oraclesai.pipeline.SpatialColumnTransformer

class SpatialColumnTransformer(transformers, *, remainder='drop', sparse_threshold=0.3, n_jobs=None, transformer_weights=None, verbose=False, verbose_feature_names_out=True)

A spatial version of the scikit-learn class ColumnTransformer that can contain spatial estimator steps. It applies transformations to different subsets of columns and concatenates the results.

Methods

__init__(transformers, *[, remainder, ...])
fit(X[, y])	Calls the fit method of all the transformers using the corresponding column subset.
fit_transform(X[, y])	Fits all the transformers using the corresponding column subset 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[, y])	Calls the transform method of each transformer using the corresponding column subset and concatenate the results.

Attributes

named_estimators	Returns a list of tuples in the form (name, Transformer)
named_transformers_	Access the fitted transformer by name.
steps