Class EvaluationRunConfig (1.154.0) 

EvaluationRunConfig(
    *,
    metrics: typing.Optional[
        list[vertexai._genai.types.common.EvaluationRunMetric]
    ] = None,
    outputConfig: typing.Optional[google.genai.types.OutputConfig] = None,
    autoraterConfig: typing.Optional[google.genai.types.AutoraterConfig] = None,
    promptTemplate: typing.Optional[
        vertexai._genai.types.common.EvaluationRunPromptTemplate
    ] = None,
    lossAnalysisConfig: typing.Optional[
        list[vertexai._genai.types.common.LossAnalysisConfig]
    ] = None,
    allowCrossRegionModel: typing.Optional[bool] = None
)

The evaluation configuration used for the evaluation run.

Methods

EvaluationRunConfig

EvaluationRunConfig(
    *,
    metrics: typing.Optional[
        list[vertexai._genai.types.common.EvaluationRunMetric]
    ] = None,
    outputConfig: typing.Optional[google.genai.types.OutputConfig] = None,
    autoraterConfig: typing.Optional[google.genai.types.AutoraterConfig] = None,
    promptTemplate: typing.Optional[
        vertexai._genai.types.common.EvaluationRunPromptTemplate
    ] = None,
    lossAnalysisConfig: typing.Optional[
        list[vertexai._genai.types.common.LossAnalysisConfig]
    ] = None,
    allowCrossRegionModel: typing.Optional[bool] = 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.