Object
show all
Includes:
ClientStubs
Defined in:
lib/aws-sdk-forecastservice/client.rb

Overview

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

client = Aws::ForecastService::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.

Class Attribute Summary collapse

API Operations collapse

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(options) ⇒ Client

Returns a new instance of Client.

Parameters:

  • options (Hash)

Options Hash (options):

  • :plugins (Array<Seahorse::Client::Plugin>) — default: []] —

    A list of plugins to apply to the client. Each plugin is either a class name or an instance of a plugin class.

  • :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`

    • The ‘:access_key_id`, `:secret_access_key`, and `:session_token` options.

    • ENV, ENV

    • ‘~/.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. Instance profile credential fetching can be disabled by setting ENV to true.

  • :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:

  • :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.

  • :defaults_mode (String) — default: "legacy" —

    See DefaultsModeConfiguration for a list of the accepted modes and the configuration defaults that are included.

  • :disable_host_prefix_injection (Boolean) — default: false —

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

  • :disable_request_compression (Boolean) — default: false —

    When set to ‘true’ the request body will not be compressed for supported operations.

  • :endpoint (String, URI::HTTPS, URI::HTTP) —

    Normally you should not configure the ‘:endpoint` option directly. This is normally constructed from the `:region` option. Configuring `:endpoint` is normally reserved for connecting to test or custom endpoints. The endpoint should be a URI formatted like:

    'http://example.com'
'https://example.com'
'http://example.com:123'
  • :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.

  • :ignore_configured_endpoint_urls (Boolean) —

    Setting to true disables use of endpoint URLs provided via environment variables and the shared configuration file.

  • :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.

  • :request_min_compression_size_bytes (Integer) — default: 10240 —

    The minimum size in bytes that triggers compression for request bodies. The value must be non-negative integer value between 0 and 10485780 bytes inclusive.

  • :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 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.

  • :sdk_ua_app_id (String) —

    A unique and opaque application ID that is appended to the User-Agent header as app/sdk_ua_app_id. It should have a maximum length of 50. This variable is sourced from environment variable AWS_SDK_UA_APP_ID or the shared config profile attribute sdk_ua_app_id.

  • :secret_access_key (String)
  • :session_token (String)
  • :sigv4a_signing_region_set (Array) —

    A list of regions that should be signed with SigV4a signing. When not passed, a default ‘:sigv4a_signing_region_set` is searched for in the following locations:

  • :simple_json (Boolean) — default: false —

    Disables request parameter conversion, validation, and formatting. Also disables response data type conversions. The request parameters hash must be formatted exactly as the API expects.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.

  • :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.

  • :telemetry_provider (Aws::Telemetry::TelemetryProviderBase) — default: Aws::Telemetry::NoOpTelemetryProvider —

    Allows you to provide a telemetry provider, which is used to emit telemetry data. By default, uses ‘NoOpTelemetryProvider` which will not record or emit any telemetry data. The SDK supports the following telemetry providers:

    • OpenTelemetry (OTel) - To use the OTel provider, install and require the

    ‘opentelemetry-sdk` gem and then, pass in an instance of a `Aws::Telemetry::OTelProvider` for telemetry provider.

  • :token_provider (Aws::TokenProvider) —

    A Bearer Token Provider. This can be an instance of any one of the following classes:

    • ‘Aws::StaticTokenProvider` - Used for configuring static, non-refreshing tokens.

    • ‘Aws::SSOTokenProvider` - Used for loading tokens from AWS SSO using an access token generated from `aws login`.

    When ‘:token_provider` is not configured directly, the `Aws::TokenProviderChain` will be used to search for tokens configured for your profile in shared configuration files.

  • :use_dualstack_endpoint (Boolean) —

    When set to ‘true`, dualstack enabled endpoints (with `.aws` TLD) will be used if available.

  • :use_fips_endpoint (Boolean) —

    When set to ‘true`, fips compatible endpoints will be used if available. When a `fips` region is used, the region is normalized and this config is set to `true`.

  • :validate_params (Boolean) — default: true —

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

  • :endpoint_provider (Aws::ForecastService::EndpointProvider) —

    The endpoint provider used to resolve endpoints. Any object that responds to ‘#resolve_endpoint(parameters)` where `parameters` is a Struct similar to `Aws::ForecastService::EndpointParameters`

  • :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_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_open_timeout (Float) — default: 15 —

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

  • :http_proxy (URI::HTTP, String) —

    A proxy to send requests through. Formatted like ‘proxy.com:123’.

  • :http_read_timeout (Float) — default: 60 —

    The default number of seconds to wait for response data. 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`.

  • :on_chunk_received (Proc) —

    When a Proc object is provided, it will be used as callback when each chunk of the response body is received. It provides three arguments: the chunk, the number of bytes received, and the total number of bytes in the response (or nil if the server did not send a ‘content-length`).

  • :on_chunk_sent (Proc) —

    When a Proc object is provided, it will be used as callback when each chunk of the request body is sent. It provides three arguments: the chunk, the number of bytes read from the body, and the total number of bytes in the body.

  • :raise_response_errors (Boolean) — default: true —

    When ‘true`, response errors are raised.

  • :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.

  • :ssl_ca_store (String) —

    Sets the X509::Store to verify peer certificate.

  • :ssl_timeout (Float) —

    Sets the SSL timeout in seconds

  • :ssl_verify_peer (Boolean) — default: true —

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



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# File 'lib/aws-sdk-forecastservice/client.rb', line 441

def initialize(*args)
  super
end

Class Attribute Details

.identifier ⇒ Object (readonly)

This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future. 



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# File 'lib/aws-sdk-forecastservice/client.rb', line 5361

def identifier
  @identifier
end

Class Method Details

.errors_module ⇒ Object

This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future. 



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# File 'lib/aws-sdk-forecastservice/client.rb', line 5364

def errors_module
  Errors
end

Instance Method Details

#build_request(operation_name, params = {}) ⇒ Object

This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.

Parameters:

  • params ({}) (defaults to: {}) 


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# File 'lib/aws-sdk-forecastservice/client.rb', line 5334

def build_request(operation_name, params = {})
  handlers = @handlers.for(operation_name)
  tracer = config.telemetry_provider.tracer_provider.tracer(
    Aws::Telemetry.module_to_tracer_name('Aws::ForecastService')
  )
  context = Seahorse::Client::RequestContext.new(
    operation_name: operation_name,
    operation: config.api.operation(operation_name),
    client: self,
    params: params,
    config: config,
    tracer: tracer
  )
  context[:gem_name] = 'aws-sdk-forecastservice'
  context[:gem_version] = '1.59.0'
  Seahorse::Client::Request.new(handlers, context)
end

#create_auto_predictor(params = {}) ⇒ Types::CreateAutoPredictorResponse

Creates an Amazon Forecast predictor.

Amazon Forecast creates predictors with AutoPredictor, which involves applying the optimal combination of algorithms to each time series in your datasets. You can use CreateAutoPredictor to create new predictors or upgrade/retrain existing predictors.

**Creating new predictors**

The following parameters are required when creating a new predictor:

  • ‘PredictorName` - A unique name for the predictor.

  • ‘DatasetGroupArn` - The ARN of the dataset group used to train the predictor.

  • ‘ForecastFrequency` - The granularity of your forecasts (hourly, daily, weekly, etc).

  • ‘ForecastHorizon` - The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.

When creating a new predictor, do not specify a value for ‘ReferencePredictorArn`.

**Upgrading and retraining predictors**

The following parameters are required when retraining or upgrading a predictor:

  • ‘PredictorName` - A unique name for the predictor.

  • ‘ReferencePredictorArn` - The ARN of the predictor to retrain or upgrade.

When upgrading or retraining a predictor, only specify values for the ‘ReferencePredictorArn` and `PredictorName`.

Examples:

Request syntax with placeholder values


resp = client.create_auto_predictor({
  predictor_name: "Name", # required
  forecast_horizon: 1,
  forecast_types: ["ForecastType"],
  forecast_dimensions: ["Name"],
  forecast_frequency: "Frequency",
  data_config: {
    dataset_group_arn: "Arn", # required
    attribute_configs: [
      {
        attribute_name: "Name", # required
        transformations: { # required
          "Name" => "Value",
        },
      },
    ],
    additional_datasets: [
      {
        name: "Name", # required
        configuration: {
          "Name" => ["Value"],
        },
      },
    ],
  },
  encryption_config: {
    role_arn: "Arn", # required
    kms_key_arn: "KMSKeyArn", # required
  },
  reference_predictor_arn: "Arn",
  optimization_metric: "WAPE", # accepts WAPE, RMSE, AverageWeightedQuantileLoss, MASE, MAPE
  explain_predictor: false,
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
  monitor_config: {
    monitor_name: "Name", # required
  },
  time_alignment_boundary: {
    month: "JANUARY", # accepts JANUARY, FEBRUARY, MARCH, APRIL, MAY, JUNE, JULY, AUGUST, SEPTEMBER, OCTOBER, NOVEMBER, DECEMBER
    day_of_month: 1,
    day_of_week: "MONDAY", # accepts MONDAY, TUESDAY, WEDNESDAY, THURSDAY, FRIDAY, SATURDAY, SUNDAY
    hour: 1,
  },
})

Response structure


resp.predictor_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :predictor_name (required, String) —

    A unique name for the predictor

  • :forecast_horizon (Integer) —

    The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.

    The maximum forecast horizon is the lesser of 500 time-steps or 1/4 of the TARGET_TIME_SERIES dataset length. If you are retraining an existing AutoPredictor, then the maximum forecast horizon is the lesser of 500 time-steps or 1/3 of the TARGET_TIME_SERIES dataset length.

    If you are upgrading to an AutoPredictor or retraining an existing AutoPredictor, you cannot update the forecast horizon parameter. You can meet this requirement by providing longer time-series in the dataset.

  • :forecast_types (Array<String>) —

    The forecast types used to train a predictor. You can specify up to five forecast types. Forecast types can be quantiles from 0.01 to 0.99, by increments of 0.01 or higher. You can also specify the mean forecast with ‘mean`.

  • :forecast_dimensions (Array<String>) —

    An array of dimension (field) names that specify how to group the generated forecast.

    For example, if you are generating forecasts for item sales across all your stores, and your dataset contains a ‘store_id` field, you would specify `store_id` as a dimension to group sales forecasts for each store.

  • :forecast_frequency (String) —

    The frequency of predictions in a forecast.

    Valid intervals are an integer followed by Y (Year), M (Month), W (Week), D (Day), H (Hour), and min (Minute). For example, “1D” indicates every day and “15min” indicates every 15 minutes. You cannot specify a value that would overlap with the next larger frequency. That means, for example, you cannot specify a frequency of 60 minutes, because that is equivalent to 1 hour. The valid values for each frequency are the following:

    • Minute - 1-59

    • Hour - 1-23

    • Day - 1-6

    • Week - 1-4

    • Month - 1-11

    • Year - 1

    Thus, if you want every other week forecasts, specify “2W”. Or, if you want quarterly forecasts, you specify “3M”.

    The frequency must be greater than or equal to the TARGET_TIME_SERIES dataset frequency.

    When a RELATED_TIME_SERIES dataset is provided, the frequency must be equal to the RELATED_TIME_SERIES dataset frequency.

  • :data_config (Types::DataConfig) —

    The data configuration for your dataset group and any additional datasets.

  • :encryption_config (Types::EncryptionConfig) —

    An Key Management Service (KMS) key and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key. You can specify this optional object in the CreateDataset and CreatePredictor requests.

  • :reference_predictor_arn (String) —

    The ARN of the predictor to retrain or upgrade. This parameter is only used when retraining or upgrading a predictor. When creating a new predictor, do not specify a value for this parameter.

    When upgrading or retraining a predictor, only specify values for the ‘ReferencePredictorArn` and `PredictorName`. The value for `PredictorName` must be a unique predictor name.

  • :optimization_metric (String) —

    The accuracy metric used to optimize the predictor.

  • :explain_predictor (Boolean) —

    Create an Explainability resource for the predictor.

  • :tags (Array<Types::Tag>) —

    Optional metadata to help you categorize and organize your predictors. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.

    The following restrictions apply to tags:

    • For each resource, each tag key must be unique and each tag key must have one value.

    • Maximum number of tags per resource: 50.

    • Maximum key length: 128 Unicode characters in UTF-8.

    • Maximum value length: 256 Unicode characters in UTF-8.

    • Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.

    • Key prefixes cannot include any upper or lowercase combination of ‘aws:` or `AWS:`. Values can have this prefix. If a tag value has `aws` as its prefix but the key does not, Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of `aws` do not count against your tags per resource limit. You cannot edit or delete tag keys with this prefix.

  • :monitor_config (Types::MonitorConfig) —

    The configuration details for predictor monitoring. Provide a name for the monitor resource to enable predictor monitoring.

    Predictor monitoring allows you to see how your predictor’s performance changes over time. For more information, see [Predictor Monitoring].

    [1]: docs.aws.amazon.com/forecast/latest/dg/predictor-monitoring.html

  • :time_alignment_boundary (Types::TimeAlignmentBoundary) —

    The time boundary Forecast uses to align and aggregate any data that doesn’t align with your forecast frequency. Provide the unit of time and the time boundary as a key value pair. For more information on specifying a time boundary, see [Specifying a Time Boundary]. If you don’t provide a time boundary, Forecast uses a set of [Default Time Boundaries].

    [1]: docs.aws.amazon.com/forecast/latest/dg/data-aggregation.html#specifying-time-boundary [2]: docs.aws.amazon.com/forecast/latest/dg/data-aggregation.html#default-time-boundaries

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 691

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

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

Creates an Amazon Forecast dataset. The information about the dataset that you provide helps Forecast understand how to consume the data for model training. This includes the following:

  • DataFrequency - How frequently your historical time-series data is collected.

  • Domain and DatasetType - Each dataset has an associated dataset domain and a type within the domain. Amazon Forecast provides a list of predefined domains and types within each domain. For each unique dataset domain and type within the domain, Amazon Forecast requires your data to include a minimum set of predefined fields.

  • Schema - A schema specifies the fields in the dataset, including the field name and data type.

After creating a dataset, you import your training data into it and add the dataset to a dataset group. You use the dataset group to create a predictor. For more information, see [Importing datasets].

To get a list of all your datasets, use the [ListDatasets] operation.

For example Forecast datasets, see the [Amazon Forecast Sample GitHub repository].

<note markdown=“1”> The ‘Status` of a dataset must be `ACTIVE` before you can import training data. Use the [DescribeDataset] operation to get the status.

</note>

[1]: docs.aws.amazon.com/forecast/latest/dg/howitworks-datasets-groups.html [2]: docs.aws.amazon.com/forecast/latest/dg/API_ListDatasets.html [3]: github.com/aws-samples/amazon-forecast-samples [4]: docs.aws.amazon.com/forecast/latest/dg/API_DescribeDataset.html

Examples:

Request syntax with placeholder values


resp = client.create_dataset({
  dataset_name: "Name", # required
  domain: "RETAIL", # required, accepts RETAIL, CUSTOM, INVENTORY_PLANNING, EC2_CAPACITY, WORK_FORCE, WEB_TRAFFIC, METRICS
  dataset_type: "TARGET_TIME_SERIES", # required, accepts TARGET_TIME_SERIES, RELATED_TIME_SERIES, ITEM_METADATA
  data_frequency: "Frequency",
  schema: { # required
    attributes: [
      {
        attribute_name: "Name",
        attribute_type: "string", # accepts string, integer, float, timestamp, geolocation
      },
    ],
  },
  encryption_config: {
    role_arn: "Arn", # required
    kms_key_arn: "KMSKeyArn", # required
  },
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
})

Response structure


resp.dataset_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_name (required, String) —

    A name for the dataset.

  • :domain (required, String) —

    The domain associated with the dataset. When you add a dataset to a dataset group, this value and the value specified for the ‘Domain` parameter of the [CreateDatasetGroup] operation must match.

    The ‘Domain` and `DatasetType` that you choose determine the fields that must be present in the training data that you import to the dataset. For example, if you choose the `RETAIL` domain and `TARGET_TIME_SERIES` as the `DatasetType`, Amazon Forecast requires `item_id`, `timestamp`, and `demand` fields to be present in your data. For more information, see [Importing datasets].

    [1]: docs.aws.amazon.com/forecast/latest/dg/API_CreateDatasetGroup.html [2]: docs.aws.amazon.com/forecast/latest/dg/howitworks-datasets-groups.html

  • :dataset_type (required, String) —

    The dataset type. Valid values depend on the chosen ‘Domain`.

  • :data_frequency (String) —

    The frequency of data collection. This parameter is required for RELATED_TIME_SERIES datasets.

    Valid intervals are an integer followed by Y (Year), M (Month), W (Week), D (Day), H (Hour), and min (Minute). For example, “1D” indicates every day and “15min” indicates every 15 minutes. You cannot specify a value that would overlap with the next larger frequency. That means, for example, you cannot specify a frequency of 60 minutes, because that is equivalent to 1 hour. The valid values for each frequency are the following:

    • Minute - 1-59

    • Hour - 1-23

    • Day - 1-6

    • Week - 1-4

    • Month - 1-11

    • Year - 1

    Thus, if you want every other week forecasts, specify “2W”. Or, if you want quarterly forecasts, you specify “3M”.

  • :schema (required, Types::Schema) —

    The schema for the dataset. The schema attributes and their order must match the fields in your data. The dataset ‘Domain` and `DatasetType` that you choose determine the minimum required fields in your training data. For information about the required fields for a specific dataset domain and type, see [Dataset Domains and Dataset Types].

    [1]: docs.aws.amazon.com/forecast/latest/dg/howitworks-domains-ds-types.html

  • :encryption_config (Types::EncryptionConfig) —

    An Key Management Service (KMS) key and the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.

  • :tags (Array<Types::Tag>) —

    The optional metadata that you apply to the dataset to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

    The following basic restrictions apply to tags:

    • Maximum number of tags per resource - 50.

    • For each resource, each tag key must be unique, and each tag key can have only one value.

    • Maximum key length - 128 Unicode characters in UTF-8.

    • Maximum value length - 256 Unicode characters in UTF-8.

    • If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

    • Tag keys and values are case sensitive.

    • Do not use ‘aws:`, `AWS:`, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has `aws` as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of `aws` do not count against your tags per resource limit.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 873

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

#create_dataset_group(params = {}) ⇒ Types::CreateDatasetGroupResponse

Creates a dataset group, which holds a collection of related datasets. You can add datasets to the dataset group when you create the dataset group, or later by using the [UpdateDatasetGroup] operation.

After creating a dataset group and adding datasets, you use the dataset group when you create a predictor. For more information, see [Dataset groups].

To get a list of all your datasets groups, use the

ListDatasetGroups][3

operation.

<note markdown=“1”> The ‘Status` of a dataset group must be `ACTIVE` before you can use the dataset group to create a predictor. To get the status, use the

DescribeDatasetGroup][4

operation.

</note>

[1]: docs.aws.amazon.com/forecast/latest/dg/API_UpdateDatasetGroup.html [2]: docs.aws.amazon.com/forecast/latest/dg/howitworks-datasets-groups.html [3]: docs.aws.amazon.com/forecast/latest/dg/API_ListDatasetGroups.html [4]: docs.aws.amazon.com/forecast/latest/dg/API_DescribeDatasetGroup.html

Examples:

Request syntax with placeholder values


resp = client.create_dataset_group({
  dataset_group_name: "Name", # required
  domain: "RETAIL", # required, accepts RETAIL, CUSTOM, INVENTORY_PLANNING, EC2_CAPACITY, WORK_FORCE, WEB_TRAFFIC, METRICS
  dataset_arns: ["Arn"],
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
})

Response structure


resp.dataset_group_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_group_name (required, String) —

    A name for the dataset group.

  • :domain (required, String) —

    The domain associated with the dataset group. When you add a dataset to a dataset group, this value and the value specified for the ‘Domain` parameter of the [CreateDataset] operation must match.

    The ‘Domain` and `DatasetType` that you choose determine the fields that must be present in training data that you import to a dataset. For example, if you choose the `RETAIL` domain and `TARGET_TIME_SERIES` as the `DatasetType`, Amazon Forecast requires that `item_id`, `timestamp`, and `demand` fields are present in your data. For more information, see [Dataset groups].

    [1]: docs.aws.amazon.com/forecast/latest/dg/API_CreateDataset.html [2]: docs.aws.amazon.com/forecast/latest/dg/howitworks-datasets-groups.html

  • :dataset_arns (Array<String>) —

    An array of Amazon Resource Names (ARNs) of the datasets that you want to include in the dataset group.

  • :tags (Array<Types::Tag>) —

    The optional metadata that you apply to the dataset group to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

    The following basic restrictions apply to tags:

    • Maximum number of tags per resource - 50.

    • For each resource, each tag key must be unique, and each tag key can have only one value.

    • Maximum key length - 128 Unicode characters in UTF-8.

    • Maximum value length - 256 Unicode characters in UTF-8.

    • If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

    • Tag keys and values are case sensitive.

    • Do not use ‘aws:`, `AWS:`, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has `aws` as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of `aws` do not count against your tags per resource limit.

Returns:

See Also:



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

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

#create_dataset_import_job(params = {}) ⇒ Types::CreateDatasetImportJobResponse

Imports your training data to an Amazon Forecast dataset. You provide the location of your training data in an Amazon Simple Storage Service (Amazon S3) bucket and the Amazon Resource Name (ARN) of the dataset that you want to import the data to.

You must specify a [DataSource] object that includes an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data, as Amazon Forecast makes a copy of your data and processes it in an internal Amazon Web Services system. For more information, see [Set up permissions].

The training data must be in CSV or Parquet format. The delimiter must be a comma (,).

You can specify the path to a specific file, the S3 bucket, or to a folder in the S3 bucket. For the latter two cases, Amazon Forecast imports all files up to the limit of 10,000 files.

Because dataset imports are not aggregated, your most recent dataset import is the one that is used when training a predictor or generating a forecast. Make sure that your most recent dataset import contains all of the data you want to model off of, and not just the new data collected since the previous import.

To get a list of all your dataset import jobs, filtered by specified criteria, use the [ListDatasetImportJobs] operation.

[1]: docs.aws.amazon.com/forecast/latest/dg/API_DataSource.html [2]: docs.aws.amazon.com/forecast/latest/dg/aws-forecast-iam-roles.html [3]: docs.aws.amazon.com/forecast/latest/dg/API_ListDatasetImportJobs.html

Examples:

Request syntax with placeholder values


resp = client.create_dataset_import_job({
  dataset_import_job_name: "Name", # required
  dataset_arn: "Arn", # required
  data_source: { # required
    s3_config: { # required
      path: "S3Path", # required
      role_arn: "Arn", # required
      kms_key_arn: "KMSKeyArn",
    },
  },
  timestamp_format: "TimestampFormat",
  time_zone: "TimeZone",
  use_geolocation_for_time_zone: false,
  geolocation_format: "GeolocationFormat",
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
  format: "Format",
  import_mode: "FULL", # accepts FULL, INCREMENTAL
})

Response structure


resp.dataset_import_job_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_import_job_name (required, String) —

    The name for the dataset import job. We recommend including the current timestamp in the name, for example, ‘20190721DatasetImport`. This can help you avoid getting a `ResourceAlreadyExistsException` exception.

  • :dataset_arn (required, String) —

    The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to import data to.

  • :data_source (required, Types::DataSource) —

    The location of the training data to import and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. The training data must be stored in an Amazon S3 bucket.

    If encryption is used, ‘DataSource` must include an Key Management Service (KMS) key and the IAM role must allow Amazon Forecast permission to access the key. The KMS key and IAM role must match those specified in the `EncryptionConfig` parameter of the

    CreateDataset][1

    operation.

    [1]: docs.aws.amazon.com/forecast/latest/dg/API_CreateDataset.html

  • :timestamp_format (String) —

    The format of timestamps in the dataset. The format that you specify depends on the ‘DataFrequency` specified when the dataset was created. The following formats are supported

    • “yyyy-MM-dd”

      For the following data frequencies: Y, M, W, and D

    • “yyyy-MM-dd HH:mm:ss”

      For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D

    If the format isn’t specified, Amazon Forecast expects the format to be “yyyy-MM-dd HH:mm:ss”.

  • :time_zone (String) —

    A single time zone for every item in your dataset. This option is ideal for datasets with all timestamps within a single time zone, or if all timestamps are normalized to a single time zone.

    Refer to the [Joda-Time API] for a complete list of valid time zone names.

    [1]: joda-time.sourceforge.net/timezones.html

  • :use_geolocation_for_time_zone (Boolean) —

    Automatically derive time zone information from the geolocation attribute. This option is ideal for datasets that contain timestamps in multiple time zones and those timestamps are expressed in local time.

  • :geolocation_format (String) —

    The format of the geolocation attribute. The geolocation attribute can be formatted in one of two ways:

    • ‘LAT_LONG` - the latitude and longitude in decimal format (Example: 47.61_-122.33).

    • ‘CC_POSTALCODE` (US Only) - the country code (US), followed by the 5-digit ZIP code (Example: US_98121).

  • :tags (Array<Types::Tag>) —

    The optional metadata that you apply to the dataset import job to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

    The following basic restrictions apply to tags:

    • Maximum number of tags per resource - 50.

    • For each resource, each tag key must be unique, and each tag key can have only one value.

    • Maximum key length - 128 Unicode characters in UTF-8.

    • Maximum value length - 256 Unicode characters in UTF-8.

    • If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

    • Tag keys and values are case sensitive.

    • Do not use ‘aws:`, `AWS:`, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has `aws` as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of `aws` do not count against your tags per resource limit.

  • :format (String) —

    The format of the imported data, CSV or PARQUET. The default value is CSV.

  • :import_mode (String) —

    Specifies whether the dataset import job is a ‘FULL` or `INCREMENTAL` import. A `FULL` dataset import replaces all of the existing data with the newly imported data. An `INCREMENTAL` import appends the imported data to the existing data.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 1172

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

#create_explainability(params = {}) ⇒ Types::CreateExplainabilityResponse

<note markdown=“1”> Explainability is only available for Forecasts and Predictors generated from an AutoPredictor (CreateAutoPredictor)

</note>

Creates an Amazon Forecast Explainability.

Explainability helps you better understand how the attributes in your datasets impact forecast. Amazon Forecast uses a metric called Impact scores to quantify the relative impact of each attribute and determine whether they increase or decrease forecast values.

To enable Forecast Explainability, your predictor must include at least one of the following: related time series, item metadata, or additional datasets like Holidays and the Weather Index.

CreateExplainability accepts either a Predictor ARN or Forecast ARN. To receive aggregated Impact scores for all time series and time points in your datasets, provide a Predictor ARN. To receive Impact scores for specific time series and time points, provide a Forecast ARN.

**CreateExplainability with a Predictor ARN**

<note markdown=“1”> You can only have one Explainability resource per predictor. If you already enabled ‘ExplainPredictor` in CreateAutoPredictor, that predictor already has an Explainability resource.

</note>

The following parameters are required when providing a Predictor ARN:

  • ‘ExplainabilityName` - A unique name for the Explainability.

  • ‘ResourceArn` - The Arn of the predictor.

  • ‘TimePointGranularity` - Must be set to “ALL”.

  • ‘TimeSeriesGranularity` - Must be set to “ALL”.

Do not specify a value for the following parameters:

  • ‘DataSource` - Only valid when TimeSeriesGranularity is “SPECIFIC”.

  • ‘Schema` - Only valid when TimeSeriesGranularity is “SPECIFIC”.

  • ‘StartDateTime` - Only valid when TimePointGranularity is “SPECIFIC”.

  • ‘EndDateTime` - Only valid when TimePointGranularity is “SPECIFIC”.

**CreateExplainability with a Forecast ARN**

<note markdown=“1”> You can specify a maximum of 50 time series and 500 time points.

</note>

The following parameters are required when providing a Predictor ARN:

  • ‘ExplainabilityName` - A unique name for the Explainability.

  • ‘ResourceArn` - The Arn of the forecast.

  • ‘TimePointGranularity` - Either “ALL” or “SPECIFIC”.

  • ‘TimeSeriesGranularity` - Either “ALL” or “SPECIFIC”.

If you set TimeSeriesGranularity to “SPECIFIC”, you must also provide the following:

  • ‘DataSource` - The S3 location of the CSV file specifying your time series.

  • ‘Schema` - The Schema defines the attributes and attribute types listed in the Data Source.

If you set TimePointGranularity to “SPECIFIC”, you must also provide the following:

  • ‘StartDateTime` - The first timestamp in the range of time points.

  • ‘EndDateTime` - The last timestamp in the range of time points.

Examples:

Request syntax with placeholder values


resp = client.create_explainability({
  explainability_name: "Name", # required
  resource_arn: "Arn", # required
  explainability_config: { # required
    time_series_granularity: "ALL", # required, accepts ALL, SPECIFIC
    time_point_granularity: "ALL", # required, accepts ALL, SPECIFIC
  },
  data_source: {
    s3_config: { # required
      path: "S3Path", # required
      role_arn: "Arn", # required
      kms_key_arn: "KMSKeyArn",
    },
  },
  schema: {
    attributes: [
      {
        attribute_name: "Name",
        attribute_type: "string", # accepts string, integer, float, timestamp, geolocation
      },
    ],
  },
  enable_visualization: false,
  start_date_time: "LocalDateTime",
  end_date_time: "LocalDateTime",
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
})

Response structure


resp.explainability_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :explainability_name (required, String) —

    A unique name for the Explainability.

  • :resource_arn (required, String) —

    The Amazon Resource Name (ARN) of the Predictor or Forecast used to create the Explainability.

  • :explainability_config (required, Types::ExplainabilityConfig) —

    The configuration settings that define the granularity of time series and time points for the Explainability.

  • :data_source (Types::DataSource) —

    The source of your data, an Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an Key Management Service (KMS) key.

  • :schema (Types::Schema) —

    Defines the fields of a dataset.

  • :enable_visualization (Boolean) —

    Create an Explainability visualization that is viewable within the Amazon Web Services console.

  • :start_date_time (String) —

    If ‘TimePointGranularity` is set to `SPECIFIC`, define the first point for the Explainability.

    Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

  • :end_date_time (String) —

    If ‘TimePointGranularity` is set to `SPECIFIC`, define the last time point for the Explainability.

    Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

  • :tags (Array<Types::Tag>) —

    Optional metadata to help you categorize and organize your resources. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.

    The following restrictions apply to tags:

    • For each resource, each tag key must be unique and each tag key must have one value.

    • Maximum number of tags per resource: 50.

    • Maximum key length: 128 Unicode characters in UTF-8.

    • Maximum value length: 256 Unicode characters in UTF-8.

    • Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.

    • Key prefixes cannot include any upper or lowercase combination of ‘aws:` or `AWS:`. Values can have this prefix. If a tag value has `aws` as its prefix but the key does not, Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of `aws` do not count against your tags per resource limit. You cannot edit or delete tag keys with this prefix.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 1372

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

#create_explainability_export(params = {}) ⇒ Types::CreateExplainabilityExportResponse

Exports an Explainability resource created by the CreateExplainability operation. Exported files are exported to an Amazon Simple Storage Service (Amazon S3) bucket.

You must specify a DataDestination object that includes an Amazon S3 bucket and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.

<note markdown=“1”> The ‘Status` of the export job must be `ACTIVE` before you can access the export in your Amazon S3 bucket. To get the status, use the DescribeExplainabilityExport operation.

</note>

Examples:

Request syntax with placeholder values


resp = client.create_explainability_export({
  explainability_export_name: "Name", # required
  explainability_arn: "Arn", # required
  destination: { # required
    s3_config: { # required
      path: "S3Path", # required
      role_arn: "Arn", # required
      kms_key_arn: "KMSKeyArn",
    },
  },
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
  format: "Format",
})

Response structure


resp.explainability_export_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :explainability_export_name (required, String) —

    A unique name for the Explainability export.

  • :explainability_arn (required, String) —

    The Amazon Resource Name (ARN) of the Explainability to export.

  • :destination (required, Types::DataDestination) —

    The destination for an export job. Provide an S3 path, an Identity and Access Management (IAM) role that allows Amazon Forecast to access the location, and an Key Management Service (KMS) key (optional).

  • :tags (Array<Types::Tag>) —

    Optional metadata to help you categorize and organize your resources. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.

    The following restrictions apply to tags:

    • For each resource, each tag key must be unique and each tag key must have one value.

    • Maximum number of tags per resource: 50.

    • Maximum key length: 128 Unicode characters in UTF-8.

    • Maximum value length: 256 Unicode characters in UTF-8.

    • Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.

    • Key prefixes cannot include any upper or lowercase combination of ‘aws:` or `AWS:`. Values can have this prefix. If a tag value has `aws` as its prefix but the key does not, Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of `aws` do not count against your tags per resource limit. You cannot edit or delete tag keys with this prefix.

  • :format (String) —

    The format of the exported data, CSV or PARQUET.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 1467

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

#create_forecast(params = {}) ⇒ Types::CreateForecastResponse

Creates a forecast for each item in the ‘TARGET_TIME_SERIES` dataset that was used to train the predictor. This is known as inference. To retrieve the forecast for a single item at low latency, use the operation. To export the complete forecast into your Amazon Simple Storage Service (Amazon S3) bucket, use the CreateForecastExportJob operation.

The range of the forecast is determined by the ‘ForecastHorizon` value, which you specify in the CreatePredictor request. When you query a forecast, you can request a specific date range within the forecast.

To get a list of all your forecasts, use the ListForecasts operation.

<note markdown=“1”> The forecasts generated by Amazon Forecast are in the same time zone as the dataset that was used to create the predictor.

</note>

For more information, see howitworks-forecast.

<note markdown=“1”> The ‘Status` of the forecast must be `ACTIVE` before you can query or export the forecast. Use the DescribeForecast operation to get the status.

</note>

By default, a forecast includes predictions for every item (‘item_id`) in the dataset group that was used to train the predictor. However, you can use the `TimeSeriesSelector` object to generate a forecast on a subset of time series. Forecast creation is skipped for any time series that you specify that are not in the input dataset. The forecast export file will not contain these time series or their forecasted values.

Examples:

Request syntax with placeholder values


resp = client.create_forecast({
  forecast_name: "Name", # required
  predictor_arn: "Arn", # required
  forecast_types: ["ForecastType"],
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
  time_series_selector: {
    time_series_identifiers: {
      data_source: {
        s3_config: { # required
          path: "S3Path", # required
          role_arn: "Arn", # required
          kms_key_arn: "KMSKeyArn",
        },
      },
      schema: {
        attributes: [
          {
            attribute_name: "Name",
            attribute_type: "string", # accepts string, integer, float, timestamp, geolocation
          },
        ],
      },
      format: "Format",
    },
  },
})

Response structure


resp.forecast_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :forecast_name (required, String) —

    A name for the forecast.

  • :predictor_arn (required, String) —

    The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.

  • :forecast_types (Array<String>) —

    The quantiles at which probabilistic forecasts are generated. **You can currently specify up to 5 quantiles per forecast**. Accepted values include ‘0.01 to 0.99` (increments of .01 only) and `mean`. The mean forecast is different from the median (0.50) when the distribution is not symmetric (for example, Beta and Negative Binomial).

    The default quantiles are the quantiles you specified during predictor creation. If you didn’t specify quantiles, the default values are ‘[“0.1”, “0.5”, “0.9”]`.

  • :tags (Array<Types::Tag>) —

    The optional metadata that you apply to the forecast to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

    The following basic restrictions apply to tags:

    • Maximum number of tags per resource - 50.

    • For each resource, each tag key must be unique, and each tag key can have only one value.

    • Maximum key length - 128 Unicode characters in UTF-8.

    • Maximum value length - 256 Unicode characters in UTF-8.

    • If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

    • Tag keys and values are case sensitive.

    • Do not use ‘aws:`, `AWS:`, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has `aws` as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of `aws` do not count against your tags per resource limit.

  • :time_series_selector (Types::TimeSeriesSelector) —

    Defines the set of time series that are used to create the forecasts in a ‘TimeSeriesIdentifiers` object.

    The ‘TimeSeriesIdentifiers` object needs the following information:

    • ‘DataSource`

    • ‘Format`

    • ‘Schema`

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 1616

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

#create_forecast_export_job(params = {}) ⇒ Types::CreateForecastExportJobResponse

Exports a forecast created by the CreateForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket. The forecast file name will match the following conventions:

&lt;ForecastExportJobName&gt;_&lt;ExportTimestamp&gt;_&lt;PartNumber&gt;

where the &lt;ExportTimestamp&gt; component is in Java SimpleDateFormat (yyyy-MM-ddTHH-mm-ssZ).

You must specify a DataDestination object that includes an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.

For more information, see howitworks-forecast.

To get a list of all your forecast export jobs, use the ListForecastExportJobs operation.

<note markdown=“1”> The ‘Status` of the forecast export job must be `ACTIVE` before you can access the forecast in your Amazon S3 bucket. To get the status, use the DescribeForecastExportJob operation.

</note>

Examples:

Request syntax with placeholder values


resp = client.create_forecast_export_job({
  forecast_export_job_name: "Name", # required
  forecast_arn: "Arn", # required
  destination: { # required
    s3_config: { # required
      path: "S3Path", # required
      role_arn: "Arn", # required
      kms_key_arn: "KMSKeyArn",
    },
  },
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
  format: "Format",
})

Response structure


resp.forecast_export_job_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :forecast_export_job_name (required, String) —

    The name for the forecast export job.

  • :forecast_arn (required, String) —

    The Amazon Resource Name (ARN) of the forecast that you want to export.

  • :destination (required, Types::DataDestination) —

    The location where you want to save the forecast and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the location. The forecast must be exported to an Amazon S3 bucket.

    If encryption is used, ‘Destination` must include an Key Management Service (KMS) key. The IAM role must allow Amazon Forecast permission to access the key.

  • :tags (Array<Types::Tag>) —

    The optional metadata that you apply to the forecast export job to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

    The following basic restrictions apply to tags:

    • Maximum number of tags per resource - 50.

    • For each resource, each tag key must be unique, and each tag key can have only one value.

    • Maximum key length - 128 Unicode characters in UTF-8.

    • Maximum value length - 256 Unicode characters in UTF-8.

    • If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

    • Tag keys and values are case sensitive.

    • Do not use ‘aws:`, `AWS:`, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has `aws` as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of `aws` do not count against your tags per resource limit.

  • :format (String) —

    The format of the exported data, CSV or PARQUET. The default value is CSV.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 1731

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

#create_monitor(params = {}) ⇒ Types::CreateMonitorResponse

Creates a predictor monitor resource for an existing auto predictor. Predictor monitoring allows you to see how your predictor’s performance changes over time. For more information, see [Predictor Monitoring].

[1]: docs.aws.amazon.com/forecast/latest/dg/predictor-monitoring.html

Examples:

Request syntax with placeholder values


resp = client.create_monitor({
  monitor_name: "Name", # required
  resource_arn: "Arn", # required
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
})

Response structure


resp.monitor_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 1783

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

#create_predictor(params = {}) ⇒ Types::CreatePredictorResponse

<note markdown=“1”> This operation creates a legacy predictor that does not include all the predictor functionalities provided by Amazon Forecast. To create a predictor that is compatible with all aspects of Forecast, use CreateAutoPredictor.

</note>

Creates an Amazon Forecast predictor.

In the request, provide a dataset group and either specify an algorithm or let Amazon Forecast choose an algorithm for you using AutoML. If you specify an algorithm, you also can override algorithm-specific hyperparameters.

Amazon Forecast uses the algorithm to train a predictor using the latest version of the datasets in the specified dataset group. You can then generate a forecast using the CreateForecast operation.

To see the evaluation metrics, use the GetAccuracyMetrics operation.

You can specify a featurization configuration to fill and aggregate the data fields in the ‘TARGET_TIME_SERIES` dataset to improve model training. For more information, see FeaturizationConfig.

For RELATED_TIME_SERIES datasets, ‘CreatePredictor` verifies that the `DataFrequency` specified when the dataset was created matches the `ForecastFrequency`. TARGET_TIME_SERIES datasets don’t have this restriction. Amazon Forecast also verifies the delimiter and timestamp format. For more information, see howitworks-datasets-groups.

By default, predictors are trained and evaluated at the 0.1 (P10), 0.5 (P50), and 0.9 (P90) quantiles. You can choose custom forecast types to train and evaluate your predictor by setting the ‘ForecastTypes`.

AutoML

If you want Amazon Forecast to evaluate each algorithm and choose the one that minimizes the ‘objective function`, set `PerformAutoML` to `true`. The `objective function` is defined as the mean of the weighted losses over the forecast types. By default, these are the p10, p50, and p90 quantile losses. For more information, see EvaluationResult.

When AutoML is enabled, the following properties are disallowed:

  • ‘AlgorithmArn`

  • ‘HPOConfig`

  • ‘PerformHPO`

  • ‘TrainingParameters`

To get a list of all of your predictors, use the ListPredictors operation.

<note markdown=“1”> Before you can use the predictor to create a forecast, the ‘Status` of the predictor must be `ACTIVE`, signifying that training has completed. To get the status, use the DescribePredictor operation.

</note>

Examples:

Request syntax with placeholder values


resp = client.create_predictor({
  predictor_name: "Name", # required
  algorithm_arn: "Arn",
  forecast_horizon: 1, # required
  forecast_types: ["ForecastType"],
  perform_auto_ml: false,
  auto_ml_override_strategy: "LatencyOptimized", # accepts LatencyOptimized, AccuracyOptimized
  perform_hpo: false,
  training_parameters: {
    "ParameterKey" => "ParameterValue",
  },
  evaluation_parameters: {
    number_of_backtest_windows: 1,
    back_test_window_offset: 1,
  },
  hpo_config: {
    parameter_ranges: {
      categorical_parameter_ranges: [
        {
          name: "Name", # required
          values: ["Value"], # required
        },
      ],
      continuous_parameter_ranges: [
        {
          name: "Name", # required
          max_value: 1.0, # required
          min_value: 1.0, # required
          scaling_type: "Auto", # accepts Auto, Linear, Logarithmic, ReverseLogarithmic
        },
      ],
      integer_parameter_ranges: [
        {
          name: "Name", # required
          max_value: 1, # required
          min_value: 1, # required
          scaling_type: "Auto", # accepts Auto, Linear, Logarithmic, ReverseLogarithmic
        },
      ],
    },
  },
  input_data_config: { # required
    dataset_group_arn: "Arn", # required
    supplementary_features: [
      {
        name: "Name", # required
        value: "Value", # required
      },
    ],
  },
  featurization_config: { # required
    forecast_frequency: "Frequency", # required
    forecast_dimensions: ["Name"],
    featurizations: [
      {
        attribute_name: "Name", # required
        featurization_pipeline: [
          {
            featurization_method_name: "filling", # required, accepts filling
            featurization_method_parameters: {
              "ParameterKey" => "ParameterValue",
            },
          },
        ],
      },
    ],
  },
  encryption_config: {
    role_arn: "Arn", # required
    kms_key_arn: "KMSKeyArn", # required
  },
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
  optimization_metric: "WAPE", # accepts WAPE, RMSE, AverageWeightedQuantileLoss, MASE, MAPE
})

Response structure


resp.predictor_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :predictor_name (required, String) —

    A name for the predictor.

  • :algorithm_arn (String) —

    The Amazon Resource Name (ARN) of the algorithm to use for model training. Required if ‘PerformAutoML` is not set to `true`.

    **Supported algorithms:**

    • ‘arn:aws:forecast:::algorithm/ARIMA`

    • ‘arn:aws:forecast:::algorithm/CNN-QR`

    • ‘arn:aws:forecast:::algorithm/Deep_AR_Plus`

    • ‘arn:aws:forecast:::algorithm/ETS`

    • ‘arn:aws:forecast:::algorithm/NPTS`

    • ‘arn:aws:forecast:::algorithm/Prophet`

  • :forecast_horizon (required, Integer) —

    Specifies the number of time-steps that the model is trained to predict. The forecast horizon is also called the prediction length.

    For example, if you configure a dataset for daily data collection (using the ‘DataFrequency` parameter of the CreateDataset operation) and set the forecast horizon to 10, the model returns predictions for 10 days.

    The maximum forecast horizon is the lesser of 500 time-steps or 1/3 of the TARGET_TIME_SERIES dataset length.

  • :forecast_types (Array<String>) —

    Specifies the forecast types used to train a predictor. You can specify up to five forecast types. Forecast types can be quantiles from 0.01 to 0.99, by increments of 0.01 or higher. You can also specify the mean forecast with ‘mean`.

    The default value is ‘[“0.10”, “0.50”, “0.9”]`.

  • :perform_auto_ml (Boolean) —

    Whether to perform AutoML. When Amazon Forecast performs AutoML, it evaluates the algorithms it provides and chooses the best algorithm and configuration for your training dataset.

    The default value is ‘false`. In this case, you are required to specify an algorithm.

    Set ‘PerformAutoML` to `true` to have Amazon Forecast perform AutoML. This is a good option if you aren’t sure which algorithm is suitable for your training data. In this case, ‘PerformHPO` must be false.

  • :auto_ml_override_strategy (String) —

    <note markdown=“1”> The ‘LatencyOptimized` AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges.

    </note>

    Used to overide the default AutoML strategy, which is to optimize predictor accuracy. To apply an AutoML strategy that minimizes training time, use ‘LatencyOptimized`.

    This parameter is only valid for predictors trained using AutoML.

  • :perform_hpo (Boolean) —

    Whether to perform hyperparameter optimization (HPO). HPO finds optimal hyperparameter values for your training data. The process of performing HPO is known as running a hyperparameter tuning job.

    The default value is ‘false`. In this case, Amazon Forecast uses default hyperparameter values from the chosen algorithm.

    To override the default values, set ‘PerformHPO` to `true` and, optionally, supply the HyperParameterTuningJobConfig object. The tuning job specifies a metric to optimize, which hyperparameters participate in tuning, and the valid range for each tunable hyperparameter. In this case, you are required to specify an algorithm and `PerformAutoML` must be false.

    The following algorithms support HPO:

    • DeepAR+

    • CNN-QR

  • :training_parameters (Hash<String,String>) —

    The hyperparameters to override for model training. The hyperparameters that you can override are listed in the individual algorithms. For the list of supported algorithms, see aws-forecast-choosing-recipes.

  • :evaluation_parameters (Types::EvaluationParameters) —

    Used to override the default evaluation parameters of the specified algorithm. Amazon Forecast evaluates a predictor by splitting a dataset into training data and testing data. The evaluation parameters define how to perform the split and the number of iterations.

  • :hpo_config (Types::HyperParameterTuningJobConfig) —

    Provides hyperparameter override values for the algorithm. If you don’t provide this parameter, Amazon Forecast uses default values. The individual algorithms specify which hyperparameters support hyperparameter optimization (HPO). For more information, see aws-forecast-choosing-recipes.

    If you included the ‘HPOConfig` object, you must set `PerformHPO` to true.

  • :input_data_config (required, Types::InputDataConfig) —

    Describes the dataset group that contains the data to use to train the predictor.

  • :featurization_config (required, Types::FeaturizationConfig) —

    The featurization configuration.

  • :encryption_config (Types::EncryptionConfig) —

    An Key Management Service (KMS) key and the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.

  • :tags (Array<Types::Tag>) —

    The optional metadata that you apply to the predictor to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

    The following basic restrictions apply to tags:

    • Maximum number of tags per resource - 50.

    • For each resource, each tag key must be unique, and each tag key can have only one value.

    • Maximum key length - 128 Unicode characters in UTF-8.

    • Maximum value length - 256 Unicode characters in UTF-8.

    • If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

    • Tag keys and values are case sensitive.

    • Do not use ‘aws:`, `AWS:`, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has `aws` as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of `aws` do not count against your tags per resource limit.

  • :optimization_metric (String) —

    The accuracy metric used to optimize the predictor.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2100

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

#create_predictor_backtest_export_job(params = {}) ⇒ Types::CreatePredictorBacktestExportJobResponse

Exports backtest forecasts and accuracy metrics generated by the CreateAutoPredictor or CreatePredictor operations. Two folders containing CSV or Parquet files are exported to your specified S3 bucket.

The export file names will match the following conventions:

‘<ExportJobName>_<ExportTimestamp>_<PartNumber>.csv`

The &lt;ExportTimestamp&gt; component is in Java SimpleDate format (yyyy-MM-ddTHH-mm-ssZ).

You must specify a DataDestination object that includes an Amazon S3 bucket and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.

<note markdown=“1”> The ‘Status` of the export job must be `ACTIVE` before you can access the export in your Amazon S3 bucket. To get the status, use the DescribePredictorBacktestExportJob operation.

</note>

Examples:

Request syntax with placeholder values


resp = client.create_predictor_backtest_export_job({
  predictor_backtest_export_job_name: "Name", # required
  predictor_arn: "Arn", # required
  destination: { # required
    s3_config: { # required
      path: "S3Path", # required
      role_arn: "Arn", # required
      kms_key_arn: "KMSKeyArn",
    },
  },
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
  format: "Format",
})

Response structure


resp.predictor_backtest_export_job_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :predictor_backtest_export_job_name (required, String) —

    The name for the backtest export job.

  • :predictor_arn (required, String) —

    The Amazon Resource Name (ARN) of the predictor that you want to export.

  • :destination (required, Types::DataDestination) —

    The destination for an export job. Provide an S3 path, an Identity and Access Management (IAM) role that allows Amazon Forecast to access the location, and an Key Management Service (KMS) key (optional).

  • :tags (Array<Types::Tag>) —

    Optional metadata to help you categorize and organize your backtests. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.

    The following restrictions apply to tags:

    • For each resource, each tag key must be unique and each tag key must have one value.

    • Maximum number of tags per resource: 50.

    • Maximum key length: 128 Unicode characters in UTF-8.

    • Maximum value length: 256 Unicode characters in UTF-8.

    • Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.

    • Key prefixes cannot include any upper or lowercase combination of ‘aws:` or `AWS:`. Values can have this prefix. If a tag value has `aws` as its prefix but the key does not, Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of `aws` do not count against your tags per resource limit. You cannot edit or delete tag keys with this prefix.

  • :format (String) —

    The format of the exported data, CSV or PARQUET. The default value is CSV.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2205

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

#create_what_if_analysis(params = {}) ⇒ Types::CreateWhatIfAnalysisResponse

What-if analysis is a scenario modeling technique where you make a hypothetical change to a time series and compare the forecasts generated by these changes against the baseline, unchanged time series. It is important to remember that the purpose of a what-if analysis is to understand how a forecast can change given different modifications to the baseline time series.

For example, imagine you are a clothing retailer who is considering an end of season sale to clear space for new styles. After creating a baseline forecast, you can use a what-if analysis to investigate how different sales tactics might affect your goals.

You could create a scenario where everything is given a 25% markdown, and another where everything is given a fixed dollar markdown. You could create a scenario where the sale lasts for one week and another where the sale lasts for one month. With a what-if analysis, you can compare many different scenarios against each other.

Note that a what-if analysis is meant to display what the forecasting model has learned and how it will behave in the scenarios that you are evaluating. Do not blindly use the results of the what-if analysis to make business decisions. For instance, forecasts might not be accurate for novel scenarios where there is no reference available to determine whether a forecast is good.

The TimeSeriesSelector object defines the items that you want in the what-if analysis.

Examples:

Request syntax with placeholder values


resp = client.create_what_if_analysis({
  what_if_analysis_name: "Name", # required
  forecast_arn: "Arn", # required
  time_series_selector: {
    time_series_identifiers: {
      data_source: {
        s3_config: { # required
          path: "S3Path", # required
          role_arn: "Arn", # required
          kms_key_arn: "KMSKeyArn",
        },
      },
      schema: {
        attributes: [
          {
            attribute_name: "Name",
            attribute_type: "string", # accepts string, integer, float, timestamp, geolocation
          },
        ],
      },
      format: "Format",
    },
  },
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
})

Response structure


resp.what_if_analysis_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :what_if_analysis_name (required, String) —

    The name of the what-if analysis. Each name must be unique.

  • :forecast_arn (required, String) —

    The Amazon Resource Name (ARN) of the baseline forecast.

  • :time_series_selector (Types::TimeSeriesSelector) —

    Defines the set of time series that are used in the what-if analysis with a ‘TimeSeriesIdentifiers` object. What-if analyses are performed only for the time series in this object.

    The ‘TimeSeriesIdentifiers` object needs the following information:

    • ‘DataSource`

    • ‘Format`

    • ‘Schema`

  • :tags (Array<Types::Tag>) —

    A list of [tags] to apply to the what if forecast.

    [1]: docs.aws.amazon.com/forecast/latest/dg/tagging-forecast-resources.html

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2309

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

#create_what_if_forecast(params = {}) ⇒ Types::CreateWhatIfForecastResponse

A what-if forecast is a forecast that is created from a modified version of the baseline forecast. Each what-if forecast incorporates either a replacement dataset or a set of transformations to the original dataset.

Examples:

Request syntax with placeholder values


resp = client.create_what_if_forecast({
  what_if_forecast_name: "Name", # required
  what_if_analysis_arn: "Arn", # required
  time_series_transformations: [
    {
      action: {
        attribute_name: "Name", # required
        operation: "ADD", # required, accepts ADD, SUBTRACT, MULTIPLY, DIVIDE
        value: 1.0, # required
      },
      time_series_conditions: [
        {
          attribute_name: "Name", # required
          attribute_value: "AttributeValue", # required
          condition: "EQUALS", # required, accepts EQUALS, NOT_EQUALS, LESS_THAN, GREATER_THAN
        },
      ],
    },
  ],
  time_series_replacements_data_source: {
    s3_config: { # required
      path: "S3Path", # required
      role_arn: "Arn", # required
      kms_key_arn: "KMSKeyArn",
    },
    schema: { # required
      attributes: [
        {
          attribute_name: "Name",
          attribute_type: "string", # accepts string, integer, float, timestamp, geolocation
        },
      ],
    },
    format: "Format",
    timestamp_format: "TimestampFormat",
  },
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
})

Response structure


resp.what_if_forecast_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :what_if_forecast_name (required, String) —

    The name of the what-if forecast. Names must be unique within each what-if analysis.

  • :what_if_analysis_arn (required, String) —

    The Amazon Resource Name (ARN) of the what-if analysis.

  • :time_series_transformations (Array<Types::TimeSeriesTransformation>) —

    The transformations that are applied to the baseline time series. Each transformation contains an action and a set of conditions. An action is applied only when all conditions are met. If no conditions are provided, the action is applied to all items.

  • :time_series_replacements_data_source (Types::TimeSeriesReplacementsDataSource) —

    The replacement time series dataset, which contains the rows that you want to change in the related time series dataset. A replacement time series does not need to contain all rows that are in the baseline related time series. Include only the rows (measure-dimension combinations) that you want to include in the what-if forecast.

    This dataset is merged with the original time series to create a transformed dataset that is used for the what-if analysis.

    This dataset should contain the items to modify (such as item_id or workforce_type), any relevant dimensions, the timestamp column, and at least one of the related time series columns. This file should not contain duplicate timestamps for the same time series.

    Timestamps and item_ids not included in this dataset are not included in the what-if analysis.

  • :tags (Array<Types::Tag>) —

    A list of [tags] to apply to the what if forecast.

    [1]: docs.aws.amazon.com/forecast/latest/dg/tagging-forecast-resources.html

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2415

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

#create_what_if_forecast_export(params = {}) ⇒ Types::CreateWhatIfForecastExportResponse

Exports a forecast created by the CreateWhatIfForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket. The forecast file name will match the following conventions:

‘≈<ForecastExportJobName>_<ExportTimestamp>_<PartNumber>`

The &lt;ExportTimestamp&gt; component is in Java SimpleDateFormat (yyyy-MM-ddTHH-mm-ssZ).

You must specify a DataDestination object that includes an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.

For more information, see howitworks-forecast.

To get a list of all your what-if forecast export jobs, use the ListWhatIfForecastExports operation.

<note markdown=“1”> The ‘Status` of the forecast export job must be `ACTIVE` before you can access the forecast in your Amazon S3 bucket. To get the status, use the DescribeWhatIfForecastExport operation.

</note>

Examples:

Request syntax with placeholder values


resp = client.create_what_if_forecast_export({
  what_if_forecast_export_name: "Name", # required
  what_if_forecast_arns: ["LongArn"], # required
  destination: { # required
    s3_config: { # required
      path: "S3Path", # required
      role_arn: "Arn", # required
      kms_key_arn: "KMSKeyArn",
    },
  },
  tags: [
    {
      key: "TagKey", # required
      value: "TagValue", # required
    },
  ],
  format: "Format",
})

Response structure


resp.what_if_forecast_export_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :what_if_forecast_export_name (required, String) —

    The name of the what-if forecast to export.

  • :what_if_forecast_arns (required, Array<String>) —

    The list of what-if forecast Amazon Resource Names (ARNs) to export.

  • :destination (required, Types::DataDestination) —

    The location where you want to save the forecast and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the location. The forecast must be exported to an Amazon S3 bucket.

    If encryption is used, ‘Destination` must include an Key Management Service (KMS) key. The IAM role must allow Amazon Forecast permission to access the key.

  • :tags (Array<Types::Tag>) —

    A list of [tags] to apply to the what if forecast.

    [1]: docs.aws.amazon.com/forecast/latest/dg/tagging-forecast-resources.html

  • :format (String) —

    The format of the exported data, CSV or PARQUET.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2503

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

#delete_dataset(params = {}) ⇒ Struct

Deletes an Amazon Forecast dataset that was created using the

CreateDataset][1

operation. You can only delete datasets that have a

status of ‘ACTIVE` or `CREATE_FAILED`. To get the status use the

DescribeDataset][2

operation.

<note markdown=“1”> Forecast does not automatically update any dataset groups that contain the deleted dataset. In order to update the dataset group, use the

UpdateDatasetGroup][3

operation, omitting the deleted dataset’s

ARN.

</note>

[1]: docs.aws.amazon.com/forecast/latest/dg/API_CreateDataset.html [2]: docs.aws.amazon.com/forecast/latest/dg/API_DescribeDataset.html [3]: docs.aws.amazon.com/forecast/latest/dg/API_UpdateDatasetGroup.html

Examples:

Request syntax with placeholder values


resp = client.delete_dataset({
  dataset_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_arn (required, String) —

    The Amazon Resource Name (ARN) of the dataset to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2541

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

#delete_dataset_group(params = {}) ⇒ Struct

Deletes a dataset group created using the [CreateDatasetGroup] operation. You can only delete dataset groups that have a status of ‘ACTIVE`, `CREATE_FAILED`, or `UPDATE_FAILED`. To get the status, use the [DescribeDatasetGroup] operation.

This operation deletes only the dataset group, not the datasets in the group.

[1]: docs.aws.amazon.com/forecast/latest/dg/API_CreateDatasetGroup.html [2]: docs.aws.amazon.com/forecast/latest/dg/API_DescribeDatasetGroup.html

Examples:

Request syntax with placeholder values


resp = client.delete_dataset_group({
  dataset_group_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_group_arn (required, String) —

    The Amazon Resource Name (ARN) of the dataset group to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2574

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

#delete_dataset_import_job(params = {}) ⇒ Struct

Deletes a dataset import job created using the

CreateDatasetImportJob][1

operation. You can delete only dataset

import jobs that have a status of ‘ACTIVE` or `CREATE_FAILED`. To get the status, use the [DescribeDatasetImportJob] operation.

[1]: docs.aws.amazon.com/forecast/latest/dg/API_CreateDatasetImportJob.html [2]: docs.aws.amazon.com/forecast/latest/dg/API_DescribeDatasetImportJob.html

Examples:

Request syntax with placeholder values


resp = client.delete_dataset_import_job({
  dataset_import_job_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_import_job_arn (required, String) —

    The Amazon Resource Name (ARN) of the dataset import job to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2604

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

#delete_explainability(params = {}) ⇒ Struct

Deletes an Explainability resource.

You can delete only predictor that have a status of ‘ACTIVE` or `CREATE_FAILED`. To get the status, use the DescribeExplainability operation.

Examples:

Request syntax with placeholder values


resp = client.delete_explainability({
  explainability_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :explainability_arn (required, String) —

    The Amazon Resource Name (ARN) of the Explainability resource to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2631

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

#delete_explainability_export(params = {}) ⇒ Struct

Deletes an Explainability export.

Examples:

Request syntax with placeholder values


resp = client.delete_explainability_export({
  explainability_export_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :explainability_export_arn (required, String) —

    The Amazon Resource Name (ARN) of the Explainability export to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2653

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

#delete_forecast(params = {}) ⇒ Struct

Deletes a forecast created using the CreateForecast operation. You can delete only forecasts that have a status of ‘ACTIVE` or `CREATE_FAILED`. To get the status, use the DescribeForecast operation.

You can’t delete a forecast while it is being exported. After a forecast is deleted, you can no longer query the forecast.

Examples:

Request syntax with placeholder values


resp = client.delete_forecast({
  forecast_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :forecast_arn (required, String) —

    The Amazon Resource Name (ARN) of the forecast to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2681

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

#delete_forecast_export_job(params = {}) ⇒ Struct

Deletes a forecast export job created using the CreateForecastExportJob operation. You can delete only export jobs that have a status of ‘ACTIVE` or `CREATE_FAILED`. To get the status, use the DescribeForecastExportJob operation.

Examples:

Request syntax with placeholder values


resp = client.delete_forecast_export_job({
  forecast_export_job_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :forecast_export_job_arn (required, String) —

    The Amazon Resource Name (ARN) of the forecast export job to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2706

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

#delete_monitor(params = {}) ⇒ Struct

Deletes a monitor resource. You can only delete a monitor resource with a status of ‘ACTIVE`, `ACTIVE_STOPPED`, `CREATE_FAILED`, or `CREATE_STOPPED`.

Examples:

Request syntax with placeholder values


resp = client.delete_monitor({
  monitor_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :monitor_arn (required, String) —

    The Amazon Resource Name (ARN) of the monitor resource to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2730

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

#delete_predictor(params = {}) ⇒ Struct

Deletes a predictor created using the DescribePredictor or CreatePredictor operations. You can delete only predictor that have a status of ‘ACTIVE` or `CREATE_FAILED`. To get the status, use the DescribePredictor operation.

Examples:

Request syntax with placeholder values


resp = client.delete_predictor({
  predictor_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :predictor_arn (required, String) —

    The Amazon Resource Name (ARN) of the predictor to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2755

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

#delete_predictor_backtest_export_job(params = {}) ⇒ Struct

Deletes a predictor backtest export job.

Examples:

Request syntax with placeholder values


resp = client.delete_predictor_backtest_export_job({
  predictor_backtest_export_job_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :predictor_backtest_export_job_arn (required, String) —

    The Amazon Resource Name (ARN) of the predictor backtest export job to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2778

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

#delete_resource_tree(params = {}) ⇒ Struct

Deletes an entire resource tree. This operation will delete the parent resource and its child resources.

Child resources are resources that were created from another resource. For example, when a forecast is generated from a predictor, the forecast is the child resource and the predictor is the parent resource.

Amazon Forecast resources possess the following parent-child resource hierarchies:

  • Dataset: dataset import jobs

  • **Dataset Group**: predictors, predictor backtest export jobs, forecasts, forecast export jobs

  • Predictor: predictor backtest export jobs, forecasts, forecast export jobs

  • Forecast: forecast export jobs

<note markdown=“1”> ‘DeleteResourceTree` will only delete Amazon Forecast resources, and will not delete datasets or exported files stored in Amazon S3.

</note>

Examples:

Request syntax with placeholder values


resp = client.delete_resource_tree({
  resource_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :resource_arn (required, String) —

    The Amazon Resource Name (ARN) of the parent resource to delete. All child resources of the parent resource will also be deleted.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2825

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

#delete_what_if_analysis(params = {}) ⇒ Struct

Deletes a what-if analysis created using the CreateWhatIfAnalysis operation. You can delete only what-if analyses that have a status of ‘ACTIVE` or `CREATE_FAILED`. To get the status, use the DescribeWhatIfAnalysis operation.

You can’t delete a what-if analysis while any of its forecasts are being exported.

Examples:

Request syntax with placeholder values


resp = client.delete_what_if_analysis({
  what_if_analysis_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :what_if_analysis_arn (required, String) —

    The Amazon Resource Name (ARN) of the what-if analysis that you want to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2854

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

#delete_what_if_forecast(params = {}) ⇒ Struct

Deletes a what-if forecast created using the CreateWhatIfForecast operation. You can delete only what-if forecasts that have a status of ‘ACTIVE` or `CREATE_FAILED`. To get the status, use the DescribeWhatIfForecast operation.

You can’t delete a what-if forecast while it is being exported. After a what-if forecast is deleted, you can no longer query the what-if analysis.

Examples:

Request syntax with placeholder values


resp = client.delete_what_if_forecast({
  what_if_forecast_arn: "LongArn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :what_if_forecast_arn (required, String) —

    The Amazon Resource Name (ARN) of the what-if forecast that you want to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2884

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

#delete_what_if_forecast_export(params = {}) ⇒ Struct

Deletes a what-if forecast export created using the CreateWhatIfForecastExport operation. You can delete only what-if forecast exports that have a status of ‘ACTIVE` or `CREATE_FAILED`. To get the status, use the DescribeWhatIfForecastExport operation.

Examples:

Request syntax with placeholder values


resp = client.delete_what_if_forecast_export({
  what_if_forecast_export_arn: "LongArn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :what_if_forecast_export_arn (required, String) —

    The Amazon Resource Name (ARN) of the what-if forecast export that you want to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2910

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

#describe_auto_predictor(params = {}) ⇒ Types::DescribeAutoPredictorResponse

Describes a predictor created using the CreateAutoPredictor operation.

Examples:

Request syntax with placeholder values


resp = client.describe_auto_predictor({
  predictor_arn: "Arn", # required
})

Response structure


resp.predictor_arn #=> String
resp.predictor_name #=> String
resp.forecast_horizon #=> Integer
resp.forecast_types #=> Array
resp.forecast_types[0] #=> String
resp.forecast_frequency #=> String
resp.forecast_dimensions #=> Array
resp.forecast_dimensions[0] #=> String
resp.dataset_import_job_arns #=> Array
resp.dataset_import_job_arns[0] #=> String
resp.data_config.dataset_group_arn #=> String
resp.data_config.attribute_configs #=> Array
resp.data_config.attribute_configs[0].attribute_name #=> String
resp.data_config.attribute_configs[0].transformations #=> Hash
resp.data_config.attribute_configs[0].transformations["Name"] #=> String
resp.data_config.additional_datasets #=> Array
resp.data_config.additional_datasets[0].name #=> String
resp.data_config.additional_datasets[0].configuration #=> Hash
resp.data_config.additional_datasets[0].configuration["Name"] #=> Array
resp.data_config.additional_datasets[0].configuration["Name"][0] #=> String
resp.encryption_config.role_arn #=> String
resp.encryption_config.kms_key_arn #=> String
resp.reference_predictor_summary.arn #=> String
resp.reference_predictor_summary.state #=> String, one of "Active", "Deleted"
resp.estimated_time_remaining_in_minutes #=> Integer
resp.status #=> String
resp.message #=> String
resp.creation_time #=> Time
resp.last_modification_time #=> Time
resp.optimization_metric #=> String, one of "WAPE", "RMSE", "AverageWeightedQuantileLoss", "MASE", "MAPE"
resp.explainability_info.explainability_arn #=> String
resp.explainability_info.status #=> String
resp.monitor_info.monitor_arn #=> String
resp.monitor_info.status #=> String
resp.time_alignment_boundary.month #=> String, one of "JANUARY", "FEBRUARY", "MARCH", "APRIL", "MAY", "JUNE", "JULY", "AUGUST", "SEPTEMBER", "OCTOBER", "NOVEMBER", "DECEMBER"
resp.time_alignment_boundary.day_of_month #=> Integer
resp.time_alignment_boundary.day_of_week #=> String, one of "MONDAY", "TUESDAY", "WEDNESDAY", "THURSDAY", "FRIDAY", "SATURDAY", "SUNDAY"
resp.time_alignment_boundary.hour #=> Integer

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :predictor_arn (required, String) —

    The Amazon Resource Name (ARN) of the predictor.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 2993

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

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

Describes an Amazon Forecast dataset created using the

CreateDataset][1

operation.

In addition to listing the parameters specified in the ‘CreateDataset` request, this operation includes the following dataset properties:

  • ‘CreationTime`

  • ‘LastModificationTime`

  • ‘Status`

[1]: docs.aws.amazon.com/forecast/latest/dg/API_CreateDataset.html

Examples:

Request syntax with placeholder values


resp = client.describe_dataset({
  dataset_arn: "Arn", # required
})

Response structure


resp.dataset_arn #=> String
resp.dataset_name #=> String
resp.domain #=> String, one of "RETAIL", "CUSTOM", "INVENTORY_PLANNING", "EC2_CAPACITY", "WORK_FORCE", "WEB_TRAFFIC", "METRICS"
resp.dataset_type #=> String, one of "TARGET_TIME_SERIES", "RELATED_TIME_SERIES", "ITEM_METADATA"
resp.data_frequency #=> String
resp.schema.attributes #=> Array
resp.schema.attributes[0].attribute_name #=> String
resp.schema.attributes[0].attribute_type #=> String, one of "string", "integer", "float", "timestamp", "geolocation"
resp.encryption_config.role_arn #=> String
resp.encryption_config.kms_key_arn #=> String
resp.status #=> String
resp.creation_time #=> Time
resp.last_modification_time #=> Time

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_arn (required, String) —

    The Amazon Resource Name (ARN) of the dataset.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3056

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

#describe_dataset_group(params = {}) ⇒ Types::DescribeDatasetGroupResponse

Describes a dataset group created using the [CreateDatasetGroup] operation.

In addition to listing the parameters provided in the ‘CreateDatasetGroup` request, this operation includes the following properties:

  • ‘DatasetArns` - The datasets belonging to the group.

  • ‘CreationTime`

  • ‘LastModificationTime`

  • ‘Status`

[1]: docs.aws.amazon.com/forecast/latest/dg/API_CreateDatasetGroup.html

Examples:

Request syntax with placeholder values


resp = client.describe_dataset_group({
  dataset_group_arn: "Arn", # required
})

Response structure


resp.dataset_group_name #=> String
resp.dataset_group_arn #=> String
resp.dataset_arns #=> Array
resp.dataset_arns[0] #=> String
resp.domain #=> String, one of "RETAIL", "CUSTOM", "INVENTORY_PLANNING", "EC2_CAPACITY", "WORK_FORCE", "WEB_TRAFFIC", "METRICS"
resp.status #=> String
resp.creation_time #=> Time
resp.last_modification_time #=> Time

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_group_arn (required, String) —

    The Amazon Resource Name (ARN) of the dataset group.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3114

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

#describe_dataset_import_job(params = {}) ⇒ Types::DescribeDatasetImportJobResponse

Describes a dataset import job created using the

CreateDatasetImportJob][1

operation.

In addition to listing the parameters provided in the ‘CreateDatasetImportJob` request, this operation includes the following properties:

  • ‘CreationTime`

  • ‘LastModificationTime`

  • ‘DataSize`

  • ‘FieldStatistics`

  • ‘Status`

  • ‘Message` - If an error occurred, information about the error.

[1]: docs.aws.amazon.com/forecast/latest/dg/API_CreateDatasetImportJob.html

Examples:

Request syntax with placeholder values


resp = client.describe_dataset_import_job({
  dataset_import_job_arn: "Arn", # required
})

Response structure


resp.dataset_import_job_name #=> String
resp.dataset_import_job_arn #=> String
resp.dataset_arn #=> String
resp.timestamp_format #=> String
resp.time_zone #=> String
resp.use_geolocation_for_time_zone #=> Boolean
resp.geolocation_format #=> String
resp.data_source.s3_config.path #=> String
resp.data_source.s3_config.role_arn #=> String
resp.data_source.s3_config.kms_key_arn #=> String
resp.estimated_time_remaining_in_minutes #=> Integer
resp.field_statistics #=> Hash
resp.field_statistics["String"].count #=> Integer
resp.field_statistics["String"].count_distinct #=> Integer
resp.field_statistics["String"].count_null #=> Integer
resp.field_statistics["String"].count_nan #=> Integer
resp.field_statistics["String"].min #=> String
resp.field_statistics["String"].max #=> String
resp.field_statistics["String"].avg #=> Float
resp.field_statistics["String"].stddev #=> Float
resp.field_statistics["String"].count_long #=> Integer
resp.field_statistics["String"].count_distinct_long #=> Integer
resp.field_statistics["String"].count_null_long #=> Integer
resp.field_statistics["String"].count_nan_long #=> Integer
resp.data_size #=> Float
resp.status #=> String
resp.message #=> String
resp.creation_time #=> Time
resp.last_modification_time #=> Time
resp.format #=> String
resp.import_mode #=> String, one of "FULL", "INCREMENTAL"

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_import_job_arn (required, String) —

    The Amazon Resource Name (ARN) of the dataset import job.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3209

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

#describe_explainability(params = {}) ⇒ Types::DescribeExplainabilityResponse

Describes an Explainability resource created using the CreateExplainability operation.

Examples:

Request syntax with placeholder values


resp = client.describe_explainability({
  explainability_arn: "Arn", # required
})

Response structure


resp.explainability_arn #=> String
resp.explainability_name #=> String
resp.resource_arn #=> String
resp.explainability_config.time_series_granularity #=> String, one of "ALL", "SPECIFIC"
resp.explainability_config.time_point_granularity #=> String, one of "ALL", "SPECIFIC"
resp.enable_visualization #=> Boolean
resp.data_source.s3_config.path #=> String
resp.data_source.s3_config.role_arn #=> String
resp.data_source.s3_config.kms_key_arn #=> String
resp.schema.attributes #=> Array
resp.schema.attributes[0].attribute_name #=> String
resp.schema.attributes[0].attribute_type #=> String, one of "string", "integer", "float", "timestamp", "geolocation"
resp.start_date_time #=> String
resp.end_date_time #=> String
resp.estimated_time_remaining_in_minutes #=> Integer
resp.message #=> String
resp.status #=> String
resp.creation_time #=> Time
resp.last_modification_time #=> Time

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :explainability_arn (required, String) —

    The Amazon Resource Name (ARN) of the Explaianability to describe.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3269

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

#describe_explainability_export(params = {}) ⇒ Types::DescribeExplainabilityExportResponse

Describes an Explainability export created using the CreateExplainabilityExport operation.

Examples:

Request syntax with placeholder values


resp = client.describe_explainability_export({
  explainability_export_arn: "Arn", # required
})

Response structure


resp.explainability_export_arn #=> String
resp.explainability_export_name #=> String
resp.explainability_arn #=> String
resp.destination.s3_config.path #=> String
resp.destination.s3_config.role_arn #=> String
resp.destination.s3_config.kms_key_arn #=> String
resp.message #=> String
resp.status #=> String
resp.creation_time #=> Time
resp.last_modification_time #=> Time
resp.format #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :explainability_export_arn (required, String) —

    The Amazon Resource Name (ARN) of the Explainability export.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3316

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

#describe_forecast(params = {}) ⇒ Types::DescribeForecastResponse

Describes a forecast created using the CreateForecast operation.

In addition to listing the properties provided in the ‘CreateForecast` request, this operation lists the following properties:

  • ‘DatasetGroupArn` - The dataset group that provided the training data.

  • ‘CreationTime`

  • ‘LastModificationTime`

  • ‘Status`

  • ‘Message` - If an error occurred, information about the error.

Examples:

Request syntax with placeholder values


resp = client.describe_forecast({
  forecast_arn: "Arn", # required
})

Response structure


resp.forecast_arn #=> String
resp.forecast_name #=> String
resp.forecast_types #=> Array
resp.forecast_types[0] #=> String
resp.predictor_arn #=> String
resp.dataset_group_arn #=> String
resp.estimated_time_remaining_in_minutes #=> Integer
resp.status #=> String
resp.message #=> String
resp.creation_time #=> Time
resp.last_modification_time #=> Time
resp.time_series_selector.time_series_identifiers.data_source.s3_config.path #=> String
resp.time_series_selector.time_series_identifiers.data_source.s3_config.role_arn #=> String
resp.time_series_selector.time_series_identifiers.data_source.s3_config.kms_key_arn #=> String
resp.time_series_selector.time_series_identifiers.schema.attributes #=> Array
resp.time_series_selector.time_series_identifiers.schema.attributes[0].attribute_name #=> String
resp.time_series_selector.time_series_identifiers.schema.attributes[0].attribute_type #=> String, one of "string", "integer", "float", "timestamp", "geolocation"
resp.time_series_selector.time_series_identifiers.format #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :forecast_arn (required, String) —

    The Amazon Resource Name (ARN) of the forecast.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3385

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

#describe_forecast_export_job(params = {}) ⇒ Types::DescribeForecastExportJobResponse

Describes a forecast export job created using the CreateForecastExportJob operation.

In addition to listing the properties provided by the user in the ‘CreateForecastExportJob` request, this operation lists the following properties:

  • ‘CreationTime`

  • ‘LastModificationTime`

  • ‘Status`

  • ‘Message` - If an error occurred, information about the error.

Examples:

Request syntax with placeholder values


resp = client.describe_forecast_export_job({
  forecast_export_job_arn: "Arn", # required
})

Response structure


resp.forecast_export_job_arn #=> String
resp.forecast_export_job_name #=> String
resp.forecast_arn #=> String
resp.destination.s3_config.path #=> String
resp.destination.s3_config.role_arn #=> String
resp.destination.s3_config.kms_key_arn #=> String
resp.message #=> String
resp.status #=> String
resp.creation_time #=> Time
resp.last_modification_time #=> Time
resp.format #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :forecast_export_job_arn (required, String) —

    The Amazon Resource Name (ARN) of the forecast export job.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3444

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

#describe_monitor(params = {}) ⇒ Types::DescribeMonitorResponse

Describes a monitor resource. In addition to listing the properties provided in the CreateMonitor request, this operation lists the following properties:

  • ‘Baseline`

  • ‘CreationTime`

  • ‘LastEvaluationTime`

  • ‘LastEvaluationState`

  • ‘LastModificationTime`

  • ‘Message`

  • ‘Status`

Examples:

Request syntax with placeholder values


resp = client.describe_monitor({
  monitor_arn: "Arn", # required
})

Response structure


resp.monitor_name #=> String
resp.monitor_arn #=> String
resp.resource_arn #=> String
resp.status #=> String
resp.last_evaluation_time #=> Time
resp.last_evaluation_state #=> String
resp.baseline.predictor_baseline.baseline_metrics #=> Array
resp.baseline.predictor_baseline.baseline_metrics[0].name #=> String
resp.baseline.predictor_baseline.baseline_metrics[0].value #=> Float
resp.message #=> String
resp.creation_time #=> Time
resp.last_modification_time #=> Time
resp.estimated_evaluation_time_remaining_in_minutes #=> Integer

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :monitor_arn (required, String) —

    The Amazon Resource Name (ARN) of the monitor resource to describe.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3510

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

#describe_predictor(params = {}) ⇒ Types::DescribePredictorResponse

<note markdown=“1”> This operation is only valid for legacy predictors created with CreatePredictor. If you are not using a legacy predictor, use DescribeAutoPredictor.

</note>

Describes a predictor created using the CreatePredictor operation.

In addition to listing the properties provided in the ‘CreatePredictor` request, this operation lists the following properties:

  • ‘DatasetImportJobArns` - The dataset import jobs used to import training data.

  • ‘AutoMLAlgorithmArns` - If AutoML is performed, the algorithms that were evaluated.

  • ‘CreationTime`

  • ‘LastModificationTime`

  • ‘Status`

  • ‘Message` - If an error occurred, information about the error.

Examples:

Request syntax with placeholder values


resp = client.describe_predictor({
  predictor_arn: "Arn", # required
})

Response structure


resp.predictor_arn #=> String
resp.predictor_name #=> String
resp.algorithm_arn #=> String
resp.auto_ml_algorithm_arns #=> Array
resp.auto_ml_algorithm_arns[0] #=> String
resp.forecast_horizon #=> Integer
resp.forecast_types #=> Array
resp.forecast_types[0] #=> String
resp.perform_auto_ml #=> Boolean
resp.auto_ml_override_strategy #=> String, one of "LatencyOptimized", "AccuracyOptimized"
resp.perform_hpo #=> Boolean
resp.training_parameters #=> Hash
resp.training_parameters["ParameterKey"] #=> String
resp.evaluation_parameters.number_of_backtest_windows #=> Integer
resp.evaluation_parameters.back_test_window_offset #=> Integer
resp.hpo_config.parameter_ranges.categorical_parameter_ranges #=> Array
resp.hpo_config.parameter_ranges.categorical_parameter_ranges[0].name #=> String
resp.hpo_config.parameter_ranges.categorical_parameter_ranges[0].values #=> Array
resp.hpo_config.parameter_ranges.categorical_parameter_ranges[0].values[0] #=> String
resp.hpo_config.parameter_ranges.continuous_parameter_ranges #=> Array
resp.hpo_config.parameter_ranges.continuous_parameter_ranges[0].name #=> String
resp.hpo_config.parameter_ranges.continuous_parameter_ranges[0].max_value #=> Float
resp.hpo_config.parameter_ranges.continuous_parameter_ranges[0].min_value #=> Float
resp.hpo_config.parameter_ranges.continuous_parameter_ranges[0].scaling_type #=> String, one of "Auto", "Linear", "Logarithmic", "ReverseLogarithmic"
resp.hpo_config.parameter_ranges.integer_parameter_ranges #=> Array
resp.hpo_config.parameter_ranges.integer_parameter_ranges[0].name #=> String
resp.hpo_config.parameter_ranges.integer_parameter_ranges[0].max_value #=> Integer
resp.hpo_config.parameter_ranges.integer_parameter_ranges[0].min_value #=> Integer
resp.hpo_config.parameter_ranges.integer_parameter_ranges[0].scaling_type #=> String, one of "Auto", "Linear", "Logarithmic", "ReverseLogarithmic"
resp.input_data_config.dataset_group_arn #=> String
resp.input_data_config.supplementary_features #=> Array
resp.input_data_config.supplementary_features[0].name #=> String
resp.input_data_config.supplementary_features[0].value #=> String
resp.featurization_config.forecast_frequency #=> String
resp.featurization_config.forecast_dimensions #=> Array
resp.featurization_config.forecast_dimensions[0] #=> String
resp.featurization_config.featurizations #=> Array
resp.featurization_config.featurizations[0].attribute_name #=> String
resp.featurization_config.featurizations[0].featurization_pipeline #=> Array
resp.featurization_config.featurizations[0].featurization_pipeline[0].featurization_method_name #=> String, one of "filling"
resp.featurization_config.featurizations[0].featurization_pipeline[0].featurization_method_parameters #=> Hash
resp.featurization_config.featurizations[0].featurization_pipeline[0].featurization_method_parameters["ParameterKey"] #=> String
resp.encryption_config.role_arn #=> String
resp.encryption_config.kms_key_arn #=> String
resp.predictor_execution_details.predictor_executions #=> Array
resp.predictor_execution_details.predictor_executions[0].algorithm_arn #=> String
resp.predictor_execution_details.predictor_executions[0].test_windows #=> Array
resp.predictor_execution_details.predictor_executions[0].test_windows[0].test_window_start #=> Time
resp.predictor_execution_details.predictor_executions[0].test_windows[0].test_window_end #=> Time
resp.predictor_execution_details.predictor_executions[0].test_windows[0].status #=> String
resp.predictor_execution_details.predictor_executions[0].test_windows[0].message #=> String
resp.estimated_time_remaining_in_minutes #=> Integer
resp.is_auto_predictor #=> Boolean
resp.dataset_import_job_arns #=> Array
resp.dataset_import_job_arns[0] #=> String
resp.status #=> String
resp.message #=> String
resp.creation_time #=> Time
resp.last_modification_time #=> Time
resp.optimization_metric #=> String, one of "WAPE", "RMSE", "AverageWeightedQuantileLoss", "MASE", "MAPE"

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :predictor_arn (required, String) —

    The Amazon Resource Name (ARN) of the predictor that you want information about.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3645

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

#describe_predictor_backtest_export_job(params = {}) ⇒ Types::DescribePredictorBacktestExportJobResponse

Describes a predictor backtest export job created using the CreatePredictorBacktestExportJob operation.

In addition to listing the properties provided by the user in the ‘CreatePredictorBacktestExportJob` request, this operation lists the following properties:

  • ‘CreationTime`

  • ‘LastModificationTime`

  • ‘Status`

  • ‘Message` (if an error occurred)

Examples:

Request syntax with placeholder values


resp = client.describe_predictor_backtest_export_job({
  predictor_backtest_export_job_arn: "Arn", # required
})

Response structure


resp.predictor_backtest_export_job_arn #=> String
resp.predictor_backtest_export_job_name #=> String
resp.predictor_arn #=> String
resp.destination.s3_config.path #=> String
resp.destination.s3_config.role_arn #=> String
resp.destination.s3_config.kms_key_arn #=> String
resp.message #=> String
resp.status #=> String
resp.creation_time #=> Time
resp.last_modification_time #=> Time
resp.format #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :predictor_backtest_export_job_arn (required, String) —

    The Amazon Resource Name (ARN) of the predictor backtest export job.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3704

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

#describe_what_if_analysis(params = {}) ⇒ Types::DescribeWhatIfAnalysisResponse

Describes the what-if analysis created using the CreateWhatIfAnalysis operation.

In addition to listing the properties provided in the ‘CreateWhatIfAnalysis` request, this operation lists the following properties:

  • ‘CreationTime`

  • ‘LastModificationTime`

  • ‘Message` - If an error occurred, information about the error.

  • ‘Status`

Examples:

Request syntax with placeholder values


resp = client.describe_what_if_analysis({
  what_if_analysis_arn: "Arn", # required
})

Response structure


resp.what_if_analysis_name #=> String
resp.what_if_analysis_arn #=> String
resp.forecast_arn #=> String
resp.estimated_time_remaining_in_minutes #=> Integer
resp.status #=> String
resp.message #=> String
resp.creation_time #=> Time
resp.last_modification_time #=> Time
resp.time_series_selector.time_series_identifiers.data_source.s3_config.path #=> String
resp.time_series_selector.time_series_identifiers.data_source.s3_config.role_arn #=> String
resp.time_series_selector.time_series_identifiers.data_source.s3_config.kms_key_arn #=> String
resp.time_series_selector.time_series_identifiers.schema.attributes #=> Array
resp.time_series_selector.time_series_identifiers.schema.attributes[0].attribute_name #=> String
resp.time_series_selector.time_series_identifiers.schema.attributes[0].attribute_type #=> String, one of "string", "integer", "float", "timestamp", "geolocation"
resp.time_series_selector.time_series_identifiers.format #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :what_if_analysis_arn (required, String) —

    The Amazon Resource Name (ARN) of the what-if analysis that you are interested in.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3768

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

#describe_what_if_forecast(params = {}) ⇒ Types::DescribeWhatIfForecastResponse

Describes the what-if forecast created using the CreateWhatIfForecast operation.

In addition to listing the properties provided in the ‘CreateWhatIfForecast` request, this operation lists the following properties:

  • ‘CreationTime`

  • ‘LastModificationTime`

  • ‘Message` - If an error occurred, information about the error.

  • ‘Status`

Examples:

Request syntax with placeholder values


resp = client.describe_what_if_forecast({
  what_if_forecast_arn: "LongArn", # required
})

Response structure


resp.what_if_forecast_name #=> String
resp.what_if_forecast_arn #=> String
resp.what_if_analysis_arn #=> String
resp.estimated_time_remaining_in_minutes #=> Integer
resp.status #=> String
resp.message #=> String
resp.creation_time #=> Time
resp.last_modification_time #=> Time
resp.time_series_transformations #=> Array
resp.time_series_transformations[0].action.attribute_name #=> String
resp.time_series_transformations[0].action.operation #=> String, one of "ADD", "SUBTRACT", "MULTIPLY", "DIVIDE"
resp.time_series_transformations[0].action.value #=> Float
resp.time_series_transformations[0].time_series_conditions #=> Array
resp.time_series_transformations[0].time_series_conditions[0].attribute_name #=> String
resp.time_series_transformations[0].time_series_conditions[0].attribute_value #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.time_series_transformations[0].time_series_conditions[0].condition #=> String, one of "EQUALS", "NOT_EQUALS", "LESS_THAN", "GREATER_THAN"
resp.time_series_replacements_data_source.s3_config.path #=> String
resp.time_series_replacements_data_source.s3_config.role_arn #=> String
resp.time_series_replacements_data_source.s3_config.kms_key_arn #=> String
resp.time_series_replacements_data_source.schema.attributes #=> Array
resp.time_series_replacements_data_source.schema.attributes[0].attribute_name #=> String
resp.time_series_replacements_data_source.schema.attributes[0].attribute_type #=> String, one of "string", "integer", "float", "timestamp", "geolocation"
resp.time_series_replacements_data_source.format #=> String
resp.time_series_replacements_data_source.timestamp_format #=> String
resp.forecast_types #=> Array
resp.forecast_types[0] #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :what_if_forecast_arn (required, String) —

    The Amazon Resource Name (ARN) of the what-if forecast that you are interested in.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3845

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

#describe_what_if_forecast_export(params = {}) ⇒ Types::DescribeWhatIfForecastExportResponse

Describes the what-if forecast export created using the CreateWhatIfForecastExport operation.

In addition to listing the properties provided in the ‘CreateWhatIfForecastExport` request, this operation lists the following properties:

  • ‘CreationTime`

  • ‘LastModificationTime`

  • ‘Message` - If an error occurred, information about the error.

  • ‘Status`

Examples:

Request syntax with placeholder values


resp = client.describe_what_if_forecast_export({
  what_if_forecast_export_arn: "LongArn", # required
})

Response structure


resp.what_if_forecast_export_arn #=> String
resp.what_if_forecast_export_name #=> String
resp.what_if_forecast_arns #=> Array
resp.what_if_forecast_arns[0] #=> String
resp.destination.s3_config.path #=> String
resp.destination.s3_config.role_arn #=> String
resp.destination.s3_config.kms_key_arn #=> String
resp.message #=> String
resp.status #=> String
resp.creation_time #=> Time
resp.estimated_time_remaining_in_minutes #=> Integer
resp.last_modification_time #=> Time
resp.format #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :what_if_forecast_export_arn (required, String) —

    The Amazon Resource Name (ARN) of the what-if forecast export that you are interested in.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3908

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

#get_accuracy_metrics(params = {}) ⇒ Types::GetAccuracyMetricsResponse

Provides metrics on the accuracy of the models that were trained by the CreatePredictor operation. Use metrics to see how well the model performed and to decide whether to use the predictor to generate a forecast. For more information, see [Predictor Metrics].

This operation generates metrics for each backtest window that was evaluated. The number of backtest windows (‘NumberOfBacktestWindows`) is specified using the EvaluationParameters object, which is optionally included in the `CreatePredictor` request. If `NumberOfBacktestWindows` isn’t specified, the number defaults to one.

The parameters of the ‘filling` method determine which items contribute to the metrics. If you want all items to contribute, specify `zero`. If you want only those items that have complete data in the range being evaluated to contribute, specify `nan`. For more information, see FeaturizationMethod.

<note markdown=“1”> Before you can get accuracy metrics, the ‘Status` of the predictor must be `ACTIVE`, signifying that training has completed. To get the status, use the DescribePredictor operation.

</note>

[1]: docs.aws.amazon.com/forecast/latest/dg/metrics.html

Examples:

Request syntax with placeholder values


resp = client.get_accuracy_metrics({
  predictor_arn: "Arn", # required
})

Response structure


resp.predictor_evaluation_results #=> Array
resp.predictor_evaluation_results[0].algorithm_arn #=> String
resp.predictor_evaluation_results[0].test_windows #=> Array
resp.predictor_evaluation_results[0].test_windows[0].test_window_start #=> Time
resp.predictor_evaluation_results[0].test_windows[0].test_window_end #=> Time
resp.predictor_evaluation_results[0].test_windows[0].item_count #=> Integer
resp.predictor_evaluation_results[0].test_windows[0].evaluation_type #=> String, one of "SUMMARY", "COMPUTED"
resp.predictor_evaluation_results[0].test_windows[0].metrics.rmse #=> Float
resp.predictor_evaluation_results[0].test_windows[0].metrics.weighted_quantile_losses #=> Array
resp.predictor_evaluation_results[0].test_windows[0].metrics.weighted_quantile_losses[0].quantile #=> Float
resp.predictor_evaluation_results[0].test_windows[0].metrics.weighted_quantile_losses[0].loss_value #=> Float
resp.predictor_evaluation_results[0].test_windows[0].metrics.error_metrics #=> Array
resp.predictor_evaluation_results[0].test_windows[0].metrics.error_metrics[0].forecast_type #=> String
resp.predictor_evaluation_results[0].test_windows[0].metrics.error_metrics[0].wape #=> Float
resp.predictor_evaluation_results[0].test_windows[0].metrics.error_metrics[0].rmse #=> Float
resp.predictor_evaluation_results[0].test_windows[0].metrics.error_metrics[0].mase #=> Float
resp.predictor_evaluation_results[0].test_windows[0].metrics.error_metrics[0].mape #=> Float
resp.predictor_evaluation_results[0].test_windows[0].metrics.average_weighted_quantile_loss #=> Float
resp.is_auto_predictor #=> Boolean
resp.auto_ml_override_strategy #=> String, one of "LatencyOptimized", "AccuracyOptimized"
resp.optimization_metric #=> String, one of "WAPE", "RMSE", "AverageWeightedQuantileLoss", "MASE", "MAPE"

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :predictor_arn (required, String) —

    The Amazon Resource Name (ARN) of the predictor to get metrics for.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 3985

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

#list_dataset_groups(params = {}) ⇒ Types::ListDatasetGroupsResponse

Returns a list of dataset groups created using the

CreateDatasetGroup][1

operation. For each dataset group, this

operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the dataset group ARN with the [DescribeDatasetGroup] operation.

[1]: docs.aws.amazon.com/forecast/latest/dg/API_CreateDatasetGroup.html [2]: docs.aws.amazon.com/forecast/latest/dg/API_DescribeDatasetGroup.html

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_dataset_groups({
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.dataset_groups #=> Array
resp.dataset_groups[0].dataset_group_arn #=> String
resp.dataset_groups[0].dataset_group_name #=> String
resp.dataset_groups[0].creation_time #=> Time
resp.dataset_groups[0].last_modification_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a ‘NextToken`. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The number of items to return in the response.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 4037

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

#list_dataset_import_jobs(params = {}) ⇒ Types::ListDatasetImportJobsResponse

Returns a list of dataset import jobs created using the

CreateDatasetImportJob][1

operation. For each import job, this

operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the ARN with the [DescribeDatasetImportJob] operation. You can filter the list by providing an array of [Filter] objects.

[1]: docs.aws.amazon.com/forecast/latest/dg/API_CreateDatasetImportJob.html [2]: docs.aws.amazon.com/forecast/latest/dg/API_DescribeDatasetImportJob.html [3]: docs.aws.amazon.com/forecast/latest/dg/API_Filter.html

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_dataset_import_jobs({
  next_token: "NextToken",
  max_results: 1,
  filters: [
    {
      key: "String", # required
      value: "Arn", # required
      condition: "IS", # required, accepts IS, IS_NOT
    },
  ],
})

Response structure


resp.dataset_import_jobs #=> Array
resp.dataset_import_jobs[0].dataset_import_job_arn #=> String
resp.dataset_import_jobs[0].dataset_import_job_name #=> String
resp.dataset_import_jobs[0].data_source.s3_config.path #=> String
resp.dataset_import_jobs[0].data_source.s3_config.role_arn #=> String
resp.dataset_import_jobs[0].data_source.s3_config.kms_key_arn #=> String
resp.dataset_import_jobs[0].status #=> String
resp.dataset_import_jobs[0].message #=> String
resp.dataset_import_jobs[0].creation_time #=> Time
resp.dataset_import_jobs[0].last_modification_time #=> Time
resp.dataset_import_jobs[0].import_mode #=> String, one of "FULL", "INCREMENTAL"
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a ‘NextToken`. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The number of items to return in the response.

  • :filters (Array<Types::Filter>) —

    An array of filters. For each filter, you provide a condition and a match statement. The condition is either ‘IS` or `IS_NOT`, which specifies whether to include or exclude the datasets that match the statement from the list, respectively. The match statement consists of a key and a value.

    **Filter properties**

    • ‘Condition` - The condition to apply. Valid values are `IS` and `IS_NOT`. To include the datasets that match the statement, specify `IS`. To exclude matching datasets, specify `IS_NOT`.

    • ‘Key` - The name of the parameter to filter on. Valid values are `DatasetArn` and `Status`.

    • ‘Value` - The value to match.

    For example, to list all dataset import jobs whose status is ACTIVE, you specify the following filter:

    ‘“Filters”: [ { “Condition”: “IS”, “Key”: “Status”, “Value”: “ACTIVE” } ]`

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 4127

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

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

Returns a list of datasets created using the [CreateDataset] operation. For each dataset, a summary of its properties, including its Amazon Resource Name (ARN), is returned. To retrieve the complete set of properties, use the ARN with the [DescribeDataset] operation.

[1]: docs.aws.amazon.com/forecast/latest/dg/API_CreateDataset.html [2]: docs.aws.amazon.com/forecast/latest/dg/API_DescribeDataset.html

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,
})

Response structure


resp.datasets #=> Array
resp.datasets[0].dataset_arn #=> String
resp.datasets[0].dataset_name #=> String
resp.datasets[0].dataset_type #=> String, one of "TARGET_TIME_SERIES", "RELATED_TIME_SERIES", "ITEM_METADATA"
resp.datasets[0].domain #=> String, one of "RETAIL", "CUSTOM", "INVENTORY_PLANNING", "EC2_CAPACITY", "WORK_FORCE", "WEB_TRAFFIC", "METRICS"
resp.datasets[0].creation_time #=> Time
resp.datasets[0].last_modification_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a ‘NextToken`. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The number of items to return in the response.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 4180

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

#list_explainabilities(params = {}) ⇒ Types::ListExplainabilitiesResponse

Returns a list of Explainability resources created using the CreateExplainability operation. This operation returns a summary for each Explainability. You can filter the list using an array of Filter objects.

To retrieve the complete set of properties for a particular Explainability resource, use the ARN with the DescribeExplainability operation.

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_explainabilities({
  next_token: "NextToken",
  max_results: 1,
  filters: [
    {
      key: "String", # required
      value: "Arn", # required
      condition: "IS", # required, accepts IS, IS_NOT
    },
  ],
})

Response structure


resp.explainabilities #=> Array
resp.explainabilities[0].explainability_arn #=> String
resp.explainabilities[0].explainability_name #=> String
resp.explainabilities[0].resource_arn #=> String
resp.explainabilities[0].explainability_config.time_series_granularity #=> String, one of "ALL", "SPECIFIC"
resp.explainabilities[0].explainability_config.time_point_granularity #=> String, one of "ALL", "SPECIFIC"
resp.explainabilities[0].status #=> String
resp.explainabilities[0].message #=> String
resp.explainabilities[0].creation_time #=> Time
resp.explainabilities[0].last_modification_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The number of items returned in the response.

  • :filters (Array<Types::Filter>) —

    An array of filters. For each filter, provide a condition and a match statement. The condition is either ‘IS` or `IS_NOT`, which specifies whether to include or exclude the resources that match the statement from the list. The match statement consists of a key and a value.

    **Filter properties**

    • ‘Condition` - The condition to apply. Valid values are `IS` and `IS_NOT`.

    • ‘Key` - The name of the parameter to filter on. Valid values are `ResourceArn` and `Status`.

    • ‘Value` - The value to match.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 4257

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

#list_explainability_exports(params = {}) ⇒ Types::ListExplainabilityExportsResponse

Returns a list of Explainability exports created using the CreateExplainabilityExport operation. This operation returns a summary for each Explainability export. You can filter the list using an array of Filter objects.

To retrieve the complete set of properties for a particular Explainability export, use the ARN with the DescribeExplainability operation.

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_explainability_exports({
  next_token: "NextToken",
  max_results: 1,
  filters: [
    {
      key: "String", # required
      value: "Arn", # required
      condition: "IS", # required, accepts IS, IS_NOT
    },
  ],
})

Response structure


resp.explainability_exports #=> Array
resp.explainability_exports[0].explainability_export_arn #=> String
resp.explainability_exports[0].explainability_export_name #=> String
resp.explainability_exports[0].destination.s3_config.path #=> String
resp.explainability_exports[0].destination.s3_config.role_arn #=> String
resp.explainability_exports[0].destination.s3_config.kms_key_arn #=> String
resp.explainability_exports[0].status #=> String
resp.explainability_exports[0].message #=> String
resp.explainability_exports[0].creation_time #=> Time
resp.explainability_exports[0].last_modification_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The number of items to return in the response.

  • :filters (Array<Types::Filter>) —

    An array of filters. For each filter, provide a condition and a match statement. The condition is either ‘IS` or `IS_NOT`, which specifies whether to include or exclude resources that match the statement from the list. The match statement consists of a key and a value.

    **Filter properties**

    • ‘Condition` - The condition to apply. Valid values are `IS` and `IS_NOT`.

    • ‘Key` - The name of the parameter to filter on. Valid values are `ResourceArn` and `Status`.

    • ‘Value` - The value to match.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 4334

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

#list_forecast_export_jobs(params = {}) ⇒ Types::ListForecastExportJobsResponse

Returns a list of forecast export jobs created using the CreateForecastExportJob operation. For each forecast export job, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). To retrieve the complete set of properties, use the ARN with the DescribeForecastExportJob operation. You can filter the list using an array of Filter objects.

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_forecast_export_jobs({
  next_token: "NextToken",
  max_results: 1,
  filters: [
    {
      key: "String", # required
      value: "Arn", # required
      condition: "IS", # required, accepts IS, IS_NOT
    },
  ],
})

Response structure


resp.forecast_export_jobs #=> Array
resp.forecast_export_jobs[0].forecast_export_job_arn #=> String
resp.forecast_export_jobs[0].forecast_export_job_name #=> String
resp.forecast_export_jobs[0].destination.s3_config.path #=> String
resp.forecast_export_jobs[0].destination.s3_config.role_arn #=> String
resp.forecast_export_jobs[0].destination.s3_config.kms_key_arn #=> String
resp.forecast_export_jobs[0].status #=> String
resp.forecast_export_jobs[0].message #=> String
resp.forecast_export_jobs[0].creation_time #=> Time
resp.forecast_export_jobs[0].last_modification_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a ‘NextToken`. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The number of items to return in the response.

  • :filters (Array<Types::Filter>) —

    An array of filters. For each filter, you provide a condition and a match statement. The condition is either ‘IS` or `IS_NOT`, which specifies whether to include or exclude the forecast export jobs that match the statement from the list, respectively. The match statement consists of a key and a value.

    **Filter properties**

    • ‘Condition` - The condition to apply. Valid values are `IS` and `IS_NOT`. To include the forecast export jobs that match the statement, specify `IS`. To exclude matching forecast export jobs, specify `IS_NOT`.

    • ‘Key` - The name of the parameter to filter on. Valid values are `ForecastArn` and `Status`.

    • ‘Value` - The value to match.

    For example, to list all jobs that export a forecast named electricityforecast, specify the following filter:

    ‘“Filters”: [ { “Condition”: “IS”, “Key”: “ForecastArn”, “Value”: “arn:aws:forecast:us-west-2:<acct-id>:forecast/electricityforecast” } ]`

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 4419

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

#list_forecasts(params = {}) ⇒ Types::ListForecastsResponse

Returns a list of forecasts created using the CreateForecast operation. For each forecast, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). To retrieve the complete set of properties, specify the ARN with the DescribeForecast operation. You can filter the list using an array of Filter objects.

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_forecasts({
  next_token: "NextToken",
  max_results: 1,
  filters: [
    {
      key: "String", # required
      value: "Arn", # required
      condition: "IS", # required, accepts IS, IS_NOT
    },
  ],
})

Response structure


resp.forecasts #=> Array
resp.forecasts[0].forecast_arn #=> String
resp.forecasts[0].forecast_name #=> String
resp.forecasts[0].predictor_arn #=> String
resp.forecasts[0].created_using_auto_predictor #=> Boolean
resp.forecasts[0].dataset_group_arn #=> String
resp.forecasts[0].status #=> String
resp.forecasts[0].message #=> String
resp.forecasts[0].creation_time #=> Time
resp.forecasts[0].last_modification_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a ‘NextToken`. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The number of items to return in the response.

  • :filters (Array<Types::Filter>) —

    An array of filters. For each filter, you provide a condition and a match statement. The condition is either ‘IS` or `IS_NOT`, which specifies whether to include or exclude the forecasts that match the statement from the list, respectively. The match statement consists of a key and a value.

    **Filter properties**

    • ‘Condition` - The condition to apply. Valid values are `IS` and `IS_NOT`. To include the forecasts that match the statement, specify `IS`. To exclude matching forecasts, specify `IS_NOT`.

    • ‘Key` - The name of the parameter to filter on. Valid values are `DatasetGroupArn`, `PredictorArn`, and `Status`.

    • ‘Value` - The value to match.

    For example, to list all forecasts whose status is not ACTIVE, you would specify:

    ‘“Filters”: [ { “Condition”: “IS_NOT”, “Key”: “Status”, “Value”: “ACTIVE” } ]`

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 4501

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

#list_monitor_evaluations(params = {}) ⇒ Types::ListMonitorEvaluationsResponse

Returns a list of the monitoring evaluation results and predictor events collected by the monitor resource during different windows of time.

For information about monitoring see predictor-monitoring. For more information about retrieving monitoring results see [Viewing Monitoring Results].

[1]: docs.aws.amazon.com/forecast/latest/dg/predictor-monitoring-results.html

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_monitor_evaluations({
  next_token: "NextToken",
  max_results: 1,
  monitor_arn: "Arn", # required
  filters: [
    {
      key: "String", # required
      value: "Arn", # required
      condition: "IS", # required, accepts IS, IS_NOT
    },
  ],
})

Response structure


resp.next_token #=> String
resp.predictor_monitor_evaluations #=> Array
resp.predictor_monitor_evaluations[0].resource_arn #=> String
resp.predictor_monitor_evaluations[0].monitor_arn #=> String
resp.predictor_monitor_evaluations[0].evaluation_time #=> Time
resp.predictor_monitor_evaluations[0].evaluation_state #=> String
resp.predictor_monitor_evaluations[0].window_start_datetime #=> Time
resp.predictor_monitor_evaluations[0].window_end_datetime #=> Time
resp.predictor_monitor_evaluations[0].predictor_event.detail #=> String
resp.predictor_monitor_evaluations[0].predictor_event.datetime #=> Time
resp.predictor_monitor_evaluations[0].monitor_data_source.dataset_import_job_arn #=> String
resp.predictor_monitor_evaluations[0].monitor_data_source.forecast_arn #=> String
resp.predictor_monitor_evaluations[0].monitor_data_source.predictor_arn #=> String
resp.predictor_monitor_evaluations[0].metric_results #=> Array
resp.predictor_monitor_evaluations[0].metric_results[0].metric_name #=> String
resp.predictor_monitor_evaluations[0].metric_results[0].metric_value #=> Float
resp.predictor_monitor_evaluations[0].num_items_evaluated #=> Integer
resp.predictor_monitor_evaluations[0].message #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a ‘NextToken`. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The maximum number of monitoring results to return.

  • :monitor_arn (required, String) —

    The Amazon Resource Name (ARN) of the monitor resource to get results from.

  • :filters (Array<Types::Filter>) —

    An array of filters. For each filter, provide a condition and a match statement. The condition is either ‘IS` or `IS_NOT`, which specifies whether to include or exclude the resources that match the statement from the list. The match statement consists of a key and a value.

    **Filter properties**

    • ‘Condition` - The condition to apply. Valid values are `IS` and `IS_NOT`.

    • ‘Key` - The name of the parameter to filter on. The only valid value is `EvaluationState`.

    • ‘Value` - The value to match. Valid values are only `SUCCESS` or `FAILURE`.

    For example, to list only successful monitor evaluations, you would specify:

    ‘“Filters”: [ { “Condition”: “IS”, “Key”: “EvaluationState”, “Value”: “SUCCESS” } ]`

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 4600

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

#list_monitors(params = {}) ⇒ Types::ListMonitorsResponse

Returns a list of monitors created with the CreateMonitor operation and CreateAutoPredictor operation. For each monitor resource, this operation returns of a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve a complete set of properties of a monitor resource by specify the monitor’s ARN in the DescribeMonitor operation.

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_monitors({
  next_token: "NextToken",
  max_results: 1,
  filters: [
    {
      key: "String", # required
      value: "Arn", # required
      condition: "IS", # required, accepts IS, IS_NOT
    },
  ],
})

Response structure


resp.monitors #=> Array
resp.monitors[0].monitor_arn #=> String
resp.monitors[0].monitor_name #=> String
resp.monitors[0].resource_arn #=> String
resp.monitors[0].status #=> String
resp.monitors[0].creation_time #=> Time
resp.monitors[0].last_modification_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a ‘NextToken`. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The maximum number of monitors to include in the response.

  • :filters (Array<Types::Filter>) —

    An array of filters. For each filter, provide a condition and a match statement. The condition is either ‘IS` or `IS_NOT`, which specifies whether to include or exclude the resources that match the statement from the list. The match statement consists of a key and a value.

    **Filter properties**

    • ‘Condition` - The condition to apply. Valid values are `IS` and `IS_NOT`.

    • ‘Key` - The name of the parameter to filter on. The only valid value is `Status`.

    • ‘Value` - The value to match.

    For example, to list all monitors who’s status is ACTIVE, you would specify:

    ‘“Filters”: [ { “Condition”: “IS”, “Key”: “Status”, “Value”: “ACTIVE” } ]`

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 4678

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

#list_predictor_backtest_export_jobs(params = {}) ⇒ Types::ListPredictorBacktestExportJobsResponse

Returns a list of predictor backtest export jobs created using the CreatePredictorBacktestExportJob operation. This operation returns a summary for each backtest export job. You can filter the list using an array of Filter objects.

To retrieve the complete set of properties for a particular backtest export job, use the ARN with the DescribePredictorBacktestExportJob operation.

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_predictor_backtest_export_jobs({
  next_token: "NextToken",
  max_results: 1,
  filters: [
    {
      key: "String", # required
      value: "Arn", # required
      condition: "IS", # required, accepts IS, IS_NOT
    },
  ],
})

Response structure


resp.predictor_backtest_export_jobs #=> Array
resp.predictor_backtest_export_jobs[0].predictor_backtest_export_job_arn #=> String
resp.predictor_backtest_export_jobs[0].predictor_backtest_export_job_name #=> String
resp.predictor_backtest_export_jobs[0].destination.s3_config.path #=> String
resp.predictor_backtest_export_jobs[0].destination.s3_config.role_arn #=> String
resp.predictor_backtest_export_jobs[0].destination.s3_config.kms_key_arn #=> String
resp.predictor_backtest_export_jobs[0].status #=> String
resp.predictor_backtest_export_jobs[0].message #=> String
resp.predictor_backtest_export_jobs[0].creation_time #=> Time
resp.predictor_backtest_export_jobs[0].last_modification_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The number of items to return in the response.

  • :filters (Array<Types::Filter>) —

    An array of filters. For each filter, provide a condition and a match statement. The condition is either ‘IS` or `IS_NOT`, which specifies whether to include or exclude the predictor backtest export jobs that match the statement from the list. The match statement consists of a key and a value.

    **Filter properties**

    • ‘Condition` - The condition to apply. Valid values are `IS` and `IS_NOT`. To include the predictor backtest export jobs that match the statement, specify `IS`. To exclude matching predictor backtest export jobs, specify `IS_NOT`.

    • ‘Key` - The name of the parameter to filter on. Valid values are `PredictorArn` and `Status`.

    • ‘Value` - The value to match.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 4758

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

#list_predictors(params = {}) ⇒ Types::ListPredictorsResponse

Returns a list of predictors created using the CreateAutoPredictor or CreatePredictor operations. For each predictor, this operation returns a summary of its properties, including its Amazon Resource Name (ARN).

You can retrieve the complete set of properties by using the ARN with the DescribeAutoPredictor and DescribePredictor operations. You can filter the list using an array of Filter objects.

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_predictors({
  next_token: "NextToken",
  max_results: 1,
  filters: [
    {
      key: "String", # required
      value: "Arn", # required
      condition: "IS", # required, accepts IS, IS_NOT
    },
  ],
})

Response structure


resp.predictors #=> Array
resp.predictors[0].predictor_arn #=> String
resp.predictors[0].predictor_name #=> String
resp.predictors[0].dataset_group_arn #=> String
resp.predictors[0].is_auto_predictor #=> Boolean
resp.predictors[0].reference_predictor_summary.arn #=> String
resp.predictors[0].reference_predictor_summary.state #=> String, one of "Active", "Deleted"
resp.predictors[0].status #=> String
resp.predictors[0].message #=> String
resp.predictors[0].creation_time #=> Time
resp.predictors[0].last_modification_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a ‘NextToken`. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The number of items to return in the response.

  • :filters (Array<Types::Filter>) —

    An array of filters. For each filter, you provide a condition and a match statement. The condition is either ‘IS` or `IS_NOT`, which specifies whether to include or exclude the predictors that match the statement from the list, respectively. The match statement consists of a key and a value.

    **Filter properties**

    • ‘Condition` - The condition to apply. Valid values are `IS` and `IS_NOT`. To include the predictors that match the statement, specify `IS`. To exclude matching predictors, specify `IS_NOT`.

    • ‘Key` - The name of the parameter to filter on. Valid values are `DatasetGroupArn` and `Status`.

    • ‘Value` - The value to match.

    For example, to list all predictors whose status is ACTIVE, you would specify:

    ‘“Filters”: [ { “Condition”: “IS”, “Key”: “Status”, “Value”: “ACTIVE” } ]`

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 4843

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

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

Lists the tags for an Amazon Forecast resource.

Examples:

Request syntax with placeholder values


resp = client.list_tags_for_resource({
  resource_arn: "Arn", # 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) that identifies the resource for which to list the tags.

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 4874

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

#list_what_if_analyses(params = {}) ⇒ Types::ListWhatIfAnalysesResponse

Returns a list of what-if analyses created using the CreateWhatIfAnalysis operation. For each what-if analysis, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the what-if analysis ARN with the DescribeWhatIfAnalysis operation.

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_what_if_analyses({
  next_token: "NextToken",
  max_results: 1,
  filters: [
    {
      key: "String", # required
      value: "Arn", # required
      condition: "IS", # required, accepts IS, IS_NOT
    },
  ],
})

Response structure


resp.what_if_analyses #=> Array
resp.what_if_analyses[0].what_if_analysis_arn #=> String
resp.what_if_analyses[0].what_if_analysis_name #=> String
resp.what_if_analyses[0].forecast_arn #=> String
resp.what_if_analyses[0].status #=> String
resp.what_if_analyses[0].message #=> String
resp.what_if_analyses[0].creation_time #=> Time
resp.what_if_analyses[0].last_modification_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a ‘NextToken`. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The number of items to return in the response.

  • :filters (Array<Types::Filter>) —

    An array of filters. For each filter, you provide a condition and a match statement. The condition is either ‘IS` or `IS_NOT`, which specifies whether to include or exclude the what-if analysis jobs that match the statement from the list, respectively. The match statement consists of a key and a value.

    **Filter properties**

    • ‘Condition` - The condition to apply. Valid values are `IS` and `IS_NOT`. To include the what-if analysis jobs that match the statement, specify `IS`. To exclude matching what-if analysis jobs, specify `IS_NOT`.

    • ‘Key` - The name of the parameter to filter on. Valid values are `WhatIfAnalysisArn` and `Status`.

    • ‘Value` - The value to match.

    For example, to list all jobs that export a forecast named electricityWhatIf, specify the following filter:

    ‘“Filters”: [ { “Condition”: “IS”, “Key”: “WhatIfAnalysisArn”, “Value”: “arn:aws:forecast:us-west-2:<acct-id>:forecast/electricityWhatIf” } ]`

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 4958

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

#list_what_if_forecast_exports(params = {}) ⇒ Types::ListWhatIfForecastExportsResponse

Returns a list of what-if forecast exports created using the CreateWhatIfForecastExport operation. For each what-if forecast export, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the what-if forecast export ARN with the DescribeWhatIfForecastExport operation.

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_what_if_forecast_exports({
  next_token: "NextToken",
  max_results: 1,
  filters: [
    {
      key: "String", # required
      value: "Arn", # required
      condition: "IS", # required, accepts IS, IS_NOT
    },
  ],
})

Response structure


resp.what_if_forecast_exports #=> Array
resp.what_if_forecast_exports[0].what_if_forecast_export_arn #=> String
resp.what_if_forecast_exports[0].what_if_forecast_arns #=> Array
resp.what_if_forecast_exports[0].what_if_forecast_arns[0] #=> String
resp.what_if_forecast_exports[0].what_if_forecast_export_name #=> String
resp.what_if_forecast_exports[0].destination.s3_config.path #=> String
resp.what_if_forecast_exports[0].destination.s3_config.role_arn #=> String
resp.what_if_forecast_exports[0].destination.s3_config.kms_key_arn #=> String
resp.what_if_forecast_exports[0].status #=> String
resp.what_if_forecast_exports[0].message #=> String
resp.what_if_forecast_exports[0].creation_time #=> Time
resp.what_if_forecast_exports[0].last_modification_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a ‘NextToken`. To retrieve the next set of results, use the token in the next
 request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The number of items to return in the response.

  • :filters (Array<Types::Filter>) —

    An array of filters. For each filter, you provide a condition and a match statement. The condition is either ‘IS` or `IS_NOT`, which specifies whether to include or exclude the what-if forecast export jobs that match the statement from the list, respectively. The match statement consists of a key and a value.

    **Filter properties**

    • ‘Condition` - The condition to apply. Valid values are `IS` and `IS_NOT`. To include the forecast export jobs that match the statement, specify `IS`. To exclude matching forecast export jobs, specify `IS_NOT`.

    • ‘Key` - The name of the parameter to filter on. Valid values are `WhatIfForecastExportArn` and `Status`.

    • ‘Value` - The value to match.

    For example, to list all jobs that export a forecast named electricityWIFExport, specify the following filter:

    ‘“Filters”: [ { “Condition”: “IS”, “Key”: “WhatIfForecastExportArn”, “Value”: “arn:aws:forecast:us-west-2:<acct-id>:forecast/electricityWIFExport” } ]`

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 5046

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

#list_what_if_forecasts(params = {}) ⇒ Types::ListWhatIfForecastsResponse

Returns a list of what-if forecasts created using the CreateWhatIfForecast operation. For each what-if forecast, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the what-if forecast ARN with the DescribeWhatIfForecast operation.

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_what_if_forecasts({
  next_token: "NextToken",
  max_results: 1,
  filters: [
    {
      key: "String", # required
      value: "Arn", # required
      condition: "IS", # required, accepts IS, IS_NOT
    },
  ],
})

Response structure


resp.what_if_forecasts #=> Array
resp.what_if_forecasts[0].what_if_forecast_arn #=> String
resp.what_if_forecasts[0].what_if_forecast_name #=> String
resp.what_if_forecasts[0].what_if_analysis_arn #=> String
resp.what_if_forecasts[0].status #=> String
resp.what_if_forecasts[0].message #=> String
resp.what_if_forecasts[0].creation_time #=> Time
resp.what_if_forecasts[0].last_modification_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    If the result of the previous request was truncated, the response includes a ‘NextToken`. To retrieve the next set of results, use the token in the next
 request. Tokens expire after 24 hours.

  • :max_results (Integer) —

    The number of items to return in the response.

  • :filters (Array<Types::Filter>) —

    An array of filters. For each filter, you provide a condition and a match statement. The condition is either ‘IS` or `IS_NOT`, which specifies whether to include or exclude the what-if forecast export jobs that match the statement from the list, respectively. The match statement consists of a key and a value.

    **Filter properties**

    • ‘Condition` - The condition to apply. Valid values are `IS` and `IS_NOT`. To include the forecast export jobs that match the statement, specify `IS`. To exclude matching forecast export jobs, specify `IS_NOT`.

    • ‘Key` - The name of the parameter to filter on. Valid values are `WhatIfForecastArn` and `Status`.

    • ‘Value` - The value to match.

    For example, to list all jobs that export a forecast named electricityWhatIfForecast, specify the following filter:

    ‘“Filters”: [ { “Condition”: “IS”, “Key”: “WhatIfForecastArn”, “Value”: “arn:aws:forecast:us-west-2:<acct-id>:forecast/electricityWhatIfForecast” } ]`

Returns:

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 5130

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

#resume_resource(params = {}) ⇒ Struct

Resumes a stopped monitor resource.

Examples:

Request syntax with placeholder values


resp = client.resume_resource({
  resource_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :resource_arn (required, String) —

    The Amazon Resource Name (ARN) of the monitor resource to resume.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 5152

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

#stop_resource(params = {}) ⇒ Struct

Stops a resource.

The resource undergoes the following states: ‘CREATE_STOPPING` and `CREATE_STOPPED`. You cannot resume a resource once it has been stopped.

This operation can be applied to the following resources (and their corresponding child resources):

  • Dataset Import Job

  • Predictor Job

  • Forecast Job

  • Forecast Export Job

  • Predictor Backtest Export Job

  • Explainability Job

  • Explainability Export Job

Examples:

Request syntax with placeholder values


resp = client.stop_resource({
  resource_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :resource_arn (required, String) —

    The Amazon Resource Name (ARN) that identifies the resource to stop. The supported ARNs are ‘DatasetImportJobArn`, `PredictorArn`, `PredictorBacktestExportJobArn`, `ForecastArn`, `ForecastExportJobArn`, `ExplainabilityArn`, and `ExplainabilityExportArn`.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 5199

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

#tag_resource(params = {}) ⇒ Struct

Associates the specified tags to a resource with the specified ‘resourceArn`. If existing tags on a resource are not specified in the request parameters, they are not changed. When a resource is deleted, the tags associated with that resource are also deleted.

Examples:

Request syntax with placeholder values


resp = client.tag_resource({
  resource_arn: "Arn", # 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) that identifies the resource for which to list the tags.

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

    The tags to add to the resource. A tag is an array of key-value pairs.

    The following basic restrictions apply to tags:

    • Maximum number of tags per resource - 50.

    • For each resource, each tag key must be unique, and each tag key can have only one value.

    • Maximum key length - 128 Unicode characters in UTF-8.

    • Maximum value length - 256 Unicode characters in UTF-8.

    • If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

    • Tag keys and values are case sensitive.

    • Do not use ‘aws:`, `AWS:`, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has `aws` as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of `aws` do not count against your tags per resource limit.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 5261

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

#untag_resource(params = {}) ⇒ Struct

Deletes the specified tags from a resource.

Examples:

Request syntax with placeholder values


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

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :resource_arn (required, String) —

    The Amazon Resource Name (ARN) that identifies the resource for which to list the tags.

  • :tag_keys (required, Array<String>) —

    The keys of the tags to be removed.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 5288

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

#update_dataset_group(params = {}) ⇒ Struct

Replaces the datasets in a dataset group with the specified datasets.

<note markdown=“1”> The ‘Status` of the dataset group must be `ACTIVE` before you can use the dataset group to create a predictor. Use the

DescribeDatasetGroup][1

operation to get the status.

</note>

[1]: docs.aws.amazon.com/forecast/latest/dg/API_DescribeDatasetGroup.html

Examples:

Request syntax with placeholder values


resp = client.update_dataset_group({
  dataset_group_arn: "Arn", # required
  dataset_arns: ["Arn"], # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_group_arn (required, String) —

    The ARN of the dataset group.

  • :dataset_arns (required, Array<String>) —

    An array of the Amazon Resource Names (ARNs) of the datasets to add to the dataset group.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-forecastservice/client.rb', line 5325

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

#waiter_names ⇒ Object

This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.

Deprecated. 


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# File 'lib/aws-sdk-forecastservice/client.rb', line 5354

def waiter_names
  []
end