ColumnTransformer

E97069

estimator scikit-learn class transformer

ColumnTransformer is a scikit-learn utility that applies different preprocessing or transformation pipelines to specified columns of a dataset within a single unified estimator.

Jump to: Surface forms Statements Referenced by

Observed surface forms (1)

Surface form	Occurrences
sklearn.compose.ColumnTransformer	1

Statements (52)

Predicate	Object
instanceOf	estimator ⓘ scikit-learn class ⓘ transformer ⓘ
canContain	Pipeline estimators ⓘ single transformers ⓘ
combinesOutputsBy	column-wise concatenation ⓘ
commonlyUsedWith	OneHotEncoder ⓘ Pipeline ⓘ StandardScaler ⓘ
compatibleWith	NumPy array ⓘ pandas DataFrame ⓘ scipy sparse matrix ⓘ
documentationURL	https://scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html ⓘ
hasFullName	ColumnTransformer self-linksurface differs ⓘ surface form: sklearn.compose.ColumnTransformer
hasParameter	force_int_remainder_cols ⓘ n_jobs ⓘ remainder ⓘ sparse_threshold ⓘ transformer_weights ⓘ transformers ⓘ verbose ⓘ verbose_feature_names_out ⓘ
introducedInVersion	scikit-learn ⓘ surface form: scikit-learn 0.20
outputType	NumPy array ⓘ scipy sparse matrix ⓘ
parameterAllowedValue	remainder='drop' ⓘ remainder='passthrough' ⓘ
parameterDefault	remainder='drop' ⓘ
parameterType	force_int_remainder_cols:bool ⓘ n_jobs:int or None ⓘ remainder:str or estimator ⓘ sparse_threshold:float ⓘ transformer_weights:dict or None ⓘ transformers:list of tuples ⓘ verbose:bool ⓘ verbose_feature_names_out:bool or str ⓘ
partOf	scikit-learn ⓘ sklearn.compose module ⓘ
supports	integration into scikit-learn Pipeline ⓘ
supportsColumnSelectionBy	boolean masks ⓘ column indices ⓘ column names ⓘ
supportsMethod	fit ⓘ fit_predict ⓘ fit_transform ⓘ get_feature_names_out ⓘ get_params ⓘ set_params ⓘ transform ⓘ
usedFor	applying different transformers to different columns ⓘ column-wise preprocessing ⓘ heterogeneous feature preprocessing ⓘ

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

scikit-learn → hasConcept → ColumnTransformer ⓘ

ColumnTransformer → hasFullName → ColumnTransformer self-linksurface differs ⓘ

this entity surface form: sklearn.compose.ColumnTransformer