Package software.amazon.awssdk.services.personalize.model

Interface CreateSolutionVersionRequest.Builder

All Superinterfaces:
AwsRequest.Builder, Buildable, CopyableBuilder<CreateSolutionVersionRequest.Builder,CreateSolutionVersionRequest>, PersonalizeRequest.Builder, SdkBuilder<CreateSolutionVersionRequest.Builder,CreateSolutionVersionRequest>, SdkPojo, SdkRequest.Builder
Enclosing class:
CreateSolutionVersionRequest
public static interface CreateSolutionVersionRequest.Builder extends PersonalizeRequest.Builder, SdkPojo, CopyableBuilder<CreateSolutionVersionRequest.Builder,CreateSolutionVersionRequest>

  • Method Details

    • name

      CreateSolutionVersionRequest.Builder name(String name)

      The name of the solution version.

      Parameters:
      name - The name of the solution version.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • solutionArn

      CreateSolutionVersionRequest.Builder solutionArn(String solutionArn)

      The Amazon Resource Name (ARN) of the solution containing the training configuration information.

      Parameters:
      solutionArn - The Amazon Resource Name (ARN) of the solution containing the training configuration information.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • trainingMode

      CreateSolutionVersionRequest.Builder trainingMode(String trainingMode)

      The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

      If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

      The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

      Parameters:
      trainingMode - The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

      If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

      The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • trainingMode

      CreateSolutionVersionRequest.Builder trainingMode(TrainingMode trainingMode)

      The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

      If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

      The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

      Parameters:
      trainingMode - The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

      If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates.

      The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.

      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • tags

      CreateSolutionVersionRequest.Builder tags(Collection<Tag> tags)

      A list of tags to apply to the solution version.

      Parameters:
      tags - A list of tags to apply to the solution version.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • tags

      CreateSolutionVersionRequest.Builder tags(Tag... tags)

      A list of tags to apply to the solution version.

      Parameters:
      tags - A list of tags to apply to the solution version.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • tags

      CreateSolutionVersionRequest.Builder tags(Consumer<Tag.Builder>... tags)

      A list of tags to apply to the solution version.

      This is a convenience method that creates an instance of the Tag.Builder avoiding the need to create one manually via Tag.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to tags(List<Tag>).

      Parameters:
      tags - a consumer that will call methods on Tag.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • overrideConfiguration

      CreateSolutionVersionRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      overrideConfiguration - The override configuration.
      Returns:
      This object for method chaining.

    • overrideConfiguration

      CreateSolutionVersionRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      builderConsumer - A Consumer to which an empty AwsRequestOverrideConfiguration.Builder will be given.
      Returns:
      This object for method chaining.