Class EvalCaseMetricResult (1.129.0)

Version latest

• 1.122.0 (latest)
• 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

EvalCaseMetricResult(
    *,
    metricName: typing.Optional[str] = None,
    score: typing.Optional[float] = None,
    explanation: typing.Optional[str] = None,
    rubricVerdicts: typing.Optional[
        list[vertexai._genai.types.evals.RubricVerdict]
    ] = None,
    rawOutput: typing.Optional[list[str]] = None,
    errorMessage: typing.Optional[str] = None
)

Evaluation result for a single evaluation case for a single metric.

Methods

EvalCaseMetricResult

EvalCaseMetricResult(
    *,
    metricName: typing.Optional[str] = None,
    score: typing.Optional[float] = None,
    explanation: typing.Optional[str] = None,
    rubricVerdicts: typing.Optional[
        list[vertexai._genai.types.evals.RubricVerdict]
    ] = None,
    rawOutput: typing.Optional[list[str]] = None,
    errorMessage: typing.Optional[str] = None
)

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.