Class PolynomialFeatures (2.30.0)

PolynomialFeatures(degree: int = 2)

Generate polynomial and interaction features.

Methods

PolynomialFeatures(degree: int = 2)

Generate polynomial and interaction features.

__init__(degree=2)

API documentation for __init__ method.

fit(X, y=None)

Compute number of output features.

Returns
Type	Description
`PolynomialFeatures`	Fitted transformer.

fit_transform(X, y=None)

Fit to data, then transform it.

Parameters
Name	Description
`X`	`bigframes.dataframe.DataFrame or bigframes.series.Series` Series or DataFrame of shape (n_samples, n_features). Input samples.
`y`	`bigframes.dataframe.DataFrame or bigframes.series.Series` Series or DataFrame of shape (n_samples,) or (n_samples, n_outputs). Default None. Target values (None for unsupervised transformations).

Returns
Type	Description
`bigframes.dataframe.DataFrame`	DataFrame of shape (n_samples, n_features_new). Transformed DataFrame.

get_params(deep=True)

Get parameters for this estimator.

Parameter
Name	Description
`deep`	`bool, default True` Default `True`. If True, will return the parameters for this estimator and contained subobjects that are estimators.

Returns
Type	Description
`Dictionary`	A dictionary of parameter names mapped to their values.

to_gbq(model_name, replace=False)

Save the transformer as a BigQuery model.

Parameters
Name	Description
`model_name`	`str` The name of the model.
`replace`	`bool, default False` Determine whether to replace if the model already exists. Default to False.

transform(X)

Transform data to polynomial features.

Returns
Type	Description
`bigframes.dataframe.DataFrame`	Transformed result.