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CandidateArtifactLocations

Source code in docs_src/capo_sagemaker/types/candidate_artifact_locations.py 
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class CandidateArtifactLocations(TypedDict, closed=True):
    explainability: NotRequired[
        "capo_sagemaker.types.explainability_location.ExplainabilityLocation"
    ]
    """<p>The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.</p>"""
    model_insights: NotRequired[
        "capo_sagemaker.types.model_insights_location.ModelInsightsLocation"
    ]
    """<p>The Amazon S3 prefix to the model insight artifacts generated for the AutoML candidate.</p>"""
    backtest_results: NotRequired[
        "capo_sagemaker.types.backtest_results_location.BacktestResultsLocation"
    ]
    """<p>The Amazon S3 prefix to the accuracy metrics and the inference results observed over the testing window. Available only for the time-series forecasting problem type.</p>"""

backtest_results instance-attribute 

backtest_results: NotRequired[BacktestResultsLocation]

The Amazon S3 prefix to the accuracy metrics and the inference results observed over the testing window. Available only for the time-series forecasting problem type.

explainability instance-attribute 

explainability: NotRequired[ExplainabilityLocation]

The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.

model_insights instance-attribute 

model_insights: NotRequired[ModelInsightsLocation]

The Amazon S3 prefix to the model insight artifacts generated for the AutoML candidate.