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chore: fix docstrings typos (#1100)
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bigframes/_config/__init__.py

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@@ -107,7 +107,7 @@ def sampling(self) -> sampling_options.SamplingOptions:
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The data can be downloaded into memory explicitly
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(e.g., to_pandas, to_numpy, values) or implicitly (e.g.,
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matplotlib plotting). This option can be overriden by
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matplotlib plotting). This option can be overridden by
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parameters in specific functions.
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Returns:

bigframes/ml/forecasting.py

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@@ -65,7 +65,7 @@ class ARIMAPlus(base.SupervisedTrainablePredictor):
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The data frequency of the input time series.
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Possible values are "auto_frequency", "per_minute", "hourly", "daily", "weekly", "monthly", "quarterly", "yearly"
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include_drift (bool, defalut False):
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include_drift (bool, default False):
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Determines whether the model should include a linear drift term or not. The drift term is applicable when non-seasonal d is 1.
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holiday_region (str or None, default None):

bigframes/ml/llm.py

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@@ -1080,7 +1080,7 @@ class Claude3TextGenerator(base.BaseEstimator):
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.. note::
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The models only availabe in specific regions. Check https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude#regions for details.
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The models only available in specific regions. Check https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude#regions for details.
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Args:
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model_name (str, Default to "claude-3-sonnet"):

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