Skip to content

FlywheelModelEvaluationMetrics

Source code in docs_src/capo_comprehend/types/flywheel_model_evaluation_metrics.py
class FlywheelModelEvaluationMetrics(TypedDict, closed=True):
    average_f1_score: NotRequired["capo_comprehend.types.double.Double"]
    """<p>The average F1 score from the evaluation metrics.</p>"""
    average_precision: NotRequired["capo_comprehend.types.double.Double"]
    """<p>Average precision metric for the model.</p>"""
    average_recall: NotRequired["capo_comprehend.types.double.Double"]
    """<p>Average recall metric for the model.</p>"""
    average_accuracy: NotRequired["capo_comprehend.types.double.Double"]
    """<p>Average accuracy metric for the model.</p>"""

average_accuracy instance-attribute

average_accuracy: NotRequired[Double]

Average accuracy metric for the model.

average_f1_score instance-attribute

average_f1_score: NotRequired[Double]

The average F1 score from the evaluation metrics.

average_precision instance-attribute

average_precision: NotRequired[Double]

Average precision metric for the model.

average_recall instance-attribute

average_recall: NotRequired[Double]

Average recall metric for the model.