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Class: Aws::Personalize::Types::SolutionConfig

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing SolutionConfig as input to an Aws::Client method, you can use a vanilla Hash:

{
  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"],
  },
}

Describes the configuration properties for the solution.

Returned by:

See Also:

Instance Attribute Summary collapse

Instance Attribute Details

#algorithm_hyper_parameters ⇒ Hash<String,String>

Lists the hyperparameter names and ranges.

Returns:

  • (Hash<String,String>) —

    Lists the hyperparameter names and ranges.

#auto_ml_config ⇒ Types::AutoMLConfig

The AutoMLConfig object containing a list of recipes to search when AutoML is performed.

Returns:

#event_value_threshold ⇒ String

Only events with a value greater than or equal to this threshold are used for training a model.

Returns:

  • (String) —

    Only events with a value greater than or equal to this threshold are used for training a model.

#feature_transformation_parameters ⇒ Hash<String,String>

Lists the feature transformation parameters.

Returns:

  • (Hash<String,String>) —

    Lists the feature transformation parameters.

#hpo_config ⇒ Types::HPOConfig

Describes the properties for hyperparameter optimization (HPO).

Returns:

  • (Types::HPOConfig) —

    Describes the properties for hyperparameter optimization (HPO).