Class AggregatedMetricResult (1.129.0)

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AggregatedMetricResult(
    *,
    metricName: typing.Optional[str] = None,
    numCasesTotal: typing.Optional[int] = None,
    numCasesValid: typing.Optional[int] = None,
    numCasesError: typing.Optional[int] = None,
    meanScore: typing.Optional[float] = None,
    stdevScore: typing.Optional[float] = None,
    passRate: typing.Optional[float] = None,
    **extra_data: typing.Any
)

Evaluation result for a single metric for an evaluation dataset.

Methods

AggregatedMetricResult

AggregatedMetricResult(
    *,
    metricName: typing.Optional[str] = None,
    numCasesTotal: typing.Optional[int] = None,
    numCasesValid: typing.Optional[int] = None,
    numCasesError: typing.Optional[int] = None,
    meanScore: typing.Optional[float] = None,
    stdevScore: typing.Optional[float] = None,
    passRate: typing.Optional[float] = None,
    **extra_data: typing.Any
)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.