SparkOHEEncoderEstimator

class sparklightautoml.transformers.categorical.SparkOHEEncoderEstimator(input_cols, input_roles, do_replace_columns=False, make_sparse=None, total_feats_cnt=None, dtype=numpy.float32)[source]

Bases: SparkBaseEstimator

Simple OneHotEncoder over label encoded categories.

property features

Features list.

__init__(input_cols, input_roles, do_replace_columns=False, make_sparse=None, total_feats_cnt=None, dtype=numpy.float32)[source]
Parameters:
  • make_sparse (Optional[bool]) – Create sparse matrix.

  • total_feats_cnt (Optional[int]) – Initial features number.

  • dtype (type) – Dtype of new features.