class_docstr: Base class for all imputers.
  
  It adds automatically support for `add_indicator`.
class_docstr_tok: ["Base","class","for","all","imputers",".","It","adds","automatically","support","for","`","add_indicator","`","."]
code: def __init__(self, *, missing_values=np.nan, add_indicator=False):
      self.missing_values = missing_values
      self.add_indicator = add_indicator
  
imports: from ....internals import _deprecate_pos_args
  from ....common.array_descriptor import CumlArrayDescriptor
  from ....internals.array_sparse import SparseCumlArray
  from ..utils.validation import FLOAT_DTYPES
  from ..utils.validation import check_is_fitted
  from cuml.internals.mixins import AllowNaNTagMixin, SparseInputTagMixin, StringInputTagMixin
  from ..utils.skl_dependencies import BaseEstimator, TransformerMixin
  from ....thirdparty_adapters import _get_mask, _masked_column_median, _masked_column_mean, _masked_column_mode
  from cuml.internals.safe_imports import gpu_only_import_from
  import cuml
  from cuml.internals.safe_imports import gpu_only_import
  import numbers
  import warnings
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 1 to create a new _BaseImputer object from inherited base classes: TransformerMixin with example: obj = _BaseImputer()