OneHotEncoder#

class OneHotEncoder(cols, prefix='onehot', sparse_output=False)[source]#

Onehot encoder from scikit-learn. return columns {prefix}_{col}.

__init__(cols, prefix='onehot', sparse_output=False)[source]#
Parameters:

  • cols (list[str]) – list of columns need encoding

  • prefix (str, optional) – return column prefix. Defaults to “onehot”.

  • sparse_output (bool, optional) – return sparse matrix. Ref scikit-learn. Defaults to False.

Methods

__init__(cols[, prefix, sparse_output])

from_config(config)

Create engine from config.

Attributes

engine_type