CfnSolutionProps

class aws_cdk.aws_personalize.CfnSolutionProps(*, dataset_group_arn, name, event_type=None, perform_auto_ml=None, perform_hpo=None, recipe_arn=None, solution_config=None)

Bases: object

Properties for defining a CfnSolution.

Parameters:

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

• name (str) – The name of the solution.

• event_type (Optional[str]) – 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.

• perform_auto_ml (Union[bool, IResolvable, None]) –

  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.

• perform_hpo (Union[bool, IResolvable, None]) – Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false .

• recipe_arn (Optional[str]) – The ARN of the recipe used to create the solution. This is required when performAutoML is false.

• solution_config (Union[IResolvable, SolutionConfigProperty, Dict[str, Any], None]) – Describes the configuration properties for the solution.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-solution.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_personalize as personalize

# auto_ml_config: Any
# hpo_config: Any

cfn_solution_props = personalize.CfnSolutionProps(
    dataset_group_arn="datasetGroupArn",
    name="name",

    # the properties below are optional
    event_type="eventType",
    perform_auto_ml=False,
    perform_hpo=False,
    recipe_arn="recipeArn",
    solution_config=personalize.CfnSolution.SolutionConfigProperty(
        algorithm_hyper_parameters={
            "algorithm_hyper_parameters_key": "algorithmHyperParameters"
        },
        auto_ml_config=auto_ml_config,
        event_value_threshold="eventValueThreshold",
        feature_transformation_parameters={
            "feature_transformation_parameters_key": "featureTransformationParameters"
        },
        hpo_config=hpo_config
    )
)

Attributes

dataset_group_arn

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

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-solution.html#cfn-personalize-solution-datasetgrouparn

event_type

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.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-solution.html#cfn-personalize-solution-eventtype

name

The name of the solution.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-solution.html#cfn-personalize-solution-name

perform_auto_ml

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.

see:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-solution.html#cfn-personalize-solution-performautoml

perform_hpo

Whether to perform hyperparameter optimization (HPO) on the chosen recipe.

The default is false .

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-solution.html#cfn-personalize-solution-performhpo

recipe_arn

The ARN of the recipe used to create the solution.

This is required when performAutoML is false.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-solution.html#cfn-personalize-solution-recipearn

solution_config

Describes the configuration properties for the solution.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-personalize-solution.html#cfn-personalize-solution-solutionconfig