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This repository was archived by the owner on May 7, 2026. It is now read-only.

Commit 078bd32

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GarrettWuGarrettWu
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docs: fix generate_text and generate_table input docs (#2455)
Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [ ] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-bigquery-dataframes/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [ ] Ensure the tests and linter pass - [ ] Code coverage does not decrease (if any source code was changed) - [ ] Appropriate docs were updated (if necessary) Fixes #<issue_number_goes_here> 🦕
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‎bigframes/bigquery/_operations/ai.py‎

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@@ -522,10 +522,10 @@ def generate_text(
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model (bigframes.ml.base.BaseEstimator or str):
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The model to use for text generation.
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data (bigframes.pandas.DataFrame or bigframes.pandas.Series):
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The data to generate embeddings for. If a Series is provided, it is
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treated as the 'content' column. If a DataFrame is provided, it
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must contain a 'content' column, or you must rename the column you
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wish to embed to 'content'.
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The data to generate text for. If a Series is provided, it is
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treated as the 'prompt' column. If a DataFrame is provided, it
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must contain a 'prompt' column, or you must rename the column you
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wish to generate text to 'prompt'.
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temperature (float, optional):
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A FLOAT64 value that is used for sampling promiscuity. The value
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must be in the range ``[0.0, 1.0]``. A lower temperature works well
@@ -638,10 +638,10 @@ def generate_table(
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model (bigframes.ml.base.BaseEstimator or str):
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The model to use for table generation.
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data (bigframes.pandas.DataFrame or bigframes.pandas.Series):
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The data to generate embeddings for. If a Series is provided, it is
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treated as the 'content' column. If a DataFrame is provided, it
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must contain a 'content' column, or you must rename the column you
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wish to embed to 'content'.
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The data to generate table for. If a Series is provided, it is
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treated as the 'prompt' column. If a DataFrame is provided, it
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must contain a 'prompt' column, or you must rename the column you
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wish to generate table to 'prompt'.
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output_schema (str):
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A string defining the output schema (e.g., "col1 STRING, col2 INT64").
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temperature (float, optional):

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