Class EvalResult (1.153.1)

1.153.1 (latest) 1.153.0 1.152.0 1.151.0 1.150.0 1.149.0 1.148.1 1.147.0 1.146.0 1.145.0 1.144.0 1.143.0 1.142.0 1.141.0 1.140.0 1.139.0 1.138.0 1.137.0 1.136.0 1.135.0 1.134.0 1.133.0 1.132.0 1.131.0 1.130.0 1.129.0 1.122.0 1.121.0 1.120.0 1.119.0 1.118.0 1.117.0 1.95.1 1.94.0 1.93.1 1.92.0 1.91.0 1.90.0 1.89.0 1.88.0 1.87.0 1.86.0 1.85.0 1.84.0 1.83.0 1.82.0 1.81.0 1.80.0 1.79.0 1.78.0 1.77.0 1.76.0 1.75.0 1.74.0 1.73.0 1.72.0 1.71.1 1.70.0 1.69.0 1.68.0 1.67.1 1.66.0 1.65.0 1.63.0 1.62.0 1.60.0 1.59.0

EvalResult(
    summary_metrics: typing.Dict[str, float],
    metrics_table: typing.Optional[pd.DataFrame] = None,
    metadata: typing.Optional[typing.Dict[str, str]] = None,
)

Evaluation result.

Attributes
Name	Description
summary_metrics	Dict[str, float] A dictionary of summary evaluation metrics for an evaluation run.
metrics_table	Optional[pd.DataFrame] A pandas.DataFrame table containing evaluation dataset inputs, predictions, explanations, and metric results per row.
metadata	Optional[Dict[str, str]] The metadata for the evaluation run.