Class: Aws::Personalize::Client

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

Overview

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

client = Aws::Personalize::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`, `:session_token`, and `:account_id` options.

    • ENV, ENV, ENV, and 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::InstanceProfileCredentials` 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)
  • :account_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_checksum_calculation (String) — default: "when_supported" —

    Determines when a checksum will be calculated for request payloads. Values are:

    • ‘when_supported` - (default) When set, a checksum will be calculated for all request payloads of operations modeled with the `httpChecksum` trait where `requestChecksumRequired` is `true` and/or a `requestAlgorithmMember` is modeled.

    • ‘when_required` - When set, a checksum will only be calculated for request payloads of operations modeled with the `httpChecksum` trait where `requestChecksumRequired` is `true` or where a `requestAlgorithmMember` is modeled and supplied.

  • :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.

  • :response_checksum_validation (String) — default: "when_supported" —

    Determines when checksum validation will be performed on response payloads. Values are:

    • ‘when_supported` - (default) When set, checksum validation is performed on all response payloads of operations modeled with the `httpChecksum` trait where `responseAlgorithms` is modeled, except when no modeled checksum algorithms are supported.

    • ‘when_required` - When set, checksum validation is not performed on response payloads of operations unless the checksum algorithm is supported and the `requestValidationModeMember` member is set to `ENABLED`.

  • :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::Personalize::EndpointProvider) —

    The endpoint provider used to resolve endpoints. Any object that responds to ‘#resolve_endpoint(parameters)` where `parameters` is a Struct similar to `Aws::Personalize::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_cert (OpenSSL::X509::Certificate) —

    Sets a client certificate when creating http connections.

  • :ssl_key (OpenSSL::PKey) —

    Sets a client key when creating http connections.

  • :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-personalize/client.rb', line 474

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-personalize/client.rb', line 4905

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-personalize/client.rb', line 4908

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-personalize/client.rb', line 4878

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::Personalize')
  )
  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-personalize'
  context[:gem_version] = '1.77.0'
  Seahorse::Client::Request.new(handlers, context)
end

#create_batch_inference_job(params = {}) ⇒ Types::CreateBatchInferenceJobResponse

Generates batch recommendations based on a list of items or users stored in Amazon S3 and exports the recommendations to an Amazon S3 bucket.

To generate batch recommendations, specify the ARN of a solution version and an Amazon S3 URI for the input and output data. For user personalization, popular items, and personalized ranking solutions, the batch inference job generates a list of recommended items for each user ID in the input file. For related items solutions, the job generates a list of recommended items for each item ID in the input file.

For more information, see [Creating a batch inference job ][1].

If you use the Similar-Items recipe, Amazon Personalize can add descriptive themes to batch recommendations. To generate themes, set the job’s mode to ‘THEME_GENERATION` and specify the name of the field that contains item names in the input data.

For more information about generating themes, see [Batch recommendations with themes from Content Generator ][2].

You can’t get batch recommendations with the Trending-Now or Next-Best-Action recipes.

[1]: docs.aws.amazon.com/personalize/latest/dg/getting-batch-recommendations.html [2]: docs.aws.amazon.com/personalize/latest/dg/themed-batch-recommendations.html

Examples:

Request syntax with placeholder values


resp = client.create_batch_inference_job({
  job_name: "Name", # required
  solution_version_arn: "Arn", # required
  filter_arn: "Arn",
  num_results: 1,
  job_input: { # required
    s3_data_source: { # required
      path: "S3Location", # required
      kms_key_arn: "KmsKeyArn",
    },
  },
  job_output: { # required
    s3_data_destination: { # required
      path: "S3Location", # required
      kms_key_arn: "KmsKeyArn",
    },
  },
  role_arn: "RoleArn", # required
  batch_inference_job_config: {
    item_exploration_config: {
      "ParameterName" => "ParameterValue",
    },
  },
  tags: [
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
  batch_inference_job_mode: "BATCH_INFERENCE", # accepts BATCH_INFERENCE, THEME_GENERATION
  theme_generation_config: {
    fields_for_theme_generation: { # required
      item_name: "ColumnName", # required
    },
  },
})

Response structure


resp.batch_inference_job_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_name (required, String) —

    The name of the batch inference job to create.

  • :solution_version_arn (required, String) —

    The Amazon Resource Name (ARN) of the solution version that will be used to generate the batch inference recommendations.

  • :filter_arn (String) —

    The ARN of the filter to apply to the batch inference job. For more information on using filters, see [Filtering batch recommendations].

    [1]: docs.aws.amazon.com/personalize/latest/dg/filter-batch.html

  • :num_results (Integer) —

    The number of recommendations to retrieve.

  • :job_input (required, Types::BatchInferenceJobInput) —

    The Amazon S3 path that leads to the input file to base your recommendations on. The input material must be in JSON format.

  • :job_output (required, Types::BatchInferenceJobOutput) —

    The path to the Amazon S3 bucket where the job’s output will be stored.

  • :role_arn (required, String) —

    The ARN of the Amazon Identity and Access Management role that has permissions to read and write to your input and output Amazon S3 buckets respectively.

  • :batch_inference_job_config (Types::BatchInferenceJobConfig) —

    The configuration details of a batch inference job.

  • :tags (Array<Types::Tag>) —

    A list of [tags] to apply to the batch inference job.

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

  • :batch_inference_job_mode (String) —

    The mode of the batch inference job. To generate descriptive themes for groups of similar items, set the job mode to ‘THEME_GENERATION`. If you don’t want to generate themes, use the default ‘BATCH_INFERENCE`.

    When you get batch recommendations with themes, you will incur additional costs. For more information, see [Amazon Personalize pricing].

    [1]: aws.amazon.com/personalize/pricing/

  • :theme_generation_config (Types::ThemeGenerationConfig) —

    For theme generation jobs, specify the name of the column in your Items dataset that contains each item’s name.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 621

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

#create_batch_segment_job(params = {}) ⇒ Types::CreateBatchSegmentJobResponse

Creates a batch segment job. The operation can handle up to 50 million records and the input file must be in JSON format. For more information, see [Getting batch recommendations and user segments].

[1]: docs.aws.amazon.com/personalize/latest/dg/recommendations-batch.html

Examples:

Request syntax with placeholder values


resp = client.create_batch_segment_job({
  job_name: "Name", # required
  solution_version_arn: "Arn", # required
  filter_arn: "Arn",
  num_results: 1,
  job_input: { # required
    s3_data_source: { # required
      path: "S3Location", # required
      kms_key_arn: "KmsKeyArn",
    },
  },
  job_output: { # required
    s3_data_destination: { # required
      path: "S3Location", # required
      kms_key_arn: "KmsKeyArn",
    },
  },
  role_arn: "RoleArn", # required
  tags: [
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
})

Response structure


resp.batch_segment_job_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_name (required, String) —

    The name of the batch segment job to create.

  • :solution_version_arn (required, String) —

    The Amazon Resource Name (ARN) of the solution version you want the batch segment job to use to generate batch segments.

  • :filter_arn (String) —

    The ARN of the filter to apply to the batch segment job. For more information on using filters, see [Filtering batch recommendations].

    [1]: docs.aws.amazon.com/personalize/latest/dg/filter-batch.html

  • :num_results (Integer) —

    The number of predicted users generated by the batch segment job for each line of input data. The maximum number of users per segment is 5 million.

  • :job_input (required, Types::BatchSegmentJobInput) —

    The Amazon S3 path for the input data used to generate the batch segment job.

  • :job_output (required, Types::BatchSegmentJobOutput) —

    The Amazon S3 path for the bucket where the job’s output will be stored.

  • :role_arn (required, String) —

    The ARN of the Amazon Identity and Access Management role that has permissions to read and write to your input and output Amazon S3 buckets respectively.

  • :tags (Array<Types::Tag>) —

    A list of [tags] to apply to the batch segment job.

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 715

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

#create_campaign(params = {}) ⇒ Types::CreateCampaignResponse

You incur campaign costs while it is active. To avoid unnecessary costs, make sure to delete the campaign when you are finished. For information about campaign costs, see [Amazon Personalize pricing].

Creates a campaign that deploys a solution version. When a client calls the [GetRecommendations] and [GetPersonalizedRanking] APIs, a campaign is specified in the request.

**Minimum Provisioned TPS and Auto-Scaling**

A high ‘minProvisionedTPS` will increase your cost. We recommend starting with 1 for `minProvisionedTPS` (the default). Track your usage using Amazon CloudWatch metrics, and increase the `minProvisionedTPS` as necessary.

When you create an Amazon Personalize campaign, you can specify the minimum provisioned transactions per second (‘minProvisionedTPS`) for the campaign. This is the baseline transaction throughput for the campaign provisioned by Amazon Personalize. It sets the minimum billing charge for the campaign while it is active. A transaction is a single `GetRecommendations` or `GetPersonalizedRanking` request. The default `minProvisionedTPS` is 1.

If your TPS increases beyond the ‘minProvisionedTPS`, Amazon Personalize auto-scales the provisioned capacity up and down, but never below `minProvisionedTPS`. There’s a short time delay while the capacity is increased that might cause loss of transactions. When your traffic reduces, capacity returns to the ‘minProvisionedTPS`.

You are charged for the the minimum provisioned TPS or, if your requests exceed the ‘minProvisionedTPS`, the actual TPS. The actual TPS is the total number of recommendation requests you make. We recommend starting with a low `minProvisionedTPS`, track your usage using Amazon CloudWatch metrics, and then increase the `minProvisionedTPS` as necessary.

For more information about campaign costs, see [Amazon Personalize pricing].

Status

A campaign can be in one of the following states:

  • CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED

  • DELETE PENDING &gt; DELETE IN_PROGRESS

To get the campaign status, call [DescribeCampaign].

<note markdown=“1”> Wait until the ‘status` of the campaign is `ACTIVE` before asking the campaign for recommendations.

</note>

**Related APIs**

  • ListCampaigns][5
  • DescribeCampaign][4
  • UpdateCampaign][6
  • DeleteCampaign][7

[1]: aws.amazon.com/personalize/pricing/ [2]: docs.aws.amazon.com/personalize/latest/dg/API_RS_GetRecommendations.html [3]: docs.aws.amazon.com/personalize/latest/dg/API_RS_GetPersonalizedRanking.html [4]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeCampaign.html [5]: docs.aws.amazon.com/personalize/latest/dg/API_ListCampaigns.html [6]: docs.aws.amazon.com/personalize/latest/dg/API_UpdateCampaign.html [7]: docs.aws.amazon.com/personalize/latest/dg/API_DeleteCampaign.html

Examples:

Request syntax with placeholder values


resp = client.create_campaign({
  name: "Name", # required
  solution_version_arn: "Arn", # required
  min_provisioned_tps: 1,
  campaign_config: {
    item_exploration_config: {
      "ParameterName" => "ParameterValue",
    },
    enable_metadata_with_recommendations: false,
    sync_with_latest_solution_version: false,
  },
  tags: [
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
})

Response structure


resp.campaign_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :name (required, String) —

    A name for the new campaign. The campaign name must be unique within your account.

  • :solution_version_arn (required, String) —

    The Amazon Resource Name (ARN) of the trained model to deploy with the campaign. To specify the latest solution version of your solution, specify the ARN of your solution in ‘SolutionArn/$LATEST` format. You must use this format if you set `syncWithLatestSolutionVersion` to `True` in the [CampaignConfig].

    To deploy a model that isn’t the latest solution version of your solution, specify the ARN of the solution version.

    For more information about automatic campaign updates, see [Enabling automatic campaign updates].

    [1]: docs.aws.amazon.com/personalize/latest/dg/API_CampaignConfig.html [2]: docs.aws.amazon.com/personalize/latest/dg/campaigns.html#create-campaign-automatic-latest-sv-update

  • :min_provisioned_tps (Integer) —

    Specifies the requested minimum provisioned transactions (recommendations) per second that Amazon Personalize will support. A high ‘minProvisionedTPS` will increase your bill. We recommend starting with 1 for `minProvisionedTPS` (the default). Track your usage using Amazon CloudWatch metrics, and increase the `minProvisionedTPS` as necessary.

  • :campaign_config (Types::CampaignConfig) —

    The configuration details of a campaign.

  • :tags (Array<Types::Tag>) —

    A list of [tags] to apply to the campaign.

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 868

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

#create_data_deletion_job(params = {}) ⇒ Types::CreateDataDeletionJobResponse

Creates a batch job that deletes all references to specific users from an Amazon Personalize dataset group in batches. You specify the users to delete in a CSV file of userIds in an Amazon S3 bucket. After a job completes, Amazon Personalize no longer trains on the users’ data and no longer considers the users when generating user segments. For more information about creating a data deletion job, see [Deleting users].

  • Your input file must be a CSV file with a single USER_ID column that lists the users IDs. For more information about preparing the CSV file, see [Preparing your data deletion file and uploading it to Amazon S3].

  • To give Amazon Personalize permission to access your input CSV file of userIds, you must specify an IAM service role that has permission to read from the data source. This role needs ‘GetObject` and `ListBucket` permissions for the bucket and its content. These permissions are the same as importing data. For information on granting access to your Amazon S3 bucket, see [Giving Amazon Personalize Access to Amazon S3 Resources].

After you create a job, it can take up to a day to delete all references to the users from datasets and models. Until the job completes, Amazon Personalize continues to use the data when training. And if you use a User Segmentation recipe, the users might appear in user segments.

Status

A data deletion job can have one of the following statuses:

  • PENDING &gt; IN_PROGRESS &gt; COMPLETED -or- FAILED

^

To get the status of the data deletion job, call

DescribeDataDeletionJob][4

API operation and specify the Amazon

Resource Name (ARN) of the job. If the status is FAILED, the response includes a ‘failureReason` key, which describes why the job failed.

**Related APIs**

  • ListDataDeletionJobs][5
  • DescribeDataDeletionJob][4

[1]: docs.aws.amazon.com/personalize/latest/dg/delete-records.html [2]: docs.aws.amazon.com/personalize/latest/dg/prepare-deletion-input-file.html [3]: docs.aws.amazon.com/personalize/latest/dg/granting-personalize-s3-access.html [4]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeDataDeletionJob.html [5]: docs.aws.amazon.com/personalize/latest/dg/API_ListDataDeletionJobs.html

Examples:

Request syntax with placeholder values


resp = client.create_data_deletion_job({
  job_name: "Name", # required
  dataset_group_arn: "Arn", # required
  data_source: { # required
    data_location: "S3Location",
  },
  role_arn: "RoleArn", # required
  tags: [
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
})

Response structure


resp.data_deletion_job_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_name (required, String) —

    The name for the data deletion job.

  • :dataset_group_arn (required, String) —

    The Amazon Resource Name (ARN) of the dataset group that has the datasets you want to delete records from.

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

    The Amazon S3 bucket that contains the list of userIds of the users to delete.

  • :role_arn (required, String) —

    The Amazon Resource Name (ARN) of the IAM role that has permissions to read from the Amazon S3 data source.

  • :tags (Array<Types::Tag>) —

    A list of [tags] to apply to the data deletion job.

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 978

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

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

Creates an empty dataset and adds it to the specified dataset group. Use [CreateDatasetImportJob] to import your training data to a dataset.

There are 5 types of datasets:

  • Item interactions

  • Items

  • Users

  • Action interactions

  • Actions

Each dataset type has an associated schema with required field types. Only the ‘Item interactions` dataset is required in order to train a model (also referred to as creating a solution).

A dataset can be in one of the following states:

  • CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED

  • DELETE PENDING &gt; DELETE IN_PROGRESS

To get the status of the dataset, call [DescribeDataset].

**Related APIs**

  • CreateDatasetGroup][3
  • ListDatasets][4
  • DescribeDataset][2
  • DeleteDataset][5

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetImportJob.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeDataset.html [3]: docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetGroup.html [4]: docs.aws.amazon.com/personalize/latest/dg/API_ListDatasets.html [5]: docs.aws.amazon.com/personalize/latest/dg/API_DeleteDataset.html

Examples:

Request syntax with placeholder values


resp = client.create_dataset({
  name: "Name", # required
  schema_arn: "Arn", # required
  dataset_group_arn: "Arn", # required
  dataset_type: "DatasetType", # required
  tags: [
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
})

Response structure


resp.dataset_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :name (required, String) —

    The name for the dataset.

  • :schema_arn (required, String) —

    The ARN of the schema to associate with the dataset. The schema defines the dataset fields.

  • :dataset_group_arn (required, String) —

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

  • :dataset_type (required, String) —

    The type of dataset.

    One of the following (case insensitive) values:

    • Interactions

    • Items

    • Users

    • Actions

    • Action_Interactions

  • :tags (Array<Types::Tag>) —

    A list of [tags] to apply to the dataset.

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 1090

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

#create_dataset_export_job(params = {}) ⇒ Types::CreateDatasetExportJobResponse

Creates a job that exports data from your dataset to an Amazon S3 bucket. To allow Amazon Personalize to export the training data, you must specify an service-linked IAM role that gives Amazon Personalize ‘PutObject` permissions for your Amazon S3 bucket. For information, see [Exporting a dataset] in the Amazon Personalize developer guide.

Status

A dataset export job can be in one of the following states:

  • CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED

^

To get the status of the export job, call [DescribeDatasetExportJob], and specify the Amazon Resource Name (ARN) of the dataset export job. The dataset export is complete when the status shows as ACTIVE. If the status shows as CREATE FAILED, the response includes a ‘failureReason` key, which describes why the job failed.

[1]: docs.aws.amazon.com/personalize/latest/dg/export-data.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeDatasetExportJob.html

Examples:

Request syntax with placeholder values


resp = client.create_dataset_export_job({
  job_name: "Name", # required
  dataset_arn: "Arn", # required
  ingestion_mode: "BULK", # accepts BULK, PUT, ALL
  role_arn: "RoleArn", # required
  job_output: { # required
    s3_data_destination: { # required
      path: "S3Location", # required
      kms_key_arn: "KmsKeyArn",
    },
  },
  tags: [
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
})

Response structure


resp.dataset_export_job_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_name (required, String) —

    The name for the dataset export job.

  • :dataset_arn (required, String) —

    The Amazon Resource Name (ARN) of the dataset that contains the data to export.

  • :ingestion_mode (String) —

    The data to export, based on how you imported the data. You can choose to export only ‘BULK` data that you imported using a dataset import job, only `PUT` data that you imported incrementally (using the console, PutEvents, PutUsers and PutItems operations), or `ALL` for both types. The default value is `PUT`.

  • :role_arn (required, String) —

    The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.

  • :job_output (required, Types::DatasetExportJobOutput) —

    The path to the Amazon S3 bucket where the job’s output is stored.

  • :tags (Array<Types::Tag>) —

    A list of [tags] to apply to the dataset export job.

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 1184

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

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

Creates an empty dataset group. A dataset group is a container for Amazon Personalize resources. A dataset group can contain at most three datasets, one for each type of dataset:

  • Item interactions

  • Items

  • Users

  • Actions

  • Action interactions

A dataset group can be a Domain dataset group, where you specify a domain and use pre-configured resources like recommenders, or a Custom dataset group, where you use custom resources, such as a solution with a solution version, that you deploy with a campaign. If you start with a Domain dataset group, you can still add custom resources such as solutions and solution versions trained with recipes for custom use cases and deployed with campaigns.

A dataset group can be in one of the following states:

  • CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED

  • DELETE PENDING

To get the status of the dataset group, call [DescribeDatasetGroup]. If the status shows as CREATE FAILED, the response includes a ‘failureReason` key, which describes why the creation failed.

<note markdown=“1”> You must wait until the ‘status` of the dataset group is `ACTIVE` before adding a dataset to the group.

</note>

You can specify an Key Management Service (KMS) key to encrypt the datasets in the group. If you specify a KMS key, you must also include an Identity and Access Management (IAM) role that has permission to access the key.

**APIs that require a dataset group ARN in the request**

  • CreateDataset][2
  • CreateEventTracker][3
  • CreateSolution][4

**Related APIs**

  • ListDatasetGroups][5
  • DescribeDatasetGroup][1
  • DeleteDatasetGroup][6

[1]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeDatasetGroup.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_CreateDataset.html [3]: docs.aws.amazon.com/personalize/latest/dg/API_CreateEventTracker.html [4]: docs.aws.amazon.com/personalize/latest/dg/API_CreateSolution.html [5]: docs.aws.amazon.com/personalize/latest/dg/API_ListDatasetGroups.html [6]: docs.aws.amazon.com/personalize/latest/dg/API_DeleteDatasetGroup.html

Examples:

Request syntax with placeholder values


resp = client.create_dataset_group({
  name: "Name", # required
  role_arn: "RoleArn",
  kms_key_arn: "KmsKeyArn",
  domain: "ECOMMERCE", # accepts ECOMMERCE, VIDEO_ON_DEMAND
  tags: [
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
})

Response structure


resp.dataset_group_arn #=> String
resp.domain #=> String, one of "ECOMMERCE", "VIDEO_ON_DEMAND"

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :name (required, String) —

    The name for the new dataset group.

  • :role_arn (String) —

    The ARN of the Identity and Access Management (IAM) role that has permissions to access the Key Management Service (KMS) key. Supplying an IAM role is only valid when also specifying a KMS key.

  • :kms_key_arn (String) —

    The Amazon Resource Name (ARN) of a Key Management Service (KMS) key used to encrypt the datasets.

  • :domain (String) —

    The domain of the dataset group. Specify a domain to create a Domain dataset group. The domain you specify determines the default schemas for datasets and the use cases available for recommenders. If you don’t specify a domain, you create a Custom dataset group with solution versions that you deploy with a campaign.

  • :tags (Array<Types::Tag>) —

    A list of [tags] to apply to the dataset group.

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 1313

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

Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset. To allow Amazon Personalize to import the training data, you must specify an IAM service role that has permission to read from the data source, as Amazon Personalize makes a copy of your data and processes it internally. For information on granting access to your Amazon S3 bucket, see [Giving Amazon Personalize Access to Amazon S3 Resources].

If you already created a recommender or deployed a custom solution version with a campaign, how new bulk records influence recommendations depends on the domain use case or recipe that you use. For more information, see [How new data influences real-time recommendations].

By default, a dataset import job replaces any existing data in the dataset that you imported in bulk. To add new records without replacing existing data, specify INCREMENTAL for the import mode in the CreateDatasetImportJob operation.

Status

A dataset import job can be in one of the following states:

  • CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED

^

To get the status of the import job, call [DescribeDatasetImportJob], providing the Amazon Resource Name (ARN) of the dataset import job. The dataset import is complete when the status shows as ACTIVE. If the status shows as CREATE FAILED, the response includes a ‘failureReason` key, which describes why the job failed.

<note markdown=“1”> Importing takes time. You must wait until the status shows as ACTIVE before training a model using the dataset.

</note>

**Related APIs**

  • ListDatasetImportJobs][4
  • DescribeDatasetImportJob][3

[1]: docs.aws.amazon.com/personalize/latest/dg/granting-personalize-s3-access.html [2]: docs.aws.amazon.com/personalize/latest/dg/how-new-data-influences-recommendations.html [3]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeDatasetImportJob.html [4]: docs.aws.amazon.com/personalize/latest/dg/API_ListDatasetImportJobs.html

Examples:

Request syntax with placeholder values


resp = client.create_dataset_import_job({
  job_name: "Name", # required
  dataset_arn: "Arn", # required
  data_source: { # required
    data_location: "S3Location",
  },
  role_arn: "RoleArn", # required
  tags: [
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
  import_mode: "FULL", # accepts FULL, INCREMENTAL
  publish_attribution_metrics_to_s3: false,
})

Response structure


resp.dataset_import_job_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_name (required, String) —

    The name for the dataset import job.

  • :dataset_arn (required, String) —

    The ARN of the dataset that receives the imported data.

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

    The Amazon S3 bucket that contains the training data to import.

  • :role_arn (required, String) —

    The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

  • :tags (Array<Types::Tag>) —

    A list of [tags] to apply to the dataset import job.

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

  • :import_mode (String) —

    Specify how to add the new records to an existing dataset. The default import mode is ‘FULL`. If you haven’t imported bulk records into the dataset previously, you can only specify ‘FULL`.

    • Specify ‘FULL` to overwrite all existing bulk data in your dataset. Data you imported individually is not replaced.

    • Specify ‘INCREMENTAL` to append the new records to the existing data in your dataset. Amazon Personalize replaces any record with the same ID with the new one.

  • :publish_attribution_metrics_to_s3 (Boolean) —

    If you created a metric attribution, specify whether to publish metrics for this import job to Amazon S3

Returns:

See Also:



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

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

#create_event_tracker(params = {}) ⇒ Types::CreateEventTrackerResponse

Creates an event tracker that you use when adding event data to a specified dataset group using the [PutEvents] API.

<note markdown=“1”> Only one event tracker can be associated with a dataset group. You will get an error if you call ‘CreateEventTracker` using the same dataset group as an existing event tracker.

</note>

When you create an event tracker, the response includes a tracking ID, which you pass as a parameter when you use the [PutEvents] operation. Amazon Personalize then appends the event data to the Item interactions dataset of the dataset group you specify in your event tracker.

The event tracker can be in one of the following states:

  • CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED

  • DELETE PENDING &gt; DELETE IN_PROGRESS

To get the status of the event tracker, call [DescribeEventTracker].

<note markdown=“1”> The event tracker must be in the ACTIVE state before using the tracking ID.

</note>

**Related APIs**

  • ListEventTrackers][3
  • DescribeEventTracker][2
  • DeleteEventTracker][4

[1]: docs.aws.amazon.com/personalize/latest/dg/API_UBS_PutEvents.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeEventTracker.html [3]: docs.aws.amazon.com/personalize/latest/dg/API_ListEventTrackers.html [4]: docs.aws.amazon.com/personalize/latest/dg/API_DeleteEventTracker.html

Examples:

Request syntax with placeholder values


resp = client.create_event_tracker({
  name: "Name", # required
  dataset_group_arn: "Arn", # required
  tags: [
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
})

Response structure


resp.event_tracker_arn #=> String
resp.tracking_id #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 1530

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

#create_filter(params = {}) ⇒ Types::CreateFilterResponse

Creates a recommendation filter. For more information, see [Filtering recommendations and user segments].

[1]: docs.aws.amazon.com/personalize/latest/dg/filter.html

Examples:

Request syntax with placeholder values


resp = client.create_filter({
  name: "Name", # required
  dataset_group_arn: "Arn", # required
  filter_expression: "FilterExpression", # required
  tags: [
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
})

Response structure


resp.filter_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 1591

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

#create_metric_attribution(params = {}) ⇒ Types::CreateMetricAttributionResponse

Creates a metric attribution. A metric attribution creates reports on the data that you import into Amazon Personalize. Depending on how you imported the data, you can view reports in Amazon CloudWatch or Amazon S3. For more information, see [Measuring impact of recommendations].

[1]: docs.aws.amazon.com/personalize/latest/dg/measuring-recommendation-impact.html

Examples:

Request syntax with placeholder values


resp = client.create_metric_attribution({
  name: "Name", # required
  dataset_group_arn: "Arn", # required
  metrics: [ # required
    {
      event_type: "EventType", # required
      metric_name: "MetricName", # required
      expression: "MetricExpression", # required
    },
  ],
  metrics_output_config: { # required
    s3_data_destination: {
      path: "S3Location", # required
      kms_key_arn: "KmsKeyArn",
    },
    role_arn: "RoleArn", # required
  },
})

Response structure


resp.metric_attribution_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :name (required, String) —

    A name for the metric attribution.

  • :dataset_group_arn (required, String) —

    The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.

  • :metrics (required, Array<Types::MetricAttribute>) —

    A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to track and a function. Available functions are ‘SUM()` or `SAMPLECOUNT()`. For SUM() functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example SUM(Items.PRICE).

  • :metrics_output_config (required, Types::MetricAttributionOutput) —

    The output configuration details for the metric attribution.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 1656

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

#create_recommender(params = {}) ⇒ Types::CreateRecommenderResponse

Creates a recommender with the recipe (a Domain dataset group use case) you specify. You create recommenders for a Domain dataset group and specify the recommender’s Amazon Resource Name (ARN) when you make a [GetRecommendations] request.

**Minimum recommendation requests per second**

A high ‘minRecommendationRequestsPerSecond` will increase your bill. We recommend starting with 1 for `minRecommendationRequestsPerSecond` (the default). Track your usage using Amazon CloudWatch metrics, and increase the `minRecommendationRequestsPerSecond` as necessary.

When you create a recommender, you can configure the recommender’s minimum recommendation requests per second. The minimum recommendation requests per second (‘minRecommendationRequestsPerSecond`) specifies the baseline recommendation request throughput provisioned by Amazon Personalize. The default minRecommendationRequestsPerSecond is `1`. A recommendation request is a single `GetRecommendations` operation. Request throughput is measured in requests per second and Amazon Personalize uses your requests per second to derive your requests per hour and the price of your recommender usage.

If your requests per second increases beyond ‘minRecommendationRequestsPerSecond`, Amazon Personalize auto-scales the provisioned capacity up and down, but never below `minRecommendationRequestsPerSecond`. There’s a short time delay while the capacity is increased that might cause loss of requests.

Your bill is the greater of either the minimum requests per hour (based on minRecommendationRequestsPerSecond) or the actual number of requests. The actual request throughput used is calculated as the average requests/second within a one-hour window. We recommend starting with the default ‘minRecommendationRequestsPerSecond`, track your usage using Amazon CloudWatch metrics, and then increase the `minRecommendationRequestsPerSecond` as necessary.

Status

A recommender can be in one of the following states:

  • CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED

  • STOP PENDING &gt; STOP IN_PROGRESS &gt; INACTIVE &gt; START PENDING &gt; START IN_PROGRESS &gt; ACTIVE

  • DELETE PENDING &gt; DELETE IN_PROGRESS

To get the recommender status, call [DescribeRecommender].

<note markdown=“1”> Wait until the ‘status` of the recommender is `ACTIVE` before asking the recommender for recommendations.

</note>

**Related APIs**

  • ListRecommenders][3
  • DescribeRecommender][2
  • UpdateRecommender][4
  • DeleteRecommender][5

[1]: docs.aws.amazon.com/personalize/latest/dg/API_RS_GetRecommendations.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeRecommender.html [3]: docs.aws.amazon.com/personalize/latest/dg/API_ListRecommenders.html [4]: docs.aws.amazon.com/personalize/latest/dg/API_UpdateRecommender.html [5]: docs.aws.amazon.com/personalize/latest/dg/API_DeleteRecommender.html

Examples:

Request syntax with placeholder values


resp = client.create_recommender({
  name: "Name", # required
  dataset_group_arn: "Arn", # required
  recipe_arn: "Arn", # required
  recommender_config: {
    item_exploration_config: {
      "ParameterName" => "ParameterValue",
    },
    min_recommendation_requests_per_second: 1,
    training_data_config: {
      excluded_dataset_columns: {
        "DatasetType" => ["ColumnName"],
      },
    },
    enable_metadata_with_recommendations: false,
  },
  tags: [
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
})

Response structure


resp.recommender_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 1800

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

#create_schema(params = {}) ⇒ Types::CreateSchemaResponse

Creates an Amazon Personalize schema from the specified schema string. The schema you create must be in Avro JSON format.

Amazon Personalize recognizes three schema variants. Each schema is associated with a dataset type and has a set of required field and keywords. If you are creating a schema for a dataset in a Domain dataset group, you provide the domain of the Domain dataset group. You specify a schema when you call [CreateDataset].

**Related APIs**

  • ListSchemas][2
  • DescribeSchema][3
  • DeleteSchema][4

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateDataset.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_ListSchemas.html [3]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeSchema.html [4]: docs.aws.amazon.com/personalize/latest/dg/API_DeleteSchema.html

Examples:

Request syntax with placeholder values


resp = client.create_schema({
  name: "Name", # required
  schema: "AvroSchema", # required
  domain: "ECOMMERCE", # accepts ECOMMERCE, VIDEO_ON_DEMAND
})

Response structure


resp.schema_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :name (required, String) —

    The name for the schema.

  • :schema (required, String) —

    A schema in Avro JSON format.

  • :domain (String) —

    The domain for the schema. If you are creating a schema for a dataset in a Domain dataset group, specify the domain you chose when you created the Domain dataset group.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 1860

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

#create_solution(params = {}) ⇒ Types::CreateSolutionResponse

By default, all new solutions use automatic training. With automatic training, you incur training costs while your solution is active. To avoid unnecessary costs, when you are finished you can [update the solution] to turn off automatic training. For information about training costs, see [Amazon Personalize pricing].

Creates the configuration for training a model (creating a solution version). This configuration includes the recipe to use for model training and optional training configuration, such as columns to use in training and feature transformation parameters. For more information about configuring a solution, see [Creating and configuring a solution].

By default, new solutions use automatic training to create solution versions every 7 days. You can change the training frequency. Automatic solution version creation starts within one hour after the solution is ACTIVE. If you manually create a solution version within the hour, the solution skips the first automatic training. For more information, see [Configuring automatic training].

To turn off automatic training, set ‘performAutoTraining` to false. If you turn off automatic training, you must manually create a solution version by calling the [CreateSolutionVersion] operation.

After training starts, you can get the solution version’s Amazon Resource Name (ARN) with the [ListSolutionVersions] API operation. To get its status, use the [DescribeSolutionVersion].

After training completes you can evaluate model accuracy by calling [GetSolutionMetrics]. When you are satisfied with the solution version, you deploy it using [CreateCampaign]. The campaign provides recommendations to a client through the

GetRecommendations][10

API.

<note markdown=“1”> Amazon Personalize doesn’t support configuring the ‘hpoObjective` for solution hyperparameter optimization at this time.

</note>

Status

A solution can be in one of the following states:

  • CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED

  • DELETE PENDING &gt; DELETE IN_PROGRESS

To get the status of the solution, call [DescribeSolution]. If you use manual training, the status must be ACTIVE before you call ‘CreateSolutionVersion`.

**Related APIs**

  • UpdateSolution][1
  • ListSolutions][12
  • CreateSolutionVersion][5
  • DescribeSolution][11
  • DeleteSolution][13

^

  • ListSolutionVersions][6
  • DescribeSolutionVersion][7

[1]: docs.aws.amazon.com/personalize/latest/dg/API_UpdateSolution.html [2]: aws.amazon.com/personalize/pricing/ [3]: docs.aws.amazon.com/personalize/latest/dg/customizing-solution-config.html [4]: docs.aws.amazon.com/personalize/latest/dg/solution-config-auto-training.html [5]: docs.aws.amazon.com/personalize/latest/dg/API_CreateSolutionVersion.html [6]: docs.aws.amazon.com/personalize/latest/dg/API_ListSolutionVersions.html [7]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolutionVersion.html [8]: docs.aws.amazon.com/personalize/latest/dg/API_GetSolutionMetrics.html [9]: docs.aws.amazon.com/personalize/latest/dg/API_CreateCampaign.html [10]: docs.aws.amazon.com/personalize/latest/dg/API_RS_GetRecommendations.html [11]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolution.html [12]: docs.aws.amazon.com/personalize/latest/dg/API_ListSolutions.html [13]: docs.aws.amazon.com/personalize/latest/dg/API_DeleteSolution.html

Examples:

Request syntax with placeholder values


resp = client.create_solution({
  name: "Name", # required
  perform_hpo: false,
  perform_auto_ml: false,
  perform_auto_training: false,
  recipe_arn: "Arn",
  dataset_group_arn: "Arn", # required
  event_type: "EventType",
  solution_config: {
    event_value_threshold: "EventValueThreshold",
    hpo_config: {
      hpo_objective: {
        type: "HPOObjectiveType",
        metric_name: "MetricName",
        metric_regex: "MetricRegex",
      },
      hpo_resource_config: {
        max_number_of_training_jobs: "HPOResource",
        max_parallel_training_jobs: "HPOResource",
      },
      algorithm_hyper_parameter_ranges: {
        integer_hyper_parameter_ranges: [
          {
            name: "ParameterName",
            min_value: 1,
            max_value: 1,
          },
        ],
        continuous_hyper_parameter_ranges: [
          {
            name: "ParameterName",
            min_value: 1.0,
            max_value: 1.0,
          },
        ],
        categorical_hyper_parameter_ranges: [
          {
            name: "ParameterName",
            values: ["CategoricalValue"],
          },
        ],
      },
    },
    algorithm_hyper_parameters: {
      "ParameterName" => "ParameterValue",
    },
    feature_transformation_parameters: {
      "ParameterName" => "ParameterValue",
    },
    auto_ml_config: {
      metric_name: "MetricName",
      recipe_list: ["Arn"],
    },
    optimization_objective: {
      item_attribute: "ItemAttribute",
      objective_sensitivity: "LOW", # accepts LOW, MEDIUM, HIGH, OFF
    },
    training_data_config: {
      excluded_dataset_columns: {
        "DatasetType" => ["ColumnName"],
      },
    },
    auto_training_config: {
      scheduling_expression: "SchedulingExpression",
    },
  },
  tags: [
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
})

Response structure


resp.solution_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :name (required, String) —

    The name for the solution.

  • :perform_hpo (Boolean) —

    Whether to perform hyperparameter optimization (HPO) on the specified or selected recipe. The default is ‘false`.

    When performing AutoML, this parameter is always ‘true` and you should not set it to `false`.

  • :perform_auto_ml (Boolean) —

    We don’t recommend enabling automated machine learning. Instead, match your use case to the available Amazon Personalize recipes. For more information, see [Choosing a recipe].

    Whether to perform automated machine learning (AutoML). The default is ‘false`. For this case, you must specify `recipeArn`.

    When set to ‘true`, Amazon Personalize analyzes your training data and selects the optimal USER_PERSONALIZATION recipe and hyperparameters. In this case, you must omit `recipeArn`. Amazon Personalize determines the optimal recipe by running tests with different values for the hyperparameters. AutoML lengthens the training process as compared to selecting a specific recipe.

    [1]: docs.aws.amazon.com/personalize/latest/dg/working-with-predefined-recipes.html

  • :perform_auto_training (Boolean) —

    Whether the solution uses automatic training to create new solution versions (trained models). The default is ‘True` and the solution automatically creates new solution versions every 7 days. You can change the training frequency by specifying a `schedulingExpression` in the `AutoTrainingConfig` as part of solution configuration. For more information about automatic training, see [Configuring automatic training].

    Automatic solution version creation starts within one hour after the solution is ACTIVE. If you manually create a solution version within the hour, the solution skips the first automatic training.

    After training starts, you can get the solution version’s Amazon Resource Name (ARN) with the [ListSolutionVersions] API operation. To get its status, use the [DescribeSolutionVersion].

    [1]: docs.aws.amazon.com/personalize/latest/dg/solution-config-auto-training.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_ListSolutionVersions.html [3]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolutionVersion.html

  • :recipe_arn (String) —

    The Amazon Resource Name (ARN) of the recipe to use for model training. This is required when ‘performAutoML` is false. For information about different Amazon Personalize recipes and their ARNs, see [Choosing a recipe].

    [1]: docs.aws.amazon.com/personalize/latest/dg/working-with-predefined-recipes.html

  • :dataset_group_arn (required, String) —

    The Amazon Resource Name (ARN) of the dataset group that provides the training data.

  • :event_type (String) —

    When your have multiple event types (using an ‘EVENT_TYPE` schema field), this parameter specifies which event type (for example, ’click’ or ‘like’) is used for training the model.

    If you do not provide an ‘eventType`, Amazon Personalize will use all interactions for training with equal weight regardless of type.

  • :solution_config (Types::SolutionConfig) —

    The configuration properties for the solution. When ‘performAutoML` is set to true, Amazon Personalize only evaluates the `autoMLConfig` section of the solution configuration.

    <note markdown=“1”> Amazon Personalize doesn’t support configuring the ‘hpoObjective` at this time.

    </note>
  • :tags (Array<Types::Tag>) —

    A list of [tags] to apply to the solution.

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2129

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

#create_solution_version(params = {}) ⇒ Types::CreateSolutionVersionResponse

Trains or retrains an active solution in a Custom dataset group. A solution is created using the [CreateSolution] operation and must be in the ACTIVE state before calling ‘CreateSolutionVersion`. A new version of the solution is created every time you call this operation.

Status

A solution version can be in one of the following states:

  • CREATE PENDING

  • CREATE IN_PROGRESS

  • ACTIVE

  • CREATE FAILED

  • CREATE STOPPING

  • CREATE STOPPED

To get the status of the version, call [DescribeSolutionVersion]. Wait until the status shows as ACTIVE before calling ‘CreateCampaign`.

If the status shows as CREATE FAILED, the response includes a ‘failureReason` key, which describes why the job failed.

**Related APIs**

  • ListSolutionVersions][3
  • DescribeSolutionVersion][2
  • ListSolutions][4
  • CreateSolution][1
  • DescribeSolution][5
  • DeleteSolution][6

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateSolution.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolutionVersion.html [3]: docs.aws.amazon.com/personalize/latest/dg/API_ListSolutionVersions.html [4]: docs.aws.amazon.com/personalize/latest/dg/API_ListSolutions.html [5]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolution.html [6]: docs.aws.amazon.com/personalize/latest/dg/API_DeleteSolution.html

Examples:

Request syntax with placeholder values


resp = client.create_solution_version({
  name: "Name",
  solution_arn: "Arn", # required
  training_mode: "FULL", # accepts FULL, UPDATE, AUTOTRAIN
  tags: [
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
})

Response structure


resp.solution_version_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2251

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

#delete_campaign(params = {}) ⇒ Struct

Removes a campaign by deleting the solution deployment. The solution that the campaign is based on is not deleted and can be redeployed when needed. A deleted campaign can no longer be specified in a

GetRecommendations][1

request. For information on creating

campaigns, see [CreateCampaign].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_RS_GetRecommendations.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_CreateCampaign.html

Examples:

Request syntax with placeholder values


resp = client.delete_campaign({
  campaign_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :campaign_arn (required, String) —

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

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2282

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

#delete_dataset(params = {}) ⇒ Struct

Deletes a dataset. You can’t delete a dataset if an associated ‘DatasetImportJob` or `SolutionVersion` is in the CREATE PENDING or IN PROGRESS state. For more information on datasets, see [CreateDataset].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateDataset.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-personalize/client.rb', line 2311

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. Before you delete a dataset group, you must delete the following:

  • All associated event trackers.

  • All associated solutions.

  • All datasets in the dataset group.

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 ARN of the dataset group to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2340

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

#delete_event_tracker(params = {}) ⇒ Struct

Deletes the event tracker. Does not delete the dataset from the dataset group. For more information on event trackers, see [CreateEventTracker].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateEventTracker.html

Examples:

Request syntax with placeholder values


resp = client.delete_event_tracker({
  event_tracker_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :event_tracker_arn (required, String) —

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

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2368

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

#delete_filter(params = {}) ⇒ Struct

Deletes a filter.

Examples:

Request syntax with placeholder values


resp = client.delete_filter({
  filter_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :filter_arn (required, String) —

    The ARN of the filter to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2390

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

#delete_metric_attribution(params = {}) ⇒ Struct

Deletes a metric attribution.

Examples:

Request syntax with placeholder values


resp = client.delete_metric_attribution({
  metric_attribution_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :metric_attribution_arn (required, String) —

    The metric attribution’s Amazon Resource Name (ARN).

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2412

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

#delete_recommender(params = {}) ⇒ Struct

Deactivates and removes a recommender. A deleted recommender can no longer be specified in a [GetRecommendations] request.

[1]: docs.aws.amazon.com/personalize/latest/dg/API_RS_GetRecommendations.html

Examples:

Request syntax with placeholder values


resp = client.delete_recommender({
  recommender_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :recommender_arn (required, String) —

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

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2439

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

#delete_schema(params = {}) ⇒ Struct

Deletes a schema. Before deleting a schema, you must delete all datasets referencing the schema. For more information on schemas, see [CreateSchema].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateSchema.html

Examples:

Request syntax with placeholder values


resp = client.delete_schema({
  schema_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :schema_arn (required, String) —

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

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2467

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

#delete_solution(params = {}) ⇒ Struct

Deletes all versions of a solution and the ‘Solution` object itself. Before deleting a solution, you must delete all campaigns based on the solution. To determine what campaigns are using the solution, call

ListCampaigns][1

and supply the Amazon Resource Name (ARN) of the

solution. You can’t delete a solution if an associated ‘SolutionVersion` is in the CREATE PENDING or IN PROGRESS state. For more information on solutions, see [CreateSolution].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_ListCampaigns.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_CreateSolution.html

Examples:

Request syntax with placeholder values


resp = client.delete_solution({
  solution_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :solution_arn (required, String) —

    The ARN of the solution to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2500

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

#describe_algorithm(params = {}) ⇒ Types::DescribeAlgorithmResponse

Describes the given algorithm.

Examples:

Request syntax with placeholder values


resp = client.describe_algorithm({
  algorithm_arn: "Arn", # required
})

Response structure


resp.algorithm.name #=> String
resp.algorithm.algorithm_arn #=> String
resp.algorithm.algorithm_image.name #=> String
resp.algorithm.algorithm_image.docker_uri #=> String
resp.algorithm.default_hyper_parameters #=> Hash
resp.algorithm.default_hyper_parameters["ParameterName"] #=> String
resp.algorithm.default_hyper_parameter_ranges.integer_hyper_parameter_ranges #=> Array
resp.algorithm.default_hyper_parameter_ranges.integer_hyper_parameter_ranges[0].name #=> String
resp.algorithm.default_hyper_parameter_ranges.integer_hyper_parameter_ranges[0].min_value #=> Integer
resp.algorithm.default_hyper_parameter_ranges.integer_hyper_parameter_ranges[0].max_value #=> Integer
resp.algorithm.default_hyper_parameter_ranges.integer_hyper_parameter_ranges[0].is_tunable #=> Boolean
resp.algorithm.default_hyper_parameter_ranges.continuous_hyper_parameter_ranges #=> Array
resp.algorithm.default_hyper_parameter_ranges.continuous_hyper_parameter_ranges[0].name #=> String
resp.algorithm.default_hyper_parameter_ranges.continuous_hyper_parameter_ranges[0].min_value #=> Float
resp.algorithm.default_hyper_parameter_ranges.continuous_hyper_parameter_ranges[0].max_value #=> Float
resp.algorithm.default_hyper_parameter_ranges.continuous_hyper_parameter_ranges[0].is_tunable #=> Boolean
resp.algorithm.default_hyper_parameter_ranges.categorical_hyper_parameter_ranges #=> Array
resp.algorithm.default_hyper_parameter_ranges.categorical_hyper_parameter_ranges[0].name #=> String
resp.algorithm.default_hyper_parameter_ranges.categorical_hyper_parameter_ranges[0].values #=> Array
resp.algorithm.default_hyper_parameter_ranges.categorical_hyper_parameter_ranges[0].values[0] #=> String
resp.algorithm.default_hyper_parameter_ranges.categorical_hyper_parameter_ranges[0].is_tunable #=> Boolean
resp.algorithm.default_resource_config #=> Hash
resp.algorithm.default_resource_config["ParameterName"] #=> String
resp.algorithm.training_input_mode #=> String
resp.algorithm.role_arn #=> String
resp.algorithm.creation_date_time #=> Time
resp.algorithm.last_updated_date_time #=> Time

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :algorithm_arn (required, String) —

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2554

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

#describe_batch_inference_job(params = {}) ⇒ Types::DescribeBatchInferenceJobResponse

Gets the properties of a batch inference job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate the recommendations.

Examples:

Request syntax with placeholder values


resp = client.describe_batch_inference_job({
  batch_inference_job_arn: "Arn", # required
})

Response structure


resp.batch_inference_job.job_name #=> String
resp.batch_inference_job.batch_inference_job_arn #=> String
resp.batch_inference_job.filter_arn #=> String
resp.batch_inference_job.failure_reason #=> String
resp.batch_inference_job.solution_version_arn #=> String
resp.batch_inference_job.num_results #=> Integer
resp.batch_inference_job.job_input.s3_data_source.path #=> String
resp.batch_inference_job.job_input.s3_data_source.kms_key_arn #=> String
resp.batch_inference_job.job_output.s3_data_destination.path #=> String
resp.batch_inference_job.job_output.s3_data_destination.kms_key_arn #=> String
resp.batch_inference_job.batch_inference_job_config.item_exploration_config #=> Hash
resp.batch_inference_job.batch_inference_job_config.item_exploration_config["ParameterName"] #=> String
resp.batch_inference_job.role_arn #=> String
resp.batch_inference_job.batch_inference_job_mode #=> String, one of "BATCH_INFERENCE", "THEME_GENERATION"
resp.batch_inference_job.theme_generation_config.fields_for_theme_generation.item_name #=> String
resp.batch_inference_job.status #=> String
resp.batch_inference_job.creation_date_time #=> Time
resp.batch_inference_job.last_updated_date_time #=> Time

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :batch_inference_job_arn (required, String) —

    The ARN of the batch inference job to describe.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2601

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

#describe_batch_segment_job(params = {}) ⇒ Types::DescribeBatchSegmentJobResponse

Gets the properties of a batch segment job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate segments.

Examples:

Request syntax with placeholder values


resp = client.describe_batch_segment_job({
  batch_segment_job_arn: "Arn", # required
})

Response structure


resp.batch_segment_job.job_name #=> String
resp.batch_segment_job.batch_segment_job_arn #=> String
resp.batch_segment_job.filter_arn #=> String
resp.batch_segment_job.failure_reason #=> String
resp.batch_segment_job.solution_version_arn #=> String
resp.batch_segment_job.num_results #=> Integer
resp.batch_segment_job.job_input.s3_data_source.path #=> String
resp.batch_segment_job.job_input.s3_data_source.kms_key_arn #=> String
resp.batch_segment_job.job_output.s3_data_destination.path #=> String
resp.batch_segment_job.job_output.s3_data_destination.kms_key_arn #=> String
resp.batch_segment_job.role_arn #=> String
resp.batch_segment_job.status #=> String
resp.batch_segment_job.creation_date_time #=> Time
resp.batch_segment_job.last_updated_date_time #=> Time

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :batch_segment_job_arn (required, String) —

    The ARN of the batch segment job to describe.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2644

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

#describe_campaign(params = {}) ⇒ Types::DescribeCampaignResponse

Describes the given campaign, including its status.

A campaign can be in one of the following states:

  • CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED

  • DELETE PENDING &gt; DELETE IN_PROGRESS

When the ‘status` is `CREATE FAILED`, the response includes the `failureReason` key, which describes why.

For more information on campaigns, see [CreateCampaign].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateCampaign.html

Examples:

Request syntax with placeholder values


resp = client.describe_campaign({
  campaign_arn: "Arn", # required
})

Response structure


resp.campaign.name #=> String
resp.campaign.campaign_arn #=> String
resp.campaign.solution_version_arn #=> String
resp.campaign.min_provisioned_tps #=> Integer
resp.campaign.campaign_config.item_exploration_config #=> Hash
resp.campaign.campaign_config.item_exploration_config["ParameterName"] #=> String
resp.campaign.campaign_config.enable_metadata_with_recommendations #=> Boolean
resp.campaign.campaign_config.sync_with_latest_solution_version #=> Boolean
resp.campaign.status #=> String
resp.campaign.failure_reason #=> String
resp.campaign.creation_date_time #=> Time
resp.campaign.last_updated_date_time #=> Time
resp.campaign.latest_campaign_update.solution_version_arn #=> String
resp.campaign.latest_campaign_update.min_provisioned_tps #=> Integer
resp.campaign.latest_campaign_update.campaign_config.item_exploration_config #=> Hash
resp.campaign.latest_campaign_update.campaign_config.item_exploration_config["ParameterName"] #=> String
resp.campaign.latest_campaign_update.campaign_config.enable_metadata_with_recommendations #=> Boolean
resp.campaign.latest_campaign_update.campaign_config.sync_with_latest_solution_version #=> Boolean
resp.campaign.latest_campaign_update.status #=> String
resp.campaign.latest_campaign_update.failure_reason #=> String
resp.campaign.latest_campaign_update.creation_date_time #=> Time
resp.campaign.latest_campaign_update.last_updated_date_time #=> Time

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :campaign_arn (required, String) —

    The Amazon Resource Name (ARN) of the campaign.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2709

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

#describe_data_deletion_job(params = {}) ⇒ Types::DescribeDataDeletionJobResponse

Describes the data deletion job created by [CreateDataDeletionJob], including the job status.

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateDataDeletionJob.html

Examples:

Request syntax with placeholder values


resp = client.describe_data_deletion_job({
  data_deletion_job_arn: "Arn", # required
})

Response structure


resp.data_deletion_job.job_name #=> String
resp.data_deletion_job.data_deletion_job_arn #=> String
resp.data_deletion_job.dataset_group_arn #=> String
resp.data_deletion_job.data_source.data_location #=> String
resp.data_deletion_job.role_arn #=> String
resp.data_deletion_job.status #=> String
resp.data_deletion_job.num_deleted #=> Integer
resp.data_deletion_job.creation_date_time #=> Time
resp.data_deletion_job.last_updated_date_time #=> Time
resp.data_deletion_job.failure_reason #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :data_deletion_job_arn (required, String) —

    The Amazon Resource Name (ARN) of the data deletion job.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2751

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

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

Describes the given dataset. For more information on datasets, see [CreateDataset].

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

Examples:

Request syntax with placeholder values


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

Response structure


resp.dataset.name #=> String
resp.dataset.dataset_arn #=> String
resp.dataset.dataset_group_arn #=> String
resp.dataset.dataset_type #=> String
resp.dataset.schema_arn #=> String
resp.dataset.status #=> String
resp.dataset.creation_date_time #=> Time
resp.dataset.last_updated_date_time #=> Time
resp.dataset.latest_dataset_update.schema_arn #=> String
resp.dataset.latest_dataset_update.status #=> String
resp.dataset.latest_dataset_update.failure_reason #=> String
resp.dataset.latest_dataset_update.creation_date_time #=> Time
resp.dataset.latest_dataset_update.last_updated_date_time #=> Time
resp.dataset.tracking_id #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_arn (required, String) —

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2797

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

#describe_dataset_export_job(params = {}) ⇒ Types::DescribeDatasetExportJobResponse

Describes the dataset export job created by [CreateDatasetExportJob], including the export job status.

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetExportJob.html

Examples:

Request syntax with placeholder values


resp = client.describe_dataset_export_job({
  dataset_export_job_arn: "Arn", # required
})

Response structure


resp.dataset_export_job.job_name #=> String
resp.dataset_export_job.dataset_export_job_arn #=> String
resp.dataset_export_job.dataset_arn #=> String
resp.dataset_export_job.ingestion_mode #=> String, one of "BULK", "PUT", "ALL"
resp.dataset_export_job.role_arn #=> String
resp.dataset_export_job.status #=> String
resp.dataset_export_job.job_output.s3_data_destination.path #=> String
resp.dataset_export_job.job_output.s3_data_destination.kms_key_arn #=> String
resp.dataset_export_job.creation_date_time #=> Time
resp.dataset_export_job.last_updated_date_time #=> Time
resp.dataset_export_job.failure_reason #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_export_job_arn (required, String) —

    The Amazon Resource Name (ARN) of the dataset export job to describe.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2840

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

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

Describes the given dataset group. For more information on dataset groups, see [CreateDatasetGroup].

[1]: docs.aws.amazon.com/personalize/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.dataset_group_arn #=> String
resp.dataset_group.status #=> String
resp.dataset_group.role_arn #=> String
resp.dataset_group.kms_key_arn #=> String
resp.dataset_group.creation_date_time #=> Time
resp.dataset_group.last_updated_date_time #=> Time
resp.dataset_group.failure_reason #=> String
resp.dataset_group.domain #=> String, one of "ECOMMERCE", "VIDEO_ON_DEMAND"

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_group_arn (required, String) —

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2881

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 the dataset import job created by [CreateDatasetImportJob], including the import job status.

[1]: docs.aws.amazon.com/personalize/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.job_name #=> String
resp.dataset_import_job.dataset_import_job_arn #=> String
resp.dataset_import_job.dataset_arn #=> String
resp.dataset_import_job.data_source.data_location #=> String
resp.dataset_import_job.role_arn #=> String
resp.dataset_import_job.status #=> String
resp.dataset_import_job.creation_date_time #=> Time
resp.dataset_import_job.last_updated_date_time #=> Time
resp.dataset_import_job.failure_reason #=> String
resp.dataset_import_job.import_mode #=> String, one of "FULL", "INCREMENTAL"
resp.dataset_import_job.publish_attribution_metrics_to_s3 #=> Boolean

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 describe.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2924

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

#describe_event_tracker(params = {}) ⇒ Types::DescribeEventTrackerResponse

Describes an event tracker. The response includes the ‘trackingId` and `status` of the event tracker. For more information on event trackers, see [CreateEventTracker].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateEventTracker.html

Examples:

Request syntax with placeholder values


resp = client.describe_event_tracker({
  event_tracker_arn: "Arn", # required
})

Response structure


resp.event_tracker.name #=> String
resp.event_tracker.event_tracker_arn #=> String
resp.event_tracker. #=> String
resp.event_tracker.tracking_id #=> String
resp.event_tracker.dataset_group_arn #=> String
resp.event_tracker.status #=> String
resp.event_tracker.creation_date_time #=> Time
resp.event_tracker.last_updated_date_time #=> Time

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :event_tracker_arn (required, String) —

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 2965

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

#describe_feature_transformation(params = {}) ⇒ Types::DescribeFeatureTransformationResponse

Describes the given feature transformation.

Examples:

Request syntax with placeholder values


resp = client.describe_feature_transformation({
  feature_transformation_arn: "Arn", # required
})

Response structure


resp.feature_transformation.name #=> String
resp.feature_transformation.feature_transformation_arn #=> String
resp.feature_transformation.default_parameters #=> Hash
resp.feature_transformation.default_parameters["ParameterName"] #=> String
resp.feature_transformation.creation_date_time #=> Time
resp.feature_transformation.last_updated_date_time #=> Time
resp.feature_transformation.status #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :feature_transformation_arn (required, String) —

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3000

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

#describe_filter(params = {}) ⇒ Types::DescribeFilterResponse

Describes a filter’s properties.

Examples:

Request syntax with placeholder values


resp = client.describe_filter({
  filter_arn: "Arn", # required
})

Response structure


resp.data.filter.name #=> String
resp.data.filter.filter_arn #=> String
resp.data.filter.creation_date_time #=> Time
resp.data.filter.last_updated_date_time #=> Time
resp.data.filter.dataset_group_arn #=> String
resp.data.filter.failure_reason #=> String
resp.data.filter.filter_expression #=> String
resp.data.filter.status #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :filter_arn (required, String) —

    The ARN of the filter to describe.

Returns:

  • (Types::DescribeFilterResponse) —

    Returns a response object which responds to the following methods:

    • #data.filter => Types::Filter (This method conflicts with a method on Response, call it through the data member)

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3035

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

#describe_metric_attribution(params = {}) ⇒ Types::DescribeMetricAttributionResponse

Describes a metric attribution.

Examples:

Request syntax with placeholder values


resp = client.describe_metric_attribution({
  metric_attribution_arn: "Arn", # required
})

Response structure


resp.metric_attribution.name #=> String
resp.metric_attribution.metric_attribution_arn #=> String
resp.metric_attribution.dataset_group_arn #=> String
resp.metric_attribution.metrics_output_config.s3_data_destination.path #=> String
resp.metric_attribution.metrics_output_config.s3_data_destination.kms_key_arn #=> String
resp.metric_attribution.metrics_output_config.role_arn #=> String
resp.metric_attribution.status #=> String
resp.metric_attribution.creation_date_time #=> Time
resp.metric_attribution.last_updated_date_time #=> Time
resp.metric_attribution.failure_reason #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :metric_attribution_arn (required, String) —

    The metric attribution’s Amazon Resource Name (ARN).

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3072

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

#describe_recipe(params = {}) ⇒ Types::DescribeRecipeResponse

Describes a recipe.

A recipe contains three items:

  • An algorithm that trains a model.

  • Hyperparameters that govern the training.

  • Feature transformation information for modifying the input data before training.

Amazon Personalize provides a set of predefined recipes. You specify a recipe when you create a solution with the [CreateSolution] API. ‘CreateSolution` trains a model by using the algorithm in the specified recipe and a training dataset. The solution, when deployed as a campaign, can provide recommendations using the

GetRecommendations][2

API.

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateSolution.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_RS_GetRecommendations.html

Examples:

Request syntax with placeholder values


resp = client.describe_recipe({
  recipe_arn: "Arn", # required
})

Response structure


resp.recipe.name #=> String
resp.recipe.recipe_arn #=> String
resp.recipe.algorithm_arn #=> String
resp.recipe.feature_transformation_arn #=> String
resp.recipe.status #=> String
resp.recipe.description #=> String
resp.recipe.creation_date_time #=> Time
resp.recipe.recipe_type #=> String
resp.recipe.last_updated_date_time #=> Time

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :recipe_arn (required, String) —

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3129

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

#describe_recommender(params = {}) ⇒ Types::DescribeRecommenderResponse

Describes the given recommender, including its status.

A recommender can be in one of the following states:

  • CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED

  • STOP PENDING &gt; STOP IN_PROGRESS &gt; INACTIVE &gt; START PENDING &gt; START IN_PROGRESS &gt; ACTIVE

  • DELETE PENDING &gt; DELETE IN_PROGRESS

When the ‘status` is `CREATE FAILED`, the response includes the `failureReason` key, which describes why.

The ‘modelMetrics` key is null when the recommender is being created or deleted.

For more information on recommenders, see [CreateRecommender].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateRecommender.html

Examples:

Request syntax with placeholder values


resp = client.describe_recommender({
  recommender_arn: "Arn", # required
})

Response structure


resp.recommender.recommender_arn #=> String
resp.recommender.dataset_group_arn #=> String
resp.recommender.name #=> String
resp.recommender.recipe_arn #=> String
resp.recommender.recommender_config.item_exploration_config #=> Hash
resp.recommender.recommender_config.item_exploration_config["ParameterName"] #=> String
resp.recommender.recommender_config.min_recommendation_requests_per_second #=> Integer
resp.recommender.recommender_config.training_data_config.excluded_dataset_columns #=> Hash
resp.recommender.recommender_config.training_data_config.excluded_dataset_columns["DatasetType"] #=> Array
resp.recommender.recommender_config.training_data_config.excluded_dataset_columns["DatasetType"][0] #=> String
resp.recommender.recommender_config.enable_metadata_with_recommendations #=> Boolean
resp.recommender.creation_date_time #=> Time
resp.recommender.last_updated_date_time #=> Time
resp.recommender.status #=> String
resp.recommender.failure_reason #=> String
resp.recommender.latest_recommender_update.recommender_config.item_exploration_config #=> Hash
resp.recommender.latest_recommender_update.recommender_config.item_exploration_config["ParameterName"] #=> String
resp.recommender.latest_recommender_update.recommender_config.min_recommendation_requests_per_second #=> Integer
resp.recommender.latest_recommender_update.recommender_config.training_data_config.excluded_dataset_columns #=> Hash
resp.recommender.latest_recommender_update.recommender_config.training_data_config.excluded_dataset_columns["DatasetType"] #=> Array
resp.recommender.latest_recommender_update.recommender_config.training_data_config.excluded_dataset_columns["DatasetType"][0] #=> String
resp.recommender.latest_recommender_update.recommender_config.enable_metadata_with_recommendations #=> Boolean
resp.recommender.latest_recommender_update.creation_date_time #=> Time
resp.recommender.latest_recommender_update.last_updated_date_time #=> Time
resp.recommender.latest_recommender_update.status #=> String
resp.recommender.latest_recommender_update.failure_reason #=> String
resp.recommender.model_metrics #=> Hash
resp.recommender.model_metrics["MetricName"] #=> Float

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :recommender_arn (required, String) —

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3206

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

#describe_schema(params = {}) ⇒ Types::DescribeSchemaResponse

Describes a schema. For more information on schemas, see [CreateSchema].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateSchema.html

Examples:

Request syntax with placeholder values


resp = client.describe_schema({
  schema_arn: "Arn", # required
})

Response structure


resp.schema.name #=> String
resp.schema.schema_arn #=> String
resp.schema.schema #=> String
resp.schema.creation_date_time #=> Time
resp.schema.last_updated_date_time #=> Time
resp.schema.domain #=> String, one of "ECOMMERCE", "VIDEO_ON_DEMAND"

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :schema_arn (required, String) —

    The Amazon Resource Name (ARN) of the schema to retrieve.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3244

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

#describe_solution(params = {}) ⇒ Types::DescribeSolutionResponse

Describes a solution. For more information on solutions, see [CreateSolution].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateSolution.html

Examples:

Request syntax with placeholder values


resp = client.describe_solution({
  solution_arn: "Arn", # required
})

Response structure


resp.solution.name #=> String
resp.solution.solution_arn #=> String
resp.solution.perform_hpo #=> Boolean
resp.solution.perform_auto_ml #=> Boolean
resp.solution.perform_auto_training #=> Boolean
resp.solution.recipe_arn #=> String
resp.solution.dataset_group_arn #=> String
resp.solution.event_type #=> String
resp.solution.solution_config.event_value_threshold #=> String
resp.solution.solution_config.hpo_config.hpo_objective.type #=> String
resp.solution.solution_config.hpo_config.hpo_objective.metric_name #=> String
resp.solution.solution_config.hpo_config.hpo_objective.metric_regex #=> String
resp.solution.solution_config.hpo_config.hpo_resource_config.max_number_of_training_jobs #=> String
resp.solution.solution_config.hpo_config.hpo_resource_config.max_parallel_training_jobs #=> String
resp.solution.solution_config.hpo_config.algorithm_hyper_parameter_ranges.integer_hyper_parameter_ranges #=> Array
resp.solution.solution_config.hpo_config.algorithm_hyper_parameter_ranges.integer_hyper_parameter_ranges[0].name #=> String
resp.solution.solution_config.hpo_config.algorithm_hyper_parameter_ranges.integer_hyper_parameter_ranges[0].min_value #=> Integer
resp.solution.solution_config.hpo_config.algorithm_hyper_parameter_ranges.integer_hyper_parameter_ranges[0].max_value #=> Integer
resp.solution.solution_config.hpo_config.algorithm_hyper_parameter_ranges.continuous_hyper_parameter_ranges #=> Array
resp.solution.solution_config.hpo_config.algorithm_hyper_parameter_ranges.continuous_hyper_parameter_ranges[0].name #=> String
resp.solution.solution_config.hpo_config.algorithm_hyper_parameter_ranges.continuous_hyper_parameter_ranges[0].min_value #=> Float
resp.solution.solution_config.hpo_config.algorithm_hyper_parameter_ranges.continuous_hyper_parameter_ranges[0].max_value #=> Float
resp.solution.solution_config.hpo_config.algorithm_hyper_parameter_ranges.categorical_hyper_parameter_ranges #=> Array
resp.solution.solution_config.hpo_config.algorithm_hyper_parameter_ranges.categorical_hyper_parameter_ranges[0].name #=> String
resp.solution.solution_config.hpo_config.algorithm_hyper_parameter_ranges.categorical_hyper_parameter_ranges[0].values #=> Array
resp.solution.solution_config.hpo_config.algorithm_hyper_parameter_ranges.categorical_hyper_parameter_ranges[0].values[0] #=> String
resp.solution.solution_config.algorithm_hyper_parameters #=> Hash
resp.solution.solution_config.algorithm_hyper_parameters["ParameterName"] #=> String
resp.solution.solution_config.feature_transformation_parameters #=> Hash
resp.solution.solution_config.feature_transformation_parameters["ParameterName"] #=> String
resp.solution.solution_config.auto_ml_config.metric_name #=> String
resp.solution.solution_config.auto_ml_config.recipe_list #=> Array
resp.solution.solution_config.auto_ml_config.recipe_list[0] #=> String
resp.solution.solution_config.optimization_objective.item_attribute #=> String
resp.solution.solution_config.optimization_objective.objective_sensitivity #=> String, one of "LOW", "MEDIUM", "HIGH", "OFF"
resp.solution.solution_config.training_data_config.excluded_dataset_columns #=> Hash
resp.solution.solution_config.training_data_config.excluded_dataset_columns["DatasetType"] #=> Array
resp.solution.solution_config.training_data_config.excluded_dataset_columns["DatasetType"][0] #=> String
resp.solution.solution_config.auto_training_config.scheduling_expression #=> String
resp.solution.auto_ml_result.best_recipe_arn #=> String
resp.solution.status #=> String
resp.solution.creation_date_time #=> Time
resp.solution.last_updated_date_time #=> Time
resp.solution.latest_solution_version.solution_version_arn #=> String
resp.solution.latest_solution_version.status #=> String
resp.solution.latest_solution_version.training_mode #=> String, one of "FULL", "UPDATE", "AUTOTRAIN"
resp.solution.latest_solution_version.training_type #=> String, one of "AUTOMATIC", "MANUAL"
resp.solution.latest_solution_version.creation_date_time #=> Time
resp.solution.latest_solution_version.last_updated_date_time #=> Time
resp.solution.latest_solution_version.failure_reason #=> String
resp.solution.latest_solution_update.solution_update_config.auto_training_config.scheduling_expression #=> String
resp.solution.latest_solution_update.status #=> String
resp.solution.latest_solution_update.perform_auto_training #=> Boolean
resp.solution.latest_solution_update.creation_date_time #=> Time
resp.solution.latest_solution_update.last_updated_date_time #=> Time
resp.solution.latest_solution_update.failure_reason #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :solution_arn (required, String) —

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

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3332

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

#describe_solution_version(params = {}) ⇒ Types::DescribeSolutionVersionResponse

Describes a specific version of a solution. For more information on solutions, see [CreateSolution]

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateSolution.html

Examples:

Request syntax with placeholder values


resp = client.describe_solution_version({
  solution_version_arn: "Arn", # required
})

Response structure


resp.solution_version.name #=> String
resp.solution_version.solution_version_arn #=> String
resp.solution_version.solution_arn #=> String
resp.solution_version.perform_hpo #=> Boolean
resp.solution_version.perform_auto_ml #=> Boolean
resp.solution_version.recipe_arn #=> String
resp.solution_version.event_type #=> String
resp.solution_version.dataset_group_arn #=> String
resp.solution_version.solution_config.event_value_threshold #=> String
resp.solution_version.solution_config.hpo_config.hpo_objective.type #=> String
resp.solution_version.solution_config.hpo_config.hpo_objective.metric_name #=> String
resp.solution_version.solution_config.hpo_config.hpo_objective.metric_regex #=> String
resp.solution_version.solution_config.hpo_config.hpo_resource_config.max_number_of_training_jobs #=> String
resp.solution_version.solution_config.hpo_config.hpo_resource_config.max_parallel_training_jobs #=> String
resp.solution_version.solution_config.hpo_config.algorithm_hyper_parameter_ranges.integer_hyper_parameter_ranges #=> Array
resp.solution_version.solution_config.hpo_config.algorithm_hyper_parameter_ranges.integer_hyper_parameter_ranges[0].name #=> String
resp.solution_version.solution_config.hpo_config.algorithm_hyper_parameter_ranges.integer_hyper_parameter_ranges[0].min_value #=> Integer
resp.solution_version.solution_config.hpo_config.algorithm_hyper_parameter_ranges.integer_hyper_parameter_ranges[0].max_value #=> Integer
resp.solution_version.solution_config.hpo_config.algorithm_hyper_parameter_ranges.continuous_hyper_parameter_ranges #=> Array
resp.solution_version.solution_config.hpo_config.algorithm_hyper_parameter_ranges.continuous_hyper_parameter_ranges[0].name #=> String
resp.solution_version.solution_config.hpo_config.algorithm_hyper_parameter_ranges.continuous_hyper_parameter_ranges[0].min_value #=> Float
resp.solution_version.solution_config.hpo_config.algorithm_hyper_parameter_ranges.continuous_hyper_parameter_ranges[0].max_value #=> Float
resp.solution_version.solution_config.hpo_config.algorithm_hyper_parameter_ranges.categorical_hyper_parameter_ranges #=> Array
resp.solution_version.solution_config.hpo_config.algorithm_hyper_parameter_ranges.categorical_hyper_parameter_ranges[0].name #=> String
resp.solution_version.solution_config.hpo_config.algorithm_hyper_parameter_ranges.categorical_hyper_parameter_ranges[0].values #=> Array
resp.solution_version.solution_config.hpo_config.algorithm_hyper_parameter_ranges.categorical_hyper_parameter_ranges[0].values[0] #=> String
resp.solution_version.solution_config.algorithm_hyper_parameters #=> Hash
resp.solution_version.solution_config.algorithm_hyper_parameters["ParameterName"] #=> String
resp.solution_version.solution_config.feature_transformation_parameters #=> Hash
resp.solution_version.solution_config.feature_transformation_parameters["ParameterName"] #=> String
resp.solution_version.solution_config.auto_ml_config.metric_name #=> String
resp.solution_version.solution_config.auto_ml_config.recipe_list #=> Array
resp.solution_version.solution_config.auto_ml_config.recipe_list[0] #=> String
resp.solution_version.solution_config.optimization_objective.item_attribute #=> String
resp.solution_version.solution_config.optimization_objective.objective_sensitivity #=> String, one of "LOW", "MEDIUM", "HIGH", "OFF"
resp.solution_version.solution_config.training_data_config.excluded_dataset_columns #=> Hash
resp.solution_version.solution_config.training_data_config.excluded_dataset_columns["DatasetType"] #=> Array
resp.solution_version.solution_config.training_data_config.excluded_dataset_columns["DatasetType"][0] #=> String
resp.solution_version.solution_config.auto_training_config.scheduling_expression #=> String
resp.solution_version.training_hours #=> Float
resp.solution_version.training_mode #=> String, one of "FULL", "UPDATE", "AUTOTRAIN"
resp.solution_version.tuned_hpo_params.algorithm_hyper_parameters #=> Hash
resp.solution_version.tuned_hpo_params.algorithm_hyper_parameters["ParameterName"] #=> String
resp.solution_version.status #=> String
resp.solution_version.failure_reason #=> String
resp.solution_version.creation_date_time #=> Time
resp.solution_version.last_updated_date_time #=> Time
resp.solution_version.training_type #=> String, one of "AUTOMATIC", "MANUAL"

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :solution_version_arn (required, String) —

    The Amazon Resource Name (ARN) of the solution version.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3412

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

#get_solution_metrics(params = {}) ⇒ Types::GetSolutionMetricsResponse

Gets the metrics for the specified solution version.

Examples:

Request syntax with placeholder values


resp = client.get_solution_metrics({
  solution_version_arn: "Arn", # required
})

Response structure


resp.solution_version_arn #=> String
resp.metrics #=> Hash
resp.metrics["MetricName"] #=> Float

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :solution_version_arn (required, String) —

    The Amazon Resource Name (ARN) of the solution version for which to get metrics.

Returns:

See Also:



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

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

#list_batch_inference_jobs(params = {}) ⇒ Types::ListBatchInferenceJobsResponse

Gets a list of the batch inference jobs that have been performed off of a solution version.

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_batch_inference_jobs({
  solution_version_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.batch_inference_jobs #=> Array
resp.batch_inference_jobs[0].batch_inference_job_arn #=> String
resp.batch_inference_jobs[0].job_name #=> String
resp.batch_inference_jobs[0].status #=> String
resp.batch_inference_jobs[0].creation_date_time #=> Time
resp.batch_inference_jobs[0].last_updated_date_time #=> Time
resp.batch_inference_jobs[0].failure_reason #=> String
resp.batch_inference_jobs[0].solution_version_arn #=> String
resp.batch_inference_jobs[0].batch_inference_job_mode #=> String, one of "BATCH_INFERENCE", "THEME_GENERATION"
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :solution_version_arn (String) —

    The Amazon Resource Name (ARN) of the solution version from which the batch inference jobs were created.

  • :next_token (String) —

    The token to request the next page of results.

  • :max_results (Integer) —

    The maximum number of batch inference job results to return in each page. The default value is 100.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3495

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

#list_batch_segment_jobs(params = {}) ⇒ Types::ListBatchSegmentJobsResponse

Gets a list of the batch segment jobs that have been performed off of a solution version that you specify.

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_batch_segment_jobs({
  solution_version_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.batch_segment_jobs #=> Array
resp.batch_segment_jobs[0].batch_segment_job_arn #=> String
resp.batch_segment_jobs[0].job_name #=> String
resp.batch_segment_jobs[0].status #=> String
resp.batch_segment_jobs[0].creation_date_time #=> Time
resp.batch_segment_jobs[0].last_updated_date_time #=> Time
resp.batch_segment_jobs[0].failure_reason #=> String
resp.batch_segment_jobs[0].solution_version_arn #=> String
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :solution_version_arn (String) —

    The Amazon Resource Name (ARN) of the solution version that the batch segment jobs used to generate batch segments.

  • :next_token (String) —

    The token to request the next page of results.

  • :max_results (Integer) —

    The maximum number of batch segment job results to return in each page. The default value is 100.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3545

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

#list_campaigns(params = {}) ⇒ Types::ListCampaignsResponse

Returns a list of campaigns that use the given solution. When a solution is not specified, all the campaigns associated with the account are listed. The response provides the properties for each campaign, including the Amazon Resource Name (ARN). For more information on campaigns, see [CreateCampaign].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateCampaign.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_campaigns({
  solution_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.campaigns #=> Array
resp.campaigns[0].name #=> String
resp.campaigns[0].campaign_arn #=> String
resp.campaigns[0].status #=> String
resp.campaigns[0].creation_date_time #=> Time
resp.campaigns[0].last_updated_date_time #=> Time
resp.campaigns[0].failure_reason #=> String
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :solution_arn (String) —

    The Amazon Resource Name (ARN) of the solution to list the campaigns for. When a solution is not specified, all the campaigns associated with the account are listed.

  • :next_token (String) —

    A token returned from the previous call to [ListCampaigns] for getting the next set of campaigns (if they exist).

    [1]: docs.aws.amazon.com/personalize/latest/dg/API_ListCampaigns.html

  • :max_results (Integer) —

    The maximum number of campaigns to return.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3606

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

#list_data_deletion_jobs(params = {}) ⇒ Types::ListDataDeletionJobsResponse

Returns a list of data deletion jobs for a dataset group ordered by creation time, with the most recent first. When a dataset group is not specified, all the data deletion jobs associated with the account are listed. The response provides the properties for each job, including the Amazon Resource Name (ARN). For more information on data deletion jobs, see [Deleting users].

[1]: docs.aws.amazon.com/personalize/latest/dg/delete-records.html

Examples:

Request syntax with placeholder values


resp = client.list_data_deletion_jobs({
  dataset_group_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.data_deletion_jobs #=> Array
resp.data_deletion_jobs[0].data_deletion_job_arn #=> String
resp.data_deletion_jobs[0].dataset_group_arn #=> String
resp.data_deletion_jobs[0].job_name #=> String
resp.data_deletion_jobs[0].status #=> String
resp.data_deletion_jobs[0].creation_date_time #=> Time
resp.data_deletion_jobs[0].last_updated_date_time #=> Time
resp.data_deletion_jobs[0].failure_reason #=> String
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_group_arn (String) —

    The Amazon Resource Name (ARN) of the dataset group to list data deletion jobs for.

  • :next_token (String) —

    A token returned from the previous call to ‘ListDataDeletionJobs` for getting the next set of jobs (if they exist).

  • :max_results (Integer) —

    The maximum number of data deletion jobs to return.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3662

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

#list_dataset_export_jobs(params = {}) ⇒ Types::ListDatasetExportJobsResponse

Returns a list of dataset export jobs that use the given dataset. When a dataset is not specified, all the dataset export jobs associated with the account are listed. The response provides the properties for each dataset export job, including the Amazon Resource Name (ARN). For more information on dataset export jobs, see [CreateDatasetExportJob]. For more information on datasets, see [CreateDataset].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetExportJob.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_CreateDataset.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_export_jobs({
  dataset_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.dataset_export_jobs #=> Array
resp.dataset_export_jobs[0].dataset_export_job_arn #=> String
resp.dataset_export_jobs[0].job_name #=> String
resp.dataset_export_jobs[0].status #=> String
resp.dataset_export_jobs[0].creation_date_time #=> Time
resp.dataset_export_jobs[0].last_updated_date_time #=> Time
resp.dataset_export_jobs[0].failure_reason #=> String
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_arn (String) —

    The Amazon Resource Name (ARN) of the dataset to list the dataset export jobs for.

  • :next_token (String) —

    A token returned from the previous call to ‘ListDatasetExportJobs` for getting the next set of dataset export jobs (if they exist).

  • :max_results (Integer) —

    The maximum number of dataset export jobs to return.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3721

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

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

Returns a list of dataset groups. The response provides the properties for each dataset group, including the Amazon Resource Name (ARN). For more information on dataset groups, see [CreateDatasetGroup].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetGroup.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].name #=> String
resp.dataset_groups[0].dataset_group_arn #=> String
resp.dataset_groups[0].status #=> String
resp.dataset_groups[0].creation_date_time #=> Time
resp.dataset_groups[0].last_updated_date_time #=> Time
resp.dataset_groups[0].failure_reason #=> String
resp.dataset_groups[0].domain #=> String, one of "ECOMMERCE", "VIDEO_ON_DEMAND"
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    A token returned from the previous call to ‘ListDatasetGroups` for getting the next set of dataset groups (if they exist).

  • :max_results (Integer) —

    The maximum number of dataset groups to return.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3771

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 that use the given dataset. When a dataset is not specified, all the dataset import jobs associated with the account are listed. The response provides the properties for each dataset import job, including the Amazon Resource Name (ARN). For more information on dataset import jobs, see [CreateDatasetImportJob]. For more information on datasets, see [CreateDataset].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetImportJob.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_CreateDataset.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({
  dataset_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.dataset_import_jobs #=> Array
resp.dataset_import_jobs[0].dataset_import_job_arn #=> String
resp.dataset_import_jobs[0].job_name #=> String
resp.dataset_import_jobs[0].status #=> String
resp.dataset_import_jobs[0].creation_date_time #=> Time
resp.dataset_import_jobs[0].last_updated_date_time #=> Time
resp.dataset_import_jobs[0].failure_reason #=> String
resp.dataset_import_jobs[0].import_mode #=> String, one of "FULL", "INCREMENTAL"
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_arn (String) —

    The Amazon Resource Name (ARN) of the dataset to list the dataset import jobs for.

  • :next_token (String) —

    A token returned from the previous call to ‘ListDatasetImportJobs` for getting the next set of dataset import jobs (if they exist).

  • :max_results (Integer) —

    The maximum number of dataset import jobs to return.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3831

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 the list of datasets contained in the given dataset group. The response provides the properties for each dataset, including the Amazon Resource Name (ARN). For more information on datasets, see [CreateDataset].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateDataset.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({
  dataset_group_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.datasets #=> Array
resp.datasets[0].name #=> String
resp.datasets[0].dataset_arn #=> String
resp.datasets[0].dataset_type #=> String
resp.datasets[0].status #=> String
resp.datasets[0].creation_date_time #=> Time
resp.datasets[0].last_updated_date_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_group_arn (String) —

    The Amazon Resource Name (ARN) of the dataset group that contains the datasets to list.

  • :next_token (String) —

    A token returned from the previous call to ‘ListDatasets` for getting the next set of dataset import jobs (if they exist).

  • :max_results (Integer) —

    The maximum number of datasets to return.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3886

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

#list_event_trackers(params = {}) ⇒ Types::ListEventTrackersResponse

Returns the list of event trackers associated with the account. The response provides the properties for each event tracker, including the Amazon Resource Name (ARN) and tracking ID. For more information on event trackers, see [CreateEventTracker].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateEventTracker.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_event_trackers({
  dataset_group_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.event_trackers #=> Array
resp.event_trackers[0].name #=> String
resp.event_trackers[0].event_tracker_arn #=> String
resp.event_trackers[0].status #=> String
resp.event_trackers[0].creation_date_time #=> Time
resp.event_trackers[0].last_updated_date_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_group_arn (String) —

    The ARN of a dataset group used to filter the response.

  • :next_token (String) —

    A token returned from the previous call to ‘ListEventTrackers` for getting the next set of event trackers (if they exist).

  • :max_results (Integer) —

    The maximum number of event trackers to return.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3939

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

#list_filters(params = {}) ⇒ Types::ListFiltersResponse

Lists all filters that belong to a given dataset group.

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_filters({
  dataset_group_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.filters #=> Array
resp.filters[0].name #=> String
resp.filters[0].filter_arn #=> String
resp.filters[0].creation_date_time #=> Time
resp.filters[0].last_updated_date_time #=> Time
resp.filters[0].dataset_group_arn #=> String
resp.filters[0].failure_reason #=> String
resp.filters[0].status #=> String
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_group_arn (String) —

    The ARN of the dataset group that contains the filters.

  • :next_token (String) —

    A token returned from the previous call to ‘ListFilters` for getting the next set of filters (if they exist).

  • :max_results (Integer) —

    The maximum number of filters to return.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 3987

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

#list_metric_attribution_metrics(params = {}) ⇒ Types::ListMetricAttributionMetricsResponse

Lists the metrics for the metric attribution.

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_metric_attribution_metrics({
  metric_attribution_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.metrics #=> Array
resp.metrics[0].event_type #=> String
resp.metrics[0].metric_name #=> String
resp.metrics[0].expression #=> String
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :metric_attribution_arn (String) —

    The Amazon Resource Name (ARN) of the metric attribution to retrieve attributes for.

  • :next_token (String) —

    Specify the pagination token from a previous request to retrieve the next page of results.

  • :max_results (Integer) —

    The maximum number of metrics to return in one page of results.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4032

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

#list_metric_attributions(params = {}) ⇒ Types::ListMetricAttributionsResponse

Lists metric attributions.

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_metric_attributions({
  dataset_group_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.metric_attributions #=> Array
resp.metric_attributions[0].name #=> String
resp.metric_attributions[0].metric_attribution_arn #=> String
resp.metric_attributions[0].status #=> String
resp.metric_attributions[0].creation_date_time #=> Time
resp.metric_attributions[0].last_updated_date_time #=> Time
resp.metric_attributions[0].failure_reason #=> String
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_group_arn (String) —

    The metric attributions’ dataset group Amazon Resource Name (ARN).

  • :next_token (String) —

    Specify the pagination token from a previous request to retrieve the next page of results.

  • :max_results (Integer) —

    The maximum number of metric attributions to return in one page of results.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4080

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

#list_recipes(params = {}) ⇒ Types::ListRecipesResponse

Returns a list of available recipes. The response provides the properties for each recipe, including the recipe’s Amazon Resource Name (ARN).

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_recipes({
  recipe_provider: "SERVICE", # accepts SERVICE
  next_token: "NextToken",
  max_results: 1,
  domain: "ECOMMERCE", # accepts ECOMMERCE, VIDEO_ON_DEMAND
})

Response structure


resp.recipes #=> Array
resp.recipes[0].name #=> String
resp.recipes[0].recipe_arn #=> String
resp.recipes[0].status #=> String
resp.recipes[0].creation_date_time #=> Time
resp.recipes[0].last_updated_date_time #=> Time
resp.recipes[0].domain #=> String, one of "ECOMMERCE", "VIDEO_ON_DEMAND"
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :recipe_provider (String) —

    The default is ‘SERVICE`.

  • :next_token (String) —

    A token returned from the previous call to ‘ListRecipes` for getting the next set of recipes (if they exist).

  • :max_results (Integer) —

    The maximum number of recipes to return.

  • :domain (String) —

    Filters returned recipes by domain for a Domain dataset group. Only recipes (Domain dataset group use cases) for this domain are included in the response. If you don’t specify a domain, all recipes are returned.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4136

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

#list_recommenders(params = {}) ⇒ Types::ListRecommendersResponse

Returns a list of recommenders in a given Domain dataset group. When a Domain dataset group is not specified, all the recommenders associated with the account are listed. The response provides the properties for each recommender, including the Amazon Resource Name (ARN). For more information on recommenders, see [CreateRecommender].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateRecommender.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_recommenders({
  dataset_group_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.recommenders #=> Array
resp.recommenders[0].name #=> String
resp.recommenders[0].recommender_arn #=> String
resp.recommenders[0].dataset_group_arn #=> String
resp.recommenders[0].recipe_arn #=> String
resp.recommenders[0].recommender_config.item_exploration_config #=> Hash
resp.recommenders[0].recommender_config.item_exploration_config["ParameterName"] #=> String
resp.recommenders[0].recommender_config.min_recommendation_requests_per_second #=> Integer
resp.recommenders[0].recommender_config.training_data_config.excluded_dataset_columns #=> Hash
resp.recommenders[0].recommender_config.training_data_config.excluded_dataset_columns["DatasetType"] #=> Array
resp.recommenders[0].recommender_config.training_data_config.excluded_dataset_columns["DatasetType"][0] #=> String
resp.recommenders[0].recommender_config.enable_metadata_with_recommendations #=> Boolean
resp.recommenders[0].status #=> String
resp.recommenders[0].creation_date_time #=> Time
resp.recommenders[0].last_updated_date_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_group_arn (String) —

    The Amazon Resource Name (ARN) of the Domain dataset group to list the recommenders for. When a Domain dataset group is not specified, all the recommenders associated with the account are listed.

  • :next_token (String) —

    A token returned from the previous call to ‘ListRecommenders` for getting the next set of recommenders (if they exist).

  • :max_results (Integer) —

    The maximum number of recommenders to return.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4201

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

#list_schemas(params = {}) ⇒ Types::ListSchemasResponse

Returns the list of schemas associated with the account. The response provides the properties for each schema, including the Amazon Resource Name (ARN). For more information on schemas, see [CreateSchema].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateSchema.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_schemas({
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.schemas #=> Array
resp.schemas[0].name #=> String
resp.schemas[0].schema_arn #=> String
resp.schemas[0].creation_date_time #=> Time
resp.schemas[0].last_updated_date_time #=> Time
resp.schemas[0].domain #=> String, one of "ECOMMERCE", "VIDEO_ON_DEMAND"
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :next_token (String) —

    A token returned from the previous call to ‘ListSchemas` for getting the next set of schemas (if they exist).

  • :max_results (Integer) —

    The maximum number of schemas to return.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4249

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

#list_solution_versions(params = {}) ⇒ Types::ListSolutionVersionsResponse

Returns a list of solution versions for the given solution. When a solution is not specified, all the solution versions associated with the account are listed. The response provides the properties for each solution version, including the Amazon Resource Name (ARN).

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_solution_versions({
  solution_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.solution_versions #=> Array
resp.solution_versions[0].solution_version_arn #=> String
resp.solution_versions[0].status #=> String
resp.solution_versions[0].training_mode #=> String, one of "FULL", "UPDATE", "AUTOTRAIN"
resp.solution_versions[0].training_type #=> String, one of "AUTOMATIC", "MANUAL"
resp.solution_versions[0].creation_date_time #=> Time
resp.solution_versions[0].last_updated_date_time #=> Time
resp.solution_versions[0].failure_reason #=> String
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :solution_arn (String) —

    The Amazon Resource Name (ARN) of the solution.

  • :next_token (String) —

    A token returned from the previous call to ‘ListSolutionVersions` for getting the next set of solution versions (if they exist).

  • :max_results (Integer) —

    The maximum number of solution versions to return.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4300

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

#list_solutions(params = {}) ⇒ Types::ListSolutionsResponse

Returns a list of solutions in a given dataset group. When a dataset group is not specified, all the solutions associated with the account are listed. The response provides the properties for each solution, including the Amazon Resource Name (ARN). For more information on solutions, see [CreateSolution].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_CreateSolution.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_solutions({
  dataset_group_arn: "Arn",
  next_token: "NextToken",
  max_results: 1,
})

Response structure


resp.solutions #=> Array
resp.solutions[0].name #=> String
resp.solutions[0].solution_arn #=> String
resp.solutions[0].status #=> String
resp.solutions[0].creation_date_time #=> Time
resp.solutions[0].last_updated_date_time #=> Time
resp.solutions[0].recipe_arn #=> String
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_group_arn (String) —

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

  • :next_token (String) —

    A token returned from the previous call to ‘ListSolutions` for getting the next set of solutions (if they exist).

  • :max_results (Integer) —

    The maximum number of solutions to return.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4355

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

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

Get a list of [tags] attached to a resource.

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

Examples:

Request syntax with placeholder values


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

Response structure


resp.tags #=> Array
resp.tags[0].tag_key #=> String
resp.tags[0].tag_value #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :resource_arn (required, String) —

    The resource’s Amazon Resource Name (ARN).

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4389

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

#start_recommender(params = {}) ⇒ Types::StartRecommenderResponse

Starts a recommender that is INACTIVE. Starting a recommender does not create any new models, but resumes billing and automatic retraining for the recommender.

Examples:

Request syntax with placeholder values


resp = client.start_recommender({
  recommender_arn: "Arn", # required
})

Response structure


resp.recommender_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :recommender_arn (required, String) —

    The Amazon Resource Name (ARN) of the recommender to start.

Returns:

See Also:



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

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

#stop_recommender(params = {}) ⇒ Types::StopRecommenderResponse

Stops a recommender that is ACTIVE. Stopping a recommender halts billing and automatic retraining for the recommender.

Examples:

Request syntax with placeholder values


resp = client.stop_recommender({
  recommender_arn: "Arn", # required
})

Response structure


resp.recommender_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :recommender_arn (required, String) —

    The Amazon Resource Name (ARN) of the recommender to stop.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4448

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

#stop_solution_version_creation(params = {}) ⇒ Struct

Stops creating a solution version that is in a state of CREATE_PENDING or CREATE IN_PROGRESS.

Depending on the current state of the solution version, the solution version state changes as follows:

  • CREATE_PENDING &gt; CREATE_STOPPED

    or

  • CREATE_IN_PROGRESS &gt; CREATE_STOPPING &gt; CREATE_STOPPED

You are billed for all of the training completed up until you stop the solution version creation. You cannot resume creating a solution version once it has been stopped.

Examples:

Request syntax with placeholder values


resp = client.stop_solution_version_creation({
  solution_version_arn: "Arn", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :solution_version_arn (required, String) —

    The Amazon Resource Name (ARN) of the solution version you want to stop creating.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4485

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

#tag_resource(params = {}) ⇒ Struct

Add a list of tags to a resource.

Examples:

Request syntax with placeholder values


resp = client.tag_resource({
  resource_arn: "Arn", # required
  tags: [ # required
    {
      tag_key: "TagKey", # required
      tag_value: "TagValue", # required
    },
  ],
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4521

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

#untag_resource(params = {}) ⇒ Struct

Removes the specified tags that are attached to a resource. For more information, see [Removing tags from Amazon Personalize resources].

[1]: docs.aws.amazon.com/personalize/latest/dg/tags-remove.html

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 resource’s Amazon Resource Name (ARN).

  • :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-personalize/client.rb', line 4552

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

#update_campaign(params = {}) ⇒ Types::UpdateCampaignResponse

Updates a campaign to deploy a retrained solution version with an existing campaign, change your campaign’s ‘minProvisionedTPS`, or modify your campaign’s configuration. For example, you can set ‘enableMetadataWithRecommendations` to true for an existing campaign.

To update a campaign to start automatically using the latest solution version, specify the following:

  • For the ‘SolutionVersionArn` parameter, specify the Amazon Resource Name (ARN) of your solution in `SolutionArn/$LATEST` format.

  • In the ‘campaignConfig`, set `syncWithLatestSolutionVersion` to `true`.

To update a campaign, the campaign status must be ACTIVE or CREATE FAILED. Check the campaign status using the [DescribeCampaign] operation.

<note markdown=“1”> You can still get recommendations from a campaign while an update is in progress. The campaign will use the previous solution version and campaign configuration to generate recommendations until the latest campaign update status is ‘Active`.

</note>

For more information about updating a campaign, including code samples, see [Updating a campaign]. For more information about campaigns, see [Creating a campaign].

[1]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeCampaign.html [2]: docs.aws.amazon.com/personalize/latest/dg/update-campaigns.html [3]: docs.aws.amazon.com/personalize/latest/dg/campaigns.html

Examples:

Request syntax with placeholder values


resp = client.update_campaign({
  campaign_arn: "Arn", # required
  solution_version_arn: "Arn",
  min_provisioned_tps: 1,
  campaign_config: {
    item_exploration_config: {
      "ParameterName" => "ParameterValue",
    },
    enable_metadata_with_recommendations: false,
    sync_with_latest_solution_version: false,
  },
})

Response structure


resp.campaign_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :campaign_arn (required, String) —

    The Amazon Resource Name (ARN) of the campaign.

  • :solution_version_arn (String) —

    The Amazon Resource Name (ARN) of a new model to deploy. To specify the latest solution version of your solution, specify the ARN of your solution in ‘SolutionArn/$LATEST` format. You must use this format if you set `syncWithLatestSolutionVersion` to `True` in the [CampaignConfig].

    To deploy a model that isn’t the latest solution version of your solution, specify the ARN of the solution version.

    For more information about automatic campaign updates, see [Enabling automatic campaign updates].

    [1]: docs.aws.amazon.com/personalize/latest/dg/API_CampaignConfig.html [2]: docs.aws.amazon.com/personalize/latest/dg/campaigns.html#create-campaign-automatic-latest-sv-update

  • :min_provisioned_tps (Integer) —

    Specifies the requested minimum provisioned transactions (recommendations) per second that Amazon Personalize will support. A high ‘minProvisionedTPS` will increase your bill. We recommend starting with 1 for `minProvisionedTPS` (the default). Track your usage using Amazon CloudWatch metrics, and increase the `minProvisionedTPS` as necessary.

  • :campaign_config (Types::CampaignConfig) —

    The configuration details of a campaign.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4651

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

#update_dataset(params = {}) ⇒ Types::UpdateDatasetResponse

Update a dataset to replace its schema with a new or existing one. For more information, see [Replacing a dataset’s schema].

[1]: docs.aws.amazon.com/personalize/latest/dg/updating-dataset-schema.html

Examples:

Request syntax with placeholder values


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

Response structure


resp.dataset_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :dataset_arn (required, String) —

    The Amazon Resource Name (ARN) of the dataset that you want to update.

  • :schema_arn (required, String) —

    The Amazon Resource Name (ARN) of the new schema you want use.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4688

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

#update_metric_attribution(params = {}) ⇒ Types::UpdateMetricAttributionResponse

Updates a metric attribution.

Examples:

Request syntax with placeholder values


resp = client.update_metric_attribution({
  add_metrics: [
    {
      event_type: "EventType", # required
      metric_name: "MetricName", # required
      expression: "MetricExpression", # required
    },
  ],
  remove_metrics: ["MetricName"],
  metrics_output_config: {
    s3_data_destination: {
      path: "S3Location", # required
      kms_key_arn: "KmsKeyArn",
    },
    role_arn: "RoleArn", # required
  },
  metric_attribution_arn: "Arn",
})

Response structure


resp.metric_attribution_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :add_metrics (Array<Types::MetricAttribute>) —

    Add new metric attributes to the metric attribution.

  • :remove_metrics (Array<String>) —

    Remove metric attributes from the metric attribution.

  • :metrics_output_config (Types::MetricAttributionOutput) —

    An output config for the metric attribution.

  • :metric_attribution_arn (String) —

    The Amazon Resource Name (ARN) for the metric attribution to update.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4740

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

#update_recommender(params = {}) ⇒ Types::UpdateRecommenderResponse

Updates the recommender to modify the recommender configuration. If you update the recommender to modify the columns used in training, Amazon Personalize automatically starts a full retraining of the models backing your recommender. While the update completes, you can still get recommendations from the recommender. The recommender uses the previous configuration until the update completes. To track the status of this update, use the ‘latestRecommenderUpdate` returned in the [DescribeRecommender] operation.

[1]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeRecommender.html

Examples:

Request syntax with placeholder values


resp = client.update_recommender({
  recommender_arn: "Arn", # required
  recommender_config: { # required
    item_exploration_config: {
      "ParameterName" => "ParameterValue",
    },
    min_recommendation_requests_per_second: 1,
    training_data_config: {
      excluded_dataset_columns: {
        "DatasetType" => ["ColumnName"],
      },
    },
    enable_metadata_with_recommendations: false,
  },
})

Response structure


resp.recommender_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :recommender_arn (required, String) —

    The Amazon Resource Name (ARN) of the recommender to modify.

  • :recommender_config (required, Types::RecommenderConfig) —

    The configuration details of the recommender.

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4794

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

#update_solution(params = {}) ⇒ Types::UpdateSolutionResponse

Updates an Amazon Personalize solution to use a different automatic training configuration. When you update a solution, you can change whether the solution uses automatic training, and you can change the training frequency. For more information about updating a solution, see [Updating a solution].

A solution update can be in one of the following states:

CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED

To get the status of a solution update, call the [DescribeSolution] API operation and find the status in the ‘latestSolutionUpdate`.

[1]: docs.aws.amazon.com/personalize/latest/dg/updating-solution.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolution.html

Examples:

Request syntax with placeholder values


resp = client.update_solution({
  solution_arn: "Arn", # required
  perform_auto_training: false,
  solution_update_config: {
    auto_training_config: {
      scheduling_expression: "SchedulingExpression",
    },
  },
})

Response structure


resp.solution_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

Returns:

See Also:



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# File 'lib/aws-sdk-personalize/client.rb', line 4869

def update_solution(params = {}, options = {})
  req = build_request(:update_solution, 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-personalize/client.rb', line 4898

def waiter_names
  []
end