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GetAccuracyMetricsResponse

Source code in docs_src/capo_forecast/types/get_accuracy_metrics_response.py
class GetAccuracyMetricsResponse(TypedDict, closed=True):
    predictor_evaluation_results: NotRequired[
        "capo_forecast.types.predictor_evaluation_results.PredictorEvaluationResults"
    ]
    """<p>An array of results from evaluating the predictor.</p>"""
    is_auto_predictor: NotRequired["capo_forecast.types.boolean.Boolean"]
    """<p>Whether the predictor was created with <a>CreateAutoPredictor</a>.</p>"""
    auto_ml_override_strategy: NotRequired[
        "capo_forecast.types.auto_ml_override_strategy.AutoMLOverrideStrategy"
    ]
    """<note> <p> The <code>LatencyOptimized</code> AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges. </p> </note> <p>The AutoML strategy used to train the predictor. Unless <code>LatencyOptimized</code> is specified, the AutoML strategy optimizes predictor accuracy.</p> <p>This parameter is only valid for predictors trained using AutoML.</p>"""
    optimization_metric: NotRequired[
        "capo_forecast.types.optimization_metric.OptimizationMetric"
    ]
    """<p>The accuracy metric used to optimize the predictor.</p>"""

auto_ml_override_strategy instance-attribute

auto_ml_override_strategy: NotRequired[AutoMLOverrideStrategy]

The LatencyOptimized AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

is_auto_predictor instance-attribute

is_auto_predictor: NotRequired[Boolean]

Whether the predictor was created with CreateAutoPredictor.

optimization_metric instance-attribute

optimization_metric: NotRequired[OptimizationMetric]

The accuracy metric used to optimize the predictor.

predictor_evaluation_results instance-attribute

predictor_evaluation_results: NotRequired[PredictorEvaluationResults]

An array of results from evaluating the predictor.