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UpdateSolutionRequest

Source code in docs_src/capo_personalize/types/update_solution_request.py 
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class UpdateSolutionRequest(TypedDict, closed=True):
    solution_arn: "capo_personalize.types.arn.Arn"
    """<p>The Amazon Resource Name (ARN) of the solution to update.</p>"""
    perform_auto_training: NotRequired[
        "capo_personalize.types.perform_auto_training.PerformAutoTraining"
    ]
    """<p>Whether the solution uses automatic training to create new solution versions (trained models). You can change the training frequency by specifying a <code>schedulingExpression</code> in the <code>AutoTrainingConfig</code> as part of solution configuration. </p> <p> If you turn on automatic training, the first automatic training starts within one hour after the solution update completes. If you manually create a solution version within the hour, the solution skips the first automatic training. For more information about automatic training, see <a href="https://docs.aws.amazon.com/personalize/latest/dg/solution-config-auto-training.html">Configuring automatic training</a>. </p> <p> After training starts, you can get the solution version's Amazon Resource Name (ARN) with the <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_ListSolutionVersions.html">ListSolutionVersions</a> API operation. To get its status, use the <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolutionVersion.html">DescribeSolutionVersion</a>. </p>"""
    perform_incremental_update: NotRequired[
        "capo_personalize.types.perform_incremental_update.PerformIncrementalUpdate"
    ]
    """<p>Whether to perform incremental training updates on your model. When enabled, this allows the model to learn from new data more frequently without requiring full retraining, which enables near real-time personalization. This parameter is supported only for solutions that use the semantic-similarity recipe.</p>"""
    solution_update_config: NotRequired[
        "capo_personalize.types.solution_update_config.SolutionUpdateConfig"
    ]
    """<p>The new configuration details of the solution.</p>"""

perform_auto_training instance-attribute 

perform_auto_training: NotRequired[PerformAutoTraining]

Whether the solution uses automatic training to create new solution versions (trained models). You can change the training frequency by specifying a schedulingExpression in the AutoTrainingConfig as part of solution configuration.

If you turn on automatic training, the first automatic training starts within one hour after the solution update completes. If you manually create a solution version within the hour, the solution skips the first automatic training. For more information about automatic training, see Configuring 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.

perform_incremental_update instance-attribute 

perform_incremental_update: NotRequired[PerformIncrementalUpdate]

Whether to perform incremental training updates on your model. When enabled, this allows the model to learn from new data more frequently without requiring full retraining, which enables near real-time personalization. This parameter is supported only for solutions that use the semantic-similarity recipe.

solution_arn instance-attribute 

solution_arn: Arn

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

solution_update_config instance-attribute 

solution_update_config: NotRequired[SolutionUpdateConfig]

The new configuration details of the solution.