Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window. Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.

Class EvalResult (1.66.0)

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]` The summary evaluation metrics for an evaluation run.
`metrics_table`	`Optional[pd.DataFrame]` A table containing eval inputs, ground truth, and metric results per row.
`metadata`	`Optional[Dict[str, str]]` The metadata for the evaluation run.

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Last updated 2024-09-11 UTC.

Class EvalResult (1.66.0)

Attributes