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Update packages/bigframes/bigframes/bigquery/_operations/ai.py
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
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packages/bigframes/bigframes/bigquery/_operations/ai.py

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@@ -970,7 +970,7 @@ def score(
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endpoint (str, optional):
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Specifies the Vertex AI endpoint to use for the model. For example `"gemini-2.5-flash"`. You can specify any
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generally available or preview Gemini model. If you specify the model name, BigQuery ML automatically identifies and
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uses the full endpoint of the model. If you don't specify an ENDPOINT value, BigQuery ML dynamically chooses a model
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uses the full endpoint of the model. If you don't specify an endpoint value, BigQuery ML dynamically chooses a model
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based on your query to have the best cost to quality tradeoff for the task.
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max_error_ratio (float, optional):
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A value between `0.0` and `1.0` that contains the maximum acceptable ratio of row-level inference failures to

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