oraclesai.pipeline.SpatialFeatureUnion

class SpatialFeatureUnion(transformer_list, *, n_jobs=None, transformer_weights=None, verbose=False, verbose_feature_names_out=True)

A spatial version of the scikit-learn FeatureUnion class that can take spatial estimator steps.

Methods

__init__(transformer_list, *[, n_jobs, ...])
fit(X[, y])	Fit all transformers using X.
fit_transform(X[, y])	Fits all the transformers, transforms the data, and concatenates the results.
get_feature_names_out([input_features])	Get output feature names for transformation.
get_params([deep])	Get parameters for this estimator.
set_params()	Set the parameters of this estimator.
transform(X, **transform_params)	Transforms X separately by each transformer and concatenates the results.

Attributes

n_features_in_	Number of features seen during fit.
named_estimators	Returns a list with all the transformers
steps