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언제든지 연락주시기 바랍니다.aws_personalize_solution
account_id
Type: STRING
auto_ml_result
Type: STRUCT
Provider name: autoMLResult
Description: When performAutoML is true, specifies the best recipe found.
best_recipe_arn
Type: STRING
Provider name: bestRecipeArn
Description: The Amazon Resource Name (ARN) of the best recipe.
creation_date_time
Type: TIMESTAMP
Provider name: creationDateTime
Description: The creation date and time (in Unix time) of the solution.
dataset_group_arn
Type: STRING
Provider name: datasetGroupArn
Description: The Amazon Resource Name (ARN) of the dataset group that provides the training data.
event_type
Type: STRING
Provider name: eventType
Description: The event type (for example, ‘click’ or ’like’) that is used for training the model. If no eventType is provided, Amazon Personalize uses all interactions for training with equal weight regardless of type.
last_updated_date_time
Type: TIMESTAMP
Provider name: lastUpdatedDateTime
Description: The date and time (in Unix time) that the solution was last updated.
latest_solution_update
Type: STRUCT
Provider name: latestSolutionUpdate
Description: Provides a summary of the latest updates to the solution.
creation_date_time
Type: TIMESTAMP
Provider name: creationDateTime
Description: The date and time (in Unix format) that the solution update was created.
failure_reason
Type: STRING
Provider name: failureReason
Description: If a solution update fails, the reason behind the failure.
last_updated_date_time
Type: TIMESTAMP
Provider name: lastUpdatedDateTime
Description: The date and time (in Unix time) that the solution update was last updated.
perform_auto_training
Type: BOOLEAN
Provider name: performAutoTraining
Description: Whether the solution automatically creates solution versions.
solution_update_config
Type: STRUCT
Provider name: solutionUpdateConfig
Description: The configuration details of the solution.
auto_training_config
Type: STRUCT
Provider name: autoTrainingConfig
scheduling_expression
Type: STRING
Provider name: schedulingExpression
Description: Specifies how often to automatically train new solution versions. Specify a rate expression in rate(value unit) format. For value, specify a number between 1 and 30. For unit, specify day or days. For example, to automatically create a new solution version every 5 days, specify rate(5 days). The default is every 7 days. For more information about auto training, see Creating and configuring a solution.
events_config
Type: STRUCT
Provider name: eventsConfig
Description: Describes the configuration of an event, which includes a list of event parameters. You can specify up to 10 event parameters. Events are used in solution creation.
event_parameters_list
Type: UNORDERED_LIST_STRUCT
Provider name: eventParametersList
Description: A list of event parameters, which includes event types and their event value thresholds and weights.
event_type
Type: STRING
Provider name: eventType
Description: The name of the event type to be considered for solution creation.
event_value_threshold
Type: DOUBLE
Provider name: eventValueThreshold
Description: The threshold of the event type. Only events with a value greater or equal to this threshold will be considered for solution creation.
weight
Type: DOUBLE
Provider name: weight
Description: The weight of the event type. A higher weight means higher importance of the event type for the created solution.
status
Type: STRING
Provider name: status
Description: The status of the solution update. A solution update can be in one of the following states: CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
latest_solution_version
Type: STRUCT
Provider name: latestSolutionVersion
Description: Describes the latest version of the solution, including the status and the ARN.
creation_date_time
Type: TIMESTAMP
Provider name: creationDateTime
Description: The date and time (in Unix time) that this version of a solution was created.
failure_reason
Type: STRING
Provider name: failureReason
Description: If a solution version fails, the reason behind the failure.
last_updated_date_time
Type: TIMESTAMP
Provider name: lastUpdatedDateTime
Description: The date and time (in Unix time) that the solution version was last updated.
solution_version_arn
Type: STRING
Provider name: solutionVersionArn
Description: The Amazon Resource Name (ARN) of the solution version.
status
Type: STRING
Provider name: status
Description: The status of the solution version. A solution version can be in one of the following states:- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
training_mode
Type: STRING
Provider name: trainingMode
Description: The scope of training to be performed when creating the solution version. A FULL training considers all of the data in your dataset group. An UPDATE processes only the data that has changed since the latest training. Only solution versions created with the User-Personalization recipe can use UPDATE.
training_type
Type: STRING
Provider name: trainingType
Description: Whether the solution version was created automatically or manually.
name
Type: STRING
Provider name: name
Description: The name of the solution.
Type: BOOLEAN
Provider name: performAutoML
Description: We don’t recommend enabling automated machine learning. Instead, match your use case to the available Amazon Personalize recipes. For more information, see Determining your use case. When true, Amazon Personalize performs a search for the best USER_PERSONALIZATION recipe from the list specified in the solution configuration (recipeArn must not be specified). When false (the default), Amazon Personalize uses recipeArn for training.
Type: BOOLEAN
Provider name: performAutoTraining
Description: Specifies whether the solution automatically creates solution versions. The default is True and the solution automatically creates new solution versions every 7 days. For more information about auto training, see Creating and configuring a solution.
Type: BOOLEAN
Provider name: performHPO
Description: Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
recipe_arn
Type: STRING
Provider name: recipeArn
Description: The ARN of the recipe used to create the solution. This is required when performAutoML is false.
solution_arn
Type: STRING
Provider name: solutionArn
Description: The ARN of the solution.
solution_config
Type: STRUCT
Provider name: solutionConfig
Description: Describes the configuration properties for the solution.
algorithm_hyper_parameters
Type: MAP_STRING_STRING
Provider name: algorithmHyperParameters
Description: Lists the algorithm hyperparameters and their values.
auto_ml_config
Type: STRUCT
Provider name: autoMLConfig
Description: The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
metric_name
Type: STRING
Provider name: metricName
Description: The metric to optimize.
recipe_list
Type: UNORDERED_LIST_STRING
Provider name: recipeList
Description: The list of candidate recipes.
auto_training_config
Type: STRUCT
Provider name: autoTrainingConfig
Description: Specifies the automatic training configuration to use.
scheduling_expression
Type: STRING
Provider name: schedulingExpression
Description: Specifies how often to automatically train new solution versions. Specify a rate expression in rate(value unit) format. For value, specify a number between 1 and 30. For unit, specify day or days. For example, to automatically create a new solution version every 5 days, specify rate(5 days). The default is every 7 days. For more information about auto training, see Creating and configuring a solution.
event_value_threshold
Type: STRING
Provider name: eventValueThreshold
Description: Only events with a value greater than or equal to this threshold are used for training a model.
events_config
Type: STRUCT
Provider name: eventsConfig
Description: Describes the configuration of an event, which includes a list of event parameters. You can specify up to 10 event parameters. Events are used in solution creation.
event_parameters_list
Type: UNORDERED_LIST_STRUCT
Provider name: eventParametersList
Description: A list of event parameters, which includes event types and their event value thresholds and weights.
event_type
Type: STRING
Provider name: eventType
Description: The name of the event type to be considered for solution creation.
event_value_threshold
Type: DOUBLE
Provider name: eventValueThreshold
Description: The threshold of the event type. Only events with a value greater or equal to this threshold will be considered for solution creation.
weight
Type: DOUBLE
Provider name: weight
Description: The weight of the event type. A higher weight means higher importance of the event type for the created solution.
feature_transformation_parameters
Type: MAP_STRING_STRING
Provider name: featureTransformationParameters
Description: Lists the feature transformation parameters.
hpo_config
Type: STRUCT
Provider name: hpoConfig
Description: Describes the properties for hyperparameter optimization (HPO).
algorithm_hyper_parameter_ranges
Type: STRUCT
Provider name: algorithmHyperParameterRanges
Description: The hyperparameters and their allowable ranges.
categorical_hyper_parameter_ranges
Type: UNORDERED_LIST_STRUCT
Provider name: categoricalHyperParameterRanges
Description: The categorical hyperparameters and their ranges.
name
Type: STRING
Provider name: name
Description: The name of the hyperparameter.
values
Type: UNORDERED_LIST_STRING
Provider name: values
Description: A list of the categories for the hyperparameter.
continuous_hyper_parameter_ranges
Type: UNORDERED_LIST_STRUCT
Provider name: continuousHyperParameterRanges
Description: The continuous hyperparameters and their ranges.
max_value
Type: DOUBLE
Provider name: maxValue
Description: The maximum allowable value for the hyperparameter.
min_value
Type: DOUBLE
Provider name: minValue
Description: The minimum allowable value for the hyperparameter.
name
Type: STRING
Provider name: name
Description: The name of the hyperparameter.
integer_hyper_parameter_ranges
Type: UNORDERED_LIST_STRUCT
Provider name: integerHyperParameterRanges
Description: The integer-valued hyperparameters and their ranges.
max_value
Type: INT32
Provider name: maxValue
Description: The maximum allowable value for the hyperparameter.
min_value
Type: INT32
Provider name: minValue
Description: The minimum allowable value for the hyperparameter.
name
Type: STRING
Provider name: name
Description: The name of the hyperparameter.
hpo_objective
Type: STRUCT
Provider name: hpoObjective
Description: The metric to optimize during HPO. Amazon Personalize doesn’t support configuring the hpoObjective at this time.
metric_name
Type: STRING
Provider name: metricName
Description: The name of the metric.
metric_regex
Type: STRING
Provider name: metricRegex
Description: A regular expression for finding the metric in the training job logs.
type
Type: STRING
Provider name: type
Description: The type of the metric. Valid values are Maximize and Minimize.
hpo_resource_config
Type: STRUCT
Provider name: hpoResourceConfig
Description: Describes the resource configuration for HPO.
max_number_of_training_jobs
Type: STRING
Provider name: maxNumberOfTrainingJobs
Description: The maximum number of training jobs when you create a solution version. The maximum value for maxNumberOfTrainingJobs is 40.
max_parallel_training_jobs
Type: STRING
Provider name: maxParallelTrainingJobs
Description: The maximum number of parallel training jobs when you create a solution version. The maximum value for maxParallelTrainingJobs is 10.
optimization_objective
Type: STRUCT
Provider name: optimizationObjective
Description: Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.
item_attribute
Type: STRING
Provider name: itemAttribute
Description: The numerical metadata column in an Items dataset related to the optimization objective. For example, VIDEO_LENGTH (to maximize streaming minutes), or PRICE (to maximize revenue).
objective_sensitivity
Type: STRING
Provider name: objectiveSensitivity
Description: Specifies how Amazon Personalize balances the importance of your optimization objective versus relevance.
training_data_config
Type: STRUCT
Provider name: trainingDataConfig
Description: Specifies the training data configuration to use when creating a custom solution version (trained model).
excluded_dataset_columns
Type: STRING
Provider name: excludedDatasetColumns
Description: Specifies the columns to exclude from training. Each key is a dataset type, and each value is a list of columns. Exclude columns to control what data Amazon Personalize uses to generate recommendations. For example, you might have a column that you want to use only to filter recommendations. You can exclude this column from training and Amazon Personalize considers it only when filtering.
status
Type: STRING
Provider name: status
Description: The status of the solution. A solution can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
Type: UNORDERED_LIST_STRING
