API Reference

Refer to these pages for details about the public objects in the bigframes packages.

bigframes._config	Configuration for BigQuery DataFrames.
bigframes.bigquery	This module integrates BigQuery built-in functions for use with DataFrame objects, such as array functions: https://cloud.google.com/bigquery/docs/reference/standard-sql/array_functions.
bigframes.bigquery.ai	This module integrates BigQuery built-in AI functions for use with Series/DataFrame objects, such as AI.GENERATE_BOOL: https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-ai-generate-bool
bigframes.enums	Public enums used across BigQuery DataFrames.
bigframes.exceptions	Public exceptions and warnings used across BigQuery DataFrames.
bigframes.geopandas
bigframes.pandas	BigQuery DataFrames provides a DataFrame API backed by the BigQuery engine.
bigframes.streaming

ML APIs

BigQuery DataFrames provides many machine learning modules, inspired by scikit-learn.

bigframes.ml.cluster	Clustering models.
bigframes.ml.compose	Build composite transformers on heterogeneous data.
bigframes.ml.decomposition	Matrix Decomposition models.
bigframes.ml.ensemble	Ensemble models.
bigframes.ml.forecasting	Forcasting models.
bigframes.ml.imported	Imported models.
bigframes.ml.impute	Transformers for missing value imputation.
bigframes.ml.linear_model	Linear models.
bigframes.ml.llm	LLM models.
bigframes.ml.model_selection	Functions for test/train split and model tuning.
bigframes.ml.pipeline	For composing estimators together.
bigframes.ml.preprocessing	Transformers that prepare data for other estimators.
bigframes.ml.remote	BigFrames general remote models.