FunctionTransformer
FunctionTransformer# class sklearn.preprocessing.FunctionTransformer(func=None, inverse_func=None, *, validate=False, accept_sparse=False, check_inverse=True, feature_names_out=None, kw_args=None, inv_kw_args=None)[source]# Constructs a transformer from an arbitrary callable. A FunctionTransformer forwards its X (and optionally y) arguments to a user-defined function or function object and returns
sklearn.preprocessing.Imputer — scikit-learn 0.21.3 documentation
class sklearn.preprocessing.Imputer(*args, **kwargs)[source]¶ Imputation transformer for completing missing values. Read more in the User Guide. missing_values : integer or “NaN”, optional (default=”NaN”) The placeholder for the missing values. All occurrences of missing_values will be imputed. For missing values encoded as np.nan, use the string value “NaN”. strategy : string, optional (default=”
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StandardScaler
