Class LossExample (1.150.0)

1.150.0 (latest) 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

LossExample(
    *,
    evaluationItem: typing.Optional[str] = None,
    evaluationResult: typing.Optional[dict[str, typing.Any]] = None,
    failedRubrics: typing.Optional[
        list[vertexai._genai.types.common.FailedRubric]
    ] = None
)

A specific example of a loss pattern.

Methods

LossExample

LossExample(
    *,
    evaluationItem: typing.Optional[str] = None,
    evaluationResult: typing.Optional[dict[str, typing.Any]] = None,
    failedRubrics: typing.Optional[
        list[vertexai._genai.types.common.FailedRubric]
    ] = 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.