Overview of the APIs available in Bigframes.
Core Objects
Global options affecting BigQuery DataFrames behavior.
Encapsulates configuration for working with a session.
Encapsulates configuration for displaying objects.
Encapsulates configuration for data sampling.
Encapsulates configuration for compute options.
Establishes a BigQuery connection to capture a group of job activities related to DataFrames.
bigframes.pandas
Two-dimensional, size-mutable, potentially heterogeneous tabular data.
Class for grouping and aggregating relational data.
Class for grouping and aggregating relational data.
Immutable sequence used for indexing and alignment.
API documentation for pandas package.
N-dimensional analogue of DataFrame.
Accessor object for datetime-like properties of the Series values.
Make plots of Series or DataFrame with the matplotlib backend.
Vectorized string functions for Series and Index.
Accessor object for structured data properties of the Series values.
Provide window calculations.
bigframes.ml
Clustering models.
Build composite transformers on heterogeneous data.
Matrix Decomposition models.
Ensemble models.
Forecasting models.
Imported models.
Linear models.
LLM models.
API documentation for metrics package.
Functions for test/train split and model tuning.
For composing estimators together.
Transformers that prepare data for other estimators.
BigFrames general remote models.
All entries
Also take a look at all classes, methods and properties and attributes for Bigframes API.
